Results 221 to 230 of about 3,065 (300)
Non-Uniform Deployment of LWSN for Automated Railway Track Fastener Maintenance Robot and GA-LEACH Optimization. [PDF]
Shen Y, Meng J.
europepmc +1 more source
Chemical dehydration‐induced ultrafast clearing method for human tissues
Three‐dimensional (3D) histology of human tissue through clearing has been hampered by the lengthy and intricate procedure. Here, a rapid and straightforward clearing protocol termed single‐step dehydration solvent‐based clearing (SSD) is proposed via a chemical dehydration strategy.
Yi Dai +16 more
wiley +1 more source
Compressive sensing techniques based on secure data aggregation in WSNs. [PDF]
Madkour ME +5 more
europepmc +1 more source
WITHDRAWN: Implementation of the Ad hoc On-Demand Distance Vector (AODV) routing protocol in Mobile Peer-to-Peer Wireless Networks (MP2PWN) [PDF]
Ismahan MAHDI, Rania Ilham TALAMALI
openalex +1 more source
Infectious diseases are commonly cited as significant contributors to wildlife population declines. It is, therefore, important to investigate the extent to which tools designed to mitigate the effects of infectious diseases explain wildlife responses to habitat management.
Jacob Goldman +8 more
wiley +1 more source
Transforming Smart Healthcare Systems with AI-Driven Edge Computing for Distributed IoMT Networks. [PDF]
Almufareh MF, Humayun M, Haseeb K.
europepmc +1 more source
Effective population size (Ne) is a useful parameter to evaluate the long‐term viability of populations. While obtaining enough field data from wild populations to estimate Ne directly is challenging, molecular techniques applied to non‐invasive samples provide an appealing alternative.
María‐José Bañuelos, Mario Quevedo
wiley +1 more source
MECO: Mixture-of-Expert Codebooks for Multiple Dense Prediction Tasks. [PDF]
Hwang G, Lee SJ.
europepmc +1 more source
Distributed Formation Control for Heterogeneous Robot Systems Based on Competitive Mechanism
ABSTRACT This paper presents an adaptive formation control method for a heterogeneous robot swarm, utilising a multilevel formation task tree to model various types of formation tasks and a single‐state distributed k‐winner‐take‐all (S‐DKWTA) algorithm to address the MRTA problem.
Zhenghui Cui, Xiaoyi Gu, Ning Tan
wiley +1 more source

