Abstract: Lithium-ion battery charging involves many factors such as electricity, heat, aging, etc. Shortening the charging time of lithium-ion batteries while limiting aging and temperature rise is ...
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: The advent of robotic surgery has brought about a paradigm shift in the medical field, necessitating the development of corresponding surgical skills training and assessment methods. These ...
Abstract: Accurately detecting emotions and analysing it, especially in real-time, plays a major role in bolstering human-computer interaction across a spectrum of applications like virtual assistants ...
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: Emotions play a vital role in decision-making, planning, reasoning, and other mental states in daily life, which are widely recognized as crucial roles in human interactions. It recognizes ...
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: Mental health is a significant global public health issue, and psychological support hotlines play a crucial role in providing mental health assistance and identifying suicide risks at an ...
Abstract: Face Recognition is a computer vision technology that identifies or verifies a person’s identity using a person’s facial features. It is widely used in different fields like security, ...
Abstract: This paper presents a real-time emotion recognition system that categorizes human emotions from voice inputs using machine learning, which has been integrated into an Android app. The main ...
Abstract: As unmanned aerial vehicles (UAVs) are employed for many applications, UAV identification becomes critical to air traffic control nowadays. Conventional radio-frequency (RF) based UAV ...
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