Processivity and coupling in messenger RNA transcription. by Stuart Aitken, Marie-Cécile Robert, Ross D Alexander, Igor Goryanin, Edouard Bertrand, Jean D Beggs

“…These processes include elongation, which has a minimum time for completion and processing that is not captured in the model.…”
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LEVERAGING AI TO REVOLUTIONIZE BUSINESS PROCESSES by Adina-Georgeta CREȚAN

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An FPGA-Based Quantum Computing Emulation Framework Based on Serial-Parallel Architecture by Y. H. Lee, M. Khalil-Hani, M. N. Marsono

“…Hardware emulation of quantum systems can mimic more efficiently the parallel behaviour of quantum computations, thus allowing higher processing speed-up than software simulations. …”
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Research on asynchronous robust federated learning method in vehicle computing power network by YIN Hongbo, WANG Shuai, ZHANG Ke, ZHANG Yin

“…The synchronous training mechanism of traditional federated learning was not suitable for dynamic vehicle computing power network scenarios, and lacked effective detection mechanisms under the threat of malicious vehicle attacks. …”
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Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review by James C. L. Chow

“…Medical decision-making is increasingly integrating quantum computing (QC) and machine learning (ML) to analyze complex datasets, improve diagnostics, and enable personalized treatments. …”
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A Microgrid Security Defense Method Based on Cooperation in an Edge-Computing Environment by Jian Shang, Runmin Guan, Changlu Shen

“…Aiming at the problems of high delay and vulnerable to network attack in the traditional microgrid centralized architecture, a collaborative microgrid security defense method in the edge-computing environment is proposed. First, we build the edge-computing framework for microgrid, deploy the edge-computing server near the equipment terminal to improve the data processing efficiency, and deploy the blockchain in the edge server to ensure the reliability of the system. …”
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Computing mutual similarity of 3D human faces in nearly linear time. by Radek Ošlejšek, Petra Urbanová, Jiří Sochor

“…While the algorithms for automated registration (geometrical alignment) and similarity measurement of two facial scans are well-known and used in practice, their direct application for batch processing is limited due to computational requirements. …”
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Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction by Kuo-Yang Huang, Ying-Lin Hsu, Che-Liang Chung, Huang-Chi Chen, Ming-Hwarng Horng, Ching-Hsiung Lin, Ching-Sen Liu, Jia-Lang Xu

“…Abstract The advancement of the Internet of Medical Things (IoMT) has revolutionized data acquisition and processing in critical care settings. Given the pivotal role of ventilators, accurately predicting extubation outcomes is essential to optimize patient care. …”
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Modeling and Performance Analysis of Task Offloading of Heterogeneous Mobile Edge Computing Networks by Wenwang Li, Haohao Zhou

“…Mobile edge computing architecture (MEC) can provide users with low latency services by integrating computing, storage and processing capabilities near users and data sources. …”
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Versatile and Robust Reservoir Computing with PWM‐Driven Heterogenous R–C Circuits by Zelin Ma, Huasen Yi, Ziping Zheng, Zhanyi Chen, Weicheng Liu, Yibing Chen, Bojun Cheng, Chang Cai, Shusheng Pan, Jun Ge

“…Abstract Physical reservoir computing (PRC) holds great promise for low‐latency, energy‐efficient information processing, yet current implementations often suffer from limited flexibility, adaptability, and environmental stability. …”
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Refined Judgment of Urban Traffic State Based on Machine Learning and Edge Computing by Lijuan Liu

“…Service response covers the basic needs of real-time processing industry, intelligent applications, and security and privacy protection. …”
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Research on heterogeneous radio access and resource allocation algorithm in vehicular fog computing by Kai XIONG, Supeng LENG, Ke ZHANG, Hao LIU

“…With the development of intelligent transportation and the constant emergence of new vehicular on-board applications,such as automatic driving,intelligent vehicular interaction and safety driving.It is difficult for an independent vehicle to run a wide variety of applications with a large number of computing needs and time delay needs relying on its own limited computing resources.By distributing computing tasks in devices on the edge of the network,fog computing applies virtualization technology,distributed computing technology and parallel computing technology to enable users to dynamically obtain computing power,storage space and other services on demand.Applying fog computing architecture to Internet of vehicles can effectively alleviate the contradiction between the large computing-low delay demands and limited vehicular resources.By analyzing the channel capacity of vehicle-to-vehicle communication,vehicle-infrastructure communication and vehicle-time-delay tolerant network communication,an optimization model of heterogeneous access to multi-service resources for the Internet of vehicles was established,and various vehicle-to-fog resources were jointly dispatched to realize efficient processing of intelligent transportation applications.The simulation results show that the proposed reinforcement learning algorithm can effectively deal with the resource allocation in the heterogeneous vehicular fog architecture.…”
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Dynamic task allocation in fog computing using enhanced fuzzy logic approaches by Wanying Jin, Amin Rezaeipanah

“…Abstract Fog computing extends cloud services to the edge of the network, enabling low-latency processing and improved resource utilization, which are crucial for real-time Internet of Things (IoT) applications. …”
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Parallel Sort Implementation and Evaluation in a Dataflow-Based Polymorphic Computing Architecture by David Hentrich, Erdal Oruklu, Jafar Saniie

“…Finally, a comparative study of the odd–even sort algorithm in several configurations of the polymorphic computing architecture is presented. The results show that scaling up the number of processing cores in the polymorphic architecture to the maximum amount of instantaneously exploitable parallelism improves the speed of the sort algorithms. …”
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POTMEC: A Novel Power Optimization Technique for Mobile Edge Computing Networks by Tamilarasan Ananth Kumar, Rajendirane Rajmohan, Sunday Adeola Ajagbe, Oluwatobi Akinlade, Matthew Olusegun Adigun

“…This paper introduces POTMEC, a power optimization framework that combines a channel-aware adaptive power allocator using real-time SNR measurements, a MATLAB-trained RL model for joint offloading decisions and a decaying step-size algorithm guaranteeing convergence. Computational offloading is a productive technique to overcome mobile battery life issues by processing a few parts of the mobile application on the cloud. …”
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READINESS OF THE POSTGRADUATES ON THE UTILIZATION OF CLOUD COMPUTING FOR LEARNING IN UNIVERSITIES IN KWARA STATE, NIGERIA by Gboyega Ayodeji Aladesusi

“…It is a subscription- based service in which learners and the general users have access to vast number of services such as storage, space, processing and networking resources. However, despite the numerous benefits of cloud computing for learning, there is need for proper awareness and reorientation of Postgraduates towards the use of cloud computing for learning. …”
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Consideration and Evaluation of Network Location and Communication Protocols Utilizing HTTP for Edge Computing by Li Yanzhi, Midori Sugaya

“…In recent years, Edge Computing has gained attention to alleviate the concentration of traffic in the cloud by processing large amounts of data on Edge servers closer to the data source. …”
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Mixed‐Dimensional Floating Gate Phototransistors for Mixed‐Modal In‐Sensor Reservoir Computing by Weilun Ouyang, Qirui Zhang, Jiangang Chen, Xiao Luo, Xuemei Wang, Yingying Chen, Fan Yang, Qi Nie, Qing Liu, Fucai Liu

“…Abstract Novel neuromorphic devices constructed from low‐dimensional materials have demonstrated significant potential in visual perception and information processing. Colloidal quantum dots (QDs) exhibit strong light absorption and tunable band gaps, while 2D materials provide smooth interfaces and channels with superior charge carrier mobility. …”
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Advancing civil engineering: The transformative impact of neuromorphic computing on infrastructure resilience and sustainability by Ali Akbar Firoozi, Ali Asghar Firoozi, Yasser Alashker, Safeer Ahmad

“…Drawing inspiration from the human brain's processing capabilities, neuromorphic computing has been demonstrated to significantly enhance the efficiency of real-time data analysis, learning, and prediction of structural integrity. …”
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Smart Edge Computing Framework for Real-Time Brinjal Harvest Decision Optimization by T. Tamilarasi, P. Muthulakshmi, Seyed-Hassan Miraei Ashtiani

“…The BHDS provides an efficient, cost-effective solution for automating harvesting decisions, minimizing manual data processing, reducing computational overhead, and maintaining high precision and operational efficiency.…”
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