SHIVAMURTHAIAH M
@apsce.ac.in
Professor ,Computer Science and Engineering
APS College of Engineering VTU
Dr. Shivamurthaiah Mallaiah, He received his Ph.D. in Computer Science and Engineering,
from Rabindranath Tagore University, Bhopal, Bharat.
His fields of specialization include Artificial Intelligence, Software Engineering, Machine
Learning and Image Processing. He has got 17 Plus years of Teaching experience and 09
years of Research experience, served on various Academic and Examination committees as a
member (BOS and BOE) and Chair.
He is currently Professor and Head, Department of Computer Science & Engineering,
Dr. Sri. Sri. Sri. Shivakumara Mahaswamy College of Engineering - VTU, Bengaluru,
Karnataka, Bharat.
He has authored and co-authored more than 30 papers in SCOPUS/WOS/ICI/ Journals and
RPS Conference proceedings in the areas of Artificial Intelligence, Image processing and
published 07 patents + 02 Granted patents Indian and German respectively, and Received
KSTA, KSCST, UBA Grants.
An Organizer, keynote speaker, Technical Program Committee (TPC) member for a variety
of
EDUCATION
Ph.D. in Computer Science and Engineering
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science, Artificial Intelligence, Computer Science Applications
3
Scopus Publications
3609
Scholar Citations
28
Scholar h-index
89
Scholar i10-index
Scopus Publications
- Non-destructive Machine Vision System based Rice Classification using Ensemble Machine Learning Algorithms
Mrutyunjaya Mathad Shivamurthaiah and Harish Kumar Kushtagi Shetra
Bentham Science Publishers Ltd.
Aims and Background: Agriculture plays a major role in the global economy, providing food, raw materials, and jobs to billions of people and driving economic growth and poverty reduction. Rice is the most widely consumed crop domestically, making it a particularly important crop for rural populations. The exact number of rice varieties worldwide is difficult to determine as new varieties are constantly being developed and marketed. Objectives: The most common method of rice variety identification is a comparison of its physical and chemical properties to a reference collection of known types. Methodology: This is a relatively quick and cost-effective approach that can be used to accurately differentiate between distinct varieties. In some cases, genetic testing may be used to confirm the identity of a variety, although this technique is more expensive and time-consuming. However, we can also utilize efficient, precise, and cost-effective digital image processing and machine vision techniques. Results: This study describes different types of ensemble methods, such as bagging (Decision Tree, Random Forest, Extra Tree), boosting (AdaBoost, Gradient Boost, and XGBoost), and voting classifiers to classify five different varieties of rice. Extreme Gradient Boosting (XGBoost) has achieved the highest average classification accuracy of 99.60% among all the algorithms. Conclusion: The findings of the performance measurement indicated that the proposed model was successful in classifying the various varieties of rice. - An Improved Gannet Optimization Algorithm Based on Opposition-Based Schemes for Feature Selection Problems in High-Dimensional Datasets
N. Avinash, Sitesh Kumar Sinha, and M. Shivamurthaiah
Springer Science and Business Media LLC - Applicability of Search Engine Optimization for WordPress (WP) Website
Debabrata Singh, M Shivamurthaiah, Debabrata Samanta, Abhishek Bhattacharya, and Soumi Dutta
Springer Nature Singapore
RECENT SCHOLAR PUBLICATIONS
- Introduction to Digital Imaging
A Jamshed, PS Mehra, D Samanta, T Gupta, B Bhardwaj
Computer-Assisted Analysis for Digital Medicinal Imagery, 1-28 2025 - Overview of the Marketing Strategies Adopted by Different Pharmaceutical Companies
P Kumar, RY Zai, PK Srivastava
Pharma Marketing and Pharmacoeconomics, 143-149 2024 - https://nano-ntp.com/index.php/nano/article/view/3759
M N, V Suraparaju, S M
Nanotechnology Perceptions 20 (6), 4281 2024 - Impact of Internet of Things (IoT) applications on HR analytics and sustainable business practices in smart city
SK Podder, D Samanta, BP Etemi
Measurement: Sensors 35, 101296 2024 - Technologies that Work Together for Precision Agriculture
DP Singh, S Gupta, D Ganesh, S Sharma, A Kalnawat, S Pramanik, ...
Data Driven Mathematical Modeling in Agriculture, 367-388 2024 - Use of CNNs and Their Frameworks for the Detection of Fungal Herb Disease
R Raghavendra, AK Saxena, A Awasthi, SS Dari, J Jose, D Samanta, ...
Data Driven Mathematical Modeling in Agriculture, 1-12 2024 - Crop yield prediction using automated analytical and predictive techniques
B Patidar, SK Sinha, A Jain
Artificial Intelligence and Information Technologies, 441-446 2024 - Deep Analysis and Advancements in Named Entity Recognition -NER
SM Madhu N Veenadhari S
Journal of Harbin Engineering University 45 (6), 171 - 185 2024 - Blockchain-based user authentication and data-sharing framework for healthcare industries
P Soni, SKH Islam, AK Pal, N Mishra, D Samanta
IEEE Transactions on Network Science and Engineering 2024 - Crop Welfare and Security to Farmers
P Charanarur, SR Gundu, J Vijaylaxmi, D Samanta
Advanced Technologies for Smart Agriculture, 301-320 2024 - Distributed feedback laser (DFB) for signal power amplitude level improvement in long spectral band
D Samanta, M Sivaram, ANZ Rashed, CS Boopathi, IS Amiri, P Yupapin
Journal of Optical Communications 44 (s1), s125-s130 2024 - An Improved Gannet Optimization Algorithm Based on Opposition-Based Schemes for Feature Selection Problems in High-Dimensional Datasets
SKSMS N. Avinash
SN Computer Science 5 (https://doi.org/10.1007/s42979-023-02487), 183 2024 - Computational Intelligence in Communication Networks: Classification, Clustering, Reinforcement Learning, Deep Learning
K Muloor, SK Sahu, TK Behera, D Samanta
Intelligent Communication Networks, 221-236 2024 - Feature selection techniques for microarray dataset: a review
S Rao, A.N. , Sinha, S.K. , Mallaiah
IAES International Journal of Artificial Intelligence 13 (2), 2395–2402 2024 - Feature selection techniques for microarray dataset: a review
SM Avinash Nagaraja Rao, Sitesh Kumar Sinha
IAES International Journal of Artificial Intelligence (IJ-AI) 13 (2), 2395-2402 2024 - Human-Centric Smart Computing: Proceedings of ICHCSC 2023
S Bhattacharyya, JS Banerjee, M Kppen
Springer Nature 2024 - Twitter-based sentiment analysis on Russia-Ukraine war
S Dutta, A Bhattacharya, Y Totaj, A Beluli, D Samanta, BP Etemi
4th International Conference on Distributed Sensing and Intelligent Systems 2023 - Conceptual Framework and Impact of Blended Education System on Employability Skills
S Podder, L Bicaj, D Samanta
International Conference on Cyber Intelligence and Information Retrieval 2023 - Impact of Health Information Systems on Healthcare Service Quality in Supporting Non-communicable Disease Management in Kosovo
A Ymerhalili, D Samanta, S Podder
International Conference on Cyber Intelligence and Information Retrieval 2023 - DNA Transcription and Translation Inspired Deep Features for Classification-Based CBIR
J Pradhan, AK Pal, SKH Islam, D Samanta
International Conference on Intelligent Systems Design and Applications, 273-284 2023
MOST CITED SCHOLAR PUBLICATIONS
- An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning
A Khamparia, PK Singh, P Rani, D Samanta, A Khanna, B Bhushan
Transactions on Emerging Telecommunications Technologies 32 (7), e3963 2021
Citations: 230 - Machine learning technology‐based heart disease detection models
U Nagavelli, D Samanta, P Chakraborty
Journal of Healthcare Engineering 2022 (1), 7351061 2022
Citations: 178 - IoT‐based smart alert system for drowsy driver detection
AK Biswal, D Singh, BK Pattanayak, D Samanta, MH Yang
Wireless communications and mobile computing 2021 (1), 6627217 2021
Citations: 161 - An overview: security issue in IoT network
R Gurunath, M Agarwal, A Nandi, D Samanta
2018 2nd international conference on I-SMAC (IoT in social, Mobile 2018
Citations: 127 - Research initiative on sustainable education system: model of balancing green computing and ICT in quality education
SK Podder, M Karuppiah, B Thomas, D Samanta
2022 Interdisciplinary Research in Technology and Management (IRTM), 1-5 2022
Citations: 115 - Distributed feedback laser (DFB) for signal power amplitude level improvement in long spectral band
D Samanta, M Sivaram, ANZ Rashed, CS Boopathi, IS Amiri, P Yupapin
Journal of Optical Communications 44 (s1), s125-s130 2024
Citations: 108 - Malicious node detection using heterogeneous cluster based secure routing protocol (HCBS) in wireless adhoc sensor networks
V Gomathy, N Padhy, D Samanta, M Sivaram, V Jain, IS Amiri
Journal of Ambient Intelligence and Humanized Computing 11 (11), 4995-5001 2020
Citations: 107 - Hybrid approach to document anomaly detection: an application to facilitate RPA in title insurance
A Guha, D Samanta
International Journal of Automation and Computing 18 (1), 55-72 2021
Citations: 76 - Dynamic job scheduling in cloud computing based on horizontal load balancing
M Paul, D Samanta, G Sanyal
International Journal of Computer Technology and Applications (IJCTA) 2 (5 2011
Citations: 63 - A novel approach for web mining taxonomy for high-performance computing
D Samanta, S Dutta, MG Galety, S Pramanik
Cyber Intelligence and Information Retrieval: Proceedings of CIIR 2021, 425-432 2022
Citations: 61 - General study of intrusion detection system and survey of agent based intrusion detection system
AK Saxena, S Sinha, P Shukla
2017 International conference on computing, communication and automation 2017
Citations: 61 - Data security-based routing in MANETs using key management mechanism
P Bondada, D Samanta, M Kaur, HN Lee
Applied Sciences 12 (3), 1041 2022
Citations: 56 - A novel free space communication system using nonlinear InGaAsP microsystem resonators for enabling power-control toward smart cities
P Sivakumar, R Nagaraju, D Samanta, M Sivaram, MN Hindia, IS Amiri
Wireless Networks 26 (4), 2317-2328 2020
Citations: 55 - The realist approach for evaluation of computational intelligence in software engineering
RR Althar, D Samanta
Innovations in Systems and Software Engineering 17 (1), 17-27 2021
Citations: 53 - An empirical study on customer experience and customer engagement towards electric bikes with reference to Bangalore City
BZ Mohammed, PM Kumar, S Thilaga, M Basha
Journal of Positive School Psychology 6 (6), 4591-4597 2022
Citations: 51 - A deep learning model for information loss prevention from multi-page digital documents
A Guha, D Samanta, A Banerjee, D Agarwal
Ieee Access 9, 80451-80465 2021
Citations: 50 - Cipher block chaining support vector machine for secured decentralized cloud enabled intelligent IoT architecture
D Samanta, AH Alahmadi, MP Karthikeyan, MZ Khan, A Banerjee, ...
IEEE Access 9, 98013-98025 2021
Citations: 49 - Design, modelling and system level simulations of DRIE-based MEMS differential capacitive accelerometer
R Mukhiya, P Agarwal, S Badjatya, M Garg, P Gaikwad, S Sinha, ...
Microsystem technologies 25, 3521-3532 2019
Citations: 48 - Design and development of image security technique by using cryptography and steganography: a combine approach
AK Saxena, S Sinha, P Shukla
International Journal of Image, Graphics and Signal Processing 10 (4), 13 2018
Citations: 48 - Data mining approaches for decision support systems
S Pramanik, MG Galety, D Samanta, NP Joseph
3rd international conference on emerging technologies in data mining and 2022
Citations: 42
GRANT DETAILS
KSTA KSCST
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Granted: Air Quality Sensing Tag -Design.
CBR Number: 11102 / 318705-001 Dated 13/06/2019
2. EIN SYSTEM ZUR BRUSTKREBSERKENNUNG MITTELS
BILDVERARBEITUNG
Nr. 20 2022 104 873, 03/01/2023, Germany