Dr Santosh Thakur

vidwan id: 466031

Male

Assistant Professor, Department of Life Sciences
Mahindra University, Hyderabad

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Expertise

Biology

Publications

Total Articles 8

Books 0

Proceedings 0

Publications

Scopus

Citations 107

h-index 4

CrossRef

Citations 93

h-index 3

Google Scholar

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Community & Membership

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Bio

Data Science, Machine learning and Blockchain

Personal Details

Male
Assistant Professor , Mahindra University, Hyderabad
Department of Life Sciences,Mahindra University, Survey No.62/1A, Bahadurpally, Jeedimetla, Hyderabad-500049

PhD

Other Institute 2021

Assistant Professor Aug 2022 – Present

Mahindra University, Hyderabad | Department of Life Sciences

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Dr Sanjay Kumar

Assistant Professor (Grade-I)

Dr Payal Mahobiya

Associate Professor

Dr Ramadevi manikandan

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Mr Santosh Shinde

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Lecturer

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Organisations (192+)

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Ms Ayushi Tandon

Assistant Professor

Dr Chelluboyina Aruna Kumar

Assistant Professor

Mr Arun Avinash Chauhan

Assistant Professor

Prof Arun Kumar Pujari

Emeritus Professor

Prof Arya Kumar Bhattacharya

Dean

Dr Bhanukiran Perabathini

Assistant Professor

Associate Professor

Professor

Assistant Professor

Professor

Co-Authors (3)

Dr Abhishek Kumar

National Institute of Design, Gandhinagar

Dr Damodar Reddy Edla

National Institute of Technology, Goa

Prof Dharavath Ramesh

Indian Institute of Technology (Indian School of Mines), Dhanbad

Scholarly Work

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Scholarly Publications

Deep Psychological Learning of Japanese Anime Graphics in India Using Cognitive Computation

Open Access

Article

Year: 2021. Volume: 39 , Pages: 621-628 .

Authors: Singh P.;Dhanunjay G.S.;Santosh T.;Bhavana S.;Vengatesan K.;Kumar A.

10.3233/APC210253

DENCLUE-DE: Differential Evolution Based DENCLUE for Scalable Clustering in Big Data Analysis

Open Access

Book Chapter

Year: 2020. Volume: 44 , Pages: 436-445 .

Authors: Santosh T.;Ramesh D.

10.1007/978-3-030-37051-0_50

Machine learning approach on apache spark for credit card fraud detection

Open Access

Article

Ingénierie des systèmes d information. Year: 2020. Volume: 25 , Issue: 1 , Pages: 101-106 .

Authors: Santosh T.;Ramesh D.

10.18280/isi.250113

Spark and Rule-KNN based scalable machine learning framework for EEG deceit identification

Open Access

Article

Biomedical Signal Processing and Control. Year: 2020. Volume: 58 .

Authors: Thakur S.;Dharavath R.;Edla D.R.

10.1016/j.bspc.2020.101886

LSTM based prediction of malaria abundances using big data

Open Access

Article

Computers in Biology and Medicine. Year: 2020. Volume: 124 .

Authors: Santosh T.;Ramesh D.;Reddy D.

10.1016/j.compbiomed.2020.103859

Artificial neural network based prediction of malaria abundances using big data: A knowledge capturing approach

Open Access

Article

Clinical Epidemiology and Global Health. Year: 2019. Volume: 7 , Issue: 1 , Pages: 121-126 .

Authors: Thakur S.;Dharavath R.

10.1016/j.cegh.2018.03.001

Spark based ANFIS approach for anomaly detection using big data

Open Access

Conference Paper

Year: 2018. Volume: 828 , Pages: 450-458 .

Authors: Santosh T.;Ramesh D.

10.1007/978-981-10-8660-1_34

KMDT: A hybrid cluster approach for anomaly detection using big data

Open Access

Conference Paper

Year: 2018. Volume: 701 , Pages: 169-176 .

Authors: Thakur S.;Dharavath R.

10.1007/978-981-10-7563-6_18