Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail, Ahmet Sait Alali, Ahmad Muhammad, Mahmoud Ashraf, Sameh O. Abdellatif

“…Future research should prioritize using experimental datasets to achieve more realistic predictions, thereby driving innovation and unlocking the full potential of machine learning and deep learning in optimizing PSC design and performance.…”
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Developing a Model for Integrating Artificial Intelligence (AI) to Change the Organization’s Public Relations Unit’s Processes, With an Emphasis on Organizational Knowledge Managem... by Seyed Vahab Omat Mohammadi, Ladan Hajianvari, Kimiya Mohaqeq

“…By identifying key components and developing an applied model for optimizing public relations practices through AI, this study explores the causal, contextual, intervening, strategic, and consequential conditions for AI implementation in public relations departments and aims to provide practical solutions to facilitate digital transformation within organizations. …”
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A novel ensemble Wasserstein GAN framework for effective anomaly detection in industrial internet of things environments by Rubina Riaz, Guangjie Han, Kamran Shaukat, Naimat Ullah Khan, Hongbo Zhu, Lei Wang

“…Traditional resampling and machine learning methods struggle with such skewed data, usually failing to identify these rare but significant events. …”
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Rail surface identification and adhesion control based on dynamic adhesion characteristics by Wen Liu, Hongfeng Qi, Jingchun Huang, Yiyuan Chen, Sheng He, Haoxiang Feng

“…Therefore, to achieve stable tracking of the optimal adhesion state while adopting the feedback dynamic adhesion characteristic model, this study utilizes a machine learning algorithm to perform classification training on discrete points of the simulated adhesion characteristic model under various rail conditions. …”
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Comparative analysis of different algorithms for VAS station land cover classification with limited training points by D. García-Rodríguez, A. Pérez-Hoyos, B. Martínez, Pablo Catret Ruber, J. Javier Samper-Zapater, E. López-Baeza, J.J. Martínez Durá

“…., monthly, seasonal), iii) the performance of six Machine Learning algorithms (i.e., CART, GTB, k-NN, NB, RF, and SVM, alongside three deep learning models (FC-NN, MLP-ED, and ResCNN) and iv) the optimization of classifier tuning parameters. …”
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Digital Twins for Defect Detection in FDM 3D Printing Process by Chao Xu, Shengbin Lu, Yulin Zhang, Lu Zhang, Zhengyi Song, Huili Liu, Qingping Liu, Luquan Ren

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Study on Vibration Characteristics and Transmission Path of Mountain Rack Trains Based on the OPTA Method by Liangzhao Qi, Xingqiao Deng, Liyuan Zeng, Chenglong Dong, Yixin Xu, Shisong Wang, Yucheng Liu

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Improving generative inverse design of molecular catalysts in small data regime by François Cornet, Pratham Deshmukh, Bardi Benediktsson, Mikkel N Schmidt, Arghya Bhowmik

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Efficient cooling capability in microchannel heat sink reinforced with Y-shaped fins: Based on artificial neural network, genetic algorithm, Pareto front, and numerical simulation by Xiang Ma, Ali Basem, Pradeep Kumar Singh, Rebwar Nasir Dara, Ahmad Almadhor, Amira K. Hajri, Raymond Ghandour, Barno Abdullaeva, H. Elhosiny Ali, Samah G. Babiker

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Statistical Analysis of Industrial Processes by T. I. Chepeleva, A. N. Chepelev

“…Statistical methods  with the help of mathematical modeling have substantiated the optimal sizes of both individual parts  and volumes of local warehouses, so that there were no delays in the transfer of production processes, disruptions in work, downtime of working equipment. …”
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Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

“…Federated learning (FL) is a promising technique for training machine learning models on distributed, privacy-aware datasets. …”
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AI-Powered Stroke Diagnosis System: Methodological Framework and Implementation by Marta Narigina, Agris Vindecs, Dušanka Bošković, Yuri Merkuryev, Andrejs Romanovs

“…Our approach involves rigorous data preprocessing, feature engineering, and ensemble techniques to optimize the predictive performance. Comprehensive evaluations demonstrate that gradient-boosted models outperform in accuracy, while CNNs enhance stroke detection rates. …”
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Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy by Tu‐Lan Vu‐Han, Vikram Sunkara, Rodrigo Bermudez‐Schettino, Jakob Schwechten, Robin Runge, Carsten Perka, Tobias Winkler, Sebastian Pokutta, Claudia Weiß, Matthias Pumberger

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Genome-wide expression in human whole blood for diagnosis of latent tuberculosis infection: a multicohort research by Fan Jiang, Fan Jiang, Fan Jiang, Yanhua Liu, Linsheng Li, Linsheng Li, Ruizi Ni, Ruizi Ni, Yajing An, Yajing An, Yufeng Li, Yufeng Li, Lingxia Zhang, Wenping Gong

“…Cohorts were stratified into training (8 cohorts, n = 1,933) and validation sets (3 cohorts, n = 825) based on functional assignment.ResultsThrough Upset analysis, LASSO (Least Absolute Shrinkage and Selection Operator), SVM-RFE (Support Vector Machine Recursive Feature Elimination), and MCL (Markov Cluster Algorithm) clustering of protein–protein interaction networks, we identified S100A12 and S100A8 as optimal biomarkers. …”
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Unleashing the Potential of Knowledge Distillation for IoT Traffic Classification by Mahmoud Abbasi, Amin Shahraki, Javier Prieto, Angelica Gonzalez Arrieta, Juan M. Corchado

“…We find that the knowledge distillation technique effectively transfers knowledge from the teacher model to the student model, even with reduced training data. …”
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AI-Driven Particulate Matter Estimation Using Urban CCTV: A Comparative Analysis Under Various Experimental Conditions by Woochul Choi, Hongki Sung, Kyusoo Chong

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Study on Trajectory Planning for Polishing Free-Form Surfaces of XY-3-RPS Hybrid Robot by Xiaozong Song, Junfeng An, Xingwu Ma

“…Free-form surface polishing is a key process in precision machining within high-end manufacturing, where optimizing the polishing trajectory directly influences both processing quality and efficiency. …”
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A comprehensive systematic review of intrusion detection systems: emerging techniques, challenges, and future research directions by Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Nusrat Alam Chaiti, Sudipta Saha, Ajoy Roy

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Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

“…In order to choose the best features, a modified chicken swarm optimization algorithm (MCSO) was proposed. Aberrant waves caused by cardiac ailments impacted the dataset patients, according to the suggested research’s unique machine learning methods of multi-module neural network system (MMNNS). …”
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Optimal Design for a Novel Compliant XY Platform Integrated with a Hybrid Double Symmetric Amplifier Comprising One-Lever and Scott–Russell Mechanisms Arranged in a Perpendicular S... by Minh Phung Dang, Anh Kiet Luong, Hieu Giang Le, Chi Thien Tran

“…The pseudo-rigid body model (PRBM), Lagrangian approach, finite element analysis (FEA), and Firefly optimization algorithm were employed to develop, verify, and optimize the quality response of the new positioner. …”
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