Results 151 to 160 of about 12,702 (258)

Optimal spectrum granularity for spectrally-efficient elastic optical networks. [PDF]

Sci Rep
Ujjwal U, Petale S, Thangaraj J.
europepmc   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Time aware cyclic queuing forwarding traffic scheduling algorithm considering reallocation and priority sorting (RPS-TACQF). [PDF]

Sci Rep
Shen Y, Chen X, Ma X.
europepmc   +1 more source

Modernizing environmental data management for ecological research, management, and conservation at regional scales

Wildlife Society Bulletin, EarlyView.
We developed a web GIS system that delivers geospatial data for Wyoming and the Greater Yellowstone Ecosystem (GYE) using cloud‐optimized formats and open‐source tools to support regional ecological research and management. Using pronghorn as an example, we combined observed locations with environmental covariates from our geospatial library to map ...
Jessie S. Shapiro, Jason D. Carlisle, Shannon E. Albeke, Gabriel M. Barrile, Benjamin S. Robb, Jerod A. Merkle   +5 more
wiley   +1 more source

Joint Optimization of Time Slot and Power Allocation in Underwater Acoustic Communication Networks. [PDF]

Sensors (Basel)
Geng X, Hu Y.
europepmc   +1 more source

Research on hybrid cloud resource scheduling optimization algorithm based on EMPA-ASA. [PDF]

PLoS One
Zhang Z, Gao J, Liu R, Tao Q.
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Editorial to the Special Issue "Recent Advances in Optical Wireless Communications". [PDF]

Sensors (Basel)
Genoves Guzman B, Morales Céspedes M.
europepmc   +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

Semantic Communication Based on Slot Attention for MIMO Transmission in 6G Smart Factories. [PDF]

Sensors (Basel)
Chen N, Lin G, Jian R, Wang Y, Fu M, Wang J, Sun L, Li W, Urakami T, Okada M, Shen B, Wang Q, Yu C, Chen F, Shangguan X.   +14 more
europepmc   +1 more source