IEEE

CNN-Transformer Based Image Emotion Recognition with Multi-Scale Feature Enhancement

Abstract: Image emotion recognition aims to analyze and understand the emotions conveyed by images. Due to the high similarity of features between different emotion categories, the model is prone to ...
IEEE

Deep-Detector: Deepfake Voice Recognition using Machine Learning

Abstract: Advancements in machine learning (ML) and artificial intelligence (AI) have paved the way for the deepfake spectrum to expand in the tech space. The growing demand for generative AI has ...
IEEE

Machine Learning based Bird’s Emotions Recognition using Joint Dataset of Audio and Visual Images

Abstract: Accurate recognition of bird emotions is essential for advancing bird behavior studies and conservation efforts. This paper introduces a learning approach for bird emotions recognition, ...
IEEE

Personalized Music Recommendations Through Speech Emotion Recognition Using Deep Learning

Abstract: The objective of this work is to present a music recommendation system that personalises the suggested songs by recognising emotions from speech. The system leverages emotion extraction from ...
IEEE

Emotion Recognition from EEG Signals Using a Hybrid Deep Learning Approach

Abstract: In recent years, the rise of advanced machine learning techniques has led to an increase in research on brain-computer interfaces. It’s considered a multifaceted challenge to develop ...
IEEE

Comprehensive Insights Into Multimodal Emotion Recognition Using Machine Learning and Deep Learning

Abstract: Multimodal Emotion Recognition (MER) is a fastdeveloping area that combines various sources of data like facial, speech, physiological, and text data to better recognize human emotions. MER ...
IEEE

Deep Learning for Lung Cancer Classification: An Optimized 2D CNN Approach for CT Image Recognition

Abstract: This research work presents a deep learning method using the Convolutional Neural Network (CNN) for automated lung image classification based on Computer Tomography (CT) scan datasets. The ...
IEEE

A Multimodal AI-Driven Framework for Adaptive Learning of Differently-Abled Learners Using Deep Learning and Real-Time Gesture Recognition

Abstract: There are about 1.3 billion people with disabilities in the world, including those who are blind and deaf, yet they still face many obstacles when it comes to participating in educational ...
Hartford Courant

A CT grocery chain is using a facial recognition system. It triggered debate on AI security systems.

With residents this month debating use of facial recognition systems at some Connecticut grocery stores, state lawmakers from both parties plan to look into stopping that technology from being used in ...