RunsGuard Framework: Context Aware Cricket Game Strategy for Field Placement and Score Containment

A Hussain, S Arshad, A Hassan - Applied Sciences, 2024 - mdpi.com
Sports analytics utilizes data analysis techniques and computational methods to gain
insights, make informed decisions, and facilitate improvements in the performance of …

Machine learning based approach for predicting house price in real estate

MA Shaik, P Praveen, TS Kumar, M Parveen… - AIP Conference …, 2024 - pubs.aip.org
The proposed application must assist a targeted user to obtaining real estate property
information with elegant correctness and precise output. By implementing the proposed …

The role of internet of things and artificial intelligence in smart health care

B Swathi, M Soumya, K Dhandapani… - AIP Conference …, 2024 - pubs.aip.org
The practice of Machine learning and the Internet of things have occupied a significant role
in day to day life of human beings. These two trending technologies are simplifying and …

Machine learning predictions for finding depression in Twitter

B Chiranjeevi, V Tejaswini, A Mahesh… - AIP Conference …, 2024 - pubs.aip.org
Expecting sadness be capable of alleviate catastrophe. Many mechanisms encompass
been projected up to now by means of Machine-Learning (ML) methods.. The aspire of this …

Ensemble model based prediction of hypothyroid disease using through ML approaches

MA Shaik, P Pappula, TS Kumar… - AIP Conference …, 2024 - pubs.aip.org
In the present era most of the people are effected with hypothyroid disease. People who are
of age 13 and above are more effected with this disease and day by day it is transforming …

Predicting natural increase of water level using machine learning

M Sruthi, T Sravanthi, MA Shaik, C Padmaja… - AIP Conference …, 2024 - pubs.aip.org
Since heavy rain can beget numerous disasters, downfall vaticination is pivotal. The cast
should be accurate, and it also encourages people to take preventives. For nations like …

Classification of diabetes mellitus prediction using hybrid machine learning techniques

G Aruna, M Umalwara, V Tejaswini… - AIP Conference …, 2024 - pubs.aip.org
Diabetes mellitus, also called diabetes, is a class of metabolic diseases that affects
hundreds of millions of mankind. It is an extra discoverer of a variety of diseases, for …

Machine learning algorithms to predict Hiv-related chronic kidney disease

K Chandhar, ST Reddy, A Sandeep… - AIP Conference …, 2024 - pubs.aip.org
Chronic renal illness that persists Due to its extreme severity and high mortality rate, chronic
renal disease may be the most well-known clinical condition. In the early phases of chronic …

An investigation of the techniques implemented by recommender systems

SK Komuravelly, SK Komuravelly, JJC Yadav… - AIP Conference …, 2024 - pubs.aip.org
Online reviews are a popular way for buyers to learn more about products before making a
purchase decision. These reviews are based on the opinions of both former consumers and …

Modified arithmetic optimization with fusion based deep learning for chronic kidney disease classification on internet of medical environment

TB Prasad Reddy, CP Venkata Srinivasa Rao… - AIP Conference …, 2024 - pubs.aip.org
Nowadays, Internet of Medical Things (IoMT) and cloud computing (CC) is typically used in
various healthcare requests by the amalgamation of intensive care objects like medical …