Prathap Rudra Boppuru

Dr. Prathap Rudra Boppuru

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Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2024 in Data Science and Management
Verified
Journal Article
Open access
KKKukatlapalli Pradeep Kumar
Kukatlapalli Pradeep Kumar
PBPrathap Rudra Boppuru
Prathap Rudra Boppuru
MTMichael Moses Thiruthuvanathan
Michael Moses Thiruthuvanathan
HMHari Murthy
Hari Murthy
VPVinay Jha Pillai
Vinay Jha Pillai
1 March 2021 in Microprocessors and Microsystems
Verified
Journal Article
Closed access
DCDeepika Chauhan
Deepika Chauhan
AKAshok Kumar
Ashok Kumar
PBPradeep Bedi
Pradeep Bedi
VIJAY ANANT ATHAVALEVIJAY ANANT ATHAVALE
VIJAY ANANT ATHAVALE
DVD. Veeraiah
D. Veeraiah
PBPrathap Rudra Boppuru
Prathap Rudra Boppuru
1 January 2022 in Wireless Communications and Mobile Computing
Verified
Journal Article
Open access
PDF file
CMC. Murugamani
C. Murugamani
SSSantosh Kumar Sahoo
Santosh Kumar Sahoo
PKPravin R. Kshirsagar
Pravin R. Kshirsagar
PBPrathap Rudra Boppuru
Prathap Rudra Boppuru
SISaiful Islam
Saiful Islam
DTDawit Mamiru Teressa
Dawit Mamiru Teressa
Machine intelligence is what has been generated by programming computers with certain aspects of human intellect, like training, solving problems, and priority setting. A machine can solve a number of complicated issues using these capabilities. In major industries, such as customer support and manufacturing, machine intelligence is now being employed. The growth and quick development of digital technology and artificial intelligence (AI) technologies are becoming more and more difficult. At now, sophisticated manufacturing, the world of invention, and broad acceptance are undergoing a fast transition. Robotics is much more vital as it may now be related to the human brain by the connection between machine and brain, as AI develops. The world’s economy faces substantial difficulties by increasing productivity in the manufacturing industry. This study examines the present progress of robotic communication styles of artificial intelligence (AI). In many specific applications, communication between members of a robotic group or even people becomes vital. The paper solves the problem of implementation of an independent industry mobile robot in all fields in the major business, live interactive, planning, mobile robot technologies, and intending. In order to identify the best solution to this issue, a mixed integer robotic model has been developed.
6 May 2023 in SN Computer Science
Verified
Journal Article
Closed access
PDF file
MVMeghashyam Vivek
Meghashyam Vivek
PBPrathap Rudra Boppuru
Prathap Rudra Boppuru
1 February 2018
Verified
Conference Paper
Closed access
PBPrathap Rudra Boppuru
Prathap Rudra Boppuru
KRK. Ramesha
K. Ramesha
Online social media like a twitter play a vital role as it helps to track the Spatial-temporal on social media data with respect crime rate. With the very fast evolving of users in social media, sentimental analysis has become an excellent source of information in decision making. Twitter is one of the most popular social networking site for communication and a primary source of information. More than 150 million users publish above 500 million 140 character TWEETS each day. Tweets have become a basis for product recommendation using sentimental analysis. This paper explains the approach for analyzing the sentiments of the users about a particular crime event tweets posted by the active users. The results so obtained will let you know about the change in the public opinion about the crime events whether it's positive or negative and to find out emotions on different types of crimes.
1 October 2020 in International Journal of Digital Crime and Forensics
Verified
Journal Article
Closed access
PDF file
PBPrathap Rudra Boppuru
Prathap Rudra Boppuru
DEDeemed
Deemed
RKRamesha K.
Ramesha K.
In developing countries like India, crime plays a detrimental role in economic growth and prosperity. With the increase in delinquencies, law enforcement needs to deploy limited resources optimally to protect citizens. Data mining and predictive analytics provide the best options for the same. This paper examines the news feed data collected from various sources regarding crime in India and Bangalore city. The crimes are then classified on the geographic density and the crime patterns such as time of day to identify and visualize the distribution of national and regional crime such as theft, murder, alcoholism, assault, etc. In total, 68 types of crime-related dictionary keywords are classified into six classes based on the news feed data collected for one year. Kernel density estimation method is used to identify the hotspots of crime. With the help of the ARIMA model, time series prediction is performed on the data. The diversity of crime patterns is visualized in a customizable way with the help of a data mining platform.