An approach for feature selection using local searching and global optimization techniques. - Sadhana Tiwari; Birmohan Singh; Manpreet Kaur 001 (Neural Comput. Appl., 2017)

A Shrewd Artificial Neural Network-Based Hybrid Model for Pervasive Stress Detection of Students Using Galvanic Skin Response and Electrocardiogram Signals. - Sadhana Tiwari; Sonali Agarwal (Big Data, 2021)

Emotional Status Determination using Physiological Parameters Data Set. - Sadhana Tiwari; Sonali Agarwal (IEEE DataPort, 2021)

Adaptive ISI Mitigation for Mobile Molecular Communications. - Mahendra Singh Thakur; Reena Disawal; Sadhana Tiwari; Aabha Jain (ANTS, 2022)

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

Empirical Analysis of Lifelog Data using Optimal Feature Selection based Unsupervised Logistic Regression (OFS-ULR) Model with Spark Streaming. - Sadhana Tiwari; Sonali Agarwal (CoRR, 2022)

An optimized hybrid solution for IoT based lifestyle disease classification using stress data. - Sadhana Tiwari; Sonali Agarwal (CoRR, 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)

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)

Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. - Yash Patel; Sadhana Tiwari; Sanjay Kumar Sonbhadra; Sonali Agarwal (IJCNN, 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)

Empirical analysis of chronic disease dataset for multiclass classification using optimal feature selection based hybrid model with spark streaming. - Sadhana Tiwari; Sonali Agarwal (Future Gener. Comput. Syst., 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)

Melanoma Classification using GAN based augmentation and Self-Supervised feature extraction. - Akanksha Lal; Sadhana Tiwari; Rushil Patra; Sonali Agarwal (IEEE Big Data, 2024)

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)

Ontology-Based Forest Fire Management Using Complex Event Processing and Large Language Models. - Ritesh Chandra; Sonali Agarwal; Sadhana Tiwari (DEXA (1), 2025)

Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions. - Himanshi Singh; Sadhana Tiwari; Ritesh Chandra; Sonali Agarwal; Sanjay Kumar Sonbhadra; Vrijendra Singh (DEXA (1), 2025)

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)

Multimodal image fusion on ECG signals for congestive heart failure classification. - Riya Panchal; Sadhana Tiwari; Sonali Agarwal (Multim. Tools Appl., 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)