Deep CNN models-based ensemble approach to driver drowsiness detection

M Dua, Shakshi, R Singla, S Raj, A Jangra - Neural Computing and …, 2021 - Springer
Statistics have shown that many accidents occur due to drowsy condition of drivers. In a
study conducted by National Sleep Foundation, it has been found that about 20% of drivers …

A systematic review on handwritten document analysis and recognition

S Inunganbi - Multimedia Tools and Applications, 2024 - Springer
Abstract Document Analysis and Recognition (DAR) is ongoing research that has been
studied extensively for many decades and it has achieved a substantial level that generates …

Optical character recognition for English handwritten text using recurrent neural network

R Parthiban, R Ezhilarasi… - … Conference on System …, 2020 - ieeexplore.ieee.org
Manually written Text Recognition is an innovation that is genuinely necessary right now of
today. Before appropriate execution of this innovation we have depended on composing …

[HTML][HTML] Comparative Analysis of YOLOv8 and YOLOv10 in Vehicle Detection: Performance Metrics and Model Efficacy

A Sundaresan Geetha, MAR Alif, M Hussain, P Allen - Vehicles, 2024 - mdpi.com
Accurate vehicle detection is crucial for the advancement of intelligent transportation
systems, including autonomous driving and traffic monitoring. This paper presents a …

OCR-nets: variants of pre-trained CNN for Urdu handwritten character recognition via transfer learning

MA KO, S Poruran - Procedia computer science, 2020 - Elsevier
Deep Convolutional neural networks (CNN) have been among the utmost competitive
neural network architectures and have set the state-of-the-art in various fields of computer …

A comparative analysis of yolov5, yolov8, and yolov10 in kitchen safety

AS Geetha, M Hussain - arXiv preprint arXiv:2407.20872, 2024 - arxiv.org
Knife safety in the kitchen is essential for preventing accidents or injuries with an emphasis
on proper handling, maintenance, and storage methods. This research presents a …

[HTML][HTML] A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition

MM Khan, MS Uddin, MZ Parvez, L Nahar - Journal of King Saud University …, 2022 - Elsevier
In today's digital era, the recognition of handwritten documents is highly demanding due to
the widespread applications. Bangla is one of the most used languages in the world, which …

Multiscale depth of anaesthesia prediction for surgery using frontal cortex electroencephalography

E Nsugbe, S Connelly - Healthcare Technology Letters, 2022 - Wiley Online Library
Hypnotic and sedative anaesthetic agents are employed during multiple medical
interventions to prevent patient awareness. Careful titration of agent dosing is required to …

Performance analysis of state of the art convolutional neural network architectures in Bangla handwritten character recognition

T Ghosh, MHZ Abedin, H Al Banna, N Mumenin… - Pattern Recognition and …, 2021 - Springer
Bangla handwritten character recognition is a popular research topic as its difficulty is higher
than the recognition of other languages because of multiple formats of compound …

Yolov11 for vehicle detection: Advancements, performance, and applications in intelligent transportation systems

MAR Alif - arXiv preprint arXiv:2410.22898, 2024 - arxiv.org
Accurate vehicle detection is essential for the development of intelligent transportation
systems, autonomous driving, and traffic monitoring. This paper presents a detailed analysis …