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Edge AI: A survey DOI

Raghubir Singh, Sukhpal Singh Gill

Internet of Things and Cyber-Physical Systems, Journal Year: 2023, Volume and Issue: 3, P. 71 - 92

Published: Jan. 1, 2023

Artificial Intelligence (AI) at the edge is utilization of AI in real-world devices. Edge refers to practice doing computations near users network's edge, instead centralised location like a cloud service provider's data centre. With latest innovations efficiency, proliferation Internet Things (IoT) devices, and rise computing, potential has now been unlocked. This study provides thorough analysis approaches capabilities as they pertain or AI. Further, detailed survey computing its paradigms including transition presented explore background each variant proposed for implementing Computing. Furthermore, we discussed approach deploying algorithms models on which are typically resource-constrained devices located network. We also technology used various modern IoT applications, autonomous vehicles, smart homes, industrial automation, healthcare, surveillance. Moreover, discussion leveraging machine learning optimized environments presented. Finally, important open challenges research directions field have identified investigated. hope that this article will serve common goal future blueprint unite stakeholders facilitates accelerate development

Language: Английский

Citations

162

Reducing communication overhead in the IoT-edge-cloud continuum: A survey on protocols and data reduction strategies DOI

Dora Kreković,

Petar Krivić,

Ivana Podnar Žarko

et al.

Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101553 - 101553

Published: March 1, 2025

Language: Английский

Citations

AFOX: a new adaptive nature-inspired optimization algorithm DOI

Hosam ALRahhal,

Razan Jamous

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(12), P. 15523 - 15566

Published: July 10, 2023

Language: Английский

Citations

AI and Computing Horizons: Cloud and Edge in the Modern Era DOI

Nasif Fahmid Prangon,

Jie Wu

Journal of Sensor and Actuator Networks, Journal Year: 2024, Volume and Issue: 13(4), P. 44 - 44

Published: Aug. 9, 2024

Harnessing remote computation power over the Internet without need for expensive hardware and making costly services available to mass users at a marginal cost gave birth concept of cloud computing. This survey provides concise overview growing confluence computing, edge intelligence, AI, with focus on their revolutionary impact Things (IoT). The starts fundamental introduction overviewing its key parts offered by different service providers. We then discuss how AI is improving capabilities through indigenous apps creating smarter cloud. in one popular paradigms called Edge Edge. implementation devices transforming IoT networks pulling cognitive processing closer where data originates, efficiency response. also major providers offerings within ecosystem respective use cases. Finally, this research looks ahead new trends future scopes that are now becoming possible cloud, IoT. purpose study demystify including synergistic role taking technologies heights.

Language: Английский

Citations

Urban Change Detection from Satellite Images: Leveraging Edge AI for Advanced Insights DOI

Meriem Baziz,

Anfal Yousra Boucetta,

Leila Hamdad

et al.

Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 182 - 201

Published: Jan. 1, 2025

Language: Английский

Citations

Trends, Challenges and New Frontiers of Artificial Intelligence DOI

Parimal Pal Chaudhuri,

Adip Dutta,

Somshubhro Pal Choudhury

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

Navigating the Divide: Balancing AI’s Optimal Solution with the Appropriate Solution in Chinese Construction Management DOI

Qi Wu,

Menghao Xue,

Bowen Lu

et al.

Published: April 17, 2025

While Artificial Intelligence (AI) offers powerful tools for optimizing construction processes, its effective integration hinges on navigating the gap between algorithmic “optimality” and practical “appropriateness”. Focusing China’s industry, a critical context AI deployment, this research explores managerial decision-making processes involved in balancing these two facets. Through qualitative methodology involving 15 expert interviews across diverse organizational types (SOEs, private, consultancy) thematic analysis incorporating constant comparison, study elucidates complex interplay recommendations human judgment. Key findings identify five interconnected themes influencing balance: Decision Balance & Human Adjustment, Data Technology Challenges, Human-AI Collaboration Trust, External Constraints Contextual Factors, Sector-Specific Dynamics. The highlights proactive role of managers as “adaptive integrators” rather than passive users. Extending existing literature, contributes theoretically by challenging simplistic views optimality, refining human-AI interaction concepts, proposing an empirically grounded Adaptive Interaction Framework that explicitly incorporates contextual modulators interpretation. hold significant implications developing more tools, targeted training programs, supportive cultures, nuanced policy guidelines to foster responsible productive analogous operational fields.

Language: Английский

Citations

AI-Driven Optimization of Air-Conditioning Systems in Legacy Buildings: Evaluating Machine Learning Models for Enhanced Energy Efficiency DOI

Siti Nur Ashakirin Mohd Nashruddin, Faridah Hani Mohamed Salleh, Rosnafisah Sulaiman

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112839 - 112839

Published: May 1, 2025

Language: Английский

Citations

Simulation and forecasting of fishery weather based on statistical machine learning DOI

Xueqian Fu, Chunyu Zhang, Fuhao Chang

et al.

Information Processing in Agriculture, Journal Year: 2023, Volume and Issue: 11(1), P. 127 - 142

Published: May 19, 2023

As the new generation of artificial intelligence (AI) continues to evolve, weather big data and statistical machine learning (SML) technologies complement each other are deeply integrated significantly improve processing forecasting accuracy fishery weather. Accurate services play a crucial role in production, serving as great safeguard for economic benefits personal safety, enabling fishermen carry out production better, contributing sustainable development industry. The objective this paper is offer an understanding present state research SML technology simulating Specifically, we analyze current technical features summarize applications simulation weather, which mainly include three aspects: scenario generation, forecasting, extreme warning. We also illustrate main means principles technology. Finally, most advanced fields provide outlook on their application value field

Language: Английский

Citations

Artificial Intelligence Applications in Smart Healthcare: A Survey DOI

Xian Gao, Peixiong He,

Yi Zhou

et al.

Future Internet, Journal Year: 2024, Volume and Issue: 16(9), P. 308 - 308

Published: Aug. 27, 2024

The rapid development of AI technology in recent years has led to its widespread use daily life, where it plays an increasingly important role. In healthcare, been integrated into the field develop new domain smart healthcare. opportunities and challenges coexist. This article provides a comprehensive overview past developments progress this area. First, we summarize definition characteristics Second, explore that brings healthcare from macro perspective. Third, categorize specific applications ten domains discuss their technological foundations individually. Finally, identify key these face existing solutions for each.

Language: Английский

Citations