Results 201 to 210 of about 611,418 (305)

Analysis of information relay processing in inter-vehicle communication: A novel visit

IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2012
Ahmed Soua, W. Ben-Ameur, H. Afifi
semanticscholar   +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

Improving Vehicle Connectivity Through a Novel Self-Organizing Network Mechanism. [PDF]

Sensors (Basel)
Tsai CS, Wen CK.
europepmc   +1 more source

Survey on Inter-Vehicle Communication Applications: Current Trends and Challenges

, 2013
M. S. Javadi, S. Habib, M. Hannan
semanticscholar   +1 more source

Evaluation of drones as a tool for multi‐species nest surveys on linear rights‐of‐way

Wildlife Society Bulletin, EarlyView.
This paper examines the use of drones with infrared cameras as a tool in the detection of bird nests on linear rights‐of‐way, in comparison to standard ground‐based nest surveys. Abstract The varying application of drone use in wildlife research has expanded in recent years. With the ability to utilize a variety of different sensors (e.g., infrared [IR]
Kirsten E. Pearson, Jared K. Swenson, Nick Bartok, Nathan Mayer, Karl Kosciuch, John D. Lloyd   +5 more
wiley   +1 more source

RG-SAPF: A Scheme for Cooperative Escorting of Underwater Moving Target by Multi-AUV Formation Systems Based on Rigidity Graph and Safe Artificial Potential Field. [PDF]

Sensors (Basel)
Pang W, Zhu D, Chen M, Xu W.
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

Emotionally Structured Interaction Networks and Consumer Perception of New Energy Vehicle Technology: A Behavioral Network Analysis of Online Brand Communities. [PDF]

Behav Sci (Basel)
Xu J, Liu C, Lu L.
europepmc   +1 more source

Fixed‐Time Zeroing Neural Dynamics for Adaptive Coordination of Multi‐Agent Systems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents an adaptive multi‐agent coordination (AMAC) strategy suitable for complex scenarios, which only requires information exchange between neighbouring robots. Unlike traditional multi‐agent coordination methods that are solved by neural dynamics, the proposed strategy displays greater flexibility, adaptability and scalability ...
Cheng Hua, Xinwei Cao, Jianfeng Li, Shuai Li   +3 more
wiley   +1 more source

Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning. [PDF]

Sci Rep
Liu Q, Ma Y.
europepmc   +1 more source