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Engineering, Biomedical
Siyu Lu et al.
Summary: This paper proposes a discriminative sparse transform iterative reconstruction algorithm for low-dose CT images, which introduces a priori image and global constraint term to reduce noise and artifacts, improve image quality, and overcome the dependence on prior images and registration problems in traditional methods.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Xiaoqin Zhang et al.
Summary: In this article, a general optimization framework that uses structured sparsity to achieve superior recovery results is presented. The traditional method of solving structured sparse objectives using the L-2, L-1-norm as a convex surrogate often leads to large performance gaps. To address this issue, a framework that allows for a wide range of surrogate functions, including non-convex ones, is provided. A fixed point algorithm is also developed to solve a key non-convex structured sparse recovery optimization problem to global optimality with a guaranteed super-linear convergence rate. Three specific applications, outlier pursuit, supervised feature selection, and structured dictionary learning, are considered, and the optimization problem formulation and relaxation under a generic surrogate function are explained in detail. Extensive experiments on synthetic and real-world data demonstrate the effectiveness and efficiency of the proposed framework.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Engineering, Biomedical
Ziyan Zhang et al.
Summary: This paper introduces an improved ORB algorithm using Gaussian Pyramid for endoscopic image mosaic, which achieves high accuracy, efficiency, and real-time performance.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Biology
Jianfu Xia et al.
Summary: A new parameter optimization strategy based on DFSCA is proposed and integrated into KELM to establish DFSCA-KELM, improving optimization performance. Experimental results demonstrate the effectiveness of the model in medical diagnosis.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Biology
Jiao Hu et al.
Summary: In this study, a machine learning method combining MQGWO and FKNN was used to analyze data from HD patients, revealing hypoalbuminemia as an important risk factor for mortality in HD patients. The proposed MQGWO method showed great potential in detecting serum albumin level trends.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Biochemical Research Methods
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
Dermatology
E. K. Johansson et al.
Summary: This Swedish study investigated the prevalence and characteristics of atopic dermatitis (AD) among young adults. The results showed that AD is a common disease among young adults, and even though more females than males have AD at 24 years, adult onset of AD seems to be equally prevalent among both sexes in young adulthood.
JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
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
Ophthalmology
Kai Jin et al.
Summary: This study utilized a multimodal deep learning model for the assessment of CNV in neovascular AMD, achieving comparable accuracy to retinal specialists. The FLF method proved to be feasible and highly accurate, with the model demonstrating potential for clinical use based on testing on external data sets.
ACTA OPHTHALMOLOGICA
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Caohui Duan et al.
Summary: The study accelerated multiple b-value gas DW-MRI using deep learning, achieving high-quality reconstructions with faster speed. The DC-RDN demonstrated effectiveness in maintaining accurate estimation of lung microstructural morphometry, showing great potential for studying lung diseases in the future.
EUROPEAN RADIOLOGY
(2022)
Article
Biology
Xiao Yang et al.
Summary: Intradialytic hypotension (IDH) is a common acute complication in hemodialysis (HD) sessions, associated with increased morbidity and mortality in HD patients. This study proposes a feature selection framework called BSWEGWO_KELM, based on an enhanced grey wolf optimization algorithm and the kernel extreme learning machine, to accurately predict IDH.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Biology
Jiao Hu et al.
Summary: This study proposes a method for early and accurate assessment of COVID-19 severity by collecting arterial blood samples from patients and using an improved binary Harris hawk optimization algorithm combined with a kernel extreme learning machine. The experimental results show that indicators such as age, partial pressure of oxygen, oxygen saturation, sodium ion concentration, and lactic acid play a crucial role in the assessment of COVID-19 severity.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Computer Science, Artificial Intelligence
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)
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Computer Science, Artificial Intelligence
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
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
Automation & Control Systems
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)
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Allergy
Koichiro Asano et al.
Summary: Researchers from Germany and Japan focused on the pathological conditions and modifiers of various allergic diseases, highlighting the importance of recognizing the diversity of genetics, immunological mechanisms, and modifying factors underlying allergic diseases.
ALLERGOLOGY INTERNATIONAL
(2022)
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Chemistry, Multidisciplinary
Shan Liu et al.
Summary: Image-guided surgery (IGS) reduces tissue damage and improves accuracy and targeting of lesions by increasing visual field. This experiment studies a 2D/3D medical image registration algorithm based on gray level and introduces a new similarity measure and a multiresolution strategy to enhance registration accuracy and efficiency.
APPLIED SCIENCES-BASEL
(2022)
Article
Immunology
Remo Poto et al.
Summary: Release of proinflammatory mediators and cytokines from basophils and mast cells mediated by IgE is a key event in allergic disorders. The presence and functional activity of anti-IgE autoantibodies in atopic dermatitis (AD) are largely unknown. This study evaluated the ability of IgG anti-IgE from patients with AD to induce in vitro IgE-dependent activation of basophils and mast cells.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Ailiang Qi et al.
Summary: A new variant of the whale optimization algorithm, named LXMWOA, is proposed in this paper to enhance the performance of WOA by introducing Levy initialization strategy, directional crossover mechanism, and directional mutation mechanism. Experimental results show that LXMWOA outperforms its peers in both exploration and exploitation capabilities, suggesting great potential for solving engineering problems.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2022)
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Computer Science, Information Systems
Chaoyang Li et al.
Summary: This article introduces the application of blockchain technology in the health care service system. It proposes an efficient EMRs management model called OLOS, which uses on-chain ledger and off-chain storage. It also presents a secure keyword-searchable attribute-based encryption scheme based on lattice cryptography.
IEEE SYSTEMS JOURNAL
(2022)
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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)
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Biology
Zongda Wu et al.
Summary: This paper proposes an effective confidential management solution for electronic medical records on the cloud, using a trusted local server to ensure the confidentiality, accuracy, and efficiency of the records.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Biochemical Research Methods
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)
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Computer Science, Information Systems
Yi Zhuang et al.
Summary: This study proposes a new progressive distributed and parallel similarity retrieval scheme for computed tomography image sequences in mobile telemedicine networks. Experimental evaluation demonstrates that the proposed method is more progressive than existing techniques and significantly reduces response time.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2022)
Article
Computer Science, Artificial Intelligence
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
Computer Science, Hardware & Architecture
Lejun Zhang et al.
Summary: The study proposes a smart contract vulnerability detection tool MODNN, which is highly scalable and capable of parallel vulnerability detection to identify 12 types of vulnerabilities, including unknown types. Experimental results show that MODNN achieves a higher average F1 score compared to other standard machine learning classification models.
Article
Biology
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)
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Automation & Control Systems
Xiaoyu Cao et al.
Summary: This paper proposes a planning method for hydrogen-based networked microgrids, using a two-stage stochastic formulation and MICP recourse decisions to handle multiple uncertainties. Numerical studies show that this method outperforms existing methods in terms of economic viability and solution quality.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Information Systems
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
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Computer Science, Artificial Intelligence
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.
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Mathematical & Computational Biology
Yupeng Li et al.
Summary: This paper presents a prediction model (bCOWOA-KELM) for predicting intradialytic hypotension (IDH) during hemodialysis sessions. It utilizes blood routine test indices and incorporates an improvement variant (COWOA) that combines orthogonal learning mechanism and covariance matrix. The model outperforms other famous methods in comparison experiments and achieves a high accuracy of 92.41% in predicting IDH.
FRONTIERS IN NEUROINFORMATICS
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Computer Science, Artificial Intelligence
Bo Yang et al.
Summary: In dynamic minimally invasive surgery environments, 3D reconstruction of deformable soft-tissue surfaces with stereo endoscopic images is challenging. A self-supervised stereo reconstruction framework is proposed to estimate the disparity maps more accurately.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2022)
Article
Computer Science, Artificial Intelligence
Zhiwei Yang et al.
Summary: Named entity recognition (NER) is fundamental to information extraction and has attracted widespread attention in the field of natural language processing. Existing methods for NER often fail to integrate semantic and syntactic information and only consider partial features. In this study, a novel multilevel feature fusion model is proposed to capture features from various perspectives and enhance representation learning.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Dermatology
K. Clayton et al.
Summary: The study identified three unique transcriptomic programmes in keratinocytes, with implications for different skin inflammatory conditions and disease stages. Keratinocyte response during treatment was found to be therapy dependent, suggesting perturbation of a single axis of immune signal may not be sufficient to resolve keratinocyte immunophenotype abnormalities.
BRITISH JOURNAL OF DERMATOLOGY
(2021)
Article
Computer Science, Artificial Intelligence
Wei Zhou et al.
Summary: The SGLSCA is a new multi-core optimization algorithm that combines strategies from SSA, GWO, and LF to enhance exploration and avoid local optima. Experimental results show that SGLSCA outperforms other optimizers, demonstrating improvements in both convergence and solution optimality.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
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Computer Science, Information Systems
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)
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Computer Science, Artificial Intelligence
Shiming Song et al.
Summary: The Harris Hawks Optimization (HHO) algorithm mimics the cooperative behavior of Harris hawks and has become a popular optimizer in recent years. By incorporating Gaussian mutation and a dimension decision strategy from the cuckoo search method, the enhanced GCHHO algorithm shows superior performance compared to the original HHO and other established optimizers in terms of convergence speed and solution accuracy.
KNOWLEDGE-BASED SYSTEMS
(2021)
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Computer Science, Artificial Intelligence
Dong Zhao et al.
Summary: By enhancing the selection mechanism of the ACOR method and introducing random spare strategy and chaotic intensification strategy, the convergence speed and accuracy can be significantly improved, effectively avoiding local optima. Through a series of experiments, these improved methods demonstrate superior performance in problem-solving, and compared to other techniques, RCACO has a more reliable ability to step out of local optima.
KNOWLEDGE-BASED SYSTEMS
(2021)
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Radiology, Nuclear Medicine & Medical Imaging
Shuaiqi Liu et al.
Summary: In this study, a method to improve drug-target interactions through weighted fusion of multisource information is proposed. By selecting potential interacting drug-target pairs and revising the original data, the specificity, sensitivity, and accuracy are significantly improved.
CONTRAST MEDIA & MOLECULAR IMAGING
(2021)
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Computer Science, Artificial Intelligence
Jiaze Tu et al.
Summary: The study introduces an enhanced WOA method, EWOA, which combines a new communication mechanism and partial utilization of the BBO algorithm to improve the exploration ability, exploitation ability, and convergence speed of the algorithm.
KNOWLEDGE-BASED SYSTEMS
(2021)
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Multidisciplinary Sciences
Haidong Li et al.
Summary: The recovery process of COVID-19 patients remains unclear, with some experiencing ongoing respiratory issues. Xe-129 MRI analysis reveals higher ventilation defects and longer gas-blood exchange time in COVID-19 patients, indicating lung function impairment during recovery.
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Mathematics, Interdisciplinary Applications
Helong Yu et al.
Summary: An efficient intelligent fault diagnosis model was proposed based on an improved butterfly optimizer algorithm and kernel extreme learning machine model for identifying the rolling bearing condition. Experimental results showed that the proposed model achieved improved classification performance and higher stability in fault diagnosis, outperforming existing algorithms.
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Mathematics, Interdisciplinary Applications
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.
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Computer Science, Artificial Intelligence
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)
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Computer Science, Information Systems
Bin Cao et al.
Summary: An improved RFID reader anticollision model is proposed in this article, utilizing intelligent computing technologies and distributed parallel cooperative co-evolution particle swarm optimization to address the high-dimensional problem of dense deployment of large numbers of readers.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Review
Automation & Control Systems
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)
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Dermatology
Laura Maintz et al.
Summary: This study conducted a detailed analysis on severity-associated factors in patients with atopic dermatitis, revealing that specific features, gender, age, total serum immunoglobulin E levels, eosinophil values, age at onset, and lifestyle factors are related to disease severity.
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Dermatology
Jesper Gronlund Holm et al.
Summary: The study found that specific immunoinflammatory biomarkers in the serum, mainly of the Th2 pathway, are correlated with disease severity in patients with AD. Predictive models identified biomarkers associated with disease severity but this finding warrants further investigation.
Article
Computer Science, Artificial Intelligence
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)
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Computer Science, Artificial Intelligence
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)
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Bin Cao et al.
Summary: Researched diversified recommendation problems in the Internet of Vehicles and constructed a multi-objective recommendation model, considering not only recommendation precision but also recommendation novelty and coverage.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
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Bin Cao et al.
Summary: This paper proposes a many-objective optimization model for optimizing the deployment of drone-assisted cameras based on a 3D terrain environment. An improved algorithm outperforms state-of-the-art algorithms in the experimental results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Editorial Material
Allergy
Jonathan M. Spergel
ANNALS OF ALLERGY ASTHMA & IMMUNOLOGY
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Biology
Shubiao Wu et al.
Summary: This study proposes an improved optimization technique based on the sine cosine algorithm for enhancing the performance of the fuzzy K-nearest neighbors model. By verifying its effectiveness on benchmark test functions and medical datasets, the model shows competitive results.
COMPUTERS IN BIOLOGY AND MEDICINE
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Biology
Lei Liu et al.
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COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
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Computer Science, Artificial Intelligence
ChenYang Li et al.
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EXPERT SYSTEMS WITH APPLICATIONS
(2021)
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Computer Science, Artificial Intelligence
Sheng-Hao Wu et al.
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IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2021)
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Bin Cao et al.
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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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Quan Zhou et al.
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IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
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Biochemical Research Methods
Lei Li et al.
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PLOS COMPUTATIONAL BIOLOGY
(2021)
Proceedings Paper
Acoustics
Xiuting Li et al.
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Engineering, Multidisciplinary
Jiaze Tu et al.
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Essam H. Houssein et al.
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Computer Science, Information Systems
Hua Ye et al.
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