D. Vincent

发表

Forecasting yield by integrating agrarian factors and machine learning models: A survey

Albert Y. Zomaya, Kathiravan Srinivasan, Durai Raj Vincent, 2018, Comput. Electron. Agric..

AN EFFECTIVE APPROACH OF RSA&IMPACT OF WEINERS ATTACK: SURVEY

Coden Ijptfi, D. Vincent, Ajay Mummadisetti, 2016 .

Sparse Representation based Fingerprint Compression

D. Vincent, 2015 .

Trust in E-commerce

D. Vincent, K. Ashwini, 2017 .

Ensemble of Artificial Intelligence Techniques for Bacterial Antimicrobial Resistance (AMR) Estimation Using Topic Modeling and Similarity Measure

Seifedine Kadry, D. Vincent, Priya Chakriswaran, 2022, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

An Efficient Implementation of Artificial Neural Networks with K-fold Cross-validation for Process Optimization

Durai Raj Vincent, Aswani Kumar Cherukuri, Kathiravan Srinivasan, 2019 .

Emotion AI-Driven Sentiment Analysis: A Survey, Future Research Directions, and Open Issues

Chuan-Yu Chang, Kathiravan Srinivasan, Durai Raj Vincent, 2019, Applied Sciences.

Effective Mining Approach to Produce Quality Search Results Using Proposed Approach

Durai Raj Vincent, Dhivya Elavarasan, D. Elavarasan, 2017 .

Realizing an Integrated Multistage Support Vector Machine Model for Augmented Recognition of Unipolar Depression

Durai Raj Vincent, Nivedhitha Mahendran, Kathiravan Srinivasan, 2020, Electronics.

Reinforced XGBoost machine learning model for sustainable intelligent agrarian applications

Durai Raj Vincent, Dhivya Elavarasan, D. Elavarasan, 2020, J. Intell. Fuzzy Syst..

Deep Belief Network-based Approach for Detecting Alzheimer's disease using the Multi-omics Data

D. Vincent, M. Nivedhitha, 2023, Computational and Structural Biotechnology Journal.

Exploring Huntington’s Disease Diagnosis via Artificial Intelligence Models: A Comprehensive Review

Jayakumar Kaliappan, Kathiravan Srinivasan, D. Vincent, 2023, Diagnostics.