Results 41 to 50 of about 5,389,263 (268)

Spatio-Temporal Pruning for Training Ultra-Low-Latency Spiking Neural Networks in Remote Sensing Scene Classification

Remote Sensing
In remote sensing scene classification (RSSC), restrictions on real-time processing on power consumption, performance, and resources necessitate the compression of neural networks.
Jiahao Li, Ming Xu, He Chen, Wenchao Liu, Liang Chen, Yizhuang Xie   +5 more
doaj   +1 more source

Correlation tracking via robust region proposals

The Journal of Engineering, 2019
Recently, correlation filter-based trackers have received extensive researching interest because of their simplicity and superior running speed. However, such trackers perform poorly when the target undergoes occlusion, viewpoint change, or other ...
Yuqi Han, Jinghong Nan, Zengshuo Zhang, Jingjing Wang, Baojun Zhao   +4 more
doaj   +1 more source

Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study

IEEE Access, 2023
The lithium-ion batteries used in electric vehicles have a shorter lifespan than other vehicle components, and the degradation mechanism inside these batteries reduces their life even more. Battery degradation is considered a significant issue in battery
Laxman Timilsina, Payam R. Badr, Phuong H. Hoang, Gokhan Ozkan, Behnaz Papari, Christopher S. Edrington   +5 more
doaj   +1 more source

Real-time cosmology [PDF]

Physics Reports, 2012
44 pages, 23 figures. References added; revised text, tables and plots.
QUERCELLINI, CLAUDIA, Amendola, L, BALBI, AMEDEO, CABELLA, PAOLO, Quartin, M.   +4 more
openaire   +4 more sources

Real-Time Camera Operator Segmentation with YOLOv8 in Football Video Broadcasts

AI
Using instance segmentation and video inpainting provides a significant leap in real-time football video broadcast enhancements by removing potential visual distractions, such as an occasional person or another object accidentally occupying the frame ...
Serhii Postupaiev, Robertas Damaševičius, Rytis Maskeliūnas   +2 more
doaj   +1 more source

SRARNet: A Unified Framework for Joint Superresolution and Aircraft Recognition

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Aircraft recognition in high-resolution remote sensing images has rapidly progressed with the advance of convolutional neural networks (CNNs). However, the previous CNN-based methods may not work well for recognizing aircraft in low-resolution remote ...
Wei Tang, Chenwei Deng, Yuqi Han, Yun Huang, Baojun Zhao   +4 more
doaj   +1 more source

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya, Selena Murcia Mendez, Jennifer Kellett, Sarah Wright, Marisel Ponton, Robin T. Higashi, Rahela Aziz‐Bose, Colleen A. Kelly, Ayesha Zia, Joanne Wolfe, Sandi L. Pruitt, Kira Bona   +11 more
wiley   +1 more source

Multimodal Fusion of EEG and Audio Spectrogram for Major Depressive Disorder Recognition Using Modified DenseNet121

Brain Sciences
Background/Objectives: This study investigates the classification of Major Depressive Disorder (MDD) using electroencephalography (EEG) Short-Time Fourier-Transform (STFT) spectrograms and audio Mel-spectrogram data of 52 subjects.
Musyyab Yousufi, Robertas Damaševičius, Rytis Maskeliūnas   +2 more
doaj   +1 more source

Consensus Standards and Recommendations for Developmental and Cognitive Surveillance, Screening, and Evaluation in Sickle Cell Disease: Executive Summary From the National Alliance of Sickle Cell Centers Neurocognitive Workgroup

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurodevelopmental and neurocognitive difficulties are prevalent among individuals with sickle cell disease and warrant prompt identification and support. This Special Report provides an executive summary of standards and recommendations for surveillance, screening, and evaluation for development and cognition across the lifespan developed by ...
Alyssa M. Schlenz, Donna Murdaugh, Andrew M. Heitzer, Jennifer N. Longoria, Wendy Santos‐Modesitt, Arianna Martin, Judy Cavazos, Jeff Schatz, Catherine R. Hoyt, Alison King, Eboni I. Lance, Steven Hardy, Marsha Treadwell   +12 more
wiley   +1 more source

GATransformer: A Graph Attention Network-Based Transformer Model to Generate Explainable Attentions for Brain Tumor Detection

Algorithms
Brain tumors profoundly affect human health owing to their intricacy and the difficulties associated with early identification and treatment. Precise diagnosis is essential for effective intervention; nevertheless, the resemblance among tumor forms often
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius   +2 more
doaj   +1 more source