AI-Driven predicting and optimizing lignocellulosic sisal fiber-reinforced lightweight foamed concrete: A machine learning and metaheuristic approach for sustainable construction by Mohamed Sahraoui, Aissa Laouissi, Yacine Karmi, Abderazek Hammoudi, Mostefa Hani, Yazid Chetbani, Ahmed Belaadi, Ibrahim M.H. Alshaikh, Djamel Ghernaout

“…A Deep Neural Network (DNN) was developed, optimized using the Grey Wolf Optimizer (GWO) and the Slime Mould Algorithm (SMA), to predict and optimize material properties. …”
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QUANTUM INFORMATICS: OVERVIEW OF THE MAIN ACHIEVEMENTS by A. Sigov, E. Andrianova, D. Zhukov, S. Zykov, I. E. Tarasov

“…In the field of artificial quantum intelligence, attention is paid, first of all, to the “search” for a model of a quantum neural network that is optimal from the point of view of using all the advantages presented by quantum computing and neural networks, as well as machine learning algorithms. …”
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Exploration of Machine Learning Models for Prediction of Gene Electrotransfer Treatment Outcomes by Alex Otten, Michael Francis, Anna Bulysheva

“…These experiments are time-consuming and resource-intensive, requiring large numbers of animals for in vivo optimization. Advances in machine learning (ML) and computing power, data analysis, and model generation using ML techniques, such as neural networks, enable predictive modeling for GET. …”
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A Deep Learning-Driven Black-Box Benchmark Generation Method via Exploratory Landscape Analysis by Haoming Liang, Fuqing Zhao, Tianpeng Xu, Jianlin Zhang

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Deep Learning-Based MPPT Approach to Enhance CubeSat Power Generation by Abdulazez Abagero, Yoseph Abebe, Abera Tullu, Young Seok Jung, Sunghun Jung

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A New High-Performance Photovoltaic Emulator Suitable for Simulating and Validating Maximum Power Point Tracking Controllers by Ambe Harrison, Njimboh Henry Alombah

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UAV Path Optimization for WSN in Smart Agriculture by Katia Karam, Ali Mansour, Mohamad Khaldi, Benoit Clement, Mohammad Ammad-Uddin

“…Simulation results demonstrate that OptiFly significantly reduces both travel distance and energy consumption compared to unoptimized and optimized approaches. Additionally, the proposed algorithm proves to have low computational complexity in various scenarios. …”
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Fine-tuning neural network quantum states by Riccardo Rende, Sebastian Goldt, Federico Becca, Luciano Loris Viteritti

“…Recent progress in the design and optimization of neural-network quantum states (NQSs) has made them an effective method to investigate ground-state properties of quantum many-body systems. …”
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Segmentation of the iliac crest from CT-data for virtual surgical planning of facial reconstruction surgery using deep learning by Stefan Raith, Tobias Pankert, Jônatas de Souza Nascimento, Srikrishna Jaganathan, Florian Peters, Mathias Wien, Frank Hölzle, Ali Modabber

“…Thus, it has the potential to serve as an essential starting point in a digitized planning process and to provide data for subsequent surgical planning. …”
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K-Nearest Neighbors hybrid method for maximum power point tracking under partial shading for photovoltaic power systems by Djamel Guessoum, Maen Takrouri, Mohammad Rabih, Maissa Farhat, Sufian A. Badawi

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An integrative network approach for longitudinal stratification in Parkinson's disease. by Barry Ryan, Riccardo Marioni, T Ian Simpson

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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…This paper summarizes the fruit picking recognition algorithm and puts forward the future development trend of the algorithm. With model optimization and lightweight as the starting point, the efficient network architecture or model compression technology is adopted to reduce computational complexity and model size, improve model processing speed and adapt to mobile automatic picking equipment. …”
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Robust Low-Overlap Point Cloud Registration via Displacement-Corrected Geometric Consistency for Enhanced 3D Sensing by Xin Wang, Qingguang Li

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Methodical Principles for Determination of Optimum Breaking Places of Distributive Electrical Networks with Due Account of Supply Network of 110 kV and Higher by M. I. Fursanov, A. A. Zalatoi, V. V. Makarevich, A. N. Mukha

“…A specified model and algorithm for optimization of slit points in a distributive 10 (6) kV electrical network with due account of supply network of 110 kV and higher have been developed in the paper. …”
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Node Classification Based on Kolmogorov-Arnold Networks by YUAN Lining, FENG Wengang, LIU Zhao

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Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning by Yican Yang, Nuwan K. Wijewardane, Tyler J. Slonecki, Phillip A. Wadl, Sharon A. Andreason, Jingdao Chen, Lorin Harvey

“…In this study, 3D point cloud data derived from multispectral laser scanning of healthy and SPLCV-infected sweetpotato plants were modeled with the PointNet++ neural network to discriminate healthy versus diseased plants. …”
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Real-time temperature prediction of large-scale lithium battery module driven by data based on few measurement points by Jiajie HAN, Qingyang YUAN, Yu LI, Bo ZHANG, Ke XUE, Tian LAN

“…By minimizing the need for extensive sensor networks and reducing computational costs, it provides a resource-efficient solution for accurate temperature monitoring and control. …”
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Simulation Model to Optimize Turnover Schedule for Train Locomotives by P. A. Kozlov, S. P. Vakulenko

“…The model can be used as an optimizing unit in the Locomotive Computer-Assisted Management System - in sphere of day-to-day management and for calculating the optimum turnover modes. …”
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Optimization of IoT-Based Motion Intelligence Monitoring System by Jian Qiao, Zhendong Zhang, Enqing Chen

“…The framework contains components such as active acquisition nodes, wireless access points, data processing servers, and terminals. In terms of algorithm optimization, research related to active pattern recognition and periodic calculation methods is conducted. …”
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Pasithea-1: An Energy-Efficient Sequential Reconfigurable Array With CPU-Like Programmability by Tobias Kaiser, Esther Gottschalk, Kai Biethahn, Friedel Gerfers

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