Harvard Business Review

How Pioneering Boards Are Using AI

They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...
IEEE

Emotion Recognition from Speech Signals Using Hybrid CNN Model

Abstract: The fast growth of internet and communications networks has drastically enhanced data transport, allowing tasks like Speech Emotion Recognition (SER), an essential aspect of human-computer ...
IEEE

Comparative Study of Deep Learning Models for Sentiment Analysis on Social Media Data Using Hybrid BiLSTM-CNN Architecture

Abstract: In the modern era, social media platforms serve as key venues where individuals engage in conversations, share ideas, and express opinions. Sentiment analysis is a subfield of Natural ...
IEEE

Emotionfusion: a Multimodal Approach to Emotion Detection Using Audio-Visual Cues

Abstract: In this paper, we propose an upgraded model for emotion detection with the help of the RAVEDESS dataset which is multimodal and encompasses series of videos and audio files of ...
IEEE

Multiple Face-Emotion Recognition Using Attention Mechanisms in Deep Learning

Abstract: Emotions were conveyed through facial expressions and could represent unspoken words. While humans could easily interpret these expressions, it remained a challenging task for machines.
IEEE

An Explainable Approach to Land-Use Classification Using CNN-LSTM and LIME

Abstract: The evolution of landscapes has opened the opportunity to utilize previously unused land for various purposes, such as agriculture and urban development. This approach promotes sustainable ...
IEEE

Dance Video Analysis System Based on YOLO Pose and CNN+LSTM Deep Learning Models

Abstract: The development and popularization of artificial intelligence and deep learning have driven the development of human pose recognition. Video analysis of human body posture has become a ...
IEEE

Audio-Based Emotion Analysis Using Deep Learning Techniques

Abstract: This paper uses audio parameters such as MFCCs, zero-crossing rate, chroma features, RMS values, and Mel spectrograms to provide a novel approach to machine learning for speech emotion ...
InfoWorld

A brief history of AI

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge ...
IEEE

Speech Emotion Recognition using CNN-TRANSFORMER Architecture

Abstract: In the past few years, recognition of emotions from speech has become increasingly popular, due to its wide-ranging potential applications across various fields such as healthcare, and ...
IEEE

Gait Recognition via Motion Difference Representation Learning and Salient Feature Modeling

Abstract: As a periodic movement, gait contains informative biometric traits formed by individual body structures, motion patterns, and behavioral habits. Previous gait recognition methods mainly ...
IEEE

Optimized CNN-Based Deep Learning for ECG Signal Classification in IoT Healthcare Monitoring Systems

Abstract: The suggested technique improves ECG signal categorization by combining Particle Swarm Optimization (PSO) with Convolutional Neural Networks (CNN). Extracting features and categorization are ...