Solving assignment problems via Quantum Computing: a case-study in train seating arrangement by Ilaria Gioda, Davide Caputo, Edoardo Fadda, Daniele Manerba, Blanca Silva Fernández, Roberto Tadei

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Advancing cloud security: Unveiling the protective potential of homomorphic secret sharing in secure cloud computing by Sijjad Ali, Shuaib Ahmed Wadho, Aun Yichiet, Ming Lee Gan, Chen Kang Lee

“…By using this feature, sensitive data is protected from disclosure or misuse while being processed. Therefore, original data confidentiality can be preserved when computing on encrypted shares. …”
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An assessment of mangrove forest in northwestern Mexico using the Google Earth Engine cloud computing platform. by Luis Valderrama-Landeros, Carlos Troche-Souza, José A Alcántara-Maya, Samuel Velázquez-Salazar, Berenice Vázquez-Balderas, Edgar Villeda-Chávez, María I Cruz-López, Rainer Ressl, Francisco Flores-Verdugo, Francisco Flores-de-Santiago

“…Bimonthly data of the Combined Mangrove Recognition Index (CMRI) from all available Sentinel-2 data were processed with the Google Earth Engine cloud computing platform. …”
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Task Offloading and Data Compression Collaboration Optimization for UAV Swarm-Enabled Mobile Edge Computing by Zhijuan Hu, Shuangyu Liu, Dongsheng Zhou, Chao Shen, Tingting Wang

“…To address this issue, we propose a UAV swarm-enabled MEC system that integrates data compression technology, in which the only swarm head UAV (USH) offloads the compressed computing tasks compressed by the UEs and partially distributes them to the swarm member UAV (USM) for collaborative processing. …”
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Resource Adaptive Automated Task Scheduling Using Deep Deterministic Policy Gradient in Fog Computing by Prashanth Choppara, S. Sudheer Mangalampalli

“…The rapidly increasing complexity of Internet of Things applications and the exponential growth in data generation pose significant challenges in terms of latency and network capacity constraints, especially in cloud computing. Fog computing carries have emerged as an effective solution by decentralizing data processing, reducing latency, and bringing computation closer to the data sources. …”
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Application of 5G + edge computing technology in intelligent monitoring construction of electricity business office by Wei Cui, Junwei Li, Wei Ge, Bo Zhang, Tianwei Liu

“…This paper also proposes an edge scheduling algorithm based on game theory, which enables each edge device to choose the optimal data processing task according to its own utility function through a non-cooperative game model, realizing the optimization of the efficacy and accuracy of data processing. …”
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Effects of AlOx Sub‐Oxide Layer on Conductance Training of Passive Memristor for Neuromorphic Computing by Qin Xie, Xinqiang Pan, Wenbo Luo, Yao Shuai, Yi Wang, Junde Tong, Zebin Zhao, Chuangui Wu, Wanli Zhang

“…Abstract Memristors are recognized as crucial devices for the hardware implementation of neuromorphic computing. The conductance training process of memristors has a direct impact on the performance of neuromorphic computing. …”
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MICROSERVICE ARCHITECTURE FOR BUILDING HIGH-AVAILABILITY DISTRIBUTED AUTOMATED COMPUTING SYSTEM IN A CLOUD INFRASTRUCTURE by Denis Zolotariov

“…As a result of the study, it was found that the system infrastructure should consist of: fault-tolerant interservice transport, a high-availability computing microservice, and communication microservices with end customers, which save or process the results. …”
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Enhancing 5G Vehicular Edge Computing Efficiency with the Hungarian Algorithm for Optimal Task Offloading by Mohamed Kamel Benbraika, Okba Kraa, Yassine Himeur, Khaled Telli, Shadi Atalla, Wathiq Mansoor

“…However, these applications require significant computational resources, which AVs often lack. To address this limitation, Vehicular Edge Computing (VEC) has emerged as a promising solution, allowing AVs to offload computational tasks to nearby vehicles and edge servers. …”
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Coherent all Optical Reservoir Computing for Equalization of Impairments in Coherent Fiber Optic Communication Systems by Shiva Kumar, Mahmoud M. T. Maghrabi, Mohamed H. Bakr, Toshihiko Hirooka, Masataka Nakazawa

“…Reservoir computing (RC) is a bio-inspired framework suited for temporal data processing. …”
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Reconfigurable and Broadband Analog Computing With Terahertz Metasurface Based on Electrical Tuning of Vanadium-Dioxide Resonators by Mohammad Ali Shameli, Mirko Magarotto, Antonio-D Capobianco, Luca Schenato, Marco Santagiustina, Maria Antonietta Vincenti, Domenico de Ceglia

“…A architecture of reconfigurable analog computing devices is proposed for image processing and advanced wireless communication systems, such as those required for self-driving cars. …”
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Mathematical modeling of fluid movement inside the eyeball during intravitreal injection by D. V. Lipatov, S. A. Skladchikov, N. P. Savenkova, V. V. Novoderezkin, Ph. I. Vysikailo

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Patient Health Monitoring based on Cloud Computing using the Message Queuing Telemetry Transport Protocol by Laith A. Abdul-Rahaim, Shahad W.Jassim

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Multi objective reinforcement learning driven task offloading algorithm for satellite edge computing networks by Sai Xu, Jun Liu, Jiawei Tang, Xiangjun Liu, Zhi Li

“…Abstract Satellite edge computing (SEC) has become a revolutionary paradigm to improve the quality of service, reduce the pressure on satellite-terrestrial backhaul bandwidth and reduce the average response delay of task requests. …”
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Efficient implementations of a Born Series for computing photoacoustic field from a collection of erythrocytes by Ujjal Mandal, Navroop Singh, Kartikay Singh, Vinit Nana Hagone, Jagpreet Singh, Anshu S. Anand, Ben T. Cox, Ratan K. Saha

“…Numerical implementation of the Born series procedure is a computationally expensive task. Various computational strategies have been adopted and tested in this work for fast execution of the convergent Born series (CBS) algorithm for solving inhomogeneous Helmholtz equation in the context of biomedical photoacoustics (PAs). …”
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Research on computing resource allocation strategy for cloud radio access network based on demand forecasting by Zhipeng WANG, Bin CAO, Qinyu ZHANG

“…Cloud radio access network(CRAN) is a new network architecture commonly used in 5G network.It uses network function virtualization and software defined network technology to support end-to-end network slicing so that access network can share the same infrastructure.A computing resource allocation scheme based on virtualized network function(VNF) computing resource demand forecasting was proposed for cloud wireless network supporting end-to-end network slicing.Data-driven operation and maintenance framework established by the control plane collects network information and performs data processing to predict the demand for computing traffic in a period of time,which used the discrete particle swarm optimization based on best-fit-decreasing to dynamically and dynamically allocate CRAN computing resources,reducing the migration energy consumption and migration times of VNF.…”
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Architecture and model design of operational management system for computing force network based on intent enhancement by WANG Xiaohan, ZHAO Peng, TANG Guohua, WANG Chen, YUAN Xiangyang

“…Facing the application of intent-driven technology in computing force network, this paper designs the architecture of computing force network operation management system based on intent enhancement, gives the complete intent processing flow. …”
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A Prototyping and Evaluation of Hospital Dashboard through End-User Computing Satisfaction Model (EUCS) by Saeed Rouhani, Shooka Zamenian, Sayna Rotbie

“…In today's competitive environment, one of the new tools in the field ofinformation technology is business or organizational dashboards that are as abackup in the process of strategic management of organizations. …”
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Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method by ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming

“…The algorithm was designed by initially incorporating batch normalization techniques to optimize the training process of deep neural networks. Subsequently, optimization was performed using the Quasi-Newton method to effectively approximate the optimal solution. …”
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Fuzzy clustering based scheduling algorithm for minimizing the tasks completion time in cloud computing environment by Nawaf R. Alharbe

“…Abstract This paper explores the complexity of project planning in a cloud computing environment and recognizes the challenges associated with distributed resources, heterogeneity, and dynamic changes in workloads. …”
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