CMAD: Advancing Understanding of Geospatial Clusters of Anomalous Melt Events in Sea Ice Extent
Traditional statistical analyses do not reveal the spatial locations and the temporal
occurrences of clusters of anomalous events that are responsible for a significant loss of sea …
occurrences of clusters of anomalous events that are responsible for a significant loss of sea …
Hybrid Quantum Convolutional Neural Network for Defect Detection in a Wind Turbine Gearbox
Convolutional neural networks (CNNs) have been acknowledged for their effectiveness in
vibration-based fault detection. However, when used to model high-dimensional vibration …
vibration-based fault detection. However, when used to model high-dimensional vibration …
Optimal Features Selection for Human Activity Recognition (HAR) System Using Deep Learning Architectures
One exciting area within computer vision is classifying human activities, which has diverse
applications like medical informatics, human-computer interaction, surveillance, and task …
applications like medical informatics, human-computer interaction, surveillance, and task …
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for Healthcare
SK Paul, ASM Miah, RR Paul, ME Hamid, J Shin… - arXiv preprint arXiv …, 2025 - arxiv.org
The Internet of Things (IoT) and mobile technology have significantly transformed healthcare
by enabling real-time monitoring and diagnosis of patients. Recognizing medical-related …
by enabling real-time monitoring and diagnosis of patients. Recognizing medical-related …
AI-based Sensory Glove System to Recognize Bengali Sign Language (BaSL)
This paper proposes an AI-based sensory glove system aimed at recognizing Bengali sign
language (BaSL) in order to assist the Bengali speech disabled community to overcome the …
language (BaSL) in order to assist the Bengali speech disabled community to overcome the …
Deep Learning Techniques for Bangladeshi Coin Detection and Automated Counting System: A Comparative Study of Multiple Algorithms
AH Babor, UH Choity, M Kaspia… - … on Advancement in …, 2024 - ieeexplore.ieee.org
Efficient currency detection and counting systems are crucial for the smooth operation of any
financial ecosystem. This paper explores the development, implementation, and potential …
financial ecosystem. This paper explores the development, implementation, and potential …
Augmented Reality and Artificial Intelligence in Sign Language Expression
R Kaviyaraj, P Sathya, P Nandhini… - 2024 Third …, 2024 - ieeexplore.ieee.org
Sign language, the vibrant tapestry of hand gestures and facial expressions, is the lifeblood
of Deaf and hardof-hearing communities. For millions of signers, American Sign Language …
of Deaf and hardof-hearing communities. For millions of signers, American Sign Language …
Sign Language Recognition and Translation Using Self-Attention Long-Short-Term Memory with Shape Autotuning Activation Function
BD Parameshachari, KH Keoy… - 2024 International …, 2024 - ieeexplore.ieee.org
An efficient Indian Sign Language recognition (ISL) identifies the sign language gestures to
ease communication among the non-signer and signer community. It is a graphic form of …
ease communication among the non-signer and signer community. It is a graphic form of …
Klasifikasi Jenis Wayang menggunakan Convolutional Neural Network (CNN) dan Optimasi Adaptive Moment Estimation (ADAM)
NE Imandayanti - … : Jurnal Riset Inovasi Bidang Informatika dan …, 2024 - ejurnal.itats.ac.id
Perkembangan teknologi memiliki peran penting dalam upaya pelestarian budaya, terutama
dalam melestarikan seni tradisional seperti wayang. Wayang merupakan salah satu warisan …
dalam melestarikan seni tradisional seperti wayang. Wayang merupakan salah satu warisan …