Results 81 to 90 of about 3,766 (244)

Vision language models for bridge inspections: A review of applications in image‐based damage documentation

Structural Concrete, EarlyView.
Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik, Ulas Bagci, Sylvia Kessler   +2 more
wiley   +1 more source

A Deep Learning Cache Framework for Privacy Security on Heterogeneous IoT Networks

IEEE Access
Caching technology is essential for enhancing content transmission rates and reducing data transmission delays in heterogeneous networks, making it a crucial component of the Internet of Things (IoT).
Jian Li, Meng Feng, Shuai Li
doaj   +1 more source

Mobility-Aware Coded Probabilistic Caching Scheme for MEC-Enabled Small Cell Networks

IEEE Access, 2017
Caching on the edge has been recognized as an effective solution to tackle the backhaul constraint of network densification. However, most related works ignored user mobility in wireless networks, which is unreasonable under the background of network ...
Xinwei Liu, Jiaxin Zhang, Xing Zhang, Wenbo Wang   +3 more
doaj   +1 more source

Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

Wildlife Biology, EarlyView.
Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh, Scott Michael Brainerd, Olivier Devineau, Morten Odden, Torfinn Jahren   +4 more
wiley   +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

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 collaborative caching strategy in contentcentric networking

MATEC Web of Conferences, 2018
Content-centric Networking (CCN) is one of the most promising network architectures for the future Internet. In-network caching is an attractive feature of CCN, however, the existing research does not consider the off-path nodes, or gives a large ...
Hu Qing, Li Chengming, Hasan Touhidul, Li Chengjun, Jiang Qingshan   +4 more
doaj   +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

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

Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices [PDF]

PeerJ Computer Science
Named Data Networking (NDN) has emerged as a promising network architecture for content delivery in edge infrastructures, primarily due to its name-based routing and integrated in-network caching.
Firdous Qaiser, Mudassar Hussain, Abdul Ahad, Ivan Miguel Pires   +3 more
doaj   +2 more sources