FEATURES IN THE DEVELOPMENT OF INFORMATION SYSTEMS TO SMALL BUSINESSES by K. Shishmanov

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Resource Allocation on Low-Earth Orbit Edge Infrastructure: Taxonomy, Survey, and Research Challenges by Fabio Diniz Rossi, Paulo Silas Severo de Souza, Marcelo Caggiani Luizelli

“…Low Earth Orbit (LEO) Edge Computing integrates space technology with Edge Computing to enhance connectivity and reduce latency, addressing critical limitations of terrestrial infrastructures. …”
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Artificial Intelligence for Wireless Communications: The InSecTT Perspective by Ramiro Samano Robles, Gowhar Javanmardi, Christoph Pilz, Przemyslaw Kwapisiewicz, Mateusz Rzymowski, Lukasz Kulas, Luca Davoli, Laura Belli, Gianluigi Ferrari, Bernd-Ludwig Wenning, Bugra Gonca, R. Venkatesha Prasad, Ashutosh Simha, Markku Kiviranta, Ilkka Moilanen, Sean Robinson, Gennaro Cirillo, Mujdat Soyturk, Yavuz Selim Bostanci, Leander B. Hormann

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Edge-Deployed Band-Split Rotary Position Encoding Transformer for Ultra-Low-Signal-to-Noise-Ratio Unmanned Aerial Vehicle Speech Enhancement by Feifan Liu, Muying Li, Luming Guo, Hao Guo, Jie Cao, Wei Zhao, Jun Wang

“…DCUNet), a runtime memory footprint of under 500MB, a Real-Time Factor (RTF) of 0.325 (latency: 330.830 ms), and a power consumption of 6.536 W on an NVIDIA Jetson AGX Xavier, fulfilling real-time processing demands. This study delivers a validated lightweight solution, exemplified by its minimal computational overhead and real-time edge inference capability, for effective speech enhancement in complex UAV acoustic scenarios, including dynamic noise conditions. …”
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Next-Value Prediction of Beam Waists From Mixed Pitch Grating Using Simplified Transformer Model by Yu Dian Lim, Peng Zhao, Luca Guidoni, Jean-Pierre Likforman, Chuan Seng Tan

“…Then, we used a sequence of the current beam waist values, z-positions, and the computed mathematical indicators (features) to predict the next beam waist value (labels). …”
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Research on the cooperative offloading strategy of sensory data based on delay and energy constraints by Peiyan YUAN, Saike SHAO, Ran WEI, Junna ZHANG, Xiaoyan ZHAO

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Approach to keyword search over encrypted data in cloud by Peng ZHANG, Yan LI, Hai-lun LIN, Rong YANG, Qing-yun LIU

“…With the advent of cloud computing,large-scale data are being increasingly outsourced to the cloud.For the protection of data privacy,sensitive data has to be encrypted before outsourcing,which makes effective data utilization a very challenging task.Although traditional searchable encryption approaches allow users to search over encrypted data through keywords,they don’t capture any relevance of data files,so users have to spend much time on post-processing every retrieved file in order to find ones most matching their interest.Moreover,retrieving all files containing the queried keyword further incurs unnecessary network traffic,which is not accord with pay-as-you-use cloud paradigm.An approach to ranked keyword search over encrypted data in cloud is proposed.Ranked search greatly mitigate the user’s effort by returning the matching files in a ranked order,and also protects the data privacy by order-preserving encryption.Extensive experimental results demonstrate the efficiency.…”
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A node deployment and resource optimization method for CPDS based on cloud‐fog‐edge collaboration by Xiaoping Xiong, Geng Yang

“…In this article, fog computing is introduced into the computing network of the power distribution system, and a cloud‐fog‐edge collaborative computing architecture for intelligent power distribution networks is proposed. …”
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Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices by Tess Watt, Christos Chrysoulas, Peter J. Barclay, Brahim El Boudani, Grigorios Kalliatakis

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Design and analysis of quantum machine learning: a survey by Linshu Chen, Tao Li, Yuxiang Chen, Xiaoyan Chen, Marcin Wozniak, Neal Xiong, Wei Liang

“…However, with the exponential growth of data amount and the increase of model complexity, the processing efficiency of machine learning declines rapidly. …”
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Quantum Communication Systems: Vision, Protocols, Applications, and Challenges by Syed Rakib Hasan, Mostafa Zaman Chowdhury, Mohammad Sayem, Yeong Min Jang

“…This review article describes the fundamentals of quantum communication, vision, design goals, information processing, and protocols. Besides, quantum communication system model is also proposed here. …”
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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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ONLINE-SERVICES AND INFORMATION TECHNOLOGIES IN DISTANCE LEARNING by U. A. Vishniakou, A. P. Kovalev

“…The content of e-learning online services including intellectual technologies and cloud computing are done. As new one integration method for DL is Semantic Web and Web-service (SWWS) with knowledge representation support on ontology base and knowledge processing on agents support are representation.…”
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Unveiling the Dynamic Landscape of Digital Forensics: The Endless Pursuit by Muhammad Sharjeel Zareen, Baber Aslam, Shahzaib Tahir, Imran Rasheed, Fawad Khan

“…However, along with the positive advancements, the malicious use of computing technologies has become a serious concern. …”
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Joint Exploitation of Physical-Layer and Artificial Features for Privacy-Preserving Distributed Source Camera Identification by Hui Tian, Haibao Chen, Yuyan Zhao, Jiawei Zhang

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Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems by Mahzabeen Emu, Taufiq Rahman, Salimur Choudhury, Kai Salomaa

“…This approach leverages the unique computational advantages of quantum computing, particularly in processing complex temporal data, potentially leading to more accurate and efficient dynamic systems in vehicular platoon infrastructure. …”
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Vertical Electrolyte‐Gated Transistors: Structures, Materials, Integrations, and Applications by Bin Bao, Ting Zhang, Junlei Xie, Jin Wu, Gang He, Lang Jiang, Yanlin Song, Shouguo Wang

“…Benefiting from their unique device structures, a wealth of available component materials and integration strategies, vEGTs are finding their pathway toward diverse applications such as synaptic emulating, neuromorphic computing, and biological sensing. Herein, recent progress on the vEGTs is reviewed. …”
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Dynamic Edge Loading Balancing with Edge Node Activity Prediction and Accelerating the Model Convergence by Wen Chen, Sibin Liu, Yuxiao Yang, Wenjing Hu, Jinming Yu

“…In mobile edge computing networks, achieving effective load balancing across edge server nodes is essential for minimizing task processing latency. …”
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Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning by Kamran Hassanpouri Baesmat, Zeinab Farrokhi, Grzegorz Chmaj, Emma E. Regentova

“…We also introduced a processing step to ensure accurate predictions for holidays. …”
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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

“…First, we present a task migration algorithm supporting deadlines in vehicular edge computing. The algorithm is following the earliest deadline first model but in presence of dynamic processing resources, i.e, vehicles joining and leaving a VMC. …”
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