Results 111 to 120 of about 138,919 (306)
Using the LSTM Neural Network and the UWB Positioning System to Predict the Position of Low and High Speed Moving Objects. [PDF]
Paszek K, Grzechca D.
europepmc +1 more source
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
Moving Objects Segmentation in Video Sequence Based on Bayesian Network
This paper proposes an improvement over moving objects segmentation method for video sequence based on Bayesian network. The method integrates temporal and spatial features by Bayesian network through three fields, which are motion vector field ...
Duong, Anh-Duc +3 more
core +1 more source
The thesis deals with founding and tracking of moving objects inside of visual field and prediction of their future position. The created methods combine few approaches for solution this problem.
Bradáč, František
core +2 more sources
Tracking moving objects through scattering media via speckle correlations. [PDF]
Jauregui-Sánchez Y +2 more
europepmc +1 more source
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
Position representations of moving objects align with real-time position in the early visual response. [PDF]
Johnson PA +5 more
europepmc +1 more source
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
An Improved YOLOv8 to Detect Moving Objects
Deep learning has revolutionized object detection, with YOLO (You Only Look Once) leading in real-time accuracy. However, detecting moving objects in visual streams presents distinct challenges. This paper proposes a refined YOLOv8 object detection model,
Mukaram Safaldin +2 more
doaj +1 more source
Effects of domestication and captive breeding on reaction to moving objects: implications for avoidance behaviours of masu salmon Oncorhynchus masou. [PDF]
Hasegawa K, Nakae M, Miyamoto K.
europepmc +1 more source

