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Deep Transfer Learning‐Based Foot No‐Ball Detection in Live Cricket Match
Automation in every part of life has become a frequent situation because of the rapid
advancement of technology, mostly driven by AI technology, and has helped facilitate …
advancement of technology, mostly driven by AI technology, and has helped facilitate …
Ensemble model for diagnostic classification of Alzheimer's disease based on brain anatomical magnetic resonance imaging
Alzheimer's is one of the fast-growing diseases among people worldwide leading to brain
atrophy. Neuroimaging reveals extensive information about the brain's anatomy and …
atrophy. Neuroimaging reveals extensive information about the brain's anatomy and …
Preprocessing Arabic text on social media
MO Hegazi, Y Al-Dossari, A Al-Yahy, A Al-Sumari… - Heliyon, 2021 - cell.com
Currently, social media plays an important role in daily life and routine. Millions of people
use social media for different purposes. Large amounts of data flow through online networks …
use social media for different purposes. Large amounts of data flow through online networks …
Understanding the black-box: towards interpretable and reliable deep learning models
Deep learning (DL) has revolutionized the field of artificial intelligence by providing
sophisticated models across a diverse range of applications, from image and speech …
sophisticated models across a diverse range of applications, from image and speech …
A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks
Supervised learning with the restriction of a few existing training samples is called Few-Shot
Learning. FSL is a subarea that puts deep learning performance in a gap, as building robust …
Learning. FSL is a subarea that puts deep learning performance in a gap, as building robust …
A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics
Empirical methods in geoparsing have thus far lacked a standard evaluation framework
describing the task, metrics and data used to compare state-of-the-art systems. Evaluation is …
describing the task, metrics and data used to compare state-of-the-art systems. Evaluation is …
[HTML][HTML] A spatiotemporal deep learning approach for automatic pathological gait classification
Human motion analysis provides useful information for the diagnosis and recovery
assessment of people suffering from pathologies, such as those affecting the way of walking …
assessment of people suffering from pathologies, such as those affecting the way of walking …
[PDF][PDF] Gastrointestinal tract infections classification using deep learning
Automatic gastrointestinal (GI) tract disease recognition is an important application of
biomedical image processing. Conventionally, microscopic analysis of pathological tissue is …
biomedical image processing. Conventionally, microscopic analysis of pathological tissue is …
Multiscale convolutional neural networks with attention for plant species recognition
X Wang, C Zhang, S Zhang - Computational intelligence and …, 2021 - Wiley Online Library
Plant species recognition is a critical step in protecting plant diversity. Leaf‐based plant
species recognition research is important and challenging due to the large within‐class …
species recognition research is important and challenging due to the large within‐class …
A survey on common criteria (CC) evaluating schemes for security assessment of IT products
Over the last few years, private and public organizations have suffered an increasing
number of cyber-attacks owing to excessive exploitation of technological vulnerabilities. The …
number of cyber-attacks owing to excessive exploitation of technological vulnerabilities. The …