An experimental analysis of various machine learning algorithms for hand gesture recognition

S Bhushan, M Alshehri, I Keshta, AK Chakraverti… - Electronics, 2022 - mdpi.com
Nowadays, hand gestures have become a booming area for researchers to work on. In
communication, hand gestures play an important role so that humans can communicate …

A review on predicting autism spectrum disorder (asd) meltdown using machine learning algorithms

S Karim, N Akter, MJA Patwary… - 2021 5th International …, 2021 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a well-known mental disorders that prevails in the ability
of a person's social communication. The significance of early diagnosing drew the attention …

A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features …

M Sharif, MA Khan, T Akram, MY Javed, T Saba… - EURASIP Journal on …, 2017 - Springer
Human activity monitoring in the video sequences is an intriguing computer vision domain
which incorporates colossal applications, eg, surveillance systems, human-computer …

Hand gesture recognition using image processing and feature extraction techniques

A Sharma, A Mittal, S Singh, V Awatramani - Procedia Computer Science, 2020 - Elsevier
Image identification is becoming a crucial step in most of the modern world problem-solving
systems. Approaches for image detection, analysis and classification are available in glut …

Fuzziness based semi-supervised multimodal learning for patient's activity recognition using RGBDT videos

MJA Patwary, W Cao, XZ Wang, MA Haque - Applied Soft Computing, 2022 - Elsevier
Automatic recognition of bedridden patients' physical activity has important applications in
the clinical process. Such recognition tasks are usually accomplished on visual data …

An integrated spatiotemporal-based methodology for deepfake detection

A Ismail, M Elpeltagy, MS Zaki, K Eldahshan - Neural Computing and …, 2022 - Springer
Rapid advances in deep learning models have made it easier for public and crackers to
generate hyper-realistic deepfake videos in which faces are swapped. Such deepfake …

Real-time conversion of sign language to text and speech

K Tiku, J Maloo, A Ramesh… - 2020 Second International …, 2020 - ieeexplore.ieee.org
This paper presents an analysis of the performance of different techniques that have been
used for the conversion of sign language to text/speech format. Using the best possible …

[PDF][PDF] Nutrient deficiency detection in maize (Zea mays L.) leaves using image processing

N Sabri, NS Kassim, S Ibrahim, R Roslan… - … International Journal of …, 2020 - academia.edu
Maize is one of the world's leading food supplies. Therefore, the crop's production must
continue to reproduce to fulfill the market demand. Maize is an active feeder, therefore, it …

An intelligent HCI based tutoring system for child-centric learning environment

S Dutt, NJ Ahuja - Multimedia Tools and Applications, 2024 - Springer
The scientific studies in computer based expert systems have improved in the area related to
the disabilities identification and development of support systems for learning disabled …

Impact of fuzziness for skin lesion classification with transformer-based model

I Yasmin, S Sultana, SJ Begum… - 2023 International …, 2023 - ieeexplore.ieee.org
Skin lesion is one of the most commonly encountered illnesses that need to be detected and
treated at an early stage. Numerous Convolutional Neural Network (CNN) classifiers were …