Results 121 to 130 of about 3,066 (281)

Edge Caching Based on Collaborative Filtering for Heterogeneous ICN-IoT Applications. [PDF]

Sensors (Basel), 2021
Gupta D, Rani S, Ahmed SH, Verma S, Ijaz MF, Shafi J.   +5 more
europepmc   +1 more source

Multi‐Vine Disease Prediction in a Field Test Spanning Whole Growth Season at Wine‐Industrial Site (McLaren Vale)

Artificial Intelligence for Engineering, EarlyView.
Overall, the findings provide reliable evidence for block‐level disease early warning, inspection prioritisation, and spray decision‐making, helping to reduce unnecessary inputs, lower environmental burdens, and improve the resilience and sustainability of vineyard production systems.
Shu Liang, Nguyen Van Duc Long, Mst Irin Parvin, Philip Kwong, Vinay Pagay, Maria Maglieri, Steve Maglieri, Andrew Godfrey, Harpinder Sandhu, Kartheek Munigoti, Nicola Sasanelli, Pieter van Schalkwyk, Freya Richardson, Bhola Paudel, Pramod Gautam, Kashif Khaqan, Volker Hessel   +16 more
wiley   +1 more source

Edge Caching with Real-Time Guarantees

CoRR, 2019
In recent years, optimization of the success transmission probability in wireless cache-enabled networks has been studied extensively. However, few works have concerned about the real-time performance of the cache-enabled networks. In this paper, we investigate the performance of the cache-enabled with real-time guarantees by adopting the age of ...
Le Yang 0010, Yi Zhong 0001, Fu-Chun Zheng, Shi Jin 0002   +3 more
openaire   +2 more sources

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

A knowledge graph-based reinforcement learning approach for cooperative caching in MEC-enabled heterogeneous networks

Digital Communications and Networks
Existing wireless networks are flooded with video data transmissions, and the demand for high-speed and low-latency video services continues to surge. This has brought with it challenges to networks in the form of congestion as well as the need for more ...
Dan Wang, Yalu Bai, Bin Song
doaj   +1 more source

Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework. [PDF]

Comput Intell Neurosci, 2022
Hasan T, Ahmad F, Rizwan M, Alshammari N, Alanazi SA, Hussain I, Naseem S.   +6 more
europepmc   +1 more source

Boosting Embodied Visual Localisation Through Multi‐Granular Semantics and Multi‐Robot Consensus

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Achieving high accuracy and synergy remains extremely difficult for multi‐robot embodied visual localisation, which suffers from persistent real‐world challenges such as viewpoint ambiguity, appearance variation and dynamic occlusion. Conventional optimisation‐based methods often lead to incorrect feature matching without domain adaptation ...
Wenshuai Wang, Shiyu Liu, Peifeng Jiang, Hong Liu, Runwei Ding   +4 more
wiley   +1 more source

Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM [PDF]

Edge caching is an emerging technology that empowers caching units at edge nodes, allowing users to fetch contents of interest that have been pre-cached at the edge nodes.
Wu, Q, Letaief, KB, Fan, P, Wang, K, Li, X, Cheng, N   +5 more
core   +1 more source

Application of Deep Learning in Virtual Power Plants—A Review

Energy Internet, EarlyView.
ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu, Zezhen Zhang, Yang Gao, Xiao Hu, Ying Cai, Yunqi Wang, Qin Wang, Qian Ai   +7 more
wiley   +1 more source

Blockchain Based Decentralized and Proactive Caching Strategy in Mobile Edge Computing Environment

Sensors
In the mobile edge computing (MEC) environment, the edge caching can provide the timely data response service for the intelligent scenarios. However, due to the limited storage capacity of edge nodes and the malicious node behavior, the question of how ...
Jingpan Bai, Silei Zhu, Houling Ji
doaj   +1 more source