Results 61 to 70 of about 24,763 (252)
Edge computing has emerged as a promising paradigm for addressing the latency, bandwidth, and scalability challenges associated with traditional cloud-centric architectures.
Hoa Tran-Dang, Dong-Seong Kim
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Computation Offloading Strategy in Mobile Edge Computing
Mobile phone applications have been rapidly growing and emerging with the Internet of Things (IoT) applications in augmented reality, virtual reality, and ultra-clear video due to the development of mobile Internet services in the last three decades ...
Jinfang Sheng+4 more
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This perspective article considers what computations optical computing can and should enable. Focusing upon free‐space optical computing, it argues that a codesign approach whereby materials, devices, architectures, and algorithms are simultaneously optimized is needed.
Prasad P. Iyer+6 more
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Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao+5 more
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ABSTRACT Introduction With the frequency and intensity of extreme heat events rising, occupational health and safety (OHS) personnel must be well‐informed about heat management solutions. Consequently, assessing the knowledge level and technical expertise of OHS personnel is essential for equipping workplaces to operate safely in hotter conditions ...
Emily J. Tetzlaff+4 more
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Stochastic Computation Offloading and Scheduling Based on Mobile Edge Computing
To improve the quality of service (QoS) for mobile users (MUs) and the quality of experience (QoE) of mobile devices (MDs), mobile edge computing (MEC) is a promising approach that offloads a part of the computing task from MDs to nearby MUs.
Xiao Zheng+4 more
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Edge computational task offloading scheme using reinforcement learning for IIoT scenario
In this paper, end devices are considered here as agent, which makes its decisions on whether the network will offload the computation tasks to the edge devices or not.
Md. Sajjad Hossain+3 more
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Abstract The introduction of artificial intelligence (AI) into education holds promise for supporting and augmenting teaching and learning‐related activities. Yet, despite its potential, there is limited empirical research on the use of AI in K‐12 settings exploring the pedagogical grounding, impact and implications of the technological solutions.
Paraskevi Topali+3 more
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Supporting or stifling? Experiences of beginning teachers working within the Early Career Framework
Abstract This study discusses the experiences of a group of new teachers in England since the introduction of the Early Career Framework (ECF), against the backdrop of the global teacher recruitment and retention crisis. The experiences of new teachers within the ECF are under‐researched.
Lorna Smith+2 more
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With the rapid development of mobile communication technologies and Internet of Things (IoT) devices, Multi-Access Edge Computing (MEC) has become one of the most potential technologies for wireless communication. In MEC systems, faster and more reliable
Zhongqiang Luo, Xiang Dai
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