A data mining framework to analyze road accident data. - Sachin Kumar 001; Durga Toshniwal (J. Big Data, 2015)

A novel framework to analyze road accident time series data. - Sachin Kumar 001; Durga Toshniwal (J. Big Data, 2016)

Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC). - Sachin Kumar 001; Durga Toshniwal (J. Big Data, 2016)

Road-User Specific Analysis of Traffic Accident Using Data Mining Techniques. - Prayag Tiwari; Sachin Kumar 001; Denis Kalitin (CICBA (2), 2017)

Passenger Abnormal Behaviour Detection using Machine Learning Approach. - Sonal Dabral; Amit Agarwal; Sachin Kumar 001; Bhaskar Gautam (RICE, 2017)

A Conjoint Analysis of Road Accident Data using K-modes Clustering and Bayesian Networks (Road Accident Analysis using clustering and classification). - Sachin Kumar 001; Vijay Bhaskar Semwal; Vijender Kumar Solanki; Prayag Tiwari; Denis Kalitin (RICE, 2017)

A comparative analysis of heterogeneity in road accident data using data mining techniques. - Sachin Kumar 001; Durga Toshniwal; Manoranjan Parida (Evol. Syst., 2017)

Implementation of n-gram Methodology for Rotten Tomatoes Review Dataset Sentiment Analysis. - Prayag Tiwari; Brojo Kishore Mishra; Sachin Kumar 001; Vivek Kumar 007 (Int. J. Knowl. Discov. Bioinform., 2017)

Responsible Factors of Powered Two Wheeler Accidents: A Review. - Sachin Kumar 001; Bharti Sharma; Marina I. Nezhurina (RICE, 2018)

Sentiment Analysis on Tweets for Trains Using Machine Learning. - Sachin Kumar 001; Marina I. Nezhurina (SoCPaR, 2018)

Augmenting Classifiers Performance through Clustering: A Comparative Study on Road Accident Data. - Sachin Kumar 001; Prayag Tiwari; Kalitin Vladimirovich Denis (Int. J. Inf. Retr. Res., 2018)

ANN based short-term traffic flow forecasting in undivided two lane highway. - Bharti Sharma; Sachin Kumar 001; Prayag Tiwari; Pranay Yadav; Marina I. Nezhurina (J. Big Data, 2018)

An Approach to Fuzzy Clustering of Big Data Inside a Parallel Relational DBMS. - Mikhail L. Zymbler; Yana Kraeva; Alexander Grents; Anastasiya Perkova; Sachin Kumar 001 (DAMDID/RCDL (Selected Papers), 2019)

Big Data Processing and Analytics Inside DBMS. - Mikhail L. Zymbler; Sachin Kumar 001; Yana Kraeva; Alexander Grents; Anastasiya Perkova (DAMDID/RCDL, 2019)

Delay Optimization Using Genetic Algorithm at the Road Intersection. - Bharti Sharma; Sachin Kumar 001 (Int. J. Inf. Retr. Res., 2019)

Twitter-based Opinion Mining for Flight Service utilizing Machine Learning. - Prayag Tiwari; Hari Mohan Pandey; Aditya Khamparia; Sachin Kumar 001 (Informatica (Slovenia), 2019)

An ensemble classification approach for prediction of user's next location based on Twitter data. - Sachin Kumar 001; Marina I. Nezhurina (J. Ambient Intell. Humaniz. Comput., 2019)

Internet of Things is a revolutionary approach for future technology enhancement: a review. - Sachin Kumar 001; Prayag Tiwari; Mikhail L. Zymbler (J. Big Data, 2019)

A machine learning approach to analyze customer satisfaction from airline tweets. - Sachin Kumar 001; Mikhail L. Zymbler (J. Big Data, 2019)

Security Challenges and Cyber Forensic Ecosystem in IoT Driven BYOD Environment. - Md Iman Ali; Sukhkirandeep Kaur; Aditya Khamparia; Deepak Gupta 002; Sachin Kumar 001; Ashish Khanna; Fadi Al-Turjman 001 (IEEE Access, 2020)

Analyzing MRI scans to detect glioblastoma tumor using hybrid deep belief networks. - Annapareddy V. N. Reddy; Ch. Phani Krishna; Pradeep Kumar Mallick; Sandeep Kumar Satapathy; Prayag Tiwari; Mikhail L. Zymbler; Sachin Kumar 001 (J. Big Data, 2020)

Deep Learning-Based Smart IoT Health System for Blindness Detection Using Retina Images. - Amit Kumar Jaiswal; Prayag Tiwari; Sachin Kumar 001; Mabrook S. Al-Rakhami; Mubarak Alrashoud; Ahmed Ghoneim (IEEE Access, 2021)

Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems. - Romany Fouad Mansour; Adnen El-Amraoui; Issam Nouaouri; Vicente García-Díaz; Deepak Gupta 002; Sachin Kumar 001 (IEEE Access, 2021)

A Novel Borda Count based Feature Ranking and Feature Fusion Strategy to Attain Effective Climatic Features for Rice Yield Prediction. - Subhadra Mishra; Debahuti Mishra; Pradeep Kumar Mallick; Gour Hari Santra; Sachin Kumar 001 (Informatica (Slovenia), 2021)

A Classifier Ensemble Approach for Prediction of Rice Yield based on Climatic Variability for Coastal Odisha Region of India. - Subhadra Mishra; Debahuti Mishra; Pradeep Kumar Mallick; Gour Hari Santra; Sachin Kumar 001 (Informatica (Slovenia), 2021)

Unsupervised Deep Learning based Variational Autoencoder Model for COVID-19 Diagnosis and Classification. - Romany Fouad Mansour; José Escorcia-Gutierrez; Margarita Gamarra; Deepak Gupta 002; Oscar Castillo 001; Sachin Kumar 001 (Pattern Recognit. Lett., 2021)

A Novel Algorithmic Forex Trade and Trend Analysis Framework Based on Deep Predictive Coding Network Optimized with Reptile Search Algorithm. - Swaty Dash; Pradip Kumar Sahu; Debahuti Mishra; Pradeep Kumar Mallick; Bharti Sharma; Mikhail L. Zymbler; Sachin Kumar 001 (Axioms, 2022)

Brain Tumor Classification Using Dense Efficient-Net. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Mikhail L. Zymbler; Sachin Kumar 001 (Axioms, 2022)

Botnet Detection Employing a Dilated Convolutional Autoencoder Classifier with the Aid of Hybrid Shark and Bear Smell Optimization Algorithm-Based Feature Selection in FANETs. - Nejood Faisal Abdulsattar; Firas Abedi; Hayder M. A. Ghanimi; Sachin Kumar 001; Ali Hashim Abbas; Ali S. Abosinnee; Ahmed Alkhayyat 001; Mustafa Hamid Hassan; Fatima Hashim Abbas (Big Data Cogn. Comput., 2022)

Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification. - Thavavel Vaiyapuri; Haya Alaskar; Liyakathunisa Syed; Eman Aljohani; Ahmed Alkhayyat 001; K. Shankar 002; Sachin Kumar 001 (Comput. Electr. Eng., 2022)

Robust Automatic Modulation Classification Using Convolutional Deep Neural Network Based on Scalogram Information. - Ahmed Mohammed Abdulkarem; Firas Abedi; Hayder M. A. Ghanimi; Sachin Kumar 001; Waleed Khalid Al-Azzawi; Ali Hashim Abbas; Ali S. Abosinnee; Ihab Mahdi Almaameri; Ahmed Alkhayyat 001 (Comput., 2022)

Botanical Leaf Disease Detection and Classification Using Convolutional Neural Network: A Hybrid Metaheuristic Enabled Approach. - Madhumini Mohapatra; Ami Kumar Parida; Pradeep Kumar Mallick; Mikhail L. Zymbler; Sachin Kumar 001 (Comput., 2022)

Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Dilip Kumar Bagal; Sachin Kumar 001 (Comput., 2022)

Exploring the Parametric Impact on a Deep Learning Model and proposal of a 2-Branch CNN for Diabetic Retinopathy Classification with Case Study in IoT-Blockchain based Smart Healthcare System. - Manaswini Jena; Debahuti Mishra; Smita Prava Mishra; Pradeep Kumar Mallick; Sachin Kumar 001 (Informatica (Slovenia), 2022)

A Tailored Particle Swarm and Egyptian Vulture Optimization-Based Synthetic Minority-Oversampling Technique for Class Imbalance Problem. - Subhashree Rout; Pradeep Kumar Mallick; Annapareddy V. N. Reddy; Sachin Kumar 001 (Inf., 2022)

Energy Aware Resource Optimization using Unified Metaheuristic Optimization Algorithm Allocation for Cloud Computing Environment. - Fahd N. Al-Wesabi; Marwa Ismael Obayya; Manar Ahmed Hamza; Jaber S. Alzahrani; Deepak Gupta 002; Sachin Kumar 001 (Sustain. Comput. Informatics Syst., 2022)

Intelligent data science enabled reactive power optimization of a distribution system. - Ahmed Althobaiti; Abdullah Alhumaidi Alotaibi; Sayed Abdel-Khalek; Elsaid M. Abdelrahim; Romany Fouad Mansour; Deepak Gupta 002; Sachin Kumar 001 (Sustain. Comput. Informatics Syst., 2022)

Automated Segmentation of Brain Tumor MRI Images Using Deep Learning. - Surendran Rajendran; Sureshkumar Rajagopal; Tamilvizhi Thanarajan; K. Shankar 002; Sachin Kumar 001; Najah M. Alsubaie; Mohamad Khairi Ishak; Samih Mohemmed Mostafa (IEEE Access, 2023)

Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT. - Thavavel Vaiyapuri; K. Shankar 002; Surendran Rajendran; Sachin Kumar 001; Srijana Acharya; Hyunil Kim (IEEE Access, 2023)

Edge-Empowered Communication-Based Vehicle and Pedestrian Trajectory Perception System for Smart Cities. - Suresh Chavhan; Sachin Kumar 001; Deepak Gupta 002; Ahmed Alkhayyat 001; Ashish Khanna; Ramachandran Manikandan (IEEE Internet Things J., 2023)

Edge-Enabled Blockchain-Based V2X Scheme for Secure Communication Within the Smart City Development. - Suresh Chavhan; Sachin Kumar 001; Prayag Tiwari; Xueqin Liang; Ik Hyun Lee; Khan Muhammad 001 (IEEE Internet Things J., 2023)

Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review. - Sita Rani; Aman Kataria; Sachin Kumar 001; Prayag Tiwari (Knowl. Based Syst., 2023)

Survivability of industrial internet of things using machine learning and smart contracts. - Ishaani Priyadarshini; Raghvendra Kumar 001; Ahmed Alkhayyat 001; Rohit Sharma 002; Kusum Yadav; Lulwah M. Alkwai; Sachin Kumar 001 (Comput. Electr. Eng., 2023)

Artificial intelligence with big data analytics-based brain intracranial hemorrhage e-diagnosis using CT images. - Romany Fouad Mansour; José Escorcia-Gutierrez; Margarita Gamarra; Vicente García-Díaz; Deepak Gupta 002; Sachin Kumar 001 (Neural Comput. Appl., 2023)

SDN and application layer DDoS attacks detection in IoT devices by attention-based Bi-LSTM-CNN. - Ishaani Priyadarshini; Pinaki Mohanty; Ahmed Alkhayyat 001; Rohit Sharma 002; Sachin Kumar 001 (Trans. Emerg. Telecommun. Technol., 2023)

An Improved Deep Learning Framework for Multimodal Medical Data Analysis. - Sachin Kumar 001; Shivani Sharma (Big Data Cogn. Comput., 2024)

Correction: Nayak et al. Brain Tumour Classification Using Noble Deep Learning Approach with Parametric Optimization through Metaheuristics Approaches. Computers 2022, 11, 10. - Dillip Ranjan Nayak; Neelamadhab Padhy; Pradeep Kumar Mallick; Dilip Kumar Bagal; Sachin Kumar 001 (Comput., 2024)

An efficient and secure CLAKA protocol for blockchain-aided wireless body area networks. - Anuj Kumar Singh; Sachin Kumar 001 (Expert Syst. Appl., 2024)

SmartHealth: An intelligent framework to secure IoMT service applications using machine learning. - Sita Rani; Sachin Kumar 001; Aman Kataria; Hong Min (ICT Express, 2024)

Brain image segmentation with fuzzy entropy clustering and PSO-GWO optimization techniques. - Gouri Sankar Nayak; Pradeep Kumar Mallick; Neelmadhab Padhi; Manas Ranjan Mohanty; Sachin Kumar 001; Prasanalakshmi Balaji (Intell. Decis. Technol., 2024)

An efficient fine-grained searchable encryption for secure communication in IoT-based vehicular social networks. - Mamta; Shivani Sharma; Sachin Kumar 001 (Trans. Emerg. Telecommun. Technol., 2024)

Automated cyberattack detection using optimal ensemble deep learning model. - Thavavel Vaiyapuri; K. Shankar 002; Surendran Rajendran; Sachin Kumar 001; Vimal Gaur; Deepak Gupta 002; Meshal Alharbi (Trans. Emerg. Telecommun. Technol., 2024)

Dynamic Sensor Scheduling for Data Size Reduction in a Sensor Cloud System Based on Minimum Reconstruction Error. - N. Shylashree; Sachin Kumar 001 (Wirel. Pers. Commun., 2024)

Federated Learning-Based Misbehavior Detection for the 5G-Enabled Internet of Vehicles. - Preeti Rani; Chandani Sharma; Janjhyam Venkata Naga Ramesh; Sonia Verma; Rohit Sharma 002; Ahmed Alkhayyat 001; Sachin Kumar 001 (IEEE Trans. Consumer Electron., 2024)

Robust Seizure Prediction Model Using EEG Signal for Temporal Lobe Epilepsy Leveraging Deep Learning and Continual Learning. - Bikash Chandra Sahoo; Shruti Mishra; Sandeep Kumar Satapathy; Sachin Kumar 001 (IEEE Access, 2025)

A new generation cyber-physical system: A comprehensive review from security perspective. - Sita Rani; Aman Kataria; Sachin Kumar 001; Vinod Karar (Comput. Secur., 2025)

Transformer enabled multi-modal medical diagnosis for tuberculosis classification. - Sachin Kumar 001; Shivani Sharma; Kassahun Tadesse Megra (J. Big Data, 2025)