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Article
Mathematics, Applied
Tie-Hong Zhao et al.
Summary: Mixed convection is a heat transport mechanism in thermodynamic systems that involves the motion of fluid particles influenced by both gravity and external forces. This study focuses on the mixed convective flow of Ree-Eyring fluid between two rotating disks, considering the effects of porosity and velocity slip. The energy equation is modeled with various factors such as heat generation/absorption, dissipation, radiative heat flux, and Joule heating. The results obtained are compared with previous studies, showing good agreement. Interesting physical phenomena such as skin friction and heat transfer are also numerically calculated.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Mathematics, Applied
Yu-Ming Chu et al.
Summary: This study examines the impact of unsteady viscous flow in a squeezing channel and investigates the flow and heat transfer mechanism of different shapes of silver-gold hybrid nanofluid particles in the base fluid. The numerical solution and parameter analysis reveal that the Yamada-Ota model of the Hybrid nanofluid has a higher temperature and velocity profile, and the performance of hybrid nanoparticles is superior to that of common nanofluids.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Mianjie Li et al.
Summary: Deep Neural Networks (DNNs) have shown rapid development in data privacy protection applications, but they require high-speed and high-memory computers for computation. Cloud computing is increasingly used for training and executing DNNs. The proposed PNC-RFD in this paper utilizes deep learning in the cloud computing for data privacy protection and demonstrates its superiority through performance analysis.
Article
Computer Science, Artificial Intelligence
Shimin Xiong et al.
Summary: In this paper, we propose DCGNN, a novel single-stage 3D object detection network based on density clustering and graph neural networks. DCGNN utilizes density clustering ball query to partition the point cloud space and exploits local and global relationships by graph neural networks. DCGNN achieved better balance between detection performance and inference time compared to state-of-the-art approaches on the KITTI dataset.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
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
Xu Zhang et al.
Summary: A novel self-training maximum classifier discrepancy method is proposed for EEG classification. This method detects samples from a new subject by maximizing discrepancies between two classifiers' outputs and further reduces the domain gap using self-training with unlabelled test data. Furthermore, a 3D Cube incorporating spatial and frequency information of the EEG data is constructed for input features of a CNN. Experimental evaluations demonstrate the effectiveness of this approach in dealing with domain transfer problems and achieving better performance.
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY
(2023)
Article
Engineering, Industrial
Yini Zheng et al.
Summary: This paper explores the impact of judgement bias on demand forecast accuracy and profit, and identifies the driving force behind decision-makers' biases. The study finds that both accuracy-maximising forecasts and profit-maximising forecasts are biased, indicating that news vendors are motivated to be biased in order to achieve more accurate forecasts or higher profits. Moreover, the decision error under accuracy-maximising forecasts can be lower than that under unbiased demand forecasts, suggesting that biased accuracy-maximising forecasts perform well in both forecasts and decisions. The paper also extends the analysis to consider correlated and trended demand processes, demonstrating the robustness of the positive impact of judgement bias. Finally, the paper proposes a method to solve the pure data-driven newsvendor problem and evaluates its performance using empirical evidence.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(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
Engineering, Biomedical
Amir Hossein Barshooi et al.
Summary: This paper presents a novel method for improving the screening and classification of COVID-19 patients based on chest X-Ray (CXR) images. By combining traditional data augmentation techniques with GANs and applying different filter banks, the method aims to eliminate the dependency on large datasets and extract deeper features. The proposed approach achieved high accuracy in detecting COVID-19, surpassing existing techniques with an accuracy of 98.5% in two class classification.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Mathematics, Interdisciplinary Applications
Fuzhang Wang et al.
Summary: This paper presents a numerical solution method for nonlinear time-fractional Fisher equations using a local meshless method combined with explicit difference scheme. Radial basis functions are used to compute space derivatives, and the Caputo derivative scheme is used for time-fractional integration. The accuracy is evaluated using the maximum error norm, and the method is validated with non-rectangular domains.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Mathematics, Interdisciplinary Applications
Saima Rashid et al.
Summary: This study explores the applications of discrete fractional calculus in inequalities, proposing novel versions of reverse Minkowski and related Holder-type inequalities, as well as certain variations for discrete AB-fractional operators with (h) over bar -discrete generalized Mittag-Leffler kernels. The discretization proposed is a new form of existing operators that can be used to efficiently describe dynamics in short time domains by leveraging intriguing features of chaotic systems.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Mathematics, Applied
Kulandhivel Karthikeyan et al.
Summary: This paper focuses on the existence results of psi-Hilfer fractional impulsive integro-differential equations with almost sectorial operators, proving mild solutions using the Schauder fixed-point theorem and measure of noncompactness. Two cases of operators associated semigroup are discussed, along with an abstract application via Hilfer fractional derivative system to verify the results.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2022)
Article
Computer Science, Artificial Intelligence
Yan Liu et al.
Summary: In this paper, an improved feature-point pair purification algorithm based on SIFT and RANSAC is proposed to address the issue of limited imaging range in endoscopy. Experimental results validate the effectiveness of the proposed algorithm.
FRONTIERS IN NEUROROBOTICS
(2022)
Article
Engineering, Multidisciplinary
Kranthi Kumar Lella et al.
Summary: The classification of respiratory sounds is crucial for diagnosing COVID-19, researchers have implemented a multichanneled Deep Convolutional Neural Network for analyzing respiratory sounds, improving system performance and result accuracy.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Mathematics, Applied
Elmira Ashpazzadeh et al.
Summary: In this research, we focus on the numerical solution of the singular Abel's equation of the second kind. A challenging task due to its nonlinearity and singularity. To address this issue, an efficient algorithm based on the Galerkin method using biorthogonal Hermite cubic spline multiwavelets (BHCSMWs) is proposed. The proposed algorithm reduces the CPU time and computer memory usage by taking advantage of the sparse multiscale representations of functions and operators provided by these wavelets. The convergence analysis of the method is also discussed.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Multidisciplinary Sciences
Kai Jin et al.
Summary: In this study, a color fundus image vessel segmentation dataset was collected, which is believed to be beneficial for the further development of retinal vessel segmentation.
Article
Computer Science, Information Systems
Xiaomei Qin et al.
Summary: This paper analyzes the causes of defocusing in a video microscope and proposes a new multi-focus image fusion method based on sparse representation (DWT-SR). By utilizing GPU parallel operation, the algorithm's running time is reduced, resulting in higher image contrast and more detailed representation.
Article
Chemistry, Multidisciplinary
Yuxi Ban et al.
Summary: This study investigates a feature-based 2D/3D medical image registration algorithm, which uses a two-dimensional weighted spatial histogram of gradient directions to extract statistical features. The algorithm overcomes limitations and improves the accuracy and efficiency of image registration.
APPLIED SCIENCES-BASEL
(2022)
Review
Computer Science, Information Systems
Haoran Liu et al.
Summary: This paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications in image processing. The PCNN is a neurology-inspired neural network model that aims to imitate the information analysis process of the biological cortex. Research shows that PCNN-derived models are developing rapidly and are widely used in image processing.
Article
Computer Science, Artificial Intelligence
Kun Hu et al.
Summary: A modified adaptive butterfly optimization algorithm is proposed to address early search blindness and poor adaptability of sensory modality. Experimental results show competitive performance in accuracy and stability compared with other algorithms, particularly in predicting the design of pipe belt conveyors.
Article
Environmental Sciences
Muhammad Irfan et al.
Summary: This study developed a hybrid deep neural network (HDNNs) using CT and X-ray imaging to predict the onset risk of disease in patients with COVID-19, achieving a high classification accuracy.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Engineering, Biomedical
Hu Tianqing et al.
Summary: This paper introduces a novel two-phase approach for real-time detection of COVID-19 using chest X-ray images, combining deep learning with extreme learning machines and improving results with the Chimp Optimization Algorithm. The proposed approach outperforms other comparative benchmarks in terms of accuracy and efficiency on two datasets, with low relative errors.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Environmental Sciences
Haifeng Tian et al.
Summary: This study successfully mapped summer maize planting areas in China using composited time-series Sentinel-1A imagery. The VH-polarized images were found to be more sensitive to the growth cycle of summer maize, with an overall accuracy of 96.55% and a kappa coefficient of 0.93.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2021)
Article
Mathematics, Applied
Tie-Hong Zhao et al.
Summary: In the article, it is proven that the double inequalities hold under specific conditions.
JOURNAL OF MATHEMATICAL INEQUALITIES
(2021)
Article
Mathematics, Interdisciplinary Applications
Yu-Ming Chu et al.
Summary: This report discusses the flow of Powell-Eyring fluid mixed with hybrid nanoparticles over a melting parabolic stretched surface. Flow rheology expressions have been derived under boundary layer theory and transformed into associated ODEs using similarity transformation. The applicability and effectiveness of FEM in solving highly nonlinear problems is demonstrated, showing that the methodology can be easily implemented in MAPLE 18.0.
FRACTAL AND FRACTIONAL
(2021)
Review
Engineering, Biomedical
Kranthi Kumar Lella et al.
Summary: COVID-19 was declared a global pandemic by WHO in March 2020, originating in China in December 2019. The main symptoms include fever, cough, and breathing difficulties. Modern technologies like digital stethoscopes are being used for diagnosing respiratory diseases, while research focuses on analyzing respiratory sound parameters for COVID-19 diagnosis.
AIMS BIOENGINEERING
(2021)
Article
Health Care Sciences & Services
Kranthi Kumar Lella et al.
Summary: By using a one-dimensional CNN model and an augmentation-based mechanism, the preprocessing performance of the COVID-19 sounds dataset was improved, leading to an automated diagnosis of COVID-19 disease.
AIMS PUBLIC HEALTH
(2021)
Article
Mathematics, Applied
Tie-Hong Zhao et al.
Summary: The article provides a sufficient condition for a function to be strictly concave, generalizing recent results. New bounds are also presented for the function.
JOURNAL OF MATHEMATICAL INEQUALITIES
(2021)
Article
Health Care Sciences & Services
Yassir Edrees Almalki et al.
Summary: The COVID-19 pandemic has posed challenges in rapid detection of infected individuals, with current techniques such as body-temperature measurement and nasal swab analysis being complex and resource-intensive. The lack of test kits and patient consent for research data further hinder progress in developing non-intrusive AI technologies for Coronavirus detection.
Article
Acoustics
M. Khishe et al.
Article
Computer Science, Artificial Intelligence
M. Khishe et al.
EXPERT SYSTEMS WITH APPLICATIONS
(2020)
Article
Engineering, Electrical & Electronic
Liang Liu et al.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2020)
Article
Mathematics
Hong-Hu Chu et al.
MATHEMATICA SLOVACA
(2020)
Article
Computer Science, Artificial Intelligence
Shervin Minaee et al.
MEDICAL IMAGE ANALYSIS
(2020)
Article
Automation & Control Systems
Yanan Sun et al.
IEEE TRANSACTIONS ON CYBERNETICS
(2020)
Article
Mathematics, Applied
Tie-Hong Zhao et al.
Article
Mathematics, Applied
Miao-Kun Wang et al.
JOURNAL OF MATHEMATICAL INEQUALITIES
(2020)
Article
Engineering, Civil
John J. Hall et al.
IEEE JOURNAL OF OCEANIC ENGINEERING
(2019)
Article
Optics
Woo-Young Lee et al.
Article
Mathematics, Applied
Tserendorj Batbold et al.
JOURNAL OF INEQUALITIES AND APPLICATIONS
(2018)
Article
Computer Science, Artificial Intelligence
Seyedali Mirjalili
KNOWLEDGE-BASED SYSTEMS
(2016)
Proceedings Paper
Computer Science, Artificial Intelligence
Gustavo Rosa et al.
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2015
(2015)
