How to unlock the power of ChatGPT

Chatbots can be overly agreeable. To get less agreeable responses, ask for opposing viewpoints, multiple perspectives, and a ...
IEEE

Short-Term Wind Power Prediction Model Based on MIC-CEEMDAN-VMD-CNN-BiLSTM

Abstract: To enhance the precision of wind power forecasting, this paper proposes a model that employs feature selection and secondary decomposition techniques. Initially, the maximal information ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
IEEE

Deep Learning Meets Traditional AI: A Hybrid CNN-RF Model for Accurate and Explainable Skin Lesion Classification

Abstract: In dermatology, the task of skin lesion classification is a very important one, for early detection and treatment of skin cancer. In this work, we propose a hybrid AI model where ...
IEEE

A Multimodal IoT Sensing System With Hybrid LSTM–CNN Model for Predictive Fault Diagnosis in Elevators

Abstract: This article presents a multimodal Internet of Things (IoT)-enabled sensing system integrated with a hybrid deep learning framework for predictive fault diagnosis in elevator systems. The ...
IEEE

Comparison of CNN Model with Different Machine Learning Models for Fake News Detection

Abstract: Fake news continues to be a critical issue in today's era for any citizen concerned about political integrity and the state of governance. The use of internet has experienced exponential ...
IEEE

Rolling Bearing Fault Diagnosis Based on VMD-CNN-SLSTM Model

Abstract: Convolutional neural networks (CNN) are limited by the local receptive field, making it difficult to capture the shock features of the cross period. In view of this limitation, a ...
IEEE

Epileptic Seizure Prediction Using a Deep Hybrid CNN-GAN Model on EEG Data

Abstract: Epileptic seizure detection from EEG signals is essential for the diagnosis and treatment of neurological conditions. However, this task is difficult because of the complex and fluctuating ...
IEEE

AI-Powered Lung Cancer Detection: CNN-SVM Hybrid Model with Statistical Insights

Abstract: Liability of lung cancer as a primary cancer mortality agent around the world makes it vital to create diagnostic systems that guarantee both accuracy and operational efficiency. This ...

Elephant, Tiger Or Giraffe: How Much It Costs To Adopt An Animal At Mysuru Zoo

Adopting an animal does not mean ownership or private access. It is a symbolic, impactful act where an individual, family or ...
IEEE

Real-Time Driver Drowsiness Detection Using Hybrid CNN-LSTM Model with Facial Feature and Behavioral Analysis

Abstract: Driver Drowsiness is a leading cause of road accidents. It is responsible for around 20 percent of fatal accidents all around the world. Early detection of driver tiredness is crucial in ...
IEEE

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...