An Optimized Hybrid Solution for IoT Based Lifestyle Disease Classification Using Stress Data. - Sadhana Tiwari; Ritesh Chandra; Sonali Agarwal (ICONIP (7), 2022)

Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach. - Sadhana Tiwari; Ritesh Chandra; Sonali Agarwal (CoRR, 2022)

Semantic sensor network ontology based decision support system for forest fire management. - Ritesh Chandra; Sonali Agarwal; Navjot Singh (Ecol. Informatics, 2022)

A Personalized Cancer Diagnosis using Text based Clinical Data with Machine Learning Models. - Anand Geed; Ritesh Chandra; Sadhana Tiwari; Sonali Agarwal; Krishna Pratap Singh (OCIT, 2023)

AI-Enabled Learning for Imbalanced Class Data using Spark Streaming Concepts. - Sadhana Tiwari; Mohammad Zohair; Ritesh Chandra; Sonali Agarwal; Parikshit Agarwal (OCIT, 2023)

Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules. - Ritesh Chandra; Sadhana Tiwari; Sonali Agarwal; Navjot Singh (CoRR, 2023)

A Decision Support System for Liver Diseases Prediction: Integrating Batch Processing, Rule-Based Event Detection and SPARQL Query. - Ritesh Chandra; Sadhana Tiwari; Satyam Rastogi; Sonali Agarwal (CoRR, 2023)

Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules. - Ritesh Chandra; Sadhana Tiwari; Sonali Agarwal; Navjot Singh (Knowl. Based Syst., 2023)

An Enhancement of Breast Cancer Abnormalities Detection Using Deep CNN. - Ritesh Chandra; Shashi Shekhar Kumar; Sadhana Tiwari; Rushil Patra; Sonali Agarwal (OCIT, 2024)

Geolocated Event Detection using Graph Mining Approach on Real-Time Multimodal Data. - Medha Mishra; Sadhana Tiwari; Ritesh Chandra; Sonali Agarwal; Sanjay Kumar Sonbhadra (ICCCNT, 2024)

Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City. - Shashi Shekhar Kumar; Ritesh Chandra; Sonali Agarwal (CoRR, 2024)

Decision support system for Forest fire management using Ontology with Big Data and LLMs. - Ritesh Chandra; Shashi Shekhar Kumar; Rushil Patra; Sonali Agarwal (CoRR, 2024)

MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI. - Shyam Dongre; Ritesh Chandra; Sonali Agarwal (CoRR, 2024)

Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing. - Shashi Shekhar Kumar; Anurag Harsh; Ritesh Chandra; Sonali Agarwal (CoRR, 2024)

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 (J. Supercomput., 2024)

Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia. - Himanshi Singh; Sadhana Tiwari; Sonali Agarwal; Ritesh Chandra; Sanjay Kumar Sonbhadra; Vrijendra Singh (CoRR, 2025)

Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions. - Himanshi Singh; Sadhana Tiwari; Sonali Agarwal; Ritesh Chandra; Sanjay Kumar Sonbhadra; Vrijendra Singh (CoRR, 2025)

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics. - Ritesh Chandra; Sonali Agarwal; Shashi Shekhar Kumar; Navjot Singh (CoRR, 2025)

A diagnosis and treatment of liver diseases: integrating batch processing, rule-based event detection and explainable artificial intelligence. - Ritesh Chandra; Sadhana Tiwari; Satyam Rastogi; Sonali Agarwal (Evol. Syst., 2025)