Ministry of Education
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Prof Avijit Kumar Chaudhuri

vidwan id: 422470
Male

Head of the Department, Department of Computer Science and Engineering
Brainware University

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Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 88
Books 0
Proceedings 0

Publications

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Scopus

Citations 0
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Citations 119
h-index 4
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Professional Recognition

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Community & Membership

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Bio

Artificial Intelligence (AI), Data Mining, Machine Learning, Deep Learning and Hybrid Learning

Personal Details

  • Male
  • Head of the Department , Brainware University
  • Brainware University, 398, Ramkrishnapur Road, Barasat, Near Jagadighata Market, Kolkata, West Bengal 700125
Ph.D.
Seacom Skills University 2022
MBA
Annamalai University 2014
M.Tech
Sam Higginbottom Institute of Agriculture, Technology & Sciences, Allahabad 2007
A.M.I.E.
Other Institute 2002
B.Sc
Other Institute 1993
Head of the Department Aug 2023 – Present
Brainware University | Department of Computer Science and Engineering
Associate Professor Apr 2022 – Jun 2023
Techno India Banipur 244
Assistant Professor Aug 2010 – Jun 2023
Indira Gandhi National Open University
Assistant Professor Jul 2010 – Mar 2022
Techno India Banipur 244
Assistant Professor Jul 2010 – Dec 2016
Vidyasagar University | Department of Business Administration
Assistant Professor Jul 2009 – Jan 2010
Kingston School of Management and Science 173
Academic Coordinator Jul 2005 – Jun 2010
Sikkim Manipal University, Gangtok

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Organisations (823+)

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Ms BAISAKHI DASGUPTA

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Subhajit Brojabasi

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Co-Authors (8)

Amartya

Amartya Ghosh

Brainware University

Debmalya

Mr Debmalya Mukherjee

Brainware University

Harish Kumar

Dr Harish Kumar G

Malla Reddy Engineering College for women

Kali Charan

Dr Kali Charan Rath

Gandhi Institute of Engineering and Technology University

Piyali

Piyali De

Brainware University

Nobhonil

Mr Nobhonil Roy Choudhury

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RANJAN

Mr RANJAN BANERJEE

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Shankar Prasad

Mr Shankar Prasad Mitra

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Scholarly Work

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Scholarly Publications

Early prediction of heart disease using the most significant features of diabetes by machine learning techniques

Open Access
article
Year: 2021. Pages: - .
Authors: Chaudhuri, A. K., Das, A., Sinha, D., & Banerjee, D. K.

A Multi-Stage Approach Combining Feature Selection with Machine Learning Techniques for Higher Prediction Reliability and Accuracy in Heart Disease Diagnosis

Open Access
article
Year: 2021. Pages: - .
Authors: Avijit Kumar Chaudhuri , Dilip K. Banerjee , Dr. Anirban Das , Arkadip Ray, 2021,

A novel enhanced decision tree model for detecting chronic kidney disease

Open Access
article
Year: 2021.
Authors: Chaudhuri, A. K., Sinha, D., Banerjee, D. K., & Das, A

Application of data mining techniques for avoiding underestimation of an event

Open Access
article
Year: 2021.
Authors: Chaudhuri, A. K., Das, A., Sinha, D., & Banerjee, D. K.

Early prediction of heart disease using the most significant features of diabetes by machine learning techniques

Open Access
article
Year: 2021.
Authors: Chaudhuri, A. K., Das, A., Sinha, D., & Banerjee, D. K.

A Dataset Centric Feature Selection and Stacked Model to Detect Breast Cancer

Open Access
article
Year: 2021.
Authors: Chaudhuri, A. K., Banerjee, D. K., & Das, A.

A multi-stage approach combining feature selection with machine-learning- techniques for higher prediction reliability and accuracy of Heart Disease

Open Access
article
Year: 2021.
Authors: Chaudhuri, A. K., Ray, A., Banerjee, D. K., & Das, A.

An Enhanced Random Forest Model for Detecting Effects on Organs after Recovering from Dengue.

Open Access
article
Year: 2021.
Authors: Chaudhuri, A. K., Ray, A., Banerjee, D. K., & Das, A.