Exploring Computing Paradigms for Electric Vehicles: From Cloud to Edge Intelligence, Challenges and Future Directions

World Electric Vehicle Journal, Journal Year: 2024, Volume and Issue: 15(2), P. 39 - 39

Published: Jan. 26, 2024

Electric vehicles are widely adopted globally as a sustainable mode of transportation. With the increased availability onboard computation and communication capabilities, moving towards automated driving intelligent transportation systems. The adaption technologies such IoT, edge intelligence, 5G, blockchain in vehicle architecture has possibilities efficient In this article, we present comprehensive study analysis computing paradigm, explaining elements AI. Furthermore, discussed intelligence approach for deploying AI algorithms models on devices, which typically resource-constrained devices located at network. It mentions advantages its use cases smart electric vehicles. also discusses challenges opportunities provides in-depth optimizing intelligence. Finally, it sheds some light research roadmap by dividing efforts into topology, content, service segments, model adaptation, framework design, processor acceleration, all stand to gain from technologies. Investigating incorporation important technologies, issues, opportunities, Roadmap will be valuable resource community engaged

Language: Английский

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Reinforcement Learning Algorithms and Applications in Healthcare and Robotics: A Comprehensive and Systematic Review

Sensors, Journal Year: 2024, Volume and Issue: 24(8), P. 2461 - 2461

Published: April 11, 2024

Reinforcement learning (RL) has emerged as a dynamic and transformative paradigm in artificial intelligence, offering the promise of intelligent decision-making complex environments. This unique feature enables RL to address sequential problems with simultaneous sampling, evaluation, feedback. As result, techniques have become suitable candidates for developing powerful solutions various domains. In this study, we present comprehensive systematic review algorithms applications. commences an exploration foundations proceeds examine each algorithm detail, concluding comparative analysis based on several criteria. then extends two key applications RL: robotics healthcare. manipulation, enhances precision adaptability tasks such object grasping autonomous learning. healthcare, turns its focus realm cell growth problems, clarifying how provided data-driven approach optimizing cultures development therapeutic solutions. offers overview, shedding light evolving landscape potential diverse yet interconnected fields.

Language: Английский

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An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing

Engineering Optimization, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 47

Published: Jan. 3, 2025

Language: Английский

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Applications of Artificial Intelligence, Deep Learning, and Machine Learning to Support the Analysis of Microscopic Images of Cells and Tissues

Journal of Imaging, Journal Year: 2025, Volume and Issue: 11(2), P. 59 - 59

Published: Feb. 15, 2025

Artificial intelligence (AI) transforms image data analysis across many biomedical fields, such as cell biology, radiology, pathology, cancer and immunology, with object detection, feature extraction, classification, segmentation applications. Advancements in deep learning (DL) research have been a critical factor advancing computer techniques for mining. A significant improvement the accuracy of detection algorithms has achieved result emergence open-source software innovative neural network architectures. Automated now enables extraction quantifiable cellular spatial features from microscope images cells tissues, providing insights into organization various diseases. This review aims to examine latest AI DL mining microscopy images, aid biologists who less background knowledge machine (ML), incorporate ML models focus images.

Language: Английский

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Enhancing hexapod robot mobility on challenging terrains: Optimizing CPG-generated gait with reinforcement learning

Neurocomputing, Journal Year: 2025, Volume and Issue: unknown, P. 129328 - 129328

Published: Jan. 1, 2025

Language: Английский

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Safety-efficiency integrated assembly: The next-stage adaptive task allocation and planning framework for human–robot collaboration

Robotics and Computer-Integrated Manufacturing, Journal Year: 2025, Volume and Issue: 94, P. 102942 - 102942

Published: Jan. 7, 2025

Language: Английский

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A modified dueling DQN algorithm for robot path planning incorporating priority experience replay and artificial potential fields

Applied Intelligence, Journal Year: 2025, Volume and Issue: 55(6)

Published: Jan. 22, 2025

Language: Английский

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A review of energy storage systems for facilitating large-scale EV charger integration in electric power grid

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 112, P. 115496 - 115496

Published: Jan. 29, 2025

Language: Английский

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A novel multi-objective optimization based multi-agent deep reinforcement learning approach for microgrid resources planning

Applied Energy, Journal Year: 2023, Volume and Issue: 353, P. 122029 - 122029

Published: Oct. 9, 2023

Language: Английский

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Revolutionizing Healthcare Platforms: The Impact of AI on Patient Engagement and Treatment Efficacy

International Journal of Science and Research (IJSR), Journal Year: 2024, Volume and Issue: 13(2), P. 273 - 280

Published: Feb. 5, 2024

This paper explores the evolving landscape of patient engagement in healthcare, emphasizing pivotal role artificial intelligence (AI). It delves into historical context -provider dynamics, shifting from a predominantly authoritative approach to more collaborative and tech -driven model. The highlights impact digital technologies like health apps, AIdriven chatbots, virtual assistants personalizing education, improving treatment adherence, enhancing overall care. Additionally, it examines various applications AI diagnostics personalized administrative efficiency, underscoring potential revolutionize healthcare delivery engagement.

Language: Английский

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