A Real-Time Trust Management Model Using Digital Twin in IoT Networks by Meriem Soula, Bacem Mbarek, Aref Meddeb

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Towards Efficient HPC: Exploring Overlap Strategies Using MPI Non-Blocking Communication by Yuntian Zheng, Jianping Wu

“…As high-performance computing (HPC) platforms continue to scale up, communication costs have become a critical bottleneck affecting overall application performance. …”
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D3QN-based collaborative offloading algorithm for vehicular networks assisted by digital twins by CHEN Geng, SONG Zhenghan, XIA Conghui, ZENG Qingtian

“…To address the challenges of highly dynamic topologies, task diversity, and low-latency constraints in vehicular edge computing, a D3QN-based collaborative offloading algorithm assisted by digital twin technology was proposed. …”
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Review of the Discrete-Ordinates Method for Particle Transport in Nuclear Energy by Yingchi Yu, Xin He, Maosong Cheng, Zhimin Dai

“…Recent advances are critically evaluated, with particular emphasis placed on advanced discretization techniques, high-performance computing implementations, and hybrid coupling strategies with MC, MOC method, and so on. …”
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Alzheimer’s Disease Prediction via Brain Structural-Functional Deep Fusing Network by Qiankun Zuo, Yanyan Shen, Ning Zhong, C. L. Philip Chen, Baiying Lei, Shuqiang Wang

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RETRACTED: Prediction of energy consumption of numerical control machine tools and analysis of key energy‐saving technologies by Han Qiang, Mohammad Asif Ikbal, Shaweta Khanna

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Assessing carbon footprint and performance of the Kalman filter track fitter in the CBM experiment by Grigory Kozlov, Grigory Kozlov, Ivan Kisel, Ivan Kisel, Ivan Kisel, Ivan Kisel

“…The algorithm is designed for efficient parallel execution on modern multicore and GPU architectures. We evaluate the performance and energy efficiency of the Kalman Filter-based fitting algorithm on both CPUs and GPUs. …”
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Emotion Recognition from rPPG via Physiologically Inspired Temporal Encoding and Attention-Based Curriculum Learning by Changmin Lee, Hyunwoo Lee, Mincheol Whang

“…These findings establish clear benchmarks for temporal-only rPPG emotion recognition and underscore the necessity of incorporating spatial or multimodal information to effectively capture nuanced emotional dimensions such as valence, guiding future research directions in affective computing.…”
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Reduced connection strength leads to enhancement of working memory capacity in cognitive training by Guiyang Lv, Tianyong Xu, Jinhang Li, Ping Zhu, Feiyan Chen, Dongping Yang, Guoguang He

“…The effects on WMC from the connection strength differences between the AMC and control groups are evaluated. The results show that the WMC of the control group is enhanced and achieved consistency with or even better than that the AMC group if the connection strength of the control group are weakened. …”
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Task migration with deadlines using machine learning-based dwell time prediction in vehicular micro clouds by Ziqi Zhou, Agon Memedi, Chunghan Lee, Seyhan Ucar, Onur Altintas, Falko Dressler

“…Edge computing is becoming ever more relevant to offload compute-heavy tasks in vehicular networks. …”
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Detecting Learning Behavior in Programming Assignments by Analyzing Versioned Repositories by John Chen, Serena Lau, Juho Leinonen, Valerio Terragni, Nasser Giacaman

“…We evaluated Polivr using anonymised repositories collected from undergraduate computing courses. …”
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RIS-Assisted CR-MEC Systems Using Deep Reinforcement Learning Approach by Pham Duy Thanh, Hoang Thi Huong Giang, Ic-Pyo Hong

“…Nowadays, running applications on devices is restricted by limited computational capability and battery capacity, which needs the aid of mobile edge computing (MEC). …”
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Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…Graphical and numerical evaluations confirm the model’s accuracy and suitability for spot market forecasting within hydro-DISCOM integration. …”
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Efficient human activity recognition on edge devices using DeepConv LSTM architectures by Haotian Zhou, Xiujun Zhang, Yu Feng, Tongda Zhang, Lijuan Xiong

“…The device’s memory usage was 29.1 KB, flash usage was 189.6 KB, and the model’s average inference time was 21 milliseconds, requiring approximately 0.01395 GOP, with a computational performance of around 0.664 GOPS. Even after quantization, the model maintained an accuracy of 97% and an F1 score of 97%, ensuring efficient utilization of computational resources. …”
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Temporal Decay Loss for Adaptive Log Anomaly Detection in Cloud Environments by Lelisa Adeba Jilcha, Deuk-Hun Kim, Jin Kwak

“…Log anomaly detection in cloud computing environments is essential for maintaining system reliability and security. …”
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5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method by Daisuke Hisano, Keigo Matsumoto, Yoshiaki Inoue, Yuko Hara, Kazuki Maruta, Yu Nakayama, Hiroshi Tatsukawa, Yuji Kawai, Yoshinori Shinohara, Hiroki Ikeda

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Seasonal and Spatial Dynamics of Surface Water Resources in the Tropical Semi-Arid Area of the Letaba Catchment: Insights from Google Earth Engine, Landscape Metrics, and Sentinel-... by Makgabo Johanna Mashala, Timothy Dube, Kingsley Kwabena Ayisi

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Characterizing the Real-Time Communication Performance of Virtual PLC in Industrial Edge Platform by Massimiliano Gaffurini, Dennis Brandao, Stefano Rinaldi, Alessandra Flammini, Emiliano Sisinni, Paolo Ferrari

“…Unlike traditional hardware-based PLCs, vPLCs operate within edge computing environments, leveraging lightweight virtualization to provide flexibility and support modern microservices architectures. …”
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SkelETT—Skeleton-to-Emotion Transfer Transformer by Pedro Victor Vieira Paiva, Josue Junior Guimaraes Ramos, Marina Gavrilova, Marco Antonio Garcia de Carvalho

“…Emotion recognition plays an essential role in human-computer interaction, spanning diverse domains from human-robot communication and virtual reality to mental health assessment and affective computing. …”
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Percutaneous Computed Tomography-Guided Cryoablation as a Treatment Option in Patients with Small Renal Masses: A 10 Year Experience in a Single Center by Luca Marinelli, Sara Mercogliano, Oscar Selvaggio, Giuseppe Carrieri, Raffaele Sorrentino, Paola Mangano, Gianluca Prencipe, Luca Macarini, Grazia Casavecchia, Matteo Gravina

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