Mr Atrakesh Pandey
Assistant Professor (Grade-III)
| Department of Computer Science and Engineering
Amity University Rajasthan, Jaipur
Rajasthan
Expertise:
Computer Science Software Engineering
5
Publications
0
Projects
0
Scopus Citations
2
CrossRef
14 Years 2 Months Total Experience
Scopus
0
Citations
0
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CrossRef
2
Citations
1
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Personal Details
Master of Technology
2015
N/A
Bachelor of Technology
2005
B B M BEd COLLEGE, SARDAHA, CHAS
Assistant Professor (Grade-III)
Apr 2023 – Present
Amity University Rajasthan, Jaipur
| Department of Computer Science and Engineering
Assistant Professor
Jun 2018 – Apr 2023
Poornima Institute of Engineering & Technology,Jaipur
| Department of Computer Science and Engineering
Assistant Professor
Jul 2012 – Jun 2018
SHERWOOD COLLEGE OF ENGINEERING RESEARCH AND TECHNOLOGY, BARABANKI
Engineering and Technology
Scholarly Work
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A Hybrid ApproachUsing RNN and CNN for predicting 1, 4-D Structure of Protien from Amino Acid Sequences
Poornima University
Jaipur
Atrakesh Pandey
Rakesh Kumar Saxena
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Application No. :
202211066470
Filed :
19-11-2022
Published :
25-11-2022
Published
AUTOMATED TIME TABLE GENERATOR USING MC LEARNING
1 . Poornima Institute of Engineering & Technology 2 . Atrakesh Pandey 3 . Pawan Kumar Patidar
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Application No. :
202211007356
Filed :
11-02-2022
Published :
11-08-2023
Published
SKIN DISEASE IDENTIFICATION USING MACHINE LEARNING ALGORITHMS(SVM,KNN AND RNN)
1 . Poornima Institute of Engineering & Technology 2 . Pawan Kumar Patidar 3.Atrakesh Pandey 4 .Manish Bhardwaj 5.Dr. Purushottam L Bhari 6.Sumit Mathur 7.Punit Kumawat 8.Yogesh Sharma 9.Raman Deep Kaur
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Application No. :
202211007353
Filed :
11-02-2022
Published :
11-08-2023
Published
Scholarly Publications
A HYBRID APPROACH USING RNN AND CNN FOR PREDICTING 1-4D STRUCTURE OF PROTEIN FROM AMINO ACID SEQUENCES
On Parameter Selection and Effectiveness of Particle Swarm Optimization for Cloud Task Scheduling
Various algorithms of machine learning and deep learning for predicting 1-4D structure of protein from amino acid sequences
1–4D Protein Structures Prediction Using Machine Learning and Deep Learning from Amino Acid Sequences
10.1007/978-981-19-2065-3_65
Crossref: 2