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プロフィール詳細
プロジェクトを作成
★★★★★
☆☆☆☆☆
Dr. Vishal D.に依頼
India

Freelance Data Analyst|Expert in Rapid Miner,Tableau & WEKA, Programmer, Graphic Designer, Technical & Academic Writer.

プロフィール概要
専門分野
サービス
Writing Technical Writing, Copywriting, Creative Writing
Research Gray Literature Search, Systematic Literature Review, Secondary Data Collection
Data & AI Statistical Analysis, Data Visualization
職務経験

Technical Trainer

Chandigarh University

2月 2023 - 現在

Asst. Professor

Aryabhatta College of Technical Education

7月 2018 - 1月 2023

Visiting Faculty

Maharshi Dayanand Saraswati University

2月 2016 - 1月 2023

Faculty

Dzyne E'cole College

1月 2016 - 7月 2018

学歴

P.hd

University of Madras

1月 2016 - 9月 2019

Masters of Computer Application (Computer Science)

Maharshi Dayanand Saraswati University

7月 2012 - 10月 2015

認定資格
  • 認定資格の詳細は未入力です。
出版物
JOURNAL ARTICLE
Vishal Dutt, Abhishek Kumar , Swarn Avinash Kumar, S. Shitharth, Esha Tripathi(2023). IoTbased arrhythmia classification using the enhanced hunt optimization‐based deep learning . Expert Systems. Wiley
Vishal Dutt, Abhishek Kumar, Swarn Avinash Kumar, Ashutosh Kumar Dubey, Sushil Narang(2023). A Hybrid Secure Cloud Platform Maintenance Based on Improved Attribute-Based Encryption Strategies . International Journal of Interactive Multimedia and Artificial Intelligence. 8. (2). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 150. Universidad Internacional de La Rioja
Vishal Dutt, Abhishek Kumar, Vicente García-Díaz, Sushil Kumar Narang(2021). Twitter sentimental analysis from time series facts: the implementation of enhanced support vector machine . Bulletin of Electrical Engineering and Informatics. 10. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2845--2856. Institute of Advanced Engineering and Science
Early Diagnosis and Prediction of Recurrent Cancer Occurrence in a Patient Using Machine Learning @article{doi:, author= {Swarn Avinash Kumar,Harsh Kumar,Srinivasa Rao Swarna,Vishal Dutt}, title= {Early Diagnosis and Prediction of Recurrent Cancer Occurrence in a Patient Using Machine Learning}, journal= {European Journal of Molecular & Clinical Medicine}, volume= {7}, number= {7}, pages= {6785-6794}, year= {2021}, publisher= {}, issn= {2515-8260}, eissn= {2515-8260}, doi= {}, abstract= {Machine learning is the way to implement many kinds of research applications which will create a challenge to implement the novel tasks. Cancer is the most important research component in the medical field which requires machine learning to look over the solution. There are a lot more chances of the occurrence of cancer to a specific person even after the recurrent sessions of the treatment and there is no way to recognize with the clinal knowledge. We need a hand of an expert system to analyze the patients' present condition and need to recognize the better path for the patient for his or her treatment or the life span. Machine learning implementation in the medical domain mostly work on the classification mechanisms in the initial stage of the implementation and we need to work out on implement the ensemble models like the random forest, AdaBoost mechanisms which will give the challenging training methods for the model and the models which are being trained using the ensemble methods will give the accurate results related to any kind of the disease treatments if the concept of implementation of the machine learning is in the initial stage of the implementation. The machine learning models like Random Forest, AdaBoost, SVM, Decision trees gave some respectable results concerning the identification of the patient’s condition who got treatment for cancer and in the post-treatment stage. Among all the models, the random forest gave the highest accuracy of predicting the cancer post-treatment with 93% and SVM got some least among the list with 82% of accuracy in early identification.}, keywords= {}, URL= {https://ejmcm.com/article_6470.html }, eprint= {https://ejmcm.com/article__f9fa0d214ad8e7320a18fc5f7688994e6470.pdf }} . European Journal of Molecular & Clinical Medicine.
Abhishek Kumar and Swarn Avinash Kumar and Vishal Dutt and Ashutosh Kumar Dubey and Sushil Narang(2021). A Hybrid Secure Cloud Platform Maintenance Based on Improved Attribute-Based Encryption Strategies . International Journal of Interactive Multimedia and Artificial Intelligence. In Press. (In Press). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1. Universidad Internacional de La Rioja
Kumar, A., Dutt, V., García-Díaz, V., Narang, S.K.(2021). Twitter sentimental analysis from time series facts: The implementation of enhanced support vector machine . Bulletin of Electrical Engineering and Informatics. 10. (5). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 2845-2856.
Dutt, V., Chandrasekaran, S., García-Díaz, V.(2020). Quantum neural networks for disease treatment identification . European Journal of Molecular and Clinical Medicine. 7. (11). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 57-67.
(2019). An IOT approach for reducing classification error in face recognition with the commuted concept of conventional Algorithm . International Journal of Innovative Technology and Exploring Engineering (IJITEE).
(2019). ENLIGHTENMENT CAPACITY FOR POWERFUL FACE RECOGNITION MECHANISM USING DCT ALGORITHM . ENLIGHTENMENT CAPACITY FOR POWERFUL FACE RECOGNITION MECHANISM USING DCT ALGORITHM.
Kumar, A., Rathore, P.S., Dutt, V.(2019). An IOT method for reducing classification error in face recognition with the commuted concept of conventional algorithm . International Journal of Innovative Technology and Exploring Engineering. 8. (11). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1-7.
(2019). Contribution Of Machine Learning Techniques To Detect Disease In-Patients: A Comprehensive Analysis of Classification Techniques . Global Journal on Innovation, Opportunities and Challenges in AAI and Machine Learning.
(2019). “MACHINE LEARNING IMPLEMENTATION FOR SMART HEALTH RECORDS . Global Journal on Innovation, Opportunities and Challenges in AAI and Machine Learning.
(2018). USAGE OF THE BIG DATA IDEA IN ASSOCIATIONS POTENTIAL OUTCOMES, OBSTRUCTIONS AND DIFFICULTIES . International Journal of Machine Learning and Networked Collaborative Engineering.
(2017). Emerging Trends on Big Data & Cloud Computing . International Journal of Machine Learning and Networked Collaborative Engineering.
CONFERENCE PAPER
Vishal Dutt, Sriramakrishnan Chandrasekaran, Rashmi Agrawal, Narayan Vyas(2023). Improved Healthcare System with Quantum Computing . 2023 International Conference on Artificial Intelligence and Smart Communication (AISC). {IEEE}
Vishal Dutt, Sriramakrishnan Chandrasekaran, Narayan Vyas, Raj Kumar(2023). Student Sentiment Analysis Using Various Machine Learning Techniques . 2023 International Conference on Artificial Intelligence and Smart Communication (AISC). {IEEE}
Vishal Dutt, Swarn Avinash Kumar, Abhishek Kumar, Rashmi Agrawal(2021). Multi Model Implementation on General Medicine Prediction with Quantum Neural Networks . 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV). {IEEE}
Kumar, S.A., Kumar, H., Dutt, V., Soni, H.(2021). Self-health analysis with two step histogram based procedure using machine learning . Proceedings of the 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 794-799.
Kumar, S.A., Kumar, A., Dutt, V., Agrawal, R.(2021). Multi model implementation on general medicine prediction with quantum neural networks . Proceedings of the 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1391-1395.
Swarna, S.R., Boyapati, S., Dutt, V., Bajaj, K.(2020). Deep learning in dynamic modeling of medical imaging: A review study . Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 745-749.
Boyapati, S., Swarna, S.R., Dutt, V., Vyas, N.(2020). Big data approach for medical data classification: A review study . Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 762-766.
Dutt, V., Sasubilli, S.M., Yerrapati, A.E.(2020). Dynamic Information Retrieval with Chatbots: A Review of Artificial Intelligence Methodology . Proceedings of the 4th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2020. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 1299-1303.
Sasubilli, S.M., Kumar, A., Dutt, V.(2020). Improving Health Care by Help of Internet of Things and Bigdata Analytics and Cloud Computing . Proceedings of the 2020 International Conference on Advances in Computing and Communication Engineering, ICACCE 2020.
Sasubilli, S.M., Kumar, A., Dutt, V.(2020). Machine Learning Implementation on Medical Domain to Identify Disease Insights using TMS . Proceedings of the 2020 International Conference on Advances in Computing and Communication Engineering, ICACCE 2020.
BOOK
Dr. Vishal Dutt (2021). Machine and Deep Learning Approaches for Healthcare Systems . Eureka Publications.
Dr. Vishal Dutt (2021). Machine Learning Approaches for Bioinformatics . Eureka Publications.
BOOK CHAPTER
Vishal Dutt, Shweta Sharma(2022). Artificial intelligence and technology in weather forecasting and renewable energy systems . Artificial Intelligence for Renewable Energy Systems. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 189--207. Elsevier
Dixit, P., Payal, M., Dutt, V., Tuteja, A.(2021). A Review of Machine Learning Approaches in Clinical Healthcare . EAI/Springer Innovations in Communication and Computing. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 243-258.
Pooja Dixit and Manju Payal and Vishal Dutt and Ankita Tuteja(2021). A Review of Machine Learning Approaches in Clinical Healthcare . Intelligent Healthcare. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 243--258. Springer International Publishing