Machine Learning Enabled Smart Farming: The Demand of the Time
As we all know that population is increasing day by day; simultaneously we need increase in
agro production so that India should be self reliance in the field of production of all types of …
agro production so that India should be self reliance in the field of production of all types of …
User story splitting in agile software development using machine learning approach
User story forms the requirements for agile software development in textual format. The user
story should be in the proper template so that developers can implement it easily. The …
story should be in the proper template so that developers can implement it easily. The …
A Comparative Analysis on Machine Learning based Brain Tumor Detection Techniques
It has been observed that finding an anomaly, like a fracture in a bone or unwanted growth
in an organ of human being, has been easier since the advent of advanced technologies …
in an organ of human being, has been easier since the advent of advanced technologies …
Iot Based Machine Learning Framework for COVID-19 Management
Monitoring COVID-19 patients and making predictions is still a difficult task, even after a few
years of a serious pandemic crisis. Moreover, it is also challenging to manage the COVID-19 …
years of a serious pandemic crisis. Moreover, it is also challenging to manage the COVID-19 …
Predicting Lumpy Skin Disease using Various Machine Learning Models
As infection with the virus of lumpy skin disease, which causes acute or subacute sickness in
cattle and the population of water buffalo, poses a serious threat to the cattle industry …
cattle and the population of water buffalo, poses a serious threat to the cattle industry …
Modified genetic algorithm using Pontryagin's minimum principle to optimize feature selection and classification for breast cancer detection
Breast cancer is a highly lethal form of cancer globally. The use of artificial intelligence (AI)
technology holds great promise for improving the early detection and diagnosis of breast …
technology holds great promise for improving the early detection and diagnosis of breast …
Machine Learning-Based Approaches for Breast Cancer Prediction Model: Study and Evaluation of Performance
V Solanki, A Ghai, RK Sachdeva… - 2023 International …, 2023 - ieeexplore.ieee.org
Women die worldwide frequency rate from breast cancer also called breast carcinoma is
very high in today's era. In this research, machine learning (ML) methods for a breast cancer …
very high in today's era. In this research, machine learning (ML) methods for a breast cancer …
Machine Learning-Driven Breast Cancer Diagnosis Software Integrated with Explainable Artificial Intelligence Based on Fine Needle Aspirate Findings
TPL Bachini, MSA Magboo, VPC Magboo - International Conference on …, 2023 - Springer
Breast cancer is typically the most frequently diagnosed malignancy and the prime reason
for cancer-related deaths in women worldwide hence a precise determination of breast …
for cancer-related deaths in women worldwide hence a precise determination of breast …
Machine Learning-Based Cyber Intrusion Detection System for Internet of Medical Things Attacks in Healthcare Environments
In this chapter, the authors calculate the accuracy value of machine learning models for
combined, network, bio-medical data. The result shows that random forest has the highest …
combined, network, bio-medical data. The result shows that random forest has the highest …