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: 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: Predictive maintenance, utilising anomalous sound classification, demonstrates a strong potential to identify mechanical faults in industrial machinery. This research proposes a machine ...

Abstract: Accent recognition plays a crucial role in machine learning and natural language processing. However, since most algorithms in the field of fair machine learning cannot directly work on ...

Abstract: Recent advances in automatic speech recognition (ASR) have largely focused on real-valued neural network models (e.g., Whisper) that use only the magnitude of the speech signal’s spectrogram ...

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: An autonomous driving system requires efficient image recognition to interpret the environment, detect obstacles, and make real-time decisions. This study compares Convolutional Neural ...

Abstract: Electroencephalogram (EEG) signals, as a real-time and non-invasive physiological modality, have been widely employed in intelligent perception tasks such as emotion recognition. To address ...

Abstract: In rapidly evolving the Internet-of-Things (IoT) industry, human activity recognition (HAR) technology based on wearable sensors always plays a pivotal role. Deep learning models, especially ...

Abstract: Aim: This study aims to improve the accuracy of real-time crop disease detection by comparing the traditional machine learning (ML) algorithms to Convolutional Neural Networks (CNN), along ...

Abstract: Cardiovascular diseases (CVDs) are amongst the top causes of deaths worldwide and hence warrant the immediate use of non-invasive, timely, and accurate diagnostic methods. In this paper, a ...

Abstract: The underwater environment is a complex acoustic habitat, rich in biotic and abiotic sounds. Detecting and classifying diverse ocean sounds is essential for understanding and protecting ...