Results 211 to 220 of about 7,363,707 (395)
Movement detection from TV signals by using objects areas informations.
Yasuhiro Hirano, Kazuo Ishikura
openalex +2 more sources
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam+9 more
wiley +1 more source
SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network [PDF]
Hyperspectral target detection (HTD) aims to identify specific materials based on spectral information in hyperspectral imagery and can detect extremely small objects, some of which occupy a smaller than one-pixel area. However, existing HTD methods are developed based on per-pixel binary classification, which limits the feature representation ...
arxiv
Moving Object Detection Using Delayed - Cellular Neural Network [PDF]
Osman N. Uçan, Lokman AĞIRMAN
openalex +1 more source
Presurgery 72‐h fasting in GB patients leads to adaptations of plasma lipids and polar metabolites. Fasting reduces lysophosphatidylcholines and increases free fatty acids, shifts triglycerides toward long‐chain TGs and increases branched‐chain amino acids, alpha aminobutyric acid, and uric acid.
Iris Divé+7 more
wiley +1 more source
GUI Element Detection Using SOTA YOLO Deep Learning Models [PDF]
Detection of Graphical User Interface (GUI) elements is a crucial task for automatic code generation from images and sketches, GUI testing, and GUI search. Recent studies have leveraged both old-fashioned and modern computer vision (CV) techniques. Oldfashioned methods utilize classic image processing algorithms (e.g.
arxiv
A Method of Detection of Moving Objects on the Moving Vehicle
Naoki Amano+2 more
openalex +2 more sources
U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection [PDF]
Xuebin Qin+5 more
semanticscholar +1 more source
Patient engagement involves actively including patients in healthcare decisions and research to ensure care and studies align with their needs. This approach improves outcomes, trust, and communication while fostering collaboration between patients and professionals.
Estela Cepeda+3 more
wiley +1 more source