Electric vehicle charging load prediction method based on multi-objective modal decomposition and NAHL neural network by GUO Xinzhe, WANG Yeqin, WANG Chao, WU Mingjiang, YANG Yan, ZHANG Chu

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Fixed time convergence approach for multiplayer iterated dilemmas with continuous action by Syed Muhammad Amrr, Mohamed Zaery, S.M. Suhail Hussain, Mohammad A. Abido

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On the Model Checking Problem for Some Extension of CTL* by Anton Romanovich Gnatenko, Vladimir Anatolyevich Zakharov

“…For the logics mentioned above, we have developed algorithms for the verification of finite transducers. …”
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MEASUREMENT OF THE AMPLITUDE OF PERIODIC SIGNALS USING THE FIBONACCI METHOD by V. S. Petrushak

“…Using the Fibonacci sequence of the pentanacci sequence in the basis of the work of the Fibonacci register allowed obtaining odd code values at its output.Based on the obtained research results, a high-resolution converter of the amplitude of high-frequency periodic signals can be developed into a binary code with high speed for tasks: industrial tomography, radar and radio navigation.…”
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Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME by Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin

“…The clinical community has a lot of diabetes diagnostic data. Machine learning algorithms may simplify finding hidden patterns, retrieving data from databases, and predicting outcomes. …”
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Evaluating Deep Learning Architectures for Breast Tumor Classification and Ultrasound Image Detection Using Transfer Learning by Christopher Kormpos, Fotios Zantalis, Stylianos Katsoulis, Grigorios Koulouras

“…These insights are further anticipated to advance future algorithm development and broaden the potential of the research applicability across diverse fields.…”
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Performance of the Direct Sequence Spread Spectrum Underwater Acoustic Communication System with Differential Detection in Strong Multipath Propagation Conditions by Jan H. SCHMIDT, Iwona KOCHAŃSKA, Aleksander M. SCHMIDT

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The coverage method of unmanned aerial vehicle mounted base station sensor network based on relative distance by Taifei Zhao, Hua Wang, Qianwen Ma

“…The simulation results show that the coverage of the proposed algorithm is 22.4% higher than that of random deployment, and it is 9.9%, 4.7% and 2.1% higher than similar virtual force-oriented node, circular binary segmentation and hybrid local virtual force algorithms.…”
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Area-Time-Efficient Secure Comb Scalar Multiplication Architecture Based on Recoding by Zhantao Zhang, Weijiang Wang, Jingqi Zhang, Xiang He, Mingzhi Ma, Shiwei Ren, Hua Dang

“…Based on this background information, we propose our own research objectives. In this paper, a low-latency and low-area ECSM architecture based on the comb algorithm is proposed. …”
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Optimization of Z-fuzzy soft $\beta$-covering based fuzzy rough sets and their application to multiple attribute group decision making by S. Pavithra, A. Manimaran

“… Fuzzy sets play a crucial role in representing real-world complexities where precise binary logic falls short. Rough sets are closely related to fuzzy sets, and their combined use provides a powerful framework for handling uncertain and incomplete information.The combination of rough sets and fuzzy sets is an intriguing area of research that bridges the gap between crisp and uncertain information. …”
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Activity-Based Scene Decomposition for Topology Inference of Video Surveillance Network by Hongguang Zhang, Jianzhu Cui, Peng Wang, Shibao Zheng

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Mental Fatigue Has Great Impact on the Fractal Dimension of Brain Functional Network by Gang Li, Yanting Xu, Yonghua Jiang, Weidong Jiao, Wanxiu Xu, Jianhua Zhang

“…A modified greedy colouring algorithm was proposed for fractal dimension calculation in both binary and weighted brain functional networks. …”
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A Complementary Approach for Securing and Anti-Counterfeiting of Valuable Documents Based on Encryption of Computer-Generated Hologram by Zakaria E. Ahmed, Rania M. Abdelazeem, Yasser A. Attia, Tawfik A. Khattab, Claas Falldorf, Ralf B. Bergmann, Mostafa Agour

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BIMLP Model Based on Deep Learning for Predicting Electrical Load Demand by Somayeh Talebzadeh, Reza Radfar, Abbas Toloei Ashlaghi

“…Furthermore, the proposed system, BIMLP (Bagging-Improved MLP), is designed to iteratively improve its parameters using a binary search algorithm and reduce the learning error using bagging, a technique for ensemble learning. …”
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Retracted: Active Contour Image Segmentation Method for Training Talents of Computer Graphics and Image Processing Technology by Xinghuo Ye, Qianyi Wang

“…The experimental results of this article show that the active contour image segmentation algorithm can not only ensure the image segmentation algorithm but also reduce the number of iterations and shorten the image segmentation time. …”
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Application of Hilbert Huang Transform Method Based on CEEMD in Forest Boundary Layer Turbulence by Yanqi WANG, Yu ZHANG, Youqi SU, Qian ZHANG, min YE

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Evaluating textural descriptors for automated image classification of stony reefs in turbid temperate waters by Saulė Medelytė, Yuri Rzhanov, Andrius Šiaulys, Kim Lowell

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Vision-Based Measurement for Catenary Transverse Vibrations in the Winding Mine Hoist by Xiqiang Ma, Fang Yang, Xinke Yin, Yujun Xue

“…Secondly, the region of interest (ROI) was selected, and the ROI was binarized based on the wavelet edge extraction algorithm. Thirdly, in the ROI, the centroid position of the rope was obtained by calculating the matrix, which was described by the binary, and later, the transverse vibration signal of the catenary was obtained. …”
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Enabling Power Systems With SQKD in Presence of Remote Nodes by Mariam Gado, Muhammad Ismail

“…Due to the complexity of the allocation problem, this paper develops algorithms based on Density-Based Spatial Clustering of Applications with Noise algorithm (DBSCAN), Dijksra’s algorithm and genetic algorithms. …”
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Maximum Butterfly Generators Search in Bipartite Networks by Jianrong Huang, Guangyao Pang, Fei Hao

“…Furthermore, an effective MBGS search algorithm is proposed. Extensive experiments on real-world networks with ground-truth communities and interesting case studies validated the effectiveness and efficiency of our MBGS model and algorithm.…”
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