Machine learning-based predictive analysis of energy efficiency factors necessary for the HIFU treatment of adenomyosis by Ziyan Liu, Ziyi Liu, Yuan Wang, Xiyao Wan, Xiaohua Huang

“…Predictive features were selected using minimum redundancy maximum relevance (MRMR) and least absolute shrinkage and selection operator (LASSO) methods, and two joint—based on decision tree and random forest algorithms—models were developed for EEF prediction.ResultsThe decision tree model achieved a mean absolute error (MAE) of 8.095 on the test set, while the random forest model exhibited an MAE of 8.231. …”
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Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning by Qingli Liu, Yongjie Ma

“…The simulation results show that the system spectrum efficiency is improved by 19.1% on average compared with the centralized DDPG, MADDPG, MAPPO and FL-DuelingDQN algorithms in the Vehicle Networking scenario, while the transmission success rate of the V2V link is improved by 9.3% on average, and the total capacity of the V2I link is increased by 16.1% on average.…”
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Behavioral Economics and Online Donation Behavior on TikTok by Rukiah Rukiah, Ahmad Salman Farid

“…The role of influencers, algorithmic exposure, and real-time donation tracking fosters a community-driven donation culture that encourages both impulse and sustained giving. …”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

“…Results from our study will aid researchers and industry practitioners in making decisions on the best deep-learning model to use while detecting SCD.…”
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Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training by Hanen Issaoui, Asma Eladel, Ahmed Zouinkhi, Mourad Zaied, Lazhar Khriji, Sarvar Hussain Nengroo

“…Machine learning algorithms based on deep neural networks have been widely used in many fields especially in computer vision, with impressive results. …”
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Model Based Control System Design Using SysML, Simulink, and Computer Algebra System by Takashi Sakairi, Eldad Palachi, Chaim Cohen, Yoichi Hatsutori, Junya Shimizu, Hisashi Miyashita

“…The integration with Simulink enables users to perform systems engineering process in a SysML model, while designing continuous control algorithms and plant behavior in Simulink, and to validate the behavior by simulating the overall composition in Simulink. …”
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The Development and Application of Multi-Cell Elliptical Superconducting Cavity Pre-Tuning Equipment by Ahong Li, Lin Meng, Huachang Liu, Yao Yang, Qiang Chen, Bo Li, Xiaolei Wu, Peihua Qu, Mengxu Fan, Wenzhong Zhou, Cong Zhang

“…This platform integrates three main components: real-time electric field measurements, data analysis based on tuning algorithms, and automated mechanical adjustment systems. …”
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Prediction of canopy mean traits in herbaceous plants by the UAV multispectral data: The quest for a better leaf-to-canopy upscaling method by Yuanqi Shan, Yunlong Yao, Lei Wang, Zhihui Wang, Huaihu Yi, Yi Fu, Weineng Li, Xuguang Zhang, Wenji Wang, Zhongwei Jing

“…These findings contribute to advancing the prediction accuracy of plant functional traits through remote sensing techniques, while future studies may explore the integration of deep learning methods.…”
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High-efficiency sparse convolution operator for event-based cameras by Sen Zhang, Fusheng Zha, Fusheng Zha, Xiangji Wang, Mantian Li, Wei Guo, Pengfei Wang, Xiaolin Li, Lining Sun

“…However, despite their inherent sparsity, most existing visual processing algorithms are optimized for conventional standard cameras and dense images captured from them, resulting in computational redundancy and high latency when applied to event-based cameras. …”
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Embedded Vision System for Thermal Face Detection Using Deep Learning by Isidro Robledo-Vega, Scarllet Osuna-Tostado, Abraham Efraím Rodríguez-Mata, Carmen Leticia García-Mata, Pedro Rafael Acosta-Cano, Rogelio Enrique Baray-Arana

“…Face detection technology is essential for surveillance and security projects; however, algorithms designed to detect faces in color images often struggle in poor lighting conditions. …”
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Accelerating Ray Tracing-Based Wireless Channels Generation for Real-Time Network Digital Twins by Claudio Modesto, Lucas Mozart, Pedro Batista, Andre Cavalcante, Aldebaro Klautau

“…These methods enable using RT in applications that use a detailed and photorealistic 3D scenario while generating consistent wireless channels over time. …”
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Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

“…This facilitates applying various machine learning algorithms, especially the soft clustering algorithms Fuzzy C-Means clustering (FCM) and Gaussian Mixture Models (GMM), to classify spectra into distinct colourant groups, identifying complex mixtures and areas of degradation. …”
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Copy number variation in familial Parkinson disease. by Nathan Pankratz, Alexandra Dumitriu, Kurt N Hetrick, Mei Sun, Jeanne C Latourelle, Jemma B Wilk, Cheryl Halter, Kimberly F Doheny, James F Gusella, William C Nichols, Richard H Myers, Tatiana Foroud, Anita L DeStefano, PSG-PROGENI and GenePD Investigators, Coordinators and Molecular Genetic Laboratories

“…However, there was consistent evidence with both algorithms for two novel genes, USP32 and DOCK5 (empirical, genome-wide p-values<0.001). …”
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Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers by Anupam Yadav, Rifat Hussain, Madhu Shukla, Jayaprakash B, Rishiv Kalia, S. Prince Mary, Chou-Yi Hsu, Manoj Kumar Mishra, Kashif Saleem, Mohammed El-Meligy

“…Meanwhile, optimizing DNNs architectures remains a challenge, as training these models is an NP-hard problem. Meta-heuristic algorithms offer an alternative to traditional gradient-based optimizers for improving DNNs performance. …”
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Analysis and quality control of weighing lysimeter water storage data by Steven R. Evett, Paul D. Colaizzi, Gary W. Marek, Karen S. Copeland, Brice B. Ruthardt

“…A tool was developed to analyze 5-minute weighing lysimeter apparent relative water storage data and reduce it to values of the water balance components, including evapotranspiration (ET), dew and frost accumulation, precipitation, irrigation, and drainage while applying quality control measures. Algorithms automatically identify precipitation, and dew and frost accumulations in the 5-minute data, and place flags appropriately (“P” or “DW”) in a column that is referenced by formulae that separately calculate values for these. …”
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An Intelligent Self-Validated Sensor System Using Neural Network Technologies and Fuzzy Logic Under Operating Implementation Conditions by Serhii Vladov, Victoria Vysotska, Valerii Sokurenko, Oleksandr Muzychuk, Lyubomyr Chyrun

“…This article presents an intelligent self-validated sensor system developed for dynamic objects and based on the intelligent sensor concept, which ensures autonomous data collection and real-time analysis while adapting to changing conditions and compensating for errors. …”
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Overhead line path planning based on deep reinforcement learning and geographical information system by Jiahui Chen, Yi Yang, Ling Peng, Lina Yang, Yinhui Han, Xingtong Ge

“…This approach is mainly based on an assumption: the process of overhead line planning is a continuous trial-and-error process, and a relatively reasonable path can eventually be obtained through the continuous optimization of multiple objectives while meeting constraint conditions. Experimental verification of real data shows that compared with existing algorithms, the DSOP method is not only more consistent with the manual line selection effect (improved by more than 3%), but also has a high success rate. …”
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Soil Organic Carbon Prediction and Mapping in Morocco Using PRISMA Hyperspectral Imagery and Meta-Learner Model by Yassine Bouslihim, Abdelkrim Bouasria, Budiman Minasny, Fabio Castaldi, Andree Mentho Nenkam, Ali El Battay, Abdelghani Chehbouni

“…This study presents a novel meta-learner framework that combines multiple machine learning algorithms and spectra processing algorithms to optimize SOC prediction using the PRISMA hyperspectral satellite imagery in the Doukkala plain of Morocco. …”
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HVAngleEst: A Dataset for End-to-end Automated Hallux Valgus Angle Measurement from X-Ray Images by Qiong Wang, Dongdong Ji, Junhu Wang, Liang Liu, Xinquan Yang, Yan Zhang, Jingqi Liang, Peilong Liu, Hongmou Zhao

“…Traditional manual measurement methods, while standardized, are time-consuming, labor-intensive, and subject to evaluator bias. …”
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Mathematical modeling of fastening conditions in piggyback transport: ensuring safety and stability across different transport modes by Ziyoda Mukhamedova, Diyor Boboyev, Shukhrat Saidivaliev, Rustam Abdullaev, Jamshid Kobulov, Sardorbek Akhmedov, Sherzod Fayzibayev

“…This study has employed Newtonian mechanics and the D'Alembert principle to analyse how different forces, such as gravity, inertia, aerodynamic resistance, and centrifugal forces, affect the stability of semi-trailers while in motion. Systematic algorithms and simulation tools, such as MATLAB, were utilised to determine how speed and external factors affected the forces acting on the fasteners and the resulting movement of the cargo. …”
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