IEEE

CNN-Transformer Feature Aggregation Networks for Underwater Acoustic Target Recognition

Abstract: This paper introduces the CAT model, achieving 98.9% accuracy on the ShipsEar dataset by combining CNN and ViT with a fusion and separation mechanism for underwater acoustic signal ...
IEEE

ISL Recognition of Emergency Words Using MediaPipe, CNN and LSTM

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 ...
IEEE

Deep Learning for Handwritten Hindi Character Recognition: A CNN-Based Implementation

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 ...
IEEE

Machine Learning Framework for Industrial Machine Sound Classification in Predictive Maintenance

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

Phaseper: A Complex-Valued Transformer for Automatic Speech Recognition

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 ...
IEEE

Automatic Persian Speech Emotion Recognition: A CNN-Based Approach Using PDREC and ShEMO Datasets

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 ...
IEEE

Hybrid CNN-Ensemble Framework for Robust Floral Species Recognition

Abstract: This study introduces a sophisticated floral identification system based on Deep Learning and Machine Learning to improve species classification accuracy. The system combines VGG16 CNN for ...
IEEE

Adversarial Domain Adaptation and Multi-View Semantic Fusion for CNN-Based Autonomous Driving Image Recognition

Abstract: The development of autonomous driving technology presents challenges for vision systems, especially in complex environments such as changing weather, lighting, and tunnels. Traditional ...
IEEE

Performance Analysis of CNN-Based Spectrogram with Multiple Audio Feature Types for English Digit Recognition

Abstract: Audio feature selection and neural network architecture play crucial roles in speech recognition performance. This paper presents a comparative analysis of Artificial Neural Networks (ANNs) ...
IEEE

Development of Real Time CNN-Based System for Telugu Word Recognition on Raspberry Pi

Abstract: The recognition of handwritten regional scripts remains a significant challenge in the domain of Optical Character Recognition (OCR), particularly for complex languages such as Telugu. This ...
IEEE

Enhancing Interpretability of Deep Canonically Correlated Autoencoders Through Convolutional Neural Networks and Visualization

Abstract: In this study, we studied unsupervised multiview learning techniques focused on maximizing correlation, particularly Deep Canonically Correlated Autoencoders (DCCAE). The goal of this study ...
IEEE

WaveHAR: Learning Wavelet Representation for Wearable Human Activity Recognition

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 ...