Modern Data Storage Technologies in the Context of Industry 4.0 by V. A. Gasimov, Sh. Kh. Aliyeva, T. J. Garashli, M. Y. Asadova

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Multi video stream collaborative adaptive offloading scheme based on equilibrium game theory by Shijun Yuan

“…Firstly, under the constraint of long-term MEC energy budget, the processing cost of video tasks is minimized by jointly optimizing data stream selection decisions, server offloading decisions, bandwidth resource allocation, and computing resource allocation. …”
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Real-Time Evaluation of the Improved Eagle Strategy Model in the Internet of Things by Venushini Rajendran, R Kanesaraj Ramasamy

“…This research underscores the transformative potential of the IES model, marking a significant advancement in optimizing cloud computing processes, particularly within the IoT ecosystem.…”
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Review and prospects of information technologies management in agriculture by N. M. Matsveichuk, Yu. N. Sotskov, A. Yu. Mikhailov

“…The survey results show that in Russia advanced developments consider soil-climatic and agro-technological peculiarities of the territory, cloud technology providers and own data processing centers are being developed. Some practical systems are not unified, computing resources are geographically distributed, and less than 8–10 % of farms in Russia use digital platforms. …”
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All-Optical Inhibitory Dynamics by Backscattering With Unidirectional Injection-Locked Photonic Spiking Neuron by Shengyao Zhou, Bowen Ma, Weiwen Zou

“…Inhibitory dynamics plays an important role in the information processing of biological spiking neurons, where incoming stimuli weaken the activity level of neurons. …”
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Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review by G. H. Mohmad Dar, Radhakrishnan Delhibabu

“…The review highlights the need for future work to address real-time processing, context-sensitive emotion detection, and the integration of multi-modal data to enhance the performance of SER systems. …”
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An Integrated Hydrological–Hydrodynamic Model Based on GPU Acceleration for Catchment-Scale Rainfall Flood Simulation by Ruixiao Ma, Hao Han, Zhaoan Zhang

“…The model couples hydrological and hydrodynamic processes by solving the fully two-dimensional shallow water equations (2D SWEs), incorporating GPU-accelerated parallel computing. …”
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Emulation of Synaptic Plasticity in WO3‐Based Ion‐Gated Transistors by Ramin Karimi Azari, Luan Pereira Camargo, José Ramón Herrera Garza, Liam Collins, Wan− Yu Tsai, Lariel Chagas da Silva Neres, Patrick Dang, Martin Schwellberger Barbosa, Clara Santato

“…Abstract Neuromorphic systems, inspired by the human brain, promise significant advancements in computational efficiency and power consumption by integrating processing and memory functions, thereby addressing the von Neumann bottleneck. …”
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DRBD-YOLOv8: A Lightweight and Efficient Anti-UAV Detection Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Zhenghai Liu

“…Existing deep learning-based models for anti-UAV detection often cannot balance accuracy, processing speed, model size, and computational efficiency. …”
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Hierarchical cross-modal attention and dual audio pathways for enhanced multimodal sentiment analysis by D. Vamsidhar, Parth Desai, Aniket K. Shahade, Shruti Patil, Priyanka V. Deshmukh

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Human centered design of AI-powered Digital Therapeutics for stress prevention: Perspectives from multi-stakeholders' workshops about the SHIVA solution by Marco Bolpagni, Susanna Pardini, Silvia Gabrielli

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Multiple-Input Floating-Point Adders: A Comprehensive Review by Sami Ul Haq, Aiman H. El-Maleh, Ali Alsuwaiyan

“…Floating-point addition is pivotal in various computational applications, including scientific computing, machine learning, and graphics processing. …”
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Differential privacy protection technology and its application in big data environment by Yu FU, Yihan YU, Xiaoping WU

“…The privacy protection in big data is a research hotspot in the field of cyberspace security.As a strict and provable definition of privacy protection,studying application status of differential privacy protection in big data environment can provide reference and guidance for its subsequent system applications.Based on the analysis of the related concepts and technical characteristics of differential privacy protection,the application of differential privacy protection technology was reviewed in data distribution and analysis,cloud computing and big data computing,location and trajectory services and social networks,which expounded the current representative research results and analyzed its existing problems.The research shows that the existing results have made effective innovation and exploration of differential privacy protection applications from the aspects of differential privacy protection mechanism,noise addition mechanism and location,and data processing methods,and the related results have been cross-applied in different scenarios.Finally,four major problems that need to be studied in the further systematic application of differential privacy protection in the big data environment are proposed.…”
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Optimizing Federated Learning on TinyML Devices for Privacy Protection and Energy Efficiency in IoT Networks by William Villegas-Ch, Rommel Gutierrez, Alexandra Maldonado Navarro, Aracely Mera-Navarrete

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RON‐based cross‐chain routing optimization strategy in metaverse by Junjie Huang, Liang Tan, Jianmei Xiao

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The Future Is Organic: A Deep Dive into Techniques and Applications for Real-Time Condition Monitoring in SASO Systems—A Systematic Review by Tim Nolte, Sven Tomforde

“…By analyzing sensor data, CM enables systems to react to dynamic conditions, supporting the core principles of Organic Computing (OC): robustness, adaptability, and autonomy. …”
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A Portable and Affordable Four-Channel EEG System for Emotion Recognition with Self-Supervised Feature Learning by Hao Luo, Haobo Li, Wei Tao, Yi Yang, Chio-In Ieong, Feng Wan

“…Electroencephalography (EEG)-based emotion recognition offers promising avenues for real-time self-monitoring and affective computing applications. However, existing commercial solutions are often hindered by high costs, complicated deployment processes, and limited reliability in practical settings. …”
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Modular architecture confers robustness to damage and facilitates recovery in spiking neural networks modeling in vitro neurons by Takuma Sumi, Akke Mats Houben, Akke Mats Houben, Hideaki Yamamoto, Hideaki Yamamoto, Hideyuki Kato, Yuichi Katori, Yuichi Katori, Jordi Soriano, Jordi Soriano, Ayumi Hirano-Iwata, Ayumi Hirano-Iwata

“…Impaired brain function is restored following injury through dynamic processes that involve synaptic plasticity. This restoration is supported by the brain’s inherent modular organization, which promotes functional separation and redundancy. …”
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A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios by Alessandro Orro, Gian Angelo Geminiani, Francesco Sicurello, Marcello Modica, Francesco Pegreffi, Luca Neri, Antonio Augello, Matteo Botteghi

“…Cloud computing provides a solution with its built-in resilience and elasticity capabilities. …”
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Quantum-enhanced digital twin IoT for efficient healthcare task offloading by Ahmed K. Jameil, Hamed Al-Raweshidy

“…However, existing Digital Twin (DT)-based healthcare models suffer from high latency, inefficient resource allocation, cybersecurity vulnerabilities, and computational limitations when processing large-scale patient data. …”
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