Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review by Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou

“…Nowadays, recent smartphones, equipped with integrated inertial measurement units (IMUs) and embedded algorithms, can play a crucial role in such development. …”
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Selective Reviews of Bandit Problems in AI via a Statistical View by Pengjie Zhou, Haoyu Wei, Huiming Zhang

“…This review outlines the foundational models and assumptions of bandit problems, explores non-asymptotic theoretical tools like concentration inequalities and minimax regret bounds, and compares frequentist and Bayesian algorithms for managing exploration–exploitation trade-offs. …”
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Sample Weighting Methods for Compensating Class Imbalance in Elephant Flow Classification by Piotr Jurkiewicz, Robert Wojcik, Jerzy Domzal

“…Analysis reveals that one of our proposed methods based on square root weighting significantly outperforms standard class balancing, offering up to 72% gains in flow operations reduction metric across multiple algorithms. These findings provide valuable insights for researchers and practitioners working on flow classification problem, contributing to more efficient network traffic management systems.…”
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Community Vitality in Dynamic Temporal Networks by Fu Cai, Li Min, Zou Deqing, Qu Shuyan, Han Lansheng, James J. Park

“…Current researches on temporal networks mainly tend to detect community structure. …”
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Player Performance Analysis in Table Tennis Through Human Action Recognition by Kangnan Dong, Wei Qi Yan

“…In the field of video analysis, human action recognition has emerged as a highly researched area. Beyond post-session analysis, it has the potential for real-time applications, such as providing instant feedback or comparing ideal motions with actual player movements. …”
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Facial Recognition Databases: Recent Developments and Review of Methods by Waleed Ayad, Siraj Qays, Asanka G. Perera, Ali Al-Naji

“… Facial recognition is one of the most important biometrics that many researchers are increasingly studying, as it is used in various applications such as surveillance, security, law enforcement, information, person identification, smart cards, access control, etc. …”
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Enhancing cyber threat detection with an improved artificial neural network model by Toluwase Sunday Oyinloye, Micheal Olaolu Arowolo, Rajesh Prasad

“…Data labeling difficulties, incorrect conclusions, and vulnerability to malicious data injections are only a few drawbacks of using machine learning algorithms for cybersecurity. To overcome these obstacles, researchers have created several network IDS models, such as the Hidden Naive Bayes Multiclass Classifier and supervised/unsupervised machine learning techniques. …”
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Machine learning driven digital twin model of Li-ion batteries in electric vehicles: a review by Muaaz Bin Kaleem, Wei He, Heng Li

“…Li-ion battery state estimation is one of the most important parts of the implementation of BMS, as it serves an important role in safe and reliable battery operation. Recently, researchers are working on the development of digital twin models to automate and optimize the BMS state estimation process by utilizing machine learning (ML) algorithms and cloud computing. …”
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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…For years, researchers have been studying computer vision, i.e. the ability of artificial intelligence (AI) systems to perceive and interpret visual data like humans. …”
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Object Detection using YOLOv8 : A Systematic Review by Nugraha Asthra Megantara, Ema Utami

“…This study evaluates the performance of YOLOv8 based on precision, recall, F1-score, and mean average precision (mAP) metrics, and compares its advantages and limitations with previous YOLO versions and other object detection algorithms. …”
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Tuning of PID Controller for Speed Control of DC-Motor by using Generalized Regression Neural Network and Invasive Weed Optimization by Muhammad Hilal, Haider TH. Salim ALRikabi, Ibtisam A. Aljazaery

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An Advanced Hybrid Forecasting System for Wind Speed Point Forecasting and Interval Forecasting by Haipeng Zhang, Hua Luo

“…However, as wind is irregular, nonlinear, and nonstationary, to accurately predict wind speed is a difficult task. To this end, researchers have made many attempts; however, they often use only point forecasting or interval forecasting, resulting in imperfect prediction results. …”
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Capturing drug use patterns at a glance: An n-ary word sufficient statistic for repeated univariate categorical values. by Gabriel J Odom, Laura Brandt, Clinton Castro, Sean X Luo, Daniel J Feaster, Raymond R Balise, CTN-0094 Team

“…As examples, we provide three algorithms to define primary endpoints from seminal SUD clinical trials.…”
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SPL-PlaneTR: Lightweight and Generalizable Indoor Plane Segmentation Based on Prompt Learning by Zhongchen Deng, Yuanlong Ge, Xiatian Qi, Kai Sun, Ruixi Wan, Bingxu Zhang, Shenman Zhang, Xun Zhang, Yan Meng

“…It has garnered significant attention from researchers and remains one of the most advanced algorithms in this field. …”
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Migraine triggers, phases, and classification using machine learning models by Anusha Reddy, Ajit Reddy

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Navigating the complexities of AI and digital governance: the 5W1H framework by S. Matthew Liao, Iskandar Haykel, Katherine Cheung, Taylor Matalon

“…By providing a structured analytical tool, the 5W1H framework helps policymakers, researchers, and stakeholders navigate complex AI governance decisions and identify areas for improvement in existing regulatory approaches.…”
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Identifying Influential Nodes in Complex Networks via Transformer with Multi-Scale Feature Fusion by Tingshuai Jiang, Yirun Ruan, Tianyuan Yu, Liang Bai, Yifei Yuan

“…Given the significant role of these nodes in network structures, researchers have proposed various identification methods. …”
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Towards Reliable ECG Analysis: Addressing Validation Gaps in the Electrocardiographic R-Peak Detection by Syed Talha Abid Ali, Sebin Kim, Young-Joon Kim

“…To validate R-peak detectors, comparing the predicted results with reference annotations is crucial. …”
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Enhancing malignant transformation predictions in oral potentially malignant disorders: A novel machine learning framework using real-world data by Jing Wen Li, Meng Jing Zhang, Ya Fang Zhou, John Adeoye, Jing Ya Jane Pu, Peter Thomson, Colman Patrick McGrath, Dian Zhang, Li Wu Zheng

“…Using data from 1,094 patients across three institutions (2004–2023), the researchers compared traditional statistical methods, including a Cox proportional hazards (Cox-PH) nomogram, with machine learning (ML) algorithms. …”
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Mobile based deep CNN model for maize leaf disease detection and classification by Getnet Tigabie Askale, Achenef Behulu Yibel, Belayneh Matebie Taye, Gashaw Desalegn Wubneh

“…Early identification of maize leaf disease through easily accessible tool is required to increase the yield of maize. Recently, researchers have attempted to detect and classify maize leaf diseases using Deep Learning algorithms. …”
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