Synergistic task-offloading in 6G edge networks based on propagation dynamics by Chao Zhu, Yuexia Zhang, Xinyi Wang, Xuzhen Zhu

“…This model describes the dynamic transmission process of offloaded tasks in 6G edge networks and constructs two linear threshold functions to characterize the differences in task processing capabilities between UT and edge servers (ES). …”
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Missing Data Interpolation of Alzheimer’s Disease Based on Column-by-Column Mixed Mode by Shi-di Miao, Si-qi Li, Xu-yang Zheng, Rui-tao Wang, Jing Li, Si-si Ding, Jun-feng Ma

“…In addition, in the processing of missing data, a combination of deletion method and interpolation method is adopted with reference to expert knowledge. …”
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Emerging Foodborne Pathogens: Challenges and Strategies for Ensuring Food Safety by Ali Hassan, Muhammad Kashif Iqbal Khan, Summaia Fordos, Ali Hasan, Samran Khalid, Muhammad Zeeshan Naeem, Ali Usman

“…Furthermore, this study explores the challenges faced in controlling and preventing the spread of these pathogens throughout the food supply chain. It examines issues related to contamination during production, processing, transportation, and consumption. …”
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Fitness exercise evaluation system based on improved DTW algorithm by Tinghang Guo, Qianhan Yin, Xinlin Liu, Yue Sun, Zhuanping Qin, Yu Han, Guangda Lu

“…To address these issues, a real-time fitness action recognition and evaluation system is developed based on the lightweight BlazePose model. …”
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Hybrid AI-Powered Real-Time Distributed Denial of Service Detection and Traffic Monitoring for Software-Defined-Based Vehicular Ad Hoc Networks: A New Paradigm for Securing Intelli... by Onur Polat, Saadin Oyucu, Muammer Türkoğlu, Hüseyin Polat, Ahmet Aksoz, Fahri Yardımcı

“…However, with the rise of smart and electric vehicles, traditional VANETs struggle with issues like scalability, management, energy efficiency, and dynamic pricing. …”
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A big data driven multilevel deep learning framework for predicting terrorist attacks by Ume Kalsooma, Sahar Arshad, Amerah Albarah, Imran Siddiqi, Saeed Ullah, Abdul Mateen, Farhan Amin

“…It is a layered model capable of processing large-scale data. Our proposed model can learn from past events and forecast future attacks. …”
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Multimodal Fusion Mamba Network for Joint Land Cover Classification Using Hyperspectral and LiDAR Data by Haizhu Pan, Ruixiang Zhao, Haimiao Ge, Moqi Liu, Quanxiu Zhang

“…With the rapid advancement of deep learning technologies, the use of computers for processing and analyzing multimodal remote sensing data has attracted significant attention. …”
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Genetic Algorithm-Driven Joint Optimization of Task Offloading and Resource Allocation for Fairness-Aware Latency Minimization in Mobile Edge Computing by Mohamed Elkawkagy, Ibrahim A. Elgendy, Samia Allaoua Chelloug, Heba Elbeh

“…This work advances MEC efficiency by tackling multi-resource optimization issues through metaheuristic exploration, with a scalable approach to latency-sensitive IoT and 5G network use cases.…”
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“WHO ARE YOU, WHO AM I?” Does a psychologist need philosophy to better understand the sexual abuse of minors? by Ewa Kusz

“…Also, in the case of the perpetrator, understanding the process of becoming a perpetrator may help in the process of his resocialization, that is, the process of restoring his experience of his being as a free person open to meeting the other “you” who must not harmed. …”
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Avoiding undesirable cathode/electrolyte interfacial reactions for proton-conducting solid oxide fuel cells by Joule heating by Yiheng Gu, Zhiyu Chen, Zhicheng Wang, Shoufu Yu, Lei Bi

“…To address this issue, the Joule heating process is used to produce the LiMO cathode for H-SOFCs. …”
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Parâmetros relacionados ao conforto de passageiros: uma pesquisa das práticas adotadas por fabricantes de poltronas Parameters related to passengers' comfort: a research on the pra... by Jerusa Barbosa Guarda de Souza, Nilton Luiz Menegon, Marina Greghi Sticca, Talita Naiara Rossi

“…<br>The product development process is an interdisciplinary process which comprehends the study of the people, the processes and the context. …”
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Optimizing high-speed train tracking intervals with an improved multi-objective grey wolf by Lin Yue, Meng Wang, Peng Wang, Jinchao Mu

“…To address the challenge of shortening train tracking intervals while enhancing transportation efficiency, the multi-objective dynamic optimization of the train operation process has emerged as a critical issue. Design/methodology/approach – Train dynamic model is established by analyzing the force of the train in the process of tracing operation. …”
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Innovative Approaches for Sustainable Wastewater Resource Management by Ayşe Ulusoy, Atılgan Atılgan, Roman Rolbiecki, Barbara Jagosz, Stanisław Rolbiecki

“…With approximately 2.2 billion people worldwide currently lacking access to clean water—a number projected to exceed 3 billion by 2025—water scarcity has become an urgent issue. Traditional wastewater treatment processes handle around 330 billion cubic meters of water annually; however, they account for 3–4% of global energy consumption and produce 300 million tons of carbon emissions. …”
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The Nogai Nomads in the XVIII–XIX centuries: the choice between the Russian State and the Ottoman Empire by A. T. Dzhumagulova

“…The novelty of the author’s approach consists in understanding the need to study this issue not only through the prism of the Russian-Turkish rivalry in the North Caucasus and the Northern Black Sea region, but also through the process of integration of Nogai nomads into the Russian Empire in the historical period under consideration. …”
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Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review by Chinthamu Narender, Ashish, P Mathiyalagan, B Devananda Rao, S Kannadhasan, M Suganya

“…In this paper, we contribute with a systematic literature review of state-of-the-art data-mining techniques for predictive maintenance with emphasis on hybrid AI frameworks, deep learning and online data processing approaches, as well as, privacy-aware methods. …”
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Wave propagation-based tests for concrete piles – an overview by Reham Samaan, Abdelsalaam Mokhtar, Mohamed Saafan, Ahmed Ebid

“…The analysis declares substantial advancements in testing methodologies, signal processing, and data interpretation techniques for evaluating the structural integrity of deep foundations. …”
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A Qualitative Analysis of the Impact of Perceived Corporate Social Responsibility on Employees’ Affective Commitment by Raihène Raho, Houari Benchikh

“…Despite the growing interest in corporate social responsibility (CSR) issues, research on micro-CSR remains an emerging field, offering new insights. …”
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Research on the Method of Air Traffic Control Instruction Keyword Extraction Based on the Roberta-Attention-BiLSTM-CRF Model by Sheng Chen, Weijun Pan, Yidi Wang, Shenhao Chen, Xuan Wang

“…However, this task is challenging due to the specialized terminology involved and the high real-time requirements for data collection and processing. While existing keyword extraction methods have made some progress, most of them still perform unsatisfactorily on ATC instruction data due to issues such as data irregularities and the lack of domain-specific knowledge. …”
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Enhancing smart city sustainability with explainable federated learning for vehicular energy control by Khalid Ishaq Abdullah Almaazmi, Saif Jasim Almheiri, Muhammad Adnan Khan, Asghar Ali Shah, Sagheer Abbas, Munir Ahmad

“…Traditional centralized machine learning models and cloud-based Energy Management Systems (EMSs) struggle with real-time adaptability, high-dimensional data processing, and data privacy risks. These issues lead to high costs, excessive energy waste, and regulatory concerns. …”
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Multi-Scale Differentiated Network with Spatial–Spectral Co-Operative Attention for Hyperspectral Image Denoising by Xueli Chang, Xiaodong Wang, Xiaoyu Huang, Meng Yan, Luxiao Cheng

“…The DMF module adopts a multi-branch parallel structure with differentiated processing to dynamically fuse multi-scale spatial–spectral features and incorporates a cross-scale feature compensation strategy to improve feature representation and mitigate information loss. …”
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