Understanding the functional roles of modelling components in spiking neural networks by Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng

“…Specifically, we find that the leakage plays a crucial role in balancing memory retention and robustness, the reset mechanism is essential for uninterrupted temporal processing and computational efficiency, and the recurrence enriches the capability to model complex dynamics at a cost of robustness degradation. …”
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Edge-assisted UAV onboard video compression and transmission for efficient inference of patrolling tasks by YANG Peng, LIANG Yuxin, KONG Yuxin, LIU Mingliu

“…Those RoIs were then transmitted to edge servers for further processing. To address the challenges from dynamic UAV trajectories and fluctuating network conditions, the RoIs collected by UAVs were properly choosen through an adaptive RoI box selection algorithm, followed by adaptive configuration of quantization parameters (QP) of video codec, in order to further compress the transmitted data volume. …”
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DATA CENTER REMODELING FOR THE INTERNET OF THINGS by Cristian IVĂNUŞ

“…This is true for both servers and storage as well as for the processing power. Companies operating in this field help customers to optimize their data center availability and security by evaluating the energy consumption, cooling capacity and other factors involved in data centers upgrading. …”
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Tiny Machine Learning and On-Device Inference: A Survey of Applications, Challenges, and Future Directions by Soroush Heydari, Qusay H. Mahmoud

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Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors by Ehsan Masoudian, Ali Mirzaei, Hossein Bagheri

“…Utilizing advanced remote sensing, geospatial information system (GIS) processing techniques such as cloud computing, and machine learning algorithms, this research analyzed the impact of climatic parameters, topographic features, and human-related factors on wildfire susceptibility assessment and prediction in Iran. …”
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Risk assessment in sociotechnical systems based on functional resonance analysis method and hierarchical fuzzy inference tree by Ashish Kumar, Sudhir Kumar Singh, Biswajit Samanta, Ashis Bhattcherjee

“…The present study aims to develop a comprehensive risk assessment methodology tailored for complex socio-technical systems, integrating the functional resonance analysis method, soft computing, natural language processing, and multi-criteria decision-making. …”
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Quantitative Analysis of the Effect of Fluorescent Labels on DNA Strand Displacement Reaction by Masato Toyonari, Kaori Aso, Takashi Nakakuki

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Advanced memristive architectures based on nanomaterials for biomedical applications: a mini review by Manel Bouzouita, Shashikant Pathak, Fakhreddine Zayer, Fakhreddine Zayer, Hamdi Belgacem, Ioulia Tzouvadaki

“…In recent years, the interest of science in big data sensing, storage and processing has been growing fast. Nano-materials have been widely used in resistive switching devices thanks to their distinguished properties. …”
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Toward Energy Efficiency and Fairness in UAV-Based Task Offloading by Mohamed El-Emary, Ali Ranjha, Diala Naboulsi, Razvan Stanica

“…The rising demand for compute-intensive mobile applications challenges the limited energy and processing power of user equipment (UE). …”
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A Comprehensive Review on ISAC for 6G: Enabling Technologies, Security, and AI/ML Perspectives by Sultan Aldirmaz-Colak, Mustafa Namdar, Arif Basgumus, Serdar Ozyurt, Selman Kulac, Nurullah Calik, Mehmet Akif Yazici, Ahmet Serbes, Lutfiye Durak-Ata

“…The communication-centric ISAC focuses primarily on improving communication performance beyond 5G/6G cellular networks and Wi-Fi standards, while also performing additional processing required for detection. On the other hand, the sensing-centric ISAC prioritizes sensing and detection capabilities while incorporating communication functions in the most efficient way possible. …”
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Dynamic resource provisioning in containerized edge systems with reconfigurable edge servers by Babatunde S. Awoyemi, Mduduzi C. Hlophe, Bodhaswar T. Maharaj

“…Abstract Recent technological advancements have seen powerful computational resource-enriched virtual machines (VMs) being used for processing data in edge servers. …”
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BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse by Qiaowang Li, Yaser Gamallat, Jon George Rokne, Tarek A. Bismar, Reda Alhajj

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A sustainable neuromorphic framework for disease diagnosis using digital medical imaging by Rutwik Gulakala, Marcus Stoffel

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Quantum Variational Autoencoder Based on Weak Measurements With Fuzzy Filtering of Input Data by Vyacheslav Korolyov, Maksim Ogurtsov, Oleksandr Khodsinskyi

“…The development of quantum computing and artificial intelligence necessitates the development of hybrid quantum-classical algorithms for solving complex computational problems. …”
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Real-time and resource-efficient banana bunch detection and localization with YOLO-BRFB on edge devices by Shuo Wang, Shuo Wang, Shuo Wang, Lijiao Wei, Danran Zhang, Danran Zhang, Ling Chen, Ling Chen, Weihua Huang, Dongjie Du, Kangmin Lin, Zhenhui Zheng, Zhenhui Zheng, Zhenhui Zheng, Jieli Duan

“…Finally, the system is optimized for edge-device deployment, achieving real-time processing with minimal computational resources. Experimental results demonstrate that YOLO-BRFB achieves a precision of 0.957, recall of 0.922, mAP of 0.961, and F1-score of 0.939, surpassing YOLOv8 in both recall and mAP. …”
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HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

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Analisis Keaktifan Siswa Melalui Computer Based Instruction Model Simulasi dalam Pembelajaran IPA di MI 01 Rejang Lebong by Zahratul Fitria, Andi Prastowo

“… Natural Science Learning (IPA) which is often considered difficult in the learning process takes place, It aims to reveal the application of Natural Science (IPA) learning using Computer Based Instructions to improve the activeness of learning sisswa. …”
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TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

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Reinforcement Learning for Data-driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration by Brian M. Kirk, Urvashi Rau, Ramyaa Ramyaa

“…Data gathered by an interferometer require substantial processing before astronomers can extract scientific information from them. …”
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Neural Network Method of Controllers’ Parametric Optimization with Variable Structure and Semi-Permanent Integration Based on the Computation of Second-Order Sensitivity Functions... by Serhii Vladov, Lukasz Scislo, Nina Szczepanik-Ścisło, Anatoliy Sachenko, Victoria Vysotska

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