Imitating a Safe Human Driver Behaviour in Roundabouts Through Deep Learning by A. S. J. Cervera, F. J. Alonso, F. S. García, A. D. Alvarez

“…By placing a number of cameras in our vehicle and processing their video feeds through a series of algorithms, including Machine Learning, we can build a representation of the state of the surrounding environment. …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…An effective and precise video processing methodology is utilized to address these challenges. …”
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Revolutionizing Sports: The Role of Wearable Technology and AI in Training and Performance Analysis by Stanisław Dudek, Weronika Koziak, Michalina Makieła, Aleksandra Bętkowska, Agata Kornacka, Wojciech Dudek, Kamila Szostak, Rafał Tomaka, Anna Byra

“…Variability in sensor precision and standardization issues hinder reliable cross-comparisons, necessitating the development of validation protocols. …”
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Digital Humanities & Large Language Models: Practice and Research in Semantic Retrieval of Ancient Documents by Haoxian WANG, Ziming ZHOU, Feifei DING, Chengfu WEI

“…Future efforts will be devoted to improving these issues to increase the effectiveness of the research.…”
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Deep Learning Approaches for Continuous Sign Language Recognition: A Comprehensive Review by Asma Khan, Seyong Jin, Geon-Hee Lee, Gul E. Arzu, L. Minh Dang, Tan N. Nguyen, Woong Choi, Hyeonjoon Moon

“…By emphasizing the role of real-time processing and diverse datasets, this survey provides actionable insights for advancing CSLR systems in practical applications. …”
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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

“…Initially, the Twitter data are pre-processed to improve the accuracy of classification. …”
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Class-Discrepancy Dynamic Weighting for Cross-Domain Few-Shot Hyperspectral Image Classification by Chen Ding, Jiahao Yue, Sirui Zheng, Yizhuo Dong, Wenqiang Hua, Xueling Chen, Yu Xie, Song Yan, Wei Wei, Lei Zhang

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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…Traditional word vector methods, such as Word2Vec and GloVe, as well as deep learning models like BERT, face limitations in handling context dependency and polysemy and present challenges in computational resources and real-time processing. To address these issues, this paper introduces two novel methods. …”
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies by Emmanuel A. Merchán-Cruz, Samuel Moveh, Oleksandr Pasha, Reinis Tocelovskis, Alexander Grakovski, Alexander Krainyukov, Nikita Ostrovenecs, Ivans Gercevs, Vladimirs Petrovs

“…Key challenges are analyzed, including technical hurdles (battery life, processing limits, and harsh environments), human factors (ergonomics, training, and cognitive load), and regulatory issues (safety certification and data privacy). …”
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SIC based RL for massive MIMO NOMA signal detection for different modulation schemes under diverse channel conditions by Arun Kumar, Aziz Nanthaamornphong, Mohammed H. Alsharif, Mehedi Masud

“…Iterative methods such as AMP, GS, and CG achieve lower complexity, but suffer from convergence issues or degraded BER. Despite requiring initial training, SIC-RL provides a favorable trade-off between the detection accuracy and processing cost, positioning it as a computationally efficient and high-performance detector for next-generation MIMO–NOMA systems.…”
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Development and evaluation of statistical and artificial intelligence approaches with microbial shotgun metagenomics data as an untargeted screening tool for use in food production by Kristen L. Beck, Niina Haiminen, Akshay Agarwal, Anna Paola Carrieri, Matthew Madgwick, Jennifer Kelly, Victor Pylro, Ban Kawas, Martin Wiedmann, Erika Ganda

“…These methods could be used to identify ingredients that deviate from their typical microbial composition, which could indicate food fraud or safety issues. The objective of this study was to assess the feasibility of using shotgun sequencing data as input into anomaly detection algorithms using fluid milk as a model system. …”
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Research Progress in the Application of MOFs Coupled Wood Composites in Environmental Remediation by Rongfu PENG, Xinfeng ZHU, Junning WANG, Jinhui ZHANG, Chaohai WANG, Shangru ZHAI

“…However, the crystal structure of MOFs typically results in a powdered form that is inherently fragile, unsuitable for processing, and low compatibility. These limitations hinder their recycling, processing, and molding, severely restricting their practical application. …”
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Influence of the colloidal-chemical state of chromium ions on the morphology and phase composition of its oxide forms by B. M. Nemenenok, A. R Tsyganov, A. S. Panasyugin, I. A. Pankovets, N. P. Masherova, N. D. Pavlovsky, I. L. Kulinich

“…In recent years, issues related to chemical pollution of the biosphere have become increasingly urgent. …”
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LAVID: A Lightweight and Autonomous Smart Camera System for Urban Violence Detection and Geolocation by Mohammed Azzakhnini, Houda Saidi, Ahmed Azough, Hamid Tairi, Hassan Qjidaa

“…Centralized architectures do not present the ideal solution due to the high cost, processing time issues, and network bandwidth overhead. …”
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Comprehensive lipidomics study of basa catfish and sole fish using ultra-performance liquid chromatography Q-extractive orbitrap mass spectrometry for fish authenticity by Weibo Lu, Yunyan Li, Lijun Ge, Honghai Wang, Ting Liu, Qiaoling Zhao, Zhujun Mao, Jingjing Liang, Pingya Wang, Kang Chen, Jing Xue, Qing Shen

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What affects the sustainability of a non-timber forest product value chain? A case study of an endemic palm harvested by local communities in Brazil by Ilana Araujo-Santos, Karen A. Kainer, Fernando Grenno, Alexandre Schiavetti

“…Respondents identified 20 threats to the piassava value chain, categorized into economic, social, and environmental issues, with the most cited being the scarcity of harvest workers, lack of interest among young people, and deforestation, respectively. …”
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ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

“…Digital Watermarking can assist in addressing such issues by incorporating a unique identifier into an image that can be used to authenticate its validity. …”
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Train-Time and Test-Time Computation in Large Language Models for Error Detection and Correction in Electronic Medical Records: A Retrospective Study by Qiong Cai, Lanting Yang, Jiangping Xiao, Jiale Ma, Molei Liu, Xilong Pan

“…<b>Conclusions:</b> Models focusing on train-time computation demonstrated greater efficiency in processing speed, while models focusing on test-time computation showed higher accuracy and interpretability in identifying and detecting quality issues in electronic medical records. …”
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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“… This systematic review aimed to explore the current applications, potential benefits, and issues of artificial intelligence (AI) in medical questionnaires, focusing on its role in 3 main functions: assessment, development, and prediction. …”
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Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems by Muhammad Atif Butt, Asad Masood Khattak, Sarmad Shafique, Bashir Hayat, Saima Abid, Ki-Il Kim, Muhammad Waqas Ayub, Ahthasham Sajid, Awais Adnan

“…In the last couple of decades, image processing and pattern recognition-based vehicle classification systems have been used to improve the effectiveness of automated highway toll collection and traffic monitoring systems. …”
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