An explainable and federated deep learning framework for skin cancer diagnosis. by Shuvo Biswas, Sajeeb Saha, Muhammad Shahin Uddin, Rafid Mostafiz

“…To ensure model interpretability, an XAI-based algorithm named Local Interpretable Model-Agnostic Explanations (LIME) was used to explain the predictions of the proposed framework. …”
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IASB Framework: Construction of Data Asset Accounting System Based on PO-BP Model by Haixia Guo

“…The PO algorithm optimizes the weights and biases of the BP neural network, improving its global search and local development capabilities. …”
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Naked-eye 3D visualization of cultural relics based on integrated imaging by Lu Wang, Yu Wang, Quanyang Liu, Qi Wang

“…Building up on traditional InIm, an Element image array (EIA) generation algorithm based on local depth template matching is designed by using spatial geometry relation. …”
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Prediction of Students’ Performance Based on the Hybrid IDA-SVR Model by Huan Xu

“…The results show that the IDA algorithm can effectively avoid the local optima and the blindness search and can definitely improve the speed of convergence to the optimal solution.…”
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Reliability Prediction for Computer Numerical Control Machine Servo Systems Based on an IPSO-Based RBF Neural Network by Zheng Jiang, GuangJian Wang, ZuGuang Huang, Ye He, RuiJuan Xue

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Predicting Young’s Modulus of Aggregated Carbon Nanotube Reinforced Polymer by Roham Rafiee, Vahid Firouzbakht

“…The main goal of this research is to develop a multi-scale modeling approach to extract mechanical properties of CNT based nanocomposites emphasizing on meso-scale parameters. …”
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Adaptive Cooperative Quality Weight Spectrum Sensing for Mitigating Byzantine Attacks in Cognitive Radio by Kanabadee Srisomboon, Luepol Pipanmekaporn, Akara Prayote, Wilaiporn Lee

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Road Perception for Autonomous Driving: Pothole Detection in Complex Environments Based on Improved YOLOv8 by Siyuan Kong, Qiao Meng, Xin Li, Zhijie Wang, Xin Liu, Bingyu Li

“…By cleverly blending the strengths of Convolutional Neural Network (CNN) and the Transformer architecture, the algorithm accomplishes multi-scale feature extraction and fusion for both local and global aspects of road potholes. …”
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Frequency Regulation of Interconnected Power System Using Black Widow Optimization by Preeti Dahiya, Akshay Kumar Saha

“…A frequency regulation of interconnected power system comprising thermal reheat system and photovoltaic panel systems is disclosed in this research article with Proportional Integral Derivative (PID) controller optimized using Black Widow Optimization Algorithm (BWOA) based on distinct feature of cannibalism of black widow spiders. …”
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Optimization Techniques on Quantum and Classical Systems: A Comprehensive Comparative Study by Shaik Hussain, Rajitha Morampudi, Priyamvada K., Bhargavi R. Naveena

“…This study compares Particle Swarm Optimization (PSO), Moth Flame Optimization (MFO), and Genetic Algorithm (GA) on three platforms : a local computer, a local computer with quantum integration, and an IBM quantum machine. …”
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Study on Trajectory Optimization for a Flexible Parallel Robot in Tomato Packaging by Tianci Guo, Jiangbo Li, Yizhi Zhang, Letian Cai, Qicheng Li

“…Compared to traditional PSO, the proposed algorithm exhibits better global convergence and is less likely to fall into local optima, thereby ensuring a smoother and more efficient path in the robot-grabbing tomato process and providing technical support for automated tomato packaging.…”
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Unmanned Surface Vessel Cluster Path Planning Based on Deep Reinforcement Learning by Manjiang YU, Jiawei HE, Bowen XING

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Nonlinear Decoupling Study of Six-Axis Acceleration Sensor Based on Improved BP Neural Network by Jialin Zhang, Chunzhan Yu, Chengxin Du, Zhe Hao, Zhibo Sun

“…Aiming at the problem of nonlinear coupling error in the measurement of parallel six-axis accelerometers, this study improves the back propagation (BP) neural network and proposes an improved BP neural network decoupling model that introduces the gradient descent with momentum and the Levenberg–Marquardt (LM) algorithm. By introducing the momentum factor in the model updating stage, the LM algorithm is used in the local learning stage to improve the convergence speed and shock resistance of the network, and to enhance the accuracy of the algorithm. …”
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High-precision positioning of robotic systems on programme trajectories using satellite navigation measurements by S. V. Sokolov, A. I. Okhotnikov, D. V. Marshakov, I. V. Reshetnikova

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Swin-transformer for weak feature matching by Yuan Guo, Wenpeng Li, Ping Zhai

“…We also introduce a matching optimization algorithm that calculates the spatial expected coordinates of local two-dimensional heat maps of correspondences to obtain the final sub-pixel level matches. …”
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DEFINITION FOR LITHOGENICITY INDEX IN PATIENTS WITH RECURRENT AND RESIDUAL CHOLEDOCHOLITHIASIS BY INTEGRATED ASSESSMENT OF DYSCHOLIA INTENSITY by M. I. Bykov, V. A. Porhanov, I. M. Bykov

“…Besides, it has been shown that in patients with a recurrence of mechanical jaundice (in terms from 2 to 7 months) integrated indicator of lithogenicity index was very high at primary assessment (16.27 U). The possibility to research metabolic disturbances expression for various diseases of a biliopancreatoduodenal area at the local level on the basis of an integrated lithogenicity index indicator allowed to optimize an algorithm for the choice of the biliary tract decompression referred on early endoprosthetic incrustation and also to provide adequate techniques for patients management postoperatively and prove the necessity of performing the certain treatment referred to prophylaxis of the remote complications of endobiliar stenting.…”
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DEFINITION FOR LITHOGENICITY INDEX IN PATIENTS WITH RECURRENT AND RESIDUAL CHOLEDOCHOLITHIASIS BY INTEGRATED ASSESSMENT OF DYSCHOLIA INTENSITY by M. I. Bykov, V. A. Porhanov, I. M. Bykov

“…Besides, it has been shown that in patients with a recurrence of mechanical jaundice (in terms from 2 to 7 months) integrated indicator of lithogenicity index was very high at primary assessment (16.27 U). The possibility to research metabolic disturbances expression for various diseases of a biliopancreatoduodenal area at the local level on the basis of an integrated lithogenicity index indicator allowed to optimize an algorithm for the choice of the biliary tract decompression referred on early endoprosthetic incrustation and also to provide adequate techniques for patients management postoperatively and prove the necessity of performing the certain treatment referred to prophylaxis of the remote complications of endobiliar stenting.…”
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Security Management and Traceability of Substation Software Versions by Jin LI, Ximing ZHANG, Rong HU, Ai XU, Huafeng ZHOU, Rongfu QIU

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deep-Sep: a deep learning-based method for fast and accurate prediction of selenoprotein genes in bacteria by Yao Xiao, Yan Zhang

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Tanner crab at southwestern Kamchatka: fishing, stock condition and specifics of the assessment by Р. Yu. Ivanov

“…Results of the current stage of research on tanner crab at the southwestern coast of Kamchatka, harvested in the Kamchatka-Kuril fishing subzone are presented. …”
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