Software fault prediction using evolving populations with mathematical diversification

S Goyal - Soft Computing, 2022 - Springer
Software fault prediction (SFP) plays a vital role into fostering high quality throughout the
software development process. It allows to identify the fault-prone modules in early …

Effective software effort estimation using heterogenous stacked ensemble

S Goyal - 2022 IEEE International Conference on Signal …, 2022 - ieeexplore.ieee.org
Software Effort Estimation (SEE) estimates the effort required to complete the project
successfully. The accuracy of estimation is directly proportional to the project success. This …

Predicting the heart disease using machine learning techniques

S Goyal - ICT Analysis and Applications: Proceedings of ICT4SD …, 2022 - Springer
Heart disease refers to the condition when the heart is not capable to push required amount
of blood to the entire body. Heart disease (HD) is the prevailing reason behind deaths …

Ev-MDP: a novel metaheuristic technique for heart disease detection

S Goyal - 2023 International Conference on Device Intelligence …, 2023 - ieeexplore.ieee.org
Heart Disease (HD) refers to a wide range of Cardio Vascular Diseases (CVD) that may be
plaque deposits in the arteries or any other abnormality in the heart or blood vessels. Such …

Artificial intelligence-based healthcare industry 4.0 for disease detection using machine learning techniques

S Goyal - Artificial Intelligence in Medical Virology, 2023 - Springer
Abstract Smart Healthcare Solutions are prevailing in this technological evolving era of
Industry 4.0. Healthcare Intelligence has been embedded within excellent Decision Support …

Predicting the tomato plant disease using deep learning techniques

RB Trivedi, D Mittal, A Sahani, CV Fernandes… - … Conference on Frontiers …, 2022 - Springer
Plant disease refers to the condition when the crop is not capable to yield fully. Plant disease
is the prevailing reason behind the damage of crops. Early prediction of plant diseases can …

Breast Cancer Detection Using Machine Learning

S Goyal, M Sinha, S Nath, S Mitra, C Arora - Communication, Software and …, 2022 - Springer
Through studies and statistics, it has been found that these days, breast cancer is the most
common cancer leading to frequent deaths among women. Early screening and subsequent …

A Novel Technique for Converting Images from 2D to 3D using Deep Neural Networks

VS Kulkarni, RB Trivedi… - … Conference on Innovative …, 2023 - ieeexplore.ieee.org
The conversion of 2D images into 3D images has been a crucial scientific problem. In the
industries of computer graphics and animations, medical imaging augmented and virtual …

Plant disease detection using deep learning techniques

A Behera, S Goyal - International Conference on Information Systems and …, 2022 - Springer
Loss in food production due to various viruses or bacteria in the crops is one of the
prevailing issues in global agriculture. In order to improve the production, reduce the loss …

A software defect prediction approach by Cat Hunting Optimization (CHO) algorithm and deep learning based on the GAN-VGG16 networks

A Ghaedi, A Khatibi Bardsiri… - Mehdi, A Software …, 2023 - papers.ssrn.com
Software projects need a strong programming team, time, cost, and experience to succeed.
In many software projects, the project progress factors need to be better provided, and the …