Results 161 to 170 of about 251,998 (281)

The performance of drones and artificial intelligence for monitoring sage‐grouse at leks

Wildlife Biology, EarlyView.
Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew, Jason Hanlon, Ilya Buzytsky   +2 more
wiley   +1 more source

A Markov random field model with cumulative logistic functions for spatially dependent ordinal data. [PDF]

J Appl Stat
Ip RHL, Wu KYK.
europepmc   +1 more source

Design considerations for breeding waterfowl surveys

Wildlife Society Bulletin, EarlyView.
This study evaluated how different survey designs affect the accuracy and precision of breeding waterfowl population estimates in Iowa's Prairie Pothole Region. Using aerial survey data from 2016–2018, we found that conducting at least 2 visits per season reduced bias in pair estimates, particularly for wood ducks and blue‐winged teal, while mallard ...
Tyler M. Harms, Stephen J. Dinsmore, Orrin E. Jones III   +2 more
wiley   +1 more source

A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI. [PDF]

Front Neuroinform, 2017
Castillo-Barnes D, Peis I, Martínez-Murcia FJ, Segovia F, Illán IA, Górriz JM, Ramírez J, Salas-Gonzalez D.   +7 more
europepmc   +1 more source

Abundance estimates of eastern black rails in southeastern Colorado

Wildlife Society Bulletin, EarlyView.
This study estimated eastern black rail (Laterallus jamaicensis jamaicensis) detection, occupancy, and abundance in southeastern Colorado. We found detection probability increased later in the season and later at night but decreased with ambient noise. Occupancy increased with residual vegetation height and detection of Virginia rail (Rallus limicola).
Eleonora M. Hargett, Thomas J. Benson, Liza Rossi, Auriel M. V. Fournier   +3 more
wiley   +1 more source

Change point estimation in high dimensional Markov random-field models. [PDF]

J R Stat Soc Series B Stat Methodol, 2017
Roy S, Atchadé Y, Michailidis G.
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

Structure-based Markov random field model for representing evolutionary constraints on functional sites. [PDF]

BMC Bioinformatics, 2016
Jeong CS, Kim D.
europepmc   +1 more source

Robotic Cell Micromanipulation Skill Learning via Imitation‐Enhanced Reinforcement Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Humans can learn complex and dexterous manipulation tasks by observing videos, imitating and exploring. Multiple end‐effectors manipulation of free micron‐sized deformable cells is one of the challenging tasks in robotic micromanipulation. We propose an imitation‐enhanced reinforcement learning method inspired by the human learning process ...
Youchao Zhang, Fanghao Wang, Xiangyu Guo, Yibin Ying, Mingchuan Zhou, Zhongliang Jiang, Alois Knoll   +6 more
wiley   +1 more source

Glaucoma progression detection using nonlocal Markov random field prior. [PDF]

J Med Imaging (Bellingham), 2014
Belghith A, Bowd C, Medeiros FA, Balasubramanian M, Weinreb RN, Zangwill LM.   +5 more
europepmc   +1 more source