Histopathological Image Analysis Using Machine Learning to Evaluate Cisplatin and Exosome Effects on Ovarian Tissue in Cancer Patients by Tuğba Şentürk, Fatma Latifoğlu, Çiğdem Gülüzar Altıntop, Arzu Yay, Zeynep Burçin Gönen, Gözde Özge Önder, Özge Cengiz Mat, Yusuf Özkul

“…Classification was performed using ML algorithms, including decision tree (DT), k-nearest neighbors (KNN), support vector machine (SVM), and Artificial Neural Network (ANN). …”
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Development of an MRI based artificial intelligence model for the identification of underlying atrial fibrillation after ischemic stroke: a multicenter proof-of-concept analysisRes... by Zijie Zhang, Yang Ding, Kaibin Lin, Wenli Ban, Luyue Ding, Yudong Sun, Chuanliang Fu, Yihang Ren, Can Han, Xue Zhang, Xiaoer Wei, Shundong Hu, Yuwu Zhao, Li Cao, Jun Wang, Saman Nazarian, Ying Cao, Lan Zheng, Min Zhang, Jianliang Fu, Jingbo Li, Xiang Han, Dahong Qian, Dong Huang

“…Dong Huang and the SJTU Trans-med Awards Research (No. 20220101) to Dahong Qian.…”
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Smart Data and Decision Support System for Local Optimization of Electric Charging Stations by Mauro Mazzei, Cristian Michelotti

“…This paper introduces an innovative Decision Support System (DSS) for the local optimization of Electric Vehicles (EV) charging station placement, integrating open data with advanced operational research. In contrast to existing works that typically isolate economic, geographic, or routing factors, our approach synergistically incorporates demographic statistics (ISTAT), geographic data (OpenStreetMap), and commuting patterns to optimize infrastructure deployment. …”
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Maximizing theoretical and practical storage capacity in single-layer feedforward neural networks by Zane Z. Chou, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller, Jean-Marie C. Bouteiller

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Synthesis of Amplitude-Phase Distribution in Quasiconcave an Antenna Array by M. R. Bibarsov, E. V. Gribanov, D. D. Gabrielyan, D. S. Fedorov, D. S. Fedorov

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Concrete Dam Deformation Prediction Model Based on Attention Mechanism and Deep Learning by ZHANG Hongrui, CAO Xin, JIANG Chao, ZU Anjun, XU Mingxiang

“…This research provides new insights for deformation prediction in related hydraulic engineering projects and establishes a foundation for developing real-time early warning methods based on deformation prediction for dam safety management.…”
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Visualization of Hazardous Substance Emission Zones During a Fire at an Industrial Enterprise Using Cellular Automaton Method by Yuri Matveev, Fares Abu-Abed, Leonid Chernishev, Sergey Zhironkin

“…Since the main problems of the cellular automation approach to modeling the dispersion of pollutants are the problems of speed and numerical diffusion, in this article the frontal cellular automation algorithm with a 16-point neighborhood pattern is used, which takes into account the features of the calculation scheme for finding the shortest path. …”
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“Human – Social Robot” Interaction: Through Overcoming Barriers to Hybrid Communication by V. I. Ignatyev, K. I. Spiridonova

“…A nonobtrusive (unobtrusive) research method was applied, which excludes the contact of the researcher with the object of study. …”
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Evaluating the Vulnerability of Hiding Techniques in Cyber-Physical Systems Against Deep Learning-Based Side-Channel Attacks by Seungun Park, Aria Seo, Muyoung Cheong, Hyunsu Kim, JaeCheol Kim, Yunsik Son

“…Despite the added complexity, DL models effectively distinguished real and dummy traces, highlighting limitations in existing hiding techniques. (4) Conclusions: These findings highlight the need for adaptive countermeasures against DL-SCAs. Future research should explore dynamic obfuscation techniques, adversarial training, and comprehensive evaluations of broader cryptographic algorithms. …”
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Cognitive load assessment through EEG: A dataset from arithmetic and Stroop tasksMendeley Data by Ali Nirabi, Faridah Abd Rahman, Mohamed Hadi Habaebi, Khairul Azami Sidek, Siti Yusoff

“…The proposed dataset serves as a valuable resource for advancing research in the realm of brain-computer interfaces and offers insights into identifying EEG patterns associated with stress.The proposed dataset serves as a valuable resource for researchers, offering insights into identifying EEG patterns that correlate with different stress states. …”
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AI Personalization and Its Influence on Online Gamblers’ Behavior by Florin Mihai, Ofelia Ema Aleca, Daniel-Marius Iordache

“…This research contributes to the literature on digital behavior influencing gambling by framing the analysis as observational and quasi-experimental and suggests that further studies use experimental and log-level data to more specifically analyze the algorithmic effects. …”
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Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive by Elena Pastorelli, Alper Yegenoglu, Alper Yegenoglu, Nicole Kolodziej, Nicole Kolodziej, Nicole Kolodziej, Willem Wybo, Francesco Simula, Sandra Diaz-Pier, Johan Frederik Storm, Pier Stanislao Paolucci

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Development of a lung perfusion automated quantitative model based on dual-energy CT pulmonary angiography in patients with chronic pulmonary thromboembolism by Linfeng Xi, Jianping Wang, Anqi Liu, Yifei Ni, Jie Du, Qiang Huang, Yishan Li, Jing Wen, Hongyi Wang, Shuai Zhang, Yunxia Zhang, Zhu Zhang, Dingyi Wang, Wanmu Xie, Qian Gao, Yong Cheng, Zhenguo Zhai, Min Liu

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Cluster Sort: A Novel Hybrid Approach to Efficient In-Place Sorting Using Data Clustering by Mohit Subramaniam, Tanya Tripathi, Omkumar Chandraumakantham

“…This research work introduces a clustering-based in-place sorting algorithm, cluster sort. …”
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Microcontroller-Driven Battery Management in Hybrid Energy Systems: A Systematic Review of Applications, Control Strategies, and Emerging Trends by Ripfumelo Humphrey Malele, Bongumsa Mendu, Bessie Baakanyang Monchusi

“…The study further identifies patterns, themes, and emerging trends in the literature, highlights research gaps, and proposes directions for future work in this field.…”
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Robust Classification of Intramuscular EMG Signals to Aid the Diagnosis of Neuromuscular Disorders by Shobha Jose, S. Thomas George, M. S. P. Subathra, Vikram Shenoy Handiru, Poornaselvan Kittu Jeevanandam, Umberto Amato, Easter Selvan Suviseshamuthu

“…Finally, the sequence of class labels is fed to the Boyer-Moore majority vote (BMMV) algorithm, which assigns a class to every iEMG signal. …”
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Reliability Evaluation and Preventive Maintenance Strategy Selection of Traction Substation Equipment Considering Its Wear Degree by E. E. Bakeev, A. I. Sharapova

“…Existing testing and preventive maintenance pattern is meant for the equipment which actual term of service does not exceed the maximum allowable one. …”
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Optimal fractional order automatic generation control including an excitation system for hybrid interconnected grids by Awadh Ba Wazir, Sultan Alghamdi, Abdullah Ali Alhussainy, Abdulraheem H. Alobaidi, N. Gowtham

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Outpatient Testing for HIV in Italy, 2018–2023—Preliminary Data by Claudio Galli, Vincenza Regine, Anna Caraglia, Francesca Centrone, Maria Chironna, Gianluca Cruschelli, Massimo Farinella, Valentina Annachiara Orlando, Chiara Pasqualini, Monia Puglia, Lucia Pugliese, Laura Rancilio, Lara Tavoschi, Fabio Voller, Barbara Suligoi

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Online Face Detection and Recognition in a Video Stream by Maha Hasso Al-Ghurery, Manar Zidan Al-Abaji

“…Faces detection and recognition process received considerable attention during the past decade, it is still considered one of the most important studies in the field of Image Processing, Pattern Recognition, and Computer Vision, where it drew the attention of many researchers from both the academic and industrial environments because of the broad scope of its practical applications. …”
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