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Chairman's Message

Education is said to be the transmission of knowledge, culture and civilization.
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Principal's Message

It gives me immense pleasure to greet and welcome you all on behalf of the entire ADIT family.
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Dr. Jayandrath Mangrolia
Assistant Professor
Qualification
Ph.D. (Rashtriya Raksha University)
Experience
Academics:13 Years

Industry: 0.5 Year

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Events & Activities
Publications
  • Jayandrath R. Mangrolia, Dr. Ravi K. Sheth, "Detection and Classification of Anomalous Objects: An Analysis and Open Issues?, International Conference on Research and Innovation in Science, Technology and Management (ICRISTM-22). (This paper has received a best paper award)

  • Jayandrath R. Mangrolia, Dr. Ravi K. Sheth, "Histogram of Oriented Gradient based Abnormal Weapon Detection and Classification?, International Conference on Communication and Computational Technologies (ICCCT 2021), RTU- TEQIP-III sponsored, February-21.

  • Jayandrath R. Mangrolia, Dr. Ravi K. Sheth, "Histogram of Oriented Gradient based Abnormal Weapon Detection and Classification?, Springer Book Series- Algorithms for Intelligent Systems, Page 945-955, August-21.

  • Jayandrath R. Mangrolia, Dr. Ravi K. Sheth, "Detection and Classification of Weapons using Gradient Orientation and Laplacian Magnitude-based Histogram?, PIMT journal of Research, Volume 12, No 4(A), July-September 2021, UGC care listed journal.

  • Jayandrath R. Mangrolia, Dr. Ravi K. Sheth, "Classification of Weapons near Public Places using SIFT, HOG and GLH: A Comparative Approach?, Journal of the Asiatic Society of Mumbai, Vol. 96, No.09 (I) September 2022, UGC care listed journal.

  • Jayandrath R. Mangrolia, Dr. N.C.Chauhan "Intelligent video surveillance: Concepts, Review and Open Issues", ICIKR-ETS-2012.

  • Jayandrath R. Mangrolia, Jatin B. Patel, "Automatic facial expression recognition using support vector machine and neural network",Volume-5, Issue-2,IJCTA, March-April 2014.

  • Jayandrath R. Mangrolia, "Automatic Facial Expression Recognition -A Survey", NCAC-09.

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