[HTML][HTML] Performance analysis for COVID-19 diagnosis using custom and state-of-the-art deep learning models
The modern scientific world continuously endeavors to battle and devise solutions for newly
arising pandemics. One such pandemic which has turned the world's accustomed routine …
arising pandemics. One such pandemic which has turned the world's accustomed routine …
[HTML][HTML] Smart Home Automation-Based Hand Gesture Recognition Using Feature Fusion and Recurrent Neural Network
Gestures have been used for nonverbal communication for a long time, but human–
computer interaction (HCI) via gestures is becoming more common in the modern era. To …
computer interaction (HCI) via gestures is becoming more common in the modern era. To …
[HTML][HTML] An integrated real-time hand gesture recognition framework for human–robot interaction in agriculture
Incorporating hand gesture recognition in human–robot interaction has the potential to
provide a natural way of communication, thus contributing to a more fluid collaboration …
provide a natural way of communication, thus contributing to a more fluid collaboration …
[HTML][HTML] Cricket match analytics using the big data approach
Cricket is one of the most liked, played, encouraged, and exciting sports in today's time that
requires a proper advancement with machine learning and artificial intelligence (AI) to attain …
requires a proper advancement with machine learning and artificial intelligence (AI) to attain …
[HTML][HTML] An automated recognition of work activity in industrial manufacturing using convolutional neural networks
J Patalas-Maliszewska, D Halikowski, R Damaševičius - Electronics, 2021 - mdpi.com
The automated assessment and analysis of employee activity in a manufacturing enterprise,
operating in accordance with the concept of Industry 4.0, is essential for a quick and precise …
operating in accordance with the concept of Industry 4.0, is essential for a quick and precise …
Efficient residential load forecasting using deep learning approach
Reliable and efficient working of smart grids depends on smart meters that are used for
tracking electricity usage and provides' accurate, granular information that can be used for …
tracking electricity usage and provides' accurate, granular information that can be used for …
Helping hearing-impaired in emergency situations: A deep learning-based approach
Hearing-impaired people use sign language to express their thoughts and emotions and
reinforce information delivered in daily conversations. Though they make a significant …
reinforce information delivered in daily conversations. Though they make a significant …
[PDF][PDF] Rotation, Translation and Scale Invariant Sign Word Recognition Using Deep Learning.
Communication between people with disabilities and people who do not understand sign
language is a growing social need and can be a tedious task. One of the main functions of …
language is a growing social need and can be a tedious task. One of the main functions of …
[HTML][HTML] Continuous word level sign language recognition using an expert system based on machine learning
R Sreemathy, MP Turuk, S Chaudhary, K Lavate… - International Journal of …, 2023 - Elsevier
The study of sign language recognition systems has been extensively explored using many
image processing and artificial intelligence techniques for many years, but the main …
image processing and artificial intelligence techniques for many years, but the main …
[HTML][HTML] Combination of deep cross-stage partial network and spatial pyramid pooling for automatic hand detection
C Dewi, H Juli Christanto - Big Data and Cognitive Computing, 2022 - mdpi.com
The human hand is involved in many computer vision tasks, such as hand posture
estimation, hand movement identification, human activity analysis, and other similar tasks, in …
estimation, hand movement identification, human activity analysis, and other similar tasks, in …