Most Cited Articles

Open access

ISSN: 2666-3074

An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier

Medical image fusion method by deep learning

Facial expression recognition via ResNet-50

Fake News Classification using transformer based enhanced LSTM and BERT

Machine learning based diabetes prediction and development of smart web application

A review on object detection in unmanned aerial vehicle surveillance

Diabetic retinopathy detection using principal component analysis multi-label feature extraction and classification

Segmentation and classification of brain tumor using 3D-UNet deep neural networks

Deep learning based assistive technology on audio visual speech recognition for hearing impaired

Microarray cancer feature selection: Review, challenges and research directions

Multi-class sentiment classification on Bengali social media comments using machine learning

A review of the application of deep learning in the detection of Alzheimer's disease

Exploring the potential of 3D scanning in Industry 4.0: An overview

Automatic COVID-19 prediction using explainable machine learning techniques

Exploring generative adversarial networks and adversarial training

Type 2: Diabetes mellitus prediction using Deep Neural Networks classifier

1D Convolution approach to human activity recognition using sensor data and comparison with machine learning algorithms

An unsupervised deep learning ensemble model for anomaly detection in static attributed social networks

Evolutionary trends in progressive cloud computing based healthcare: Ideas, enablers, and barriers

Application of machine learning based algorithm for prediction of malnutrition among women in Bangladesh

Developing Turkish sentiment analysis models using machine learning and e-commerce data

Continuous word level sign language recognition using an expert system based on machine learning

Image cyberbullying detection and recognition using transfer deep machine learning

Comparison of multiclass classification techniques using dry bean dataset

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.