Implementing a Hybrid Quantum Neural Network for Wind Speed Forecasting: Insights from Quantum Simulator Experiences by Ying-Yi Hong, Jay Bhie D. Santos

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A Method for Detecting Small Slow Targets on Sea Surface Based on FC-MCNN by Qing Sun, Jing Zhao, Chunling Xue, Xueting Yang

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Cascaded Dual-Inpainting Network for Scene Text by Chunmei Liu

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A survey of models for automatic assessment of similarity of student's answer to the reference answer by Nadezhda S. Lagutina, Ksenia V. Lagutina

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Reliability and Quality of Complex Systems by D.N. Novomeisky, M.N. Piganov, E.T. Eskibaev

“…Purpose – Analysis and evaluation of methodological errors in the process of electrophysical processing of film resistors by high-frequency flare discharge, implemented according to a given algorithm. …”

Intelligent air traffic control using NLP-enhanced speech recognition and natural language generation by Amany M. Sarhan, Rawda Fathy, Hesham A. Ali

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High-Resolution FMCW Radar for Small UAV Detection Using GNU Software-Defined Radio by P. Janpangngern, P. Changnam, W. Charoensiri, S. Samroeng, J. Pakprom, C. Thongsopa, A. Intarapanich, T. Thosdeekoraphat, N. Santalunai, S. Santalunai

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Task distribution offloading algorithm of vehicle edge network based on DQN by Haitao ZHAO, Tangwei ZHANG, Yue CHEN, Houlin ZHAO, Hongbo ZHU

“…In order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierarchy process (AHP),so as to give different weights to the task processing rate to establish a relationship model.Secondly,by introducing edge computing based on DQN,the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.The performance evaluation results show that,compared with the Q-learning algorithm,the average task processing delay of the proposed method can effectively improve the task offload efficiency.…”
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Fog-Enabled Machine Learning Approaches for Weather Prediction in IoT Systems: A Case Study by Buket İşler, Şükrü Mustafa Kaya, Fahreddin Raşit Kılıç

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Feature-Centric Video Transmission and Analytics in Large-Scale Internet of Video Things by Hongan Wei, Yuxiang Liu, Kejian Hu, Liqun Lin, Youjia Chen, Tiesong Zhao, Wanjian Feng

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Preserving Big Data Privacy in Cloud Environments Based on Homomorphic Encryption and Distributed Clustering by Shatha A. Baker

“… Cloud computing has grown in popularity in recent years because to its efficiency, flexibility, scalability, and the services it provides for data storage and processing. …”
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NUDIF: A Non-Uniform Deployment Framework for Distributed Inference in Heterogeneous Edge Clusters by Peng Li, Chen Qing, Hao Liu

“…However, such approaches often lead to load imbalance and suboptimal resource utilization under concurrent batch processing scenarios. To address these challenges, we propose a non-uniform deployment inference framework (NUDIF), which achieves high-throughput distributed inference service by adapting to heterogeneous resources and balancing inter-stage processing capabilities. …”
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FoodSky: A food-oriented large language model that can pass the chef and dietetic examinations by Pengfei Zhou, Weiqing Min, Chaoran Fu, Ying Jin, Mingyu Huang, Xiangyang Li, Shuhuan Mei, Shuqiang Jiang

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Multi-Area, Multi-Service and Multi-Tier Edge-Cloud Continuum Planning by Anargyros J. Roumeliotis, Efstratios Myritzis, Evangelos Kosmatos, Konstantinos V. Katsaros, Angelos J. Amditis

“…The goal is to evaluate the regional deployment of the compute continuum, i.e., the type and number of processing devices, their pairing with a specific tier and task among different areas subject to processing, rate, and latency requirements. …”
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Ferroelectric-Based Optoelectronic Synapses for Visual Perception: From Materials to Systems by Yuqing Hu, Yixin Zhu, Xinli Chen, Qing Wan

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High-resolution phenomics dataset collected on a field-grown, EMS-mutagenized sorghum population evaluated in hot, arid conditions by Jeffrey Demieville, Brian Dilkes, Andrea L. Eveland, Duke Pauli

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Reconsidering big data security and privacy in cloud and mobile cloud systems by Lo'ai A. Tawalbeh, Gokay Saldamli

“…Secondly, we explore the use of P2P Cloud System (P2PCS) for big data processing and analytics. Thirdly, we propose an efficient hybrid mobile cloud computing model based on cloudlets concept and we apply this model to health care systems as a case study. …”
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Enhancing Cloud Resource Management Based on Intelligent System by Manal Fadhil Younis

“…Starting with designing a system based on a genetic algorithm (GA) as a computational tool to achieve the goal and plan a predictive request then depending on the round robin (RR) algorithm to allocate the requests for processing. …”
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Application of machine learning algorithms in economic analysis by Mohammad Sadegh SALEM

“…These tasks require high computational accuracy and large-scale data processing, making classical systems time-consuming and costly. …”
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Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-off Analysis of Cost and Utilization Under Different Load Conditions by Md. Rahinur Rahman, Mirza Mohd Shahriar Maswood

“…Despite its advantages, fog computing faces challenges due to the limited resources (CPU processing capacity, network bandwidth, memory, and power backup) of fog nodes. …”
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