Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…Conducted in accordance with PRISMA guidelines and using a novel adaptation of the Downs and Black (D&B) scale, this study evaluates 89 research papers and provides insights into the evolving landscape of RUL estimation. …”
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IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

“…Emphasizing flexibility and adaptability, the proposed LMS caters to various training levels, being able to accommodate the needs of learners across different domains. …”
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An analytical assessment of credit card fraud detection techniques: Supervised, Unsupervised, and Reinforcement Learning by Abdourahman Djamal Djama

“…Result. An analytical evaluation of fraud detection methods is provided, covering different learning approaches: supervised, unsupervised and reinforcement learning. …”
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A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks by Gang Wang, Shangyi Du, Yurui Jiang, Xianyong Li

“…This has led to inaccurate simulations of information spread and influence propagation between nodes, with traditional IM algorithms’ selected seed node sets failing to adapt to network evolution. …”
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Post-integration based point-line feature visual SLAM in low-texture environments by Yanli Liu, Zhengyuan Feng, Heng Zhang, Wang Dong

“…Abstract To address the issues of weak robustness and low accuracy of traditional SLAM data processing algorithms in weak texture environments such as low light and low contrast, this paper first studies and improves the data feature extraction method, optimizing the AGAST-based feature extraction algorithm to adaptively adjust the extraction threshold according to the gradient size of different data features. …”
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Dual-Resource Optimization Configuration and Collaborative Scheduling for Flexible Job Shop Under Worker Flexibility Constraints by Zijie Ren, Hongyi Qu, Mejdl Safran, Jiafu Wan

“…Worker resources exhibit high flexibility, adaptability, and individual differences. It is critical to complete manufacturing tasks with a suitable worker resource allocation plan, given the increasing labor costs and the dynamic changes in production demands. …”
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The future of education: Importance of ethical frameworks and cultural sensitivity by Baltezarević Borivoje V.

“…Cultural contexts can significantly influence how students from different backgrounds understand and use AI systems. …”
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Exploring Heterogeneity in Car-Following Behaviors Based on Driver Visual Characteristics: Modeling and Calibration by Congcong Bai, Jun Jing, Bokun Liu, Wenbin Yao, Chengcheng Yang, Adjé Jérémie Alagbé, Sheng Jin

“…The driver’s visual characteristic variables were then incorporated to improve the full velocity difference (FVD) model. Genetic algorithms were employed to calibrate the model under different car-following types, revealing pronounced behavioral variations. …”
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Improving patient clustering by incorporating structured variable label relationships in similarity measures by Judith Lambert, Anne-Louise Leutenegger, Anaïs Baudot, Anne-Sophie Jannot

“…We construct patient networks from each similarity measure and identify clusters of patients using the Markov Cluster algorithm. We evaluate the performance of the different similarity measures with enrichment tests based on patient diagnoses. …”
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Resource Optimization Method Based on Spatio-Temporal Modeling in a Complex Cluster Environment for Electric Vehicle Charging Scenarios by Hongwei Wang, Wei Liu, Chenghui Wang, Kao Guo, Zihao Wang

“…The trust model assists agents in choosing partners, and the Q-learning algorithm of the intelligent cluster realizes the independent evaluation of rewards and the optimization of relationship adaptation. …”
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The Fetal Region-specific Optimized Growth Standard (FROGS)-A fetal and birthweight centile calculator validated in a national population. by Natasha L Pritchard, Stephen Tong, Teresa MacDonald, Elizabeth McCarthy, Lisa Hui, Michael Bethune, Hannah G Gordon, Roxanne Hastie, Emerson Keenan, Michael Permezel, Susan P Walker, Anthea C Lindquist

“…This study is limited in that it retrospectively assesses birthweight, which may have different implications to a prospective evaluation of estimated fetal weight.…”
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Maintaining the coverage of a satellite multibeam hybrid reflector antenna by monitoring the current reflector state using signals of on-ground beacon by A. V. Dardymov, Yu. I. Choni, A. G. Romanov, I. Yu. Danilov

“…In the paper, we propose an algorithm within the so-called best-fit paraboloid ideology, identify factors that can slow down its convergence, and evaluate the efficiency of electronic adaptation that can be achieved with it. …”
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Intelligent Recognition and Automated Production of Chili Peppers: A Review Addressing Varietal Diversity and Technological Requirements by Sheng Tai, Zhong Tang, Bin Li, Shiguo Wang, Xiaohu Guo

“…In terms of automation, we systematically discuss the principles and feasibility of different mechanized harvesting machines, consider the potential of vision-based keypoint detection for the point localization of picking, and explore motion planning and control for harvesting robots (e.g., robotic systems incorporating diverse end-effectors like soft grippers or cutting mechanisms and motion planning algorithms such as RRT) as well as seed cleaning/separation techniques and simulations (e.g., CFD and DEM) for equipment optimization. …”
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An Empirical Taxonomy of Video Summarization Model From a Statistical Perspective by Sai Babu Veesam, Aravapalli Rama Satish

“…This paper has thrown out a comprehensive taxonomic view of all different video summarization techniques that show variously adopted methodologies efficiently condensing large video data. …”
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A Comprehensive Review on Sensor-Based Electronic Nose for Food Quality and Safety by Teodora Sanislav, George D. Mois, Sherali Zeadally, Silviu Folea, Tudor C. Radoni, Ebtesam A. Al-Suhaimi

“…Our review found that most of the efforts use portable, low-cost electronic noses, coupled with pattern recognition algorithms, for evaluating the quality levels in certain well-defined food classes, reaching accuracies exceeding 90% in most cases. …”
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Classification of Structural and Functional Development Stage of Cardiomyocytes Using Machine Learning Techniques by V. R. Bondarev, K. O. Ivanko, N. G. Ivanushkina

“…A pre-processed and augmented dataset is used for training of the convolutional neural network having an architecture with hierarchical structure and residual block usage. The model is evaluated based on the confusion matrix and the heat maps of different convolutional layers are analyzed. …”
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Physical Information Neural Network-Based Seepage Behavior Analysis of Earth and Rock Dams by XUE binghan, HUANG zhenhua, LEI Jianwei, FANG Hongyuan

“…Furthermore, for complex earth-rock dam problems involving non-homogeneous materials, the algorithm maintains stable solutions with high accuracy, confirming its adaptability to intricate engineering challenges. …”
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A Biologically Inspired Program-Level Imitation Approach for Robots by Pourya Aliasghari, Moojan Ghafurian, Chrystopher L. Nehaniv, Kerstin Dautenhahn

“…To learn a new task, human-provided demonstrations—obtained by a robot through different modalities such as kinesthetic teaching or behavioural observation—are processed by an algorithm to discover multiple possible arrangements of sub-goals that achieve the task goal. …”
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Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users by Christopher Meaney, Xuesong Wang, Jun Guan, Therese A. Stukel

“…For each HPO method, we estimated 100 extreme gradient boosting models at different hyper-parameter configurations; and evaluated model performance using an AUC metric on a randomly sampled validation dataset. …”
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Snoring Sound Recognition Using Multi-Channel Spectrograms by Ziqiang YE, Jianxin PENG, Xiaowen ZHANG, Lijuan SONG

“…This paper proposes a snoring sound detection algorithm using a multi-channel spectrogram and convolutional neural network (CNN). …”
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