Results 91 to 100 of about 1,571,441 (262)

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

Machine Learning-Driven Edge Caching for Industry 5.0: A Survey of Collaborative and Inference-Enabled Techniques

IEEE Open Journal of the Communications Society
Industry 5.0 is transforming edge caching from a passive traffic offloading mechanism into an active enabler of distributed intelligence and real-time analytics.
Ritabrata Maiti, As Madhukumar, Tan Zheng Hui Ernest   +2 more
doaj   +1 more source

Deep Reinforcement Learning for Edge Caching with Mobility Prediction in Vehicular Networks. [PDF]

Sensors (Basel), 2023
Choi Y, Lim Y.
europepmc   +1 more source

Optimizing proactive content caching with mobility aware deep reinforcement & asynchronous federate learning in VEC

ICT Express
Edge caching in the Internet of Vehicles (IoV) can reduce backhaul strain and content access delay. However, due to the constant changes in vehicle requests, offloading applications to edge servers is crucial for efficiently anticipating and caching ...
Afsana Kabir Sinthia, Nosin Ibna Mahbub, Eui-Nam Huh   +2 more
doaj   +1 more source

Apex predators exploit advantageous snow conditions across hunting modes

Journal of Animal Ecology, EarlyView.
Advantageous snow conditions—in terms of snow depth and density—are among the most important features of the winter landscape for two apex predators, regardless of hunting strategy. In a warming climate, the knock‐on effects of a diminishing snowpack may reduce the hunting success of multiple large carnivore species.
Benjamin K. Sullender, Taylor R. Ganz, Ross Mower, Jessica D. Lundquist, Brian N. Kertson, Thomas M. Newsome, Aaron J. Wirsing, Laura R. Prugh   +7 more
wiley   +1 more source

What can lithics tell us about food production during the transition to farming? Exploring harvesting practices and cultural changes during the neolithic in Southwest Asia: a view from Qminas (north‐western Syria)

Archaeometry, EarlyView.
Abstract This study examines the continuity and change in harvesting practices between the Late Pre‐Pottery Neolithic B (LPPNB) and the Early Pottery Neolithic at Qminas, north‐western Levant, through a traceological analysis of flint sickles. By combining qualitative traceological analysis with quantitative functional approaches, we demonstrate that ...
Fiona Pichon, Osamu Maeda, Juan José Ibáñez Estévez, Patricia Anderson   +3 more
wiley   +1 more source

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

Assessing Mobility Among Inferred Elites Interred in Crypts 1–3 on Kom H at Tungul (Old Dongola), Sudan

Archaeometry, EarlyView.
ABSTRACT As the capital of Makuria, Tungul was a major sociopolitical center within medieval Nubia, being the seat of a bishopric and a monastic community. During the excavation of the Kom H monastery, three burial crypts (Crypts 1–3) were uncovered.
Robert J. Stark, Artur Obłuski, Robert Mahler   +2 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