Age Analysis of Critical Information in Internet of Vehicle Networks With Service Confluence by Zhengchuan Chen, Tianqing Yang, Shuyang Fang, Li Zhen, Nikolaos Pappas, Min Wang, Dapeng O. Wu, Tony Q. S. Quek

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Deep learning-based feature selection for detection of autism spectrum disorder by Ibrahim Nafisah, Nermine Mahmoud, Ahmed A. Ewees, Mohamed G. Khattap, Abdelghani Dahou, Safar M. Alghamdi, Ibrahim A. Fares, Mohammed Azmi Al-Betar, Mohammed Azmi Al-Betar, Mohamed Abd Elaziz, Mohamed Abd Elaziz

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CoAP/DTLS Protocols in IoT Based on Blockchain Light Certificate by David Khoury, Samir Haddad, Patrick Sondi, Patrick Balian, Hassan Harb, Kassem Danach, Joseph Merhej, Jinane Sayah

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Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies by Kuncham Sreenivasa Rao, Panduranga Vital Terlapu, D. Jayaram, Kalidindi Kishore Raju, G. Kiran Kumar, Rambabu Pemula, M. Venu Gopalachari, S. Rakesh

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A comparison of granule-based material extrusion and fused filament fabrication in the performances of TPS/PBS blend by Ke Gong, Yinshi Lu, Handai Liu, Alexandre Portela, Tielidy de Lima, Han Xu, Maurice N. Collins, Yuanyuan Chen

“…The results revealed that FFF-processed material exhibited a higher MFI but lower stiffness, glass transition temperature (Tg), cold crystallization temperature (Tcc), and melting temperature (Tm) relative to the GME-processed counterpart. …”
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Adaptive k-means clustering algorithm based on grid and domain centroid weight by Wei CAI, Guangyu SUN, Fei YANG, Bo YAO, Chuanxian LI

“…ObjectiveThe digital twin of a natural gas pipeline, constructed from physical entities, continuously generates substantial data, posing significant challenges for data mining regarding computational cost, efficiency, and scalability. The k-means clustering algorithm, a widely used data mining method, requires specifying the number of clusters, k, and relies on the selection of initial centroids which impacts computational efficiency and the risk of getting stuck in local optima. …”
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Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Medical doctors are assisted by computer-aided detection and diagnosis systems systems and methods derived from artificial intelligence deep learning-based systems have to be trained on existing data. …”
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Evaluation of Factors Influencing Assistant Referee Decisions in Determining "Offside" in Football by Anatoly Abdula, Stanislav Marulin

“…The following research methods were used during the study: non-interventional observation, where regular observation was conducted from the side to study the decision-making process on the football field; video content analysis, where the technical aspects of referees' behavior were assessed; statistical methods to process the quantitative data obtained during experiments and observations; and the modeling method, which involved creating 3D computer models to analyze the impact of assistant referees' positions on the assessment of situations related to the interpretation of Law 11. …”
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Mesostructure Evolution of Gravelly Soil under the Triaxial Compressive Condition by Computerized Tomography by Yanli Wang, Yong Wang, Jiajun Pan, Rui Liang

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Transformers for Domain-Specific Text Classification: A Case Study in the Banking Sector by Samer Murrar, Fatima M. Alhaj, Fadi Almasalha, Mahmoud H. Qutqut

“…The classification results are integrated into live banking systems, enabling continuous 24/7 message processing and instant categorization. Previously, human operators could process up to 70 messages per day during working hours. …”
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Applied Bioelectrochemistry: Plastic Degradation and Energy Generation Using <i>Klebsiella oxytoca</i> in Microbial Fuel Cells by Rojas-Flores Segundo, Cabanillas-Chirinos Luis, Nélida Milly Otiniano, Magaly De La Cruz-Noriega, Nancy Soto-Deza, Anibal Alviz-Meza, Ángel Darío González-Delgado

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A Trust Based Anomaly Detection Scheme Using a Hybrid Deep Learning Model for IoT Routing Attacks Mitigation by Khatereh Ahmadi, Reza Javidan

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Reliability Analysis of Three-dimensional Soil Slopes Considering Spatial Variability of Soil Parameters by Wan Yukuai, Zhou Yuqi, Shao Linlan, Wang Yuke, Zhang Fei

“…ObjectiveThree-dimensional (3D) slope reliability analysis encounters two primary challenges: (1) the stochastic modeling of soil properties involves intricate spatial variability, necessitating extensive data processing and imposing prohibitive computational burdens; and (2) brute-force trial-and-error methods for locating critical failure surfaces are computationally inefficient, impeding real-world implementation despite the imperative for precise stability evaluations in civil infrastructure. …”
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Analysis of Machining Parameters in WEDM of Al/SiCp20 MMC Using Taguchi-Based Grey-Fuzzy Approach by Mangesh R. Phate, Shraddha B. Toney, Vikas R. Phate

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The Role of Imagery in Film Creation (on the Example of Technical Images in Western Sci-Fi Films) by S. A. Pankratova

“…The analysis demonstrated that thanks to its implicit nature the image is able to render the emotional condition, to give direction to thought process, to provide wide program of information processing accompanied by the freedom of choice. …”
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SEANet: Semantic Enhancement and Amplification for Underwater Object Detection in Complex Visual Scenarios by Ke Yang, Xiao Wang, Wei Wang, Xin Yuan, Xin Xu

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A Track Segment Association Method Based on Heuristic Optimization Algorithm and Multistage Discrimination by Yiming Chen, Zhikun Zhang, Hui Zhang, Weimin Huang

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Multi-Dimensional Markov Chains of M/G/1 Type by Valeriy Naumov, Konstantin Samouylov

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Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry by Ahmed Sewify, Ahmed Sewify, Maxence Lavaill, Maxence Lavaill, Dermot O’Rourke, Dermot O’Rourke, Maria Antico, Maria Antico, Peter Pivonka, Peter Pivonka, Davide Fontanarosa, Davide Fontanarosa, Saulo Martelli, Saulo Martelli

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Automating the search for legal information in Arabic: A novel approach to document retrieval by K. S. Jafar, A. A. Mohammad, A. H. Issa, A. V. Panov

“…The approach proposed in the article represents an efficient way to automate the retrieval of legal information without requiring a large amount of labeled data or consuming significant computational resources. The work set out to analyze the feasibility of a document retrieval approach in the context of Arabic legal texts using natural language processing and unsupervised clustering techniques.Methods. …”
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