Abstract: This research paper focuses on the development, improvement and evaluation of a machine learning model for recognizing Indian Sign Language (ISL) hand gestures in emergency situations. By ...
Abstract: With the growing impact of IoT and AI across various fields, their application in sign language recognition presents new opportunities for inclusive communication. This paper investigates ...
Abstract: This manuscript delineates a sophisticated framework for the recognition of handwritten Hindi characters, employing diverse deep learning methodologies. Within this study, we proffer a ...
Abstract: The need for advanced Speech Emotion Recognition (SER) systems has grown with the development of human-machine interaction technologies. This paper introduces a CNN model specifically ...
Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...
Abstract: Cancer, a disease that does not discriminate; impacting people from all walks of life. Numerous types of cancer affect humans, each with distinct characteristics and treatment approaches.
Abstract: In the task of in-air handwriting recognition, millimeter-wave (mmWave) radar sensors offer advantages in low-power consumption, privacy protection, and robustness to environmental ...
ALBANY, N.Y. – New York lawmakers are considering a sweeping proposal to prohibit law enforcement from using biometric surveillance technology, while creating a task force to study if and how such ...
Abstract: The increasing use of artificial intelligence-generated deepfakes creates major challenges in maintaining digital authenticity. Four AI-based models, consisting of three CNNs and one Vision ...
Abstract: Accurate real-time fault detection, localization, and classification techniques are necessary to maintain grid stability and prevent faults. Traditional techniques have low accuracy rates, ...
Democrats on the House Committee on Homeland Security have demanded that the Department of Homeland Security (DHS) turn over legal and technical details about Immigration and Customs Enforcement’s ...
Abstract: A novel lightweight hand gesture recognition approach that is based on Frequency-Modulated Continuous Wave (FMCW) RADAR, which aims to minimize computational complexity and memory usage as ...