Comparative Study for Brain Tumor Classification on MR/CT Images. - Ankit Vidyarthi; Namita Mittal (SocProS (1), 2013)

Classification of brain tumours Using Genetic Algorithms as a Feature Selection Method (GAFS). - Harsha Gwalani; Namita Mittal; Ankit Vidyarthi (ICIA, 2016)

AVNM: A Voting based Novel Mathematical Rule for Image Classification. - Ankit Vidyarthi; Namita Mittal (Comput. Methods Programs Biomed., 2016)

Texture based feature extraction method for classification of brain tumor MRI. - Ankit Vidyarthi; Namita Mittal (J. Intell. Fuzzy Syst., 2017)

Classification of Breast Microscopic Imaging using Hybrid CLAHE-CNN Deep Architecture. - Ankit Vidyarthi; Jatin Shad; Shubham Sharma; Paridhi Agarwal (IC3, 2019)

Performance Evaluation of Jaipur Knee Joint through Kinematics and Kinetics Gait Symmetry with Unilateral Transfemoral Indian Amputees. - Pawan Mishra; Sachin Singh; Vinayak Ranjan; Sonu Singh; Ankit Vidyarthi (J. Medical Syst., 2019)

Multi-scale dyadic filter modulation based enhancement and classification of medical images. - Ankit Vidyarthi (Multim. Tools Appl., 2020)

Malignancy Grade Identification and Classification of Brain MR Images with New 2D Co-occurrence Matrix and Wavelet Transformation. - Ankit Vidyarthi; Jyoti Nagpal (IC3, 2021)

Recognizing human violent action using drone surveillance within real-time proximity. - Anugrah Srivastava; Tapas Badal; Apar Garg; Ankit Vidyarthi; Rishav Singh (J. Real Time Image Process., 2021)

Deep assisted dense model based classification of invasive ductal breast histology images. - Ankit Vidyarthi; Aarya Patel (Neural Comput. Appl., 2021)

Prognosticating the effect on Unemployment rate in the post-pandemic India via Time-Series Forecasting and Least Squares Approximation. - Ashutosh Agrahari; Pawan Singh; Ankur Veer; Anshuman Singh; Ankit Vidyarthi; Baseem Khan (Pattern Recognit. Lett., 2021)

VMShield: Memory Introspection-Based Malware Detection to Secure Cloud-Based Services Against Stealthy Attacks. - Preeti Mishra; Palak Aggarwal; Ankit Vidyarthi; Pawan Singh; Baseem Khan; Hassan Haes Alhelou; Pierluigi Siano (IEEE Trans. Ind. Informatics, 2021)

Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning. - Rahul Sharma 011; Minakshi Kaushik; Sijo Arakkal Peious; Markus Bertl; Ankit Vidyarthi; Ashwani Kumar 004; Dirk Draheim (ADBIS (Short Papers), 2022)

Discretizing Numerical Attributes: An Analysis of Human Perceptions. - Minakshi Kaushik; Rahul Sharma 011; Ankit Vidyarthi; Dirk Draheim (ADBIS (Short Papers), 2022)

Why Not to Trust Big Data: Discussing Statistical Paradoxes. - Rahul Sharma 011; Minakshi Kaushik; Sijo Arakkal Peious; Mahtab Shahin; Ankit Vidyarthi; Prayag Tiwari; Dirk Draheim (DASFAA (Workshops), 2022)

Machine Learning Assisted Methodology for Multiclass Classification of Malignant Brain Tumors. - Ankit Vidyarthi; Ruchi Agarwal; Deepak Gupta 002; Rahul Sharma 011; Dirk Draheim; Prayag Tiwari (IEEE Access, 2022)

UAV surveillance for violence detection and individual identification. - Anugrah Srivastava; Tapas Badal; Pawan Saxena; Ankit Vidyarthi; Rishav Singh (Autom. Softw. Eng., 2022)

A deep learning assisted image-guided framework for differentiation among tumors and hemorrhages in head imaging. - Payal Malik; Ankit Vidyarthi (Comput. Electr. Eng., 2022)

A secure energy-efficient routing protocol for disease data transmission using IoMT. - Samayveer Singh; Aridaman Singh Nandan; Geeta Sikka; Aruna Malik; Ankit Vidyarthi (Comput. Electr. Eng., 2022)

Intelligent Semantic Segmentation for Self-Driving Vehicles Using Deep Learning. - Qusay Sellat; Sukant Kishoro Bisoy; Rojalina Priyadarshini; Ankit Vidyarthi; Sandeep Kautish; Rabindra K. Barik (Comput. Intell. Neurosci., 2022)

PTXNet: An extended UNet model based segmentation of pneumothorax from chest radiography images. - Aarya Patel; Ankit Vidyarthi (Expert Syst. J. Knowl. Eng., 2022)

Perturbation-Based Fuzzified K-Mode Clustering Method for Privacy Preserving Recommender System. - Abhaya Kumar Sahoo; Srishti Raj; Chittaranjan Pradhan; Bhabani Shankar Prasad Mishra; Rabindra Kumar Barik; Ankit Vidyarthi (Int. J. Inf. Secur. Priv., 2022)

Soil Fertility Monitoring With Internet of Underground Things: A Survey. - Debjani Ghosh; Akash Anand; Satya Sankalp Gautam; Ankit Vidyarthi (IEEE Micro, 2022)

A hybridized modified densenet deep architecture with CLAHE algorithm for humpback whale identification and recognition. - Ankit Vidyarthi; Aruna Malik (Multim. Tools Appl., 2022)

SDMTA: Attack Detection and Mitigation Mechanism for DDoS Vulnerabilities in Hybrid Cloud Environment. - Sandeep Kautish; A. Reyana; Ankit Vidyarthi (IEEE Trans. Ind. Informatics, 2022)

Guest Editorial: Security and Privacy for Cloud-Assisted Internet of Things (IoT) and Smart Grid. - Preeti Mishra; Ankit Vidyarthi; Pierluigi Siano (IEEE Trans. Ind. Informatics, 2022)

Leveraging Towards Serverless Edge Computing Model for Intelligent IoMT Applications. - Hemant Kumar Apat; Ahmed Alkhayyat 001; Ankit Vidyarthi; Rabindra K. Barik (IC3, 2023)

Chapter Eleven - Modified ML-KNN: Role of similarity measures and nearest neighbor configuration in multi-label text classification on big social network graph data. - Saurabh Kumar Srivastava; Ankit Vidyarthi; Sandeep Kumar Singh 001 (Adv. Comput., 2023)

Chapter Fourteen - Power rank: An interactive web page ranking algorithm. - Ankit Vidyarthi; Pawan Singh (Adv. Comput., 2023)

A Dense-Layered Deep Neural Model-Based Classification of Brain Hemorrhages Using Head Computer Tomography Images. - Ankit Vidyarthi (Cogn. Comput., 2023)

An Advanced Energy Management and Harvesting System for Network Lifetime for Industrial IoT in Smart Cities. - Srikanth Jannu; Suresh Dara 001; Chaitanya Thuppari; Ankit Vidyarthi; Deepak Gupta 002 (IEEE Internet Things J., 2023)

ST-AL: a hybridized search based metaheuristic computational algorithm towards optimization of high dimensional industrial datasets. - Reham R. Mostafa; Noha E. El-Attar; Sahar F. Sabbeh; Ankit Vidyarthi; Fatma A. Hashim (Soft Comput., 2023)

CROPCARE: An Intelligent Real-Time Sustainable IoT System for Crop Disease Detection Using Mobile Vision. - Garima Garg; Shivam Gupta; Preeti Mishra; Ankit Vidyarthi; Aman Singh; Asmaa Ali (IEEE Internet Things J., 2023)

Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare. - Abdullah Lakhan; Mazin Abed Mohammed; Jan Nedoma; Radek Martinek; Prayag Tiwari; Ankit Vidyarthi; Ahmed Alkhayyat 001; Weiyu Wang (IEEE J. Biomed. Health Informatics, 2023)

Semantic morphological variant selection and translation disambiguation for cross-lingual information retrieval. - Vijay Kumar Sharma; Namita Mittal; Ankit Vidyarthi (Multim. Tools Appl., 2023)

A Smart Cloud and IoVT-Based Kernel Adaptive Filtering Framework for Parking Prediction. - Divya Anand; Aman Singh; Khalid Alsubhi; Nitin Goyal; Atef Abdrabou; Ankit Vidyarthi; Joel J. P. C. Rodrigues (IEEE Trans. Intell. Transp. Syst., 2023)

An efficient and optimized Markov chain-based prediction for server consolidation in cloud environment. - Nisha Chaurasia; Mohit Kumar 004; Ankit Vidyarthi; Kunwar Pal; Ahmed Alkhayyat 001 (Comput. Electr. Eng., 2023)

Utilizing Continuous Time Markov Chain for analyzing video-on-demand streaming in multimedia systems. - Debjani Ghosh; Mayank Pandey; Chakrapani Gautam; Ankit Vidyarthi; Rahul Sharma 011; Dirk Draheim (Expert Syst. Appl., 2023)

A regressive encoder-decoder-based deep attention model for segmentation of fetal head in 2D-ultrasound images. - Somya Srivastava; Ankit Vidyarthi; Shikha Jain (Image Vis. Comput., 2023)

Identification of vulnerable selfish peer in P2P network using nature-inspired optimization techniques. - Sarfaraj Alam Ansari; Kunwar Pal; Prajjval Govil; Mahesh Chandra Govil; Nisha Chaurasia; Ankit Vidyarthi; Meshal Alharbi (Phys. Commun., 2023)

Exploration of Deep Neural Networks and Effect of Optimizer for Pulmonary Disease Diagnosis. - Rakshit Agrawal; Hrishita Sarkar; Abhisek Omkar Prasad; Abhaya Kumar Sahoo; Ankit Vidyarthi; Rabindra Kumar Barik (SN Comput. Sci., 2023)

Deep learning-based intelligent system for fingerprint identification using decision-based median filter. - Deepak Kumar Jain 001; S. Neelakandan; Ankit Vidyarthi; Deepak Gupta 002 (Pattern Recognit. Lett., 2023)

A Dual Cascaded Deep Theoretic Learning Approach for the Segmentation of the Brain Tumors in MRI Scans. - Jinka Sreedhar; Suresh Dara 001; C. H. Srinivasulu; Butchi Raju Katari; Ahmed Alkhayyat 001; Ankit Vidyarthi; Mashael M. Alsulami (Int. J. Imaging Syst. Technol., 2024)

Recognition of Real-Time Video Activities Using Stacked Bi-GRU with Fusion-based Deep Architecture. - Ujwala Thakur; Ankit Vidyarthi; Amarjeet Prajapati (J. Univers. Comput. Sci., 2024)

Stacked deep model-based classification of the multiclass brain hemorrhages in CT scans. - Payal Malik; Ankit Vidyarthi (Int. J. Imaging Syst. Technol., 2024)

Exploring Web-Based Translation Resources Applied to Hindi-English Cross-Lingual Information Retrieval. - Vijay Kumar Sharma; Namita Mittal; Ankit Vidyarthi; Deepak Gupta 002 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Marvelous Hand: An IoT-Enabled Artificial Intelligence-Based Human-Centric Biosensor Design for Consumer Personal Security Application. - Ashutosh Agrahari; Ruchi Agarwal; Pawan Singh; Abhishek Singh Kilak; Deepak Gupta 002; Ankit Vidyarthi (IEEE Trans. Consumer Electron., 2024)

Enhancing P2Cast VoD Streaming Performance: A Node Behaviour-Driven Parent Selection Approach Considering VCR Actions. - Debjani Ghosh; Chakrapani Gautam; Ankit Vidyarthi; Deepak Gupta 002; Punit Gupta (IEEE Trans. Consumer Electron., 2024)

Recommendation of Electronic Mobile Gadgets Using Infused Decision Score With Mobile Radiation and Federated Sentiment Score. - Ambedkar Kanapala; Suresh Dara 001; Jinka Sreedhar; Ankit Vidyarthi; Deepak Gupta 002; Punit Gupta (IEEE Trans. Consumer Electron., 2024)

Zero-Day Guardian: A Dual Model Enabled Federated Learning Framework for Handling Zero-Day Attacks in 5G Enabled IIoT. - Priyanka Verma 001; Nitesh Bharot; John G. Breslin; Donna O'Shea; Ankit Vidyarthi; Deepak Gupta 002 (IEEE Trans. Consumer Electron., 2024)

Leveraging Gametic Heredity in Oversampling Techniques to Handle Class Imbalance for Efficient Cyberthreat Detection in IIoT. - Priyanka Verma 001; John G. Breslin; Donna O'Shea; Nakul Mehta; Nitesh Bharot; Ankit Vidyarthi (IEEE Trans. Consumer Electron., 2024)

Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things. - Amir Javadpour 001; Arun Kumar Sangaiah; Weizhe Zhang; Ankit Vidyarthi; Hamidreza Ahmadi 001 (J. Grid Comput., 2024)

A New Approach to Detect Power Quality Disturbances in Smart Cities Using Scaling-Based Chirplet Transform with Strategically Placed Smart Meters. - Pampa Sinha; Kaushik Paul; Sanchari Deb; Ankit Vidyarthi; Abhishek Singh Kilak; Deepak Gupta 002 (J. Circuits Syst. Comput., 2024)

A Bilateral Assessment of Human Activities Using PSO-Based Feature Optimization and Non-linear Multi-task Least Squares Twin Support Vector Machine. - Ujwala Thakur; Ankit Vidyarthi; Amarjeet Prajapati (SN Comput. Sci., 2024)

Analytical study of the encoder-decoder models for ultrasound image segmentation. - Somya Srivastava; Ankit Vidyarthi; Shikha Jain (Serv. Oriented Comput. Appl., 2024)

Energy Efficient Quantum-Informed Ant Colony Optimization Algorithms for Industrial Internet of Things. - Srikanth Jannu; Suresh Dara 001; Chaitanya Thuppari; Ankit Vidyarthi; Debjani Ghosh; Prayag Tiwari; Ghulam Muhammad (IEEE Trans. Artif. Intell., 2024)

Uncovering collateral damages and advanced defense strategies in cloud environments against DDoS attacks: A comprehensive review. - Priyanka Verma 001; Nitesh Bharot; John G. Breslin; Mukta Sharma; Nisha Chaurasia; Ankit Vidyarthi (Trans. Emerg. Telecommun. Technol., 2024)

Cognitive Hybrid Deep Learning-based Multi-modal Sentiment Analysis for Online Product Reviews. - Ashwin Perti; Amit Sinha; Ankit Vidyarthi (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

DFootNet: A Domain Adaptive Classification Framework for Diabetic Foot Ulcers Using Dense Neural Network Architecture. - Nishu Bansal; Ankit Vidyarthi (Cogn. Comput., 2024)

A Stacked Ensemble Approach to Generalize the Classifier Prediction for the Detection of DDoS Attack in Cloud Network. - Priyanka Verma 001; A. Rama Krishna Kowsik; Rajesh Kumar Pateriya; Nitesh Bharot; Ankit Vidyarthi; Deepak Gupta 002 (Mob. Networks Appl., 2024)

Biometrics recognition of newborn: a review. - Shrikant Tiwari; Rishav Singh; Sanjay Kumar Singh; Abhishek Singh Kilak; Ahmed Alkhayyat 001; Ankit Vidyarthi (Multim. Tools Appl., 2024)

A bilateral assessment of human activity recognition using grid search based nonlinear multi-task least squares twin support vector machine. - Ujwala Thakur; Amarjeet Prajapati; Ankit Vidyarthi (Multim. Tools Appl., 2024)

Elevating Personalized VOD Systems: Formal Analysis With VCR Actions and Trusted Computing. - Debjani Ghosh; Ankit Vidyarthi; Chakrapani Gautam; Ruchi Agarwal; Krishna Kant Agarwal; Punit Gupta; Ahmed Alkhayyat 001; Mashael M. Alsulami (IEEE Trans. Consumer Electron., 2024)

Benevolence Behavior-Based Message Forwarding Scheme for Consumer-Centric IoT Opportunistic Networks. - Prashant Kumar; Naveen Chauhan; Nisha Chaurasia; Krishna Kant Agarwal; Ankit Vidyarthi; Deepak Gupta 002 (IEEE Trans. Consumer Electron., 2024)

A knowledge-Aware NLP-Driven conversational model to detect deceptive contents on social media posts. - Deepak Kumar Jain 001; S. Neelakandan; Ankit Vidyarthi; Anand Mishra 004; Ahmed Alkhayyat 001 (Comput. Speech Lang., 2025)

Leveraging Transfer Learning Domain Adaptation Model With Federated Learning to Revolutionise Healthcare. - Priyanka Verma 001; Nitesh Bharot; John G. Breslin; Donna O'Shea; Anand Kumar Mishra; Ankit Vidyarthi; Deepak Gupta 002 (Expert Syst. J. Knowl. Eng., 2025)

Hierarchical Meta-Heuristic Encoder-Decoder Architecture With Next-Generation Imaging for Consumer-Centric Segmentation of Diabetic Foot Ulcers. - Nishu Bansal; Ankit Vidyarthi (IEEE Trans. Consumer Electron., 2025)

A Novel k-Coverage and m-Connectivity-Based Fire Prediction Model for Consumer IoT Using Fish Swarm Optimization and Logistic Regression Model. - Chaitanya Thuppari; Srikanth Jannu; Damodar Reddy Edla; Anand Kumar Mishra; Debjani Gautam; Ankit Vidyarthi; Daniel Gavilanes Aray (IEEE Trans. Consumer Electron., 2025)

Energy-Aware Compression and Consumption Algorithms for Efficient TinyML Model Using Aquila Optimization in Industrial IoT. - Chaitanya Thuppari; Srikanth Jannu; Damodar Reddy Edla; Ankit Vidyarthi; Krishna Kant Agarwal; Ahmed Alkhayyat 001 (IEEE Trans. Consumer Electron., 2025)

Optimizing Near-Field Communication for Industrial IoT: A Biologically-Inspired Approach to Security and Efficiency. - Updesh Kumar Jaiswal; Srikanth Jannu; Krishna Kant Agarwal; C. Naveena; Prakash Kumar; Jabir Ali; Ankit Vidyarthi (IEEE Trans. Consumer Electron., 2025)