Deep Transfer Learning‐Based Foot No‐Ball Detection in Live Cricket Match

S Das, T Mahmud, D Islam, M Begum… - Computational …, 2023 - Wiley Online Library
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 …

Ensemble model for diagnostic classification of Alzheimer's disease based on brain anatomical magnetic resonance imaging

YF Khan, B Kaushik, CL Chowdhary, G Srivastava - Diagnostics, 2022 - mdpi.com
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 …

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 …

Understanding the black-box: towards interpretable and reliable deep learning models

T Qamar, NZ Bawany - PeerJ Computer Science, 2023 - peerj.com
Deep learning (DL) has revolutionized the field of artificial intelligence by providing
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

N Elaraby, S Barakat, A Rezk - Scientific reports, 2022 - nature.com
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 …

A pragmatic guide to geoparsing evaluation: Toponyms, Named Entity Recognition and pragmatics

M Gritta, MT Pilehvar, N Collier - Language resources and evaluation, 2020 - Springer
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 …

[HTML][HTML] A spatiotemporal deep learning approach for automatic pathological gait classification

P Albuquerque, TT Verlekar, PL Correia, LD Soares - Sensors, 2021 - mdpi.com
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 …

[PDF][PDF] Gastrointestinal tract infections classification using deep learning

M Ramzan, M Raza, M Sharif, MA Khan… - Comput. Mater …, 2021 - academia.edu
Automatic gastrointestinal (GI) tract disease recognition is an important application of
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 …

A survey on common criteria (CC) evaluating schemes for security assessment of IT products

M Fatima, H Abbas, T Yaqoob, N Shafqat… - PeerJ Computer …, 2021 - peerj.com
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 …