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Criterion-1
1.1 BOS Minutes
1.5 Internship List
1.2.2 CBCS Course system
M.Tech
MCA
1.4 Syllabus
Ph.D
M.Tech
MCA
1.6 Feedback Analysis
Criterion-2
2.3.2 Teachers using ICT
2.4.2 Teachers With Ph.D
2.4.1 Contractual Teachers
2.4.3 Teaching Experience of Teachers
2.5.1 Result Details
2.6.1 Programme Outcomes
2.3.3 Students Mentor
Criterion-3
3.4.4 Ph.Ds Awarded
3.7.2 Institution/ Industrial Linkage
3.4.5 Journals/Research Papers Published by Teachers
Criterion-4
4.1.3 Class Rooms with ICT Facilities
4.1.4 Budget Allocation
4.2.4 Expenditure on Books/Journals
4.3.4 E-Content Development Facilities
4.4.1 Physical Facility Maintenance Budget
Criterion-5
5.1.6 Grievance Redressal
5.2.1 Placements
5.2.3 NET/SET/GMAT/CAT etc.
Criterion-6
6.3.2 Financial Assisstance to Teachers
6.3.4 Refresher/Orientation/FDps By Teachers
6.4.2 Funds From NGOs etc.
Criterion-7
7.1.9 Differently Abled Intiatives
Ramp
7.1.11 Community Engagements
7.1.13 Core Values
7.1.15Courses on Human Values and Professional Ethics
7.1.7 Promotion of Universal Values
Books Published
Books Published
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Books Published
Applications of Machine Learning and Deep Learning on Biological Data, Volume I, 2022, Faheem Masoodi, Mohammad Quasim, Syed Bukhari, Sarvottam Dixit, Shadab Alam, Published by CRC Press, Taylor & Francis Group, ISBN 9781032214375
Deep Learning Applications, Volume 2, 2020, M. Arif Wani, Taghi TaKhoshgoftaar, Vasile Palade, Published by Springer, ISBN 978-981-15-6758-2
Deep Learning Applications, 2020, M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh,
Published by Springer, ISBN 978-981-15-1815-7
Advances in Deep Learning, 2020, M. Arif Wani, Farooq A. Bhat, Sadaf Afzal, Asif I. Khan,
Published by Springer, ISBN 978-981-13-6794-6
Proceedings of Machine Learning and Applications, 2019, M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang, Huanjing Wang, Naeem (Jim) Seliya,
Published by IEEE, ISBN-13: 978-1-7281-4549-5
Proceedings of Machine Learning and Applications, 2018, M. Arif Wani, Mehmed Kantardzic, Moamar Sayed-Mouchaweh, Joao Gama, Edwin Lughofer
Published by IEEE, ISBN-13: 978-1-5386-6804-7
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