activity
20222026
most citedDecision support system for Forest fire management using Ontology with Big Data and LLMs

9 citations · 16 across the 14 of their papers we have counts for

collaborators

15 papers

cs.LG2026

Ontology-Based Knowledge Modeling and Uncertainty-Aware Outdoor Air Quality Assessment Using Weighted Interval Type-2 Fuzzy Logic

Md Inzmam, Ritesh Chandra, Sadhana Tiwari +2

Outdoor air pollution is a major concern for the environment and public health, especially in areas where urbanization is taking place rapidly. The Indian Air Quality Index (IND-AQ…

cs.DC2025

A Review of Ontology-Driven Big Data Analytics in Healthcare: Challenges, Tools, and Applications

Ritesh Chandra, Sonali Agarwal, Navjot Singh +1

Exponential growth in heterogeneous healthcare data arising from electronic health records (EHRs), medical imaging, wearable sensors, and biomedical research has accelerated the ad…

cs.DB2025

Real-Time Health Analytics Using Ontology-Driven Complex Event Processing and LLM Reasoning: A Tuberculosis Case Study

Ritesh Chandra, Sonali Agarwal, Navjot Singh

Timely detection of critical health conditions remains a major challenge in public health analytics, especially in Big Data environments characterized by high volume, rapid velocit…

cs.DC2025★ 1 cited

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics

Ritesh Chandra, Sonali Agarwal, Shashi Shekhar Kumar +1

The exponential expansion of real-time data streams across multiple domains needs the development of effective event detection, correlation, and decision-making systems. However, c…

cs.LG2025

Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions

Himanshi Singh, Sadhana Tiwari, Sonali Agarwal +3

Individual's general well-being is greatly impacted by mental health conditions including depression and Post-Traumatic Stress Disorder (PTSD), underscoring the importance of early…

cs.LG2025

Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia

Himanshi Singh, Sadhana Tiwari, Sonali Agarwal +3

This study investigates the potential of multimodal data integration, which combines electroencephalogram (EEG) data with sociodemographic characteristics like age, sex, education,…

cs.AI2024

Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing

Shashi Shekhar Kumar, Anurag Harsh, Ritesh Chandra +1

Cardiovascular disease (CVDs) is a rapidly rising global concern due to unhealthy diets, lack of physical activity, and other factors. According to the World Health Organization (W…

cs.AI2024

MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI

Shyam Dongre, Ritesh Chandra, Sonali Agarwal

In modern healthcare, addressing the complexities of accurate disease prediction and personalized recommendations is both crucial and challenging. This research introduces MLtoGAI,…

cs.AI2024★ 9 cited

Decision support system for Forest fire management using Ontology with Big Data and LLMs

Ritesh Chandra, Shashi Shekhar Kumar, Rushil Patra +1

Forests are crucial for ecological balance, but wildfires, a major cause of forest loss, pose significant risks. Fire weather indices, which assess wildfire risk and predict resour…

cs.CY2024

Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City

Shashi Shekhar Kumar, Ritesh Chandra, Sonali Agarwal

In recent years, smart city-based development has gained momentum due to its versatile nature in architecture and planning for the systematic habitation of human beings. According…

cs.AI2023★ 2 cited

A Diagnosis and Treatment of Liver Diseases: Integrating Batch Processing, Rule-Based Event Detection and Explainable Artificial Intelligence

Ritesh Chandra, Sadhana Tiwari, Satyam Rastogi +1

Liver diseases pose a significant global health burden, impacting many individuals and having substantial economic and social consequences. Rising liver problems are considered a f…

cs.DB2023★ 1 cited

A Real-Time Approach for Smart Building Operations Prediction Using Rule-Based Complex Event Processing and SPARQL Query

Shashi Shekhar Kumar, Ritesh Chandra, Sonali Agarwal

Due to intelligent, adaptive nature towards various operations and their ability to provide maximum comfort to the occupants residing in them, smart buildings are becoming a pionee…

cs.AI2023★ 2 cited

Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules

Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal +1

Vector-borne diseases (VBDs) are a kind of infection caused through the transmission of vectors generated by the bites of infected parasites, bacteria, and viruses, such as ticks,…

q-bio.PE2022

Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach

Sadhana Tiwari, Ritesh Chandra, Sonali Agarwal

SARS-COV-19 is the most prominent issue which many countries face today. The frequent changes in infections, recovered and deaths represents the dynamic nature of this pandemic. It…

cs.AI2022★ 1 cited

Semantic Sensor Network Ontology based Decision Support System for Forest Fire Management

Ritesh Chandra, Kumar Abhishek, Sonali Agarwal +1

The forests are significant assets for every country. When it gets destroyed, it may negatively impact the environment, and forest fire is one of the primary causes. Fire weather i…