Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery by Houda Labjar, Mohammad Al-Sarem, Mohamed Kissi

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Design and implementation algorithm of safe driver assistant system based on EOG by Zhao LYU, Xiao-pei WU, Chao ZHANG, Bing WEI

“…Furthermore, independent component analysis (ICA) algorithm was used to extract spatial feature parameters of activity-detected EOG signals, and combined with support vector machine (SVM) method to recognize the type of saccade signals, such as up-rolling, left-rolling and right-rolling. …”
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Exploring Quantum Neural Networks for Demand Forecasting by Gleydson Fernandes de Jesus, Maria Heloísa Fraga da Silva, Otto Menegasso Pires, Lucas Cruz da Silva, Clebson dos Santos Cruz, Valéria Loureiro da Silva

“…A classical recurrent neural network was used to compare the results, and they show a similar predictive capacity between the classical and quantum models, with the advantage of using a lower number of training parameters and also converging in fewer steps. Utilizing quantum computing techniques offers a promising solution to overcome the limitations of traditional machine learning approaches in training predictive models for complex market dynamics.…”
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Optimum Design and Research of the Vertical Manipulator Arm Rotation Structure by Sima Mingyang, Zhang Lin, Wang Baoping, Jiang Mingyang, Liu Hongbin

“…Based on the complex method, the optimal scale parameters of the boom turnover mechanism are obtained, and the maximum load of the driving cylinder before and after optimization is reduced by about 36%. …”
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Data-Driven Energy Consumption Analysis and Prediction of Real-World Electric Vehicles at Low Temperatures: A Case Study Under Dynamic Driving Cycles by Yifei Zhao, Hang Liu, Jinsong Li, Hongli Liu, Bin Li

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MVSAPNet: A Multivariate Data-Driven Method for Detecting Disc Cutter Wear States in Composite Strata Shield Tunneling by Yewei Xiong, Xinwen Gao, Dahua Ye

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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…A 2D raster data representing building volumes of each grids are derived from 3D vector-format urban data for use in machine learning applications. Since the task is to explore patterns, i.e., urban heat islands, Gaussian blurring is implemented on these generated 2D raster data before the training process. …”
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Loan classification using a feed-forward neural network by U. I. Behunkou

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Augmented Envelope Neural Networks on RF-SoC for Digital Self-Interference Cancellation by Udara De Silva, Hiruni Silva, Arjuna Madanayake

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ML-Based Materials Evaluation in 3D Printing by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Jakub Kopowski

“…Machine learning (ML) is transforming the evaluation of 3D printing materials, enabling more efficient and accurate assessment of material properties, including their sustainable life cycle. …”
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Mathematical models of wheel turning processes road construction vehicles by Sukharev R.Yu.

“…The fulfillment of these requirements is associated with great difficulties in view of the limited accuracy of the road construction machine itself, the lack of on-board control systems and the limited capabilities of the human operator, who is unable to determine the required exact parameters of the structure being built «by eye». …”
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A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks by Gökhan Pediz, M. Alim Kırışık

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Evaluation and Anomaly Detection Methods for Broadcast Ephemeris Time Series in the BeiDou Navigation Satellite System by Jiawei Cai, Jianwen Li, Shengda Xie, Hao Jin

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A Technique for Monitoring Mechanically Ventilated Patient Lung Conditions by Pieter Marx, Henri Marais

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Federated learning in food research by Zuzanna Fendor, Bas H.M. van der Velden, Xinxin Wang, Andrea Jr. Carnoli, Osman Mutlu, Ali Hürriyetoğlu

“…Federated learning is a technique to potentially alleviate these obstacles because it allows to train machine learning models locally, keeping the data private and sharing only the learned parameters.In this review we investigate the use of federated learning in food research. …”
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Bayesian-optimized stacking ensemble with multimodal feature selection for tobacco leaf maturity classification by Yunpeng Lu, Yang Wu, Lu Zhang, Jinguo Huang, Guangwei Sun, Jing Liu

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A Novel Digital Twin-Based Framework and Methodology for Enhancing the Contribution of Loads to Frequency Control by Jesus Arauz, Antoine Labonne, Yvon Besanger, Frederic Wurtz, Simon Waczowicz, Veit Hagenmeyer

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Optimization of waste plastic fiber concrete with recycled coarse aggregate using RSM and ANN by Sumant Nivarutti Shinde, Sharon Christa, Rakesh Kumar Grover, Nadeem Pasha, D. Harinder, G. Nakkeeran, George Uwadiegwu Alaneme

“…The inclusion of plastic fibers enhances crack resistance and reduces brittleness, ensuring better structural performance. Key parameters such as dry density, ultrasonic pulse velocity, rebound hammer strength, and compressive strength were evaluated. …”
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Application of artificial intelligence in intelligent healthcare by WANG Zuheng, WEI Chunmeng, LU Wenhao, LI Xiao, WANG Fubo

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Enhancing mechanical and bioinspired materials through generative AI approaches by Silvia Badini, Stefano Regondi, Raffaele Pugliese

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