4.5 Article

Multi-threshold image segmentation for melanoma based on Kapur's entropy using enhanced ant colony optimization

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Boosting whale optimization with evolution strategy and Gaussian random walks: an image segmentation method

Abdelazim G. Hussien et al.

Summary: This study proposes an enhanced variant of the whale optimization algorithm (WOA) called VCSWOA, which combines components from other algorithms. The comprehensive testing and comparison with other algorithms demonstrate that VCSWOA outperforms its peers in terms of performance.

ENGINEERING WITH COMPUTERS (2023)

Article Engineering, Electrical & Electronic

Kapur's Entropy based Hybridised WCMFO Algorithm for Brain MR Image Segmentation

A. Renugambal et al.

Summary: This article proposes a Kapur-based hybridized algorithm that combines a water cycle algorithm and moth flame optimisation in brain MR image segmentation. The algorithm shows faster convergence and broader exploration and exploitation capabilities compared to other adaptive optimization algorithms.

IETE JOURNAL OF RESEARCH (2023)

Article Computer Science, Artificial Intelligence

Dynamic hybrid mechanism-based differential evolution algorithm and its application

Yingjie Song et al.

Summary: This paper proposes an optimization algorithm QGDECC, which combines quantum evolutionary algorithm and genetic algorithm, to effectively schedule railway train delay. The algorithm is validated on benchmark functions and actual train operation data, and the results show that QGDECC has higher adaptability and convergence speed, and can effectively eliminate the impact of delay on the railway network.

EXPERT SYSTEMS WITH APPLICATIONS (2023)

Article Computer Science, Artificial Intelligence

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain

Senrong You et al.

Summary: Magnetic resonance (MR) imaging is crucial in clinical and brain exploration, yet it is challenging to acquire high-resolution MR images due to hardware limitations, scanning time, and cost. In this article, the authors propose FP-GANs, a model that uses divide-and-conquer approach to generate super-resolution MR images. The model separates and processes the low-frequency and high-frequency components of MR images and achieves better structure recovery and classification performance.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2023)

Article Engineering, Electrical & Electronic

Threshold-Based New Segmentation Model to Separate the Liver from CT Scan Images

Sangeeta K. Siri et al.

Summary: The liver, being a complex organ with anatomical variations and close proximity to neighboring organs, requires accurate image segmentation for disease severity assessment. This paper proposes a novel liver segmentation model based on Slope Difference Distribution (SDD) of image histogram. The model has been tested on 55 CT scan images and achieved satisfactory results.

IETE JOURNAL OF RESEARCH (2022)

Article Computer Science, Interdisciplinary Applications

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis

Shengye Hu et al.

Summary: This paper proposes a 3D end-to-end synthesis network called BMGAN for synthesizing PET images from brain MR images. The method utilizes a bidirectional mapping mechanism and employs a 3D Dense-UNet generator architecture and hybrid loss functions to generate high-quality cross-modality synthetic images while preserving the diverse brain structures of different subjects.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2022)

Article Biochemical Research Methods

An Integrative Framework of Heterogeneous Genomic Data for Cancer Dynamic Modules Based on Matrix Decomposition

Xiaoke Ma et al.

Summary: This study proposes an integrative framework for dynamic module detection based on regularized nonnegative matrix factorization method, which can be applied to cancer diagnosis and therapy. Experimental results demonstrate that the framework outperforms other methods in terms of accuracy. For breast cancer data, the obtained dynamic modules are more enriched and can be used to predict cancer stages and patients' survival time.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2022)

Article Computer Science, Artificial Intelligence

Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection

Jiao Hu et al.

Summary: The dispersed foraging slime mould algorithm (DFSMA) is proposed as an enhanced version of the slime mould algorithm (SMA) to address the limitations of SMA in solving multimodal and hybrid functions. Experimental results demonstrate that DFSMA outperforms other algorithms in terms of convergence speed and accuracy. Furthermore, the binary DFSMA (BDFSMA) is evaluated and found to have improved performance in classification accuracy and feature selection compared to other optimization algorithms.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Computer Science, Information Systems

Apple leaf disease recognition method with improved residual network

Helong Yu et al.

Summary: This paper proposes an MSO-ResNet apple leaf disease recognition model based on ResNet50, which improves the identification accuracy and speed of the model by optimizing the model structure and parameters. The experimental results demonstrate that the proposed model achieves high precision and fast recognition in leaf disease identification.

MULTIMEDIA TOOLS AND APPLICATIONS (2022)

Article Biology

Multilevel threshold image segmentation for COVID-19 chest radiography: A framework using horizontal and vertical multiverse optimization

Hang Su et al.

Summary: COVID-19 is spreading globally, and the diagnosis is usually based on examining chest radiographs. Manual processing of the images is not efficient and accurate enough. To improve the efficiency, this research proposes a multilevel thresholding image segmentation method based on an enhanced multiverse optimizer. The method achieves better segmentation results and can help medical organizations process COVID-19 chest radiography effectively.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Automation & Control Systems

Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm

Helong Yu et al.

Summary: This paper introduces the issues and shortcomings of Grey Wolf Optimizer (GWO) and proposes an improved version called Multi-Stage Grey Wolf Optimizer (MGWO). By dividing the search process into three stages and using different population updating strategies, MGWO improves optimization ability while maintaining a certain convergence speed. It has a better balance of exploration and exploitation, can avoid getting trapped in local optima, and obtains higher-quality solutions.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2022)

Article Computer Science, Artificial Intelligence

INFO: An efficient optimization algorithm based on weighted mean of vectors

Iman Ahmadianfar et al.

Summary: This study presents the analysis and principle of an innovative optimizer called INFO, which utilizes the weighted mean method to optimize different problems. The results show that INFO outperforms other methods in terms of exploration and exploitation, and is capable of converging to satisfactory solutions in engineering problems.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

Article Computer Science, Artificial Intelligence

Multi-threshold image segmentation using a multi-strategy shuffled frog leaping algorithm

Yi Chen et al.

Summary: In this study, a multi-strategy-driven shuffled frog leaping algorithm with horizontal and vertical crossover search (HVSFLA) is proposed for medical image segmentation. The algorithm achieves a better balance between diversification and intensification through horizontal and vertical crossover search. Experimental results demonstrate that HVSFLA outperforms other competing algorithms, showing great potential for medical image segmentation.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

Article Computer Science, Artificial Intelligence

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

Sen Qiu et al.

Summary: This paper introduces common wearable sensors, smart wearable devices, and key application areas, proposing fusion methods for multi-modality and multi-location sensors. It comprehensively surveys important aspects of wearable sensor fusion methods in human activity recognition, including new technologies in unsupervised learning and transfer learning, while also discussing open research issues that need further investigation and improvement.

INFORMATION FUSION (2022)

Article Computer Science, Information Systems

An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems

Wu Deng et al.

Summary: This paper proposes an enhanced fast NSGA-II algorithm (ASDNSGA-II) for solving multi-modal multi-objective optimization problems. By using a special congestion strategy and adaptive crossover strategy, ASDNSGA-II improves the distribution and convergence of solutions. Experimental results show that ASDNSGA-II can effectively find the global Pareto solution set and improve the distribution and convergence of solutions.

INFORMATION SCIENCES (2022)

Article Computer Science, Artificial Intelligence

Context-aware road travel time estimation by coupled tensor decomposition based on trajectory data

Liping Huang et al.

Summary: This paper proposes a context-aware road travel time estimation framework using trajectory data and third-order tensor modeling, combined with congestion levels and points of interest information to fill missing data and calculate the final travel time matrix. The effectiveness of the method was validated on two real-world datasets, showing superior accuracy performance compared to state-of-the-art methods.

KNOWLEDGE-BASED SYSTEMS (2022)

Article Computer Science, Artificial Intelligence

Brain stroke lesion segmentation using consistent perception generative adversarial network

Shuqiang Wang et al.

Summary: State-of-the-art deep learning methods have achieved impressive performance in segmentation tasks, but they require a large amount of manually labeled masks. This study proposes a novel CPGAN method for semi-supervised stroke lesion segmentation, which reduces the need for fully labeled samples. Experimental results demonstrate the superior performance of the proposed method.

NEURAL COMPUTING & APPLICATIONS (2022)

Article Automation & Control Systems

An Enhanced MSIQDE Algorithm With Novel Multiple Strategies for Global Optimization Problems

Wu Deng et al.

Summary: In this paper, an enhanced MSIQDE algorithm based on mixing multiple strategies, called EMMSIQDE, is proposed to overcome the limitations of QDE in optimization problems. EMMSIQDE achieves better optimization performance by using new mutation strategies and evolution mechanisms, as well as a feasible solution space transformation strategy.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)

Article Automation & Control Systems

Solving Multiobjective Fuzzy Job-Shop Scheduling Problem by a Hybrid Adaptive Differential Evolution Algorithm

Gai-Ge Wang et al.

Summary: The job-shop scheduling problem is of great practical significance, but is difficult to solve due to many uncontrollable factors. The introduction of fuzzy processing time and completion time allows for a more comprehensive scheduling model, which can be optimized using a hybrid adaptive differential evolution algorithm. Experimental results show that this algorithm outperforms other state-of-the-art algorithms.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2022)

Article Biology

Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement

Keli Hu et al.

Summary: In this paper, a novel method called NeutSS-PLP is proposed for polyp region extraction in colonoscopy images using a short connected saliency detection network with neutrosophic enhancement. Experimental results on two public datasets demonstrate the effectiveness of the proposed method for polyp extraction.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Computer Science, Artificial Intelligence

Deep Feature-Based Text Clustering and its Explanation

Renchu Guan et al.

Summary: The paper proposes a deep feature-based text clustering framework that incorporates pretrained text encoders into clustering tasks. The model outperforms classic algorithms and BERT on multiple datasets and provides explanations for the clustering results, aiding the understanding of deep learning approaches.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2022)

Article Biochemical Research Methods

Dynamic Module Detection in Temporal Attributed Networks of Cancers

Dongyuan Li et al.

Summary: Tracking dynamic modules during cancer progression is crucial for studying cancer pathogenesis, diagnosis, and therapy. Current algorithms focusing on detecting dynamic modules without integrating heterogeneous genomic data have limitations, which this study addresses by proposing a novel algorithm (TANMF) that integrates temporal networks and gene attributes. Experimental results demonstrate the superiority of TANMF in accuracy and its ability to identify dynamic modules associated with patients' survival time in breast cancer data.

IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2022)

Article Computer Science, Artificial Intelligence

An adaptive differential evolution algorithm based on belief space and generalized opposition-based learning for resource allocation

Wu Deng et al.

Summary: This paper introduces an improved adaptive DE algorithm ACDE/F, which addresses the premature convergence and local optimization issues commonly seen in DE algorithms by incorporating belief space strategy, generalized opposition-based learning strategy, and parameter adaptive strategy. Experimental results demonstrate that ACDE/F outperforms other algorithms in optimization performance and exhibits good performance in practical applications.

APPLIED SOFT COMPUTING (2022)

Article Biology

Directional mutation and crossover boosted ant colony optimization with application to COVID-19 X-ray image segmentation

Ailiang Qi et al.

Summary: This paper focuses on the study of COVID-19 X-ray image segmentation technology. A new multilevel image segmentation method based on the swarm intelligence algorithm is proposed, along with a designed image segmentation model. Experimental results show that the proposed model achieves more stable and superior segmentation results at different threshold levels.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Biology

Multi-level thresholding segmentation for pathological images: Optimal performance design of a new modified differential evolution

Lili Ren et al.

Summary: The proposed MLTS segmentation method based on MDE offers significant convergence accuracy and the capability to leap out of the local optimum. By incorporating the movement mechanisms of white holes, black holes, and wormholes into various evolutions, this novel evolutionary algorithm shows high-quality segmentation results and less susceptibility to process stagnation.

COMPUTERS IN BIOLOGY AND MEDICINE (2022)

Article Acoustics

Expediting Image Acquisition in Reflection Ultrasound Computed Tomography

Berkan Lafci et al.

Summary: Reflection ultrasound computed tomography (RUCT) is a new imaging technology that achieves optimal image quality for fully accessible objects from multiple directions. It effectively mitigates several deficiencies of conventional pulse-echo ultrasound systems. However, the small interelement pitch required in RUCT increases system complexity and costs, and limits imaging speed. This study explores acquisition schemes that enable RUCT imaging with a reduced number of transmit/receive elements and assesses the tradeoffs in achievable field of view, contrast-to-noise ratio, and temporal and spatial resolutions.

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL (2022)

Article Computer Science, Information Systems

Multi-strategy particle swarm and ant colony hybrid optimization for airport taxiway planning problem

Wu Deng et al.

Summary: The study proposed a multi-strategy particle swarm and ant colony hybrid optimization algorithm (MPSACO) to solve airport taxiway planning problems, aiming to enhance resource utilization efficiency and reduce conflicts through optimization algorithms.

INFORMATION SCIENCES (2022)

Article Computer Science, Artificial Intelligence

Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection

Yun Liu et al.

Summary: This paper proposes an improved shuffled frog leaping algorithm that incorporates dynamic step size adjustment, specular reflection learning, and simulated annealing mechanisms. Experimental results show that the algorithm achieves superior solutions and performs well in feature selection tasks.

NEUROCOMPUTING (2022)

Article Computer Science, Artificial Intelligence

Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment

Wen Yu et al.

Summary: The proposed model in this study combines deep learning and high-order pooling techniques for early diagnosis of AD, and demonstrates superior performance in MRI image classification.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)

Article Computer Science, Information Systems

Constructing dummy query sequences to protect location privacy and query privacy in location-based services

Zongda Wu et al.

Summary: This paper proposes a method to protect user privacy in LBS by constructing dummy query sequences to conceal user query locations and attributes, effectively protecting location privacy and attribute privacy.

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2021)

Article Mathematics, Interdisciplinary Applications

Modified Whale Optimization Algorithm for Solar Cell and PV Module Parameter Identification

Xiaojia Ye et al.

Summary: The article introduces a novel modified Whale Optimization Algorithm (MWOA) that balances the exploration and exploitation of the algorithm by introducing the mutation strategy based on Levy flight and a local search mechanism of pattern search. This combination enhances the algorithm's global search capability and local optimization ability, making it more effective in parameter identification and optimization for solar cells and PV modules under diverse conditions.

COMPLEXITY (2021)

Article Computer Science, Artificial Intelligence

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

Yutao Yang et al.

Summary: The research proposes a population-based optimization technique called Hunger Games Search (HGS), designed based on the hunger-driven activities and behavioral choices of animals, with a simple structure, special stability features, and competitive performance to efficiently address constrained and unconstrained problems.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Review Automation & Control Systems

A Survey of Evolutionary Algorithms for Multi-Objective Optimization Problems With Irregular Pareto Fronts

Yicun Hua et al.

Summary: This paper provides a comprehensive survey of research on solving multi-objective optimization problems with irregular Pareto fronts, covering basic concepts, benchmark test problems, analysis of irregularity causes, real-world optimization problems, existing methodologies, representative algorithms, strengths, weaknesses, open challenges, and future directions.

IEEE-CAA JOURNAL OF AUTOMATICA SINICA (2021)

Article Engineering, Biomedical

Multiscale hybrid algorithm for pre-processing of ultrasound images

Ademola E. Ilesanmi et al.

Summary: This paper introduces a new algorithm for reducing speckle noise in breast ultrasound images, which combines multiscale approach, Wiener filter, and fast bilateral filter. The proposed method outperforms other state-of-the-art filters in terms of noise reduction effectiveness.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

Article Computer Science, Artificial Intelligence

RUN beyond the metaphor: An efficient optimization algorithm based on Runge Kutta method

Iman Ahmadianfar et al.

Summary: The optimization field is plagued by metaphor-based pseudo-novel or fancy optimizers, with limited contributions to the optimization process. This study introduces a novel metaphor-free population-based optimization method called RUNge Kutta optimizer (RUN) based on mathematical foundations, showing promising results in mathematical tests and engineering problems. The RUN algorithm utilizes slope variations computed by the RK method for global optimization, demonstrating superior exploration and exploitation tendencies, fast convergence rate, and local optima avoidance.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Artificial Intelligence

Knee-Based Decision Making and Visualization in Many-Objective Optimization

Zhenan He et al.

Summary: A novel knee-based decision-making method is proposed to search for solutions of interest from a large number of solutions on the Pareto front, ensuring the performance of these solutions approximates as much as possible the whole Pareto front. Additionally, a new visualization approach is developed to provide information about the shape, location, possible bulge, convergence degree, and distribution of solutions on MaOPs.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

Article Computer Science, Artificial Intelligence

An effective approach for the protection of user commodity viewing privacy in e-commerce website

Zongda Wu et al.

Summary: This paper proposes a method to protect users' commodity viewing privacy by constructing dummy requests on a trusted client to confuse and cover up user preferences on the untrusted server-side. The study introduces a privacy model and an implementation algorithm to measure the effectiveness of confusion and cover-up effects. The results show that the proposed approach effectively enhances the security of users' commodity viewing privacy on the untrusted server-side.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Engineering, Biomedical

Breast DCE-MRI segmentation for lesion detection by multi-level thresholding using student psychological based optimization

Dipak Kumar Patra et al.

Summary: Breast DCE-MRI segmentation is crucial for accurate diagnosis of breast cancer, with optimization techniques playing an important role in differentiating lesions. The proposed SPBO algorithm achieves high accuracy levels and outperforms existing segmentation methods.

BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)

Article Computer Science, Artificial Intelligence

A text GAN framework for creative essay recommendation

Guoxi Liang et al.

Summary: Automated essay scoring is an exciting task in natural language processing where researchers have been exploring the detection of creative essays. This paper proposes a method using a generative adversarial network framework to judge the creativity of essays by masking part of the content. Experimental results show the feasibility of the proposed approach in identifying creative essays.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem

Ruyi Dong et al.

Summary: The Kernel Search Optimization (KSO) algorithm was proposed to simplify the optimization process by transforming the optimization of nonlinear functions into a linear process. By adopting a local search of the hill-climbing algorithm and simplifying the calculation of kernel parameters, the improved algorithm outperformed the original KSO and some well-known algorithms in terms of accuracy and running time.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Biochemical Research Methods

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization

Lei Li et al.

Summary: miRNAs are closely related to many human diseases, and predicting potential associations between miRNAs and diseases is important for disease diagnosis and treatment. SCMFMDA, which fuses multi-source disease and miRNA information using similarity network fusion and utilizes similarity constrained matrix factorization for prediction, achieves more accurate prediction results. Evaluated through global Leave-one-out cross validation and five-fold cross validation, SCMFMDA achieves higher AUCs compared to previous computational models. Case studies on significant human diseases confirm the effectiveness of SCMFMDA in discovering unverified connections between miRNAs and diseases.

PLOS COMPUTATIONAL BIOLOGY (2021)

Review Medicine, General & Internal

Machine Learning and Deep Learning Methods for Skin Lesion Classification and Diagnosis: A Systematic Review

Mohamed A. Kassem et al.

Summary: This study reviewed and synthesized research papers on computer-aided systems for skin lesion diagnosis published in the past five years, comparing traditional machine learning and deep learning methods in terms of their contributions and results. The study also highlighted the main challenges in evaluating skin lesion segmentation and classification methods.

DIAGNOSTICS (2021)

Article Biochemical Research Methods

Drug repositioning based on the heterogeneous information fusion graph convolutional network

Lijun Cai et al.

Summary: The study introduces a novel method for drug repositioning based on graph convolutional network, which effectively discovers potential drugs. By designing feature extraction modules and attention mechanism, higher prediction performance is achieved. Experiments demonstrate the superior performance of this method in multiple benchmark datasets, identifying several novel drugs for disease treatment.

BRIEFINGS IN BIOINFORMATICS (2021)

Article Engineering, Multidisciplinary

The Colony Predation Algorithm

Jiaze Tu et al.

Summary: This paper introduces a new stochastic optimizer called the Colony Predation Algorithm (CPA) based on the predation behavior of animals in nature, utilizing mathematical mapping to improve algorithm performance by simulating strategies used by animal hunting groups. The proposed CPA demonstrates competitive performance in optimizing engineering problems and will provide publicly available source code after publication.

JOURNAL OF BIONIC ENGINEERING (2021)

Article Computer Science, Hardware & Architecture

Contour Feature Extraction of Medical Image Based on Multi-Threshold Optimization

Wei Li et al.

Summary: The proposed method based on multi-threshold optimization can effectively extract contour feature information of medical images, achieve ideal feature extraction results, and have high efficiency in feature extraction.

MOBILE NETWORKS & APPLICATIONS (2021)

Article Computer Science, Information Systems

A user sensitive subject protection approach for book search service

Zongda Wu et al.

JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY (2020)

Article Surgery

Automated Lesion Segmentation and Quantitative Analysis of Nevus in Whole-Face Images

Wei Chen et al.

JOURNAL OF CRANIOFACIAL SURGERY (2020)

Article Biochemical Research Methods

A Heuristic Algorithm for Identifying Molecular Signatures in Cancer

Yansen Su et al.

IEEE TRANSACTIONS ON NANOBIOSCIENCE (2020)

Article Engineering, Electrical & Electronic

A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services

Zongda Wu et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2020)

Article Computer Science, Theory & Methods

Slime mould algorithm: A new method for stochastic optimization

Shimin Li et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Article Computer Science, Theory & Methods

Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies

Hao Chen et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

Article Computer Science, Information Systems

An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis

Lei Song et al.

IEEE Journal of Biomedical and Health Informatics (2020)

Article Computer Science, Artificial Intelligence

Solving Fuzzy Job-Shop Scheduling Problem Using DE Algorithm Improved by a Selection Mechanism

Da Gao et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Engineering, Electrical & Electronic

Exemplar-Based Denoising: A Unified Low-Rank Recovery Framework

Xiaoqin Zhang et al.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2020)

Article Computer Science, Artificial Intelligence

Evolutionary Multiobjective Optimization With Robustness Enhancement

Zhenan He et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2020)

Article Computer Science, Interdisciplinary Applications

Biped robot stability based on an A-C parametric Whale Optimization Algorithm

Mostafa A. Elhosseini et al.

JOURNAL OF COMPUTATIONAL SCIENCE (2019)

Article Computer Science, Artificial Intelligence

Efficient boosted grey wolf optimizers for global search and kernel extreme learning machine training

Ali Asghar Heidari et al.

APPLIED SOFT COMPUTING (2019)

Article Computer Science, Artificial Intelligence

The defect of the Grey Wolf optimization algorithm and its verification method

Peifeng Niu et al.

KNOWLEDGE-BASED SYSTEMS (2019)

Article Engineering, Multidisciplinary

Multi-strategy boosted mutative whale-inspired optimization approaches

Jie Luo et al.

APPLIED MATHEMATICAL MODELLING (2019)

Article Computer Science, Theory & Methods

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

Article Automation & Control Systems

Improved continuous Ant Colony Optimization algorithms for real-world engineering optimization problems

Mahamed G. H. Omran et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)

Article Computer Science, Artificial Intelligence

Evolving an optimal kernel extreme learning machine by using an enhanced grey wolf optimization strategy

Zhennao Cai et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Article Computer Science, Artificial Intelligence

Hybridizing sine cosine algorithm with differential evolution for global optimization and object tracking

Hathiram Nenavath et al.

APPLIED SOFT COMPUTING (2018)

Article Computer Science, Interdisciplinary Applications

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks

Mohammed A. Al-Masni et al.

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2018)

Article Computer Science, Artificial Intelligence

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment

Mohamed Issa et al.

EXPERT SYSTEMS WITH APPLICATIONS (2018)

Review Computer Science, Artificial Intelligence

Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines

Huei Diana Lee et al.

KNOWLEDGE-BASED SYSTEMS (2018)

Editorial Material Pharmacology & Pharmacy

Clinical Success of Drug Targets Prospectively Predicted by In Silico Study

Feng Zhu et al.

TRENDS IN PHARMACOLOGICAL SCIENCES (2018)

Article Mathematical & Computational Biology

A Modified Sine-Cosine Algorithm Based on Neighborhood Search and Greedy Levy Mutation

Chiwen Qu et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)

Review Engineering, Biomedical

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks

Lei Bi et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2017)

Article Computer Science, Artificial Intelligence

Towards Context-aware Social Recommendation via Individual Trust

Jun Li et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Article Computer Science, Information Systems

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images

Euijoon Ahn et al.

IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2017)

Article Computer Science, Interdisciplinary Applications

The Whale Optimization Algorithm

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2016)

Article Engineering, Biomedical

Skin lesion image segmentation using Delaunay Triangulation for melanoma detection

Andrea Pennisi et al.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2016)

Article Thermodynamics

Economic dispatch using chaotic bat algorithm

B. R. Adarsh et al.

ENERGY (2016)

Article Computer Science, Artificial Intelligence

Imperceptibility-Robustness tradeoff studies for ECG steganography using Continuous Ant Colony Optimization

Edward S. Jero et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

SCA: A Sine Cosine Algorithm for solving optimization problems

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2016)

Article Computer Science, Artificial Intelligence

An efficient hybrid kernel extreme learning machine approach for early diagnosis of Parkinson's disease

Hui-Ling Chen et al.

NEUROCOMPUTING (2016)

Article Computer Science, Artificial Intelligence

TSA: Tree-seed algorithm for continuous optimization

Mustafa Servet Kiran

EXPERT SYSTEMS WITH APPLICATIONS (2015)

Article Automation & Control Systems

Hybridizing grey wolf optimization with differential evolution for global optimization and test scheduling for 3D stacked SoC

Aijun Zhu et al.

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS (2015)

Article Computer Science, Artificial Intelligence

Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Stochastic Fractal Search: A powerful metaheuristic algorithm

Hamid Salimi

KNOWLEDGE-BASED SYSTEMS (2015)

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

Article Mathematics, Applied

Towards an optimal support vector machine classifier using a parallel particle swarm optimization strategy

Hui Ling Chen et al.

APPLIED MATHEMATICS AND COMPUTATION (2014)

Article Computer Science, Interdisciplinary Applications

Forecasting of landslide disasters based on bionics algorithm (Part 1: Critical slip surface searching)

Wei Gao

COMPUTERS AND GEOTECHNICS (2014)

Article Computer Science, Information Systems

An efficient and reliable approach for quality-of-service-aware service composition

Jun Li et al.

INFORMATION SCIENCES (2014)

Article Computer Science, Information Systems

How novel is the novel black hole optimization approach?

Adam P. Piotrowski et al.

INFORMATION SCIENCES (2014)

Article Computer Science, Artificial Intelligence

Recurrent fuzzy system design using elite-guided continuous ant colony optimization

Chia-Feng Juang et al.

APPLIED SOFT COMPUTING (2011)

Article Computer Science, Artificial Intelligence

FSIM: A Feature Similarity Index for Image Quality Assessment

Lin Zhang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2011)

Article Computer Science, Artificial Intelligence

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

Joaquin Derrac et al.

SWARM AND EVOLUTIONARY COMPUTATION (2011)

Article Computer Science, Artificial Intelligence

Firefly algorithm, stochastic test functions and design optimisation

Xin-She Yang

INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION (2010)

Article Engineering, Electrical & Electronic

Scope of validity of PSNR in image/video quality assessment

Q. Huynh-Thu et al.

ELECTRONICS LETTERS (2008)

Article Management

A colony optimization for continuous domains

Krzysztof Socha et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2008)

Article Computer Science, Artificial Intelligence

Image quality assessment: From error visibility to structural similarity

Z Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)