Gravitational Search Algorithm: Theory, Literature Review, and Applications

A Hashemi, MB Dowlatshahi… - Handbook of AI-based …, 2021 - taylorfrancis.com
Today, many metaheuristics algorithms have been developed are inspired by the physical
phenomena or behaviors of natural creatures that are very effective in solving complex …

[HTML][HTML] DeepFog: Fog Computing-Based Deep Neural Architecture for Prediction of Stress Types, Diabetes and Hypertension Attacks

R Priyadarshini, RK Barik, H Dubey - Computation, 2018 - mdpi.com
The use of wearable and Internet-of-Things (IoT) for smart and affordable healthcare is
trending. In traditional setups, the cloud backend receives the healthcare data and performs …

FogLearn: leveraging fog-based machine learning for smart system big data analytics

RK Barik, R Priyadarshini, H Dubey… - International Journal of …, 2018 - igi-global.com
Big data analytics with the cloud computing are one of the emerging area for processing and
analytics. Fog computing is the paradigm where fog devices help to reduce latency and …

A rule-based monitoring system for accurate prediction of diabetes: monitoring system for diabetes

AK Srivastava, Y Kumar, PK Singh - … Journal of E-Health and Medical …, 2020 - igi-global.com
Diabetes is a chronic disease that can affect the life of people due to high sugar level in their
blood. The sugar level is increased due to a lack of production of insulin in the human body …

Leveraging machine learning in mist computing telemonitoring system for diabetes prediction

RK Barik, R Priyadarshini, H Dubey, V Kumar… - Advances in Data and …, 2018 - Springer
Big data analytics with the help of cloud computing is one of the emerging areas for
processing and analytics in healthcare system. Mist computing is one of the paradigms …

Humanoid path planning on even and uneven terrains using an efficient memory-based gravitational search algorithm and evolutionary learning strategy

Vikas, DR Parhi - … of the Institution of Mechanical Engineers …, 2024 - journals.sagepub.com
The increasing demand for automation and material transportation has shown an incline
toward optimal path navigation. The present work implements an intelligent Memory-based …

A Hybrid Approach for Diabetes Prediction and Risk Analysis Using Data Mining

Bhavna, R Verma, R Handa, V Puri - Advances in Communication and …, 2021 - Springer
With the increase in patients suffering from diabetes, early detection and prediction of
diabetes are the major area of concern. In this study, we propose a hybrid model using data …

Developing a classifier model to analyze and predict cancer mellitus

K Suresh, SV Sugin, V Kavitha - AIP Conference Proceedings, 2022 - pubs.aip.org
The main objective of this paper is to be lowered to a minimum of delay and not to provide
an early forecast of cancer of lung cancer in patients, but also and not to reduce the need for …

Hybrid Cuckoo Search Approach for Course Time-Table Generation Problem

S Mallick, D Majumdar, S Mukherjee… - International Journal of …, 2020 - igi-global.com
Course time-table generation (CTTG) is a combinatorial optimization problem which largely
fits into the family of scheduling problems. It attempts to schedule a number of subjects to …