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Mr Kottu Santosh Kumar

vidwan id: 251239
Male

Assistant Professor, Information Technology
Vardaman College of Engineering, Rangareddy

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 8
Books 0
Proceedings 0

Publications

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Bio

Personal Details

  • Male
  • Assistant Professor , Vardaman College of Engineering, Rangareddy
  • Kacharam Village, Shamshabad
M.Tech
Other Institute 2019
B.Tech
Other Institute 2013
Assistant Professor Jun 2021 – Present
Vardaman College of Engineering, Rangareddy | Information Technology
Assistant Professor Sep 2019 – Jun 2021
Sri Venkateswara College of Engineering And Technology, Nh-5, Etcherla, PIN-532402 (CC-MT)

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Co-Authors (3)

Anudeep

Mr Anudeep Meda

Vardaman College of Engineering, Rangareddy

Ganesh B.

Dr Ganesh B. Regulwar

Vardaman College of Engineering, Rangareddy

Saroja Kumar

Dr Saroja Kumar Rout

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Scholarly Work

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Novel Deep Learning Based Intelligent Robust Early Sepsis Prediction Model

Kottu Santosh Kumar
Engineering and Technology Patent No. : 544517 Filed : 21-07-2022
Published : 09-07-2024 Granted

Scholarly Publications

Super Cyclone Detection and Tracking Using YOLOv8 Algorithm

Open Access
INPROCEEDINGS
Authors: Anusha, Chitti and Sanjay, Kothuru Sai and Deekshitha, Shenkeshi and Rout, Saroja Kumar and Kumar, Kottu Santosh and Ranjith Reddy, S

Content analysis and visualization of privacy policy using privacy management

Open Access
article
Authors: Ganesh B. Regulwar, Ramachandro Majji,Santosh Kumar Kottu,Anvesh Kachi, Ranjith Reddy Sureddy

Tropical Cyclone Detection and Tracking Using YOLOv8 Algorithm

Open Access
conference-paper

Multi-Objective Optimization Approach in Channel Equalization Problems

Open Access
INPROCEEDINGS
Authors: Mohapatra, Pradyumna Kumar and Rout, Saroja Kumar and Kumar, Kottu Santosh and Meda, Anudeep and Panda, Ravi Narayan

Kottu Santosh

Open Access
Authors: AU - Kumar

Saroja Kumar

Open Access
Authors: AU - Rout

Sachi Nandan

Open Access
Authors: AU - Mohanty

we assess the outcome using the Castalia simulation. The precision of wireless sensor network node location is greatly improved by integrating mobile anchor nodes with RSSI-based dynamic node localization. The results of the simulations and the subsequent analysis attest to the excellent accuracy and low energy consumption of the suggested method during the localization procedure.

Open Access
Authors: this work