Academic Identity
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Orcid Id 0000-0001-5179-6756 -
Scopus Id 57196104946 -
Researcher Id A-1737-2013 -
Google Scholar Id enZRExMAAAAJ
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Dr P Geetha
- Associate Professor
- Anna University
Publications 2008 - 2024
Publications
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17
Journal Articles
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3
Book Chapter
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7
Conference
Proceedings
Citations / H-Index
101
Citations
3
h-index
83
Citations
Altmetrics
2
4
2
5
2
Google Scholar
Personal Information
Dr P Geetha
Female
Anna University Department of Information Science and Technology, Anna University
Chennai, Tamil Nadu, India - 600025
Experience
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Associate Professor
Department of Information Science and Technology
Anna University
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Assistant Professor
Department of Information Science and Technology
Anna University
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Visiting Faculty
Department of Information Science And Technology
Anna University
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Assistant Professor
Department of Computer Applications
St Joseph Engineering College
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Lecturer
Department of Computer Science and Engineering
St Joseph Engineering College
Qualification
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Ph.D
Sathyabama University
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M.E
Sathyabama University
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B.E
Bharath Institute of Science and Technology
Doctoral Theses Guided
2024
DEEP LEARNING BASED CLASSIFICATION TECHNIQUES FOR FORECASTING CIVIL UNREST EVENTS FROM TWITTER INFORMATION
JOSYLIN IYDA J, Anna University
2024
DEEP LEARNING CLASSIFICATION TECHNIQUES FOR HUMAN ACTION RECOGNITION FROM MULTIPLE FOREGROUND OBJECT
AUGUSTA KANI G, Anna University
2023
AN IMPROVED FEATURE EXTRACTION TECHNIQUES FOR GENDER CLASSIFICATION AND AGE ESTIMATION
Annie Micheal A, Anna University
2024
DEEP LEARNING BASED CLASSIFICATION TECHNIQUES FOR FORECASTING CIVIL UNREST EVENTS FROM TWITTER INFORMATION
JOSYLIN IYDA J, Anna University
2024
DEEP LEARNING CLASSIFICATION TECHNIQUES FOR HUMAN ACTION RECOGNITION FROM MULTIPLE FOREGROUND OBJECT
AUGUSTA KANI G, Anna University
2023
AN IMPROVED FEATURE EXTRACTION TECHNIQUES FOR GENDER CLASSIFICATION AND AGE ESTIMATION
Annie Micheal A, Anna University
2023
Detection of Autism Risk Gene Subsets From Multi-Omic Microarray data using Metaheuristic Algorithms
Anurekha G, Anna University
2022
SEQUENCE MATCHING AND DEEP LEARNING TECHNIQUES FOR EARLY-STAGE DETECTION OF PARKINSONā€™S DISEASE THROUGH MULTI-MODALITIES
Anusha B, AnnaUniversity
