Dinesh Vitthalrao Rojatkar

@gcoea.ac.in

Associate professor in Electronics Engineering
Government College of Engineering Amravati Maharashtra

Dinesh Vitthalrao Rojatkar


                        Download Compact PDF  
https://researchid.co/dineshvr

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition
25

Scopus Publications

351

Scholar Citations

11

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Comparative Analysis of Different VANET Protocols and the Need for a Hybrid Protocol Using Satellite Communication and GPS Network
    Samrat Subodh Thorat, Dinesh Vitthalrao Rojatkar, Prashant R. Deshmukh
    Lecture Notes in Networks and Systems, 2026
  • Framework for Cooperative Routing Optimization in FANETs: A Multi-Agent Perspective
    Gajanan D. Nagoshe, D. V. Rojatkar, Ajay B Gadicha
    Proceedings 3rd International Conference on Artificial Intelligence and Machine Learning Applications Healthcare and Internet of Things Aimla 2025, 2025
    Design of effective routing network for Flying Ad-Hoc Networks (FANETs) is difficult due to its inherent dynamic nature, constantly shifting topology, and resource constraints, despite of all this important of FANET in various application like surveillance, disaster management and environmental survey proven crucial. Continuous development in the field of strategies for route optimization, node synchronization, and efficient resource allocation is crucial to overcoming these obstacles. Recommended Cooperative routing architecture based on multi-agent systems shows the improvement in connection dependability, latency, and improve energy efficiency, in this. The methodology applies agent-based cooperation to adjust to dynamic nature of network. Results obtained from simulations on a FANET scenario with 20 UAVs show significant gains as 15.6% growth in connection dependability, an 18.7% reduction in latency, and a 24.3% decrease in energy usage as compared to conventional routing protocol
  • Hybrid Moth-Flame Optimization and Bat Algorithm for Energy-Efficient FANETs
    Gajanan D. Nagoshe, D. V. Rojatkar, Ajay B. Gadicha
    2025 World Skills Conference on Universal Data Analytics and Sciences Worldsuas 2025, 2025
    Flying Ad-hoc Networks (FANET) have garnered substantial interest recently due to their prospective applications in domains encompassing emergency response, monitoring, and relaying communiques. The crafting of effective schemes to tackle difficulties including route optimization, node synchronization, and resource allocation is indispensable for FANET's advancement. This paper proposes a Hybrid Optimization Algorithm by integrating Moth-Flame optimization (MFO) with Bat algorithm for Flying Ad Hoc Networks FANETs. It mainly deals with energy-efficient routing, latency and deployment using MFO-BA in case of the BA, MFO AND ACO does not have well results. The proposed hybrid method takes advantage of adaptive exploration capabilities from MFO and dynamic search employing mechanism through BAT. Simulation results show the energy cost incurred on a network by using the proposed hybrid MFO- BA algorithm to minimize energy consumption while improving performance over independently optimized methods. Mean energy consumption of Hybrid MFO-BA algorithm shows drastic improvement over MFO and BA algorithm. The efficacy of the hybrid MFO-BA algorithm has been benchmarked against the individual implementations of MFO, ACO, and BA. Performance evaluation is conducted based on the optimal fitness value, specifically targeting energy consumption across iterative runs. The simulation results demonstrate a notable fitness value of 0.025 with a standard deviation of 0.002, indicating both consistency and superior energy optimization.
  • Literature Review on Ship Detection Methods using Satellite-borne Synthetic Aperture Radar for Maritime Surveillance
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • A Comprehensive Analysis of Stress Detection and Classification Models for Crop Health Assessment
    Kapil S. Pachpor, Dinesh V. Rojatkar
    Esic 2024 4th International Conference on Emerging Systems and Intelligent Computing Proceedings, 2024
    Crop health assessment is crucial for ensuring food security and sustainable agriculture practices. Stress detection and classification models have gained significant attention in recent years as a means of monitoring and managing crop health. In this review paper, we analyze the existing state of the art stress detection and classification models for crop detection, with a focus on their performance, strengths, and limitations. Our analysis covers four main areas: stress detection models, stress classification models,integrated models that combine both approaches and Crop stress severity quantification approaches. We have provided a critical evaluation of each model type, including an overview of the feature extraction techniques, algorithms, and classification methods used. We have also compared the performance metrics and benchmarks across models and discuss their potential for practical application in the agriculture industry. Our findings indicate that while significant progress has been made in the development of stress detection and classification models for crop health assessment, there are still challenges and limitations that need to be addressed. These include issues related to data acquisition and labeling, algorithm scalability and robustness, and model interpretability and explainability. We also identify opportunities for future research and development, such as the use of advanced machine learning methods, the integration of multi-modal data sources, and the development of standardized evaluation frameworks. In conclusion, our review provides a comprehensive overview of the state of the art in stress detection and classification models for crop health assessment. We identify key challenges and opportunities for future research and development and highlight the potential benefits of these models for the agriculture industry. Our findings contribute to the broader discussion on the role of AI and machine learning in agriculture and provide insights for researchers, practitioners, and policymakers.
  • A Deep Learning Approach for Sustainable Ad Hoc Vehicular Network
    Samrat Subodh Thorat, Dinesh Vitthalrao Rojatkar, Prashant R. Deshmukh
    Lecture Notes in Networks and Systems, 2024
  • Enhancing Cybersecurity and Threat Detection in Vehicular Ad-Hoc Networks (VANETs) using Blockchain and Fallback Policy
    Samrat Thorat, Dinesh Rojatkar, Prashant Deshmukh
    2024 2nd Dmiher International Conference on Artificial Intelligence in Healthcare Education and Industry Idicaiei 2024, 2024
    In the era of autonomous vehicles, Vehicular Ad-hoc networks (VANETs) are critical components of any Intelligent Transportation System (ITS). A Cyber security challenge makes VANETs vulnerable to various attacks, threats and challenges such as data manipulation, data tampering, denial-of-service attacks, privacy breaches and jamming of networks. This paper tries to explore the various cyber security challenges in VANETs and proposes an enhanced threat detection framework comprising deep-learning techniques and blockchain technology. The proposed framework aims to improve the detection accuracy of malicious activities and ensure secure communication among vehicles and infrastructure. Thus, saving lives and costs involved by a better fallback policy or contingency plan.
  • Comparison of Various Datasets Available for Faithfully Communication in VANET thus Restricting Intrusion in Ad Hoc Network
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Intrusion Detection for Vehicular Ad Hoc Network Based on Deep Belief Network
    Rasika S. Vitalkar, Samrat S. Thorat, Dinesh V. Rojatkar
    Lecture Notes on Data Engineering and Communications Technologies, 2022
  • A Review on Smart Agriculture using IoT
    Bhairavi D. Thakare, Dinesh V. Rojatkar
    Proceedings of the 6th International Conference on Communication and Electronics Systems Icces 2021, 2021
    Smart Agriculture is an emerging concept that refers to managing agriculture using IoT Technologies to extend the standard and quantity of products. Over the past few years, IoT has grown into one of the leading 21st century technology. The Internet of Things (IoT) explicate the network of physical objects integrated in sensors, software and other technology to connect and exchange data online with other systems and devices. This paper presents a review on smart agriculture using IoT by using various Sensors and cloud computing to store the information.
  • Middleware Challenges and Platform for IoT-A Survey
    Ankita Deohate, Dinesh Rojatkar
    Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
  • Sum up Work on Intrusion Detection System in Vehicular Ad-hoc Networks
    Pooja Badukale, Samrat Thorat, Dinesh Rojatkar
    Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
  • Traffic Accident Prediction Techniques in Vehicular Ad-hoc Network: A Survey
    Shweta Shendekar, Samrat Thorat, Dinesh Rojatkar
    Proceedings of the 5th International Conference on Trends in Electronics and Informatics Icoei 2021, 2021
  • Audio Based Violent Scene Detection Using Extreme Learning Machine Algorithm
    Mrunali D. Mahalle, Dinesh V. Rojatkar
    2021 6th International Conference for Convergence in Technology I2ct 2021, 2021
  • Model based Dehazing Algorithms for Hazy Image Restoration - A Review
    Deoyani Mujbaile, Dinesh Rojatkar
    2nd International Conference on Innovative Mechanisms for Industry Applications Icimia 2020 Conference Proceedings, 2020
  • Indian and European Script Identification: A Review
    Aditi R. Gaygole, Dinesh V. Rojatkar
    Lecture Notes in Electrical Engineering, 2020
  • A Review on Handwritten Indian Script Identification
    Lalit P. Ganorkar, Dinesh V. Rojatkar
    Lecture Notes in Electrical Engineering, 2020
  • Script Identification of South-East and South-West Asia: A Survey
    Sandeepa V. Zakarde, Dinesh V. Rojatkar
    Lecture Notes in Electrical Engineering, 2020
  • European Script Identification using Projection Profiles and Statistical Features for Handwritten Documents
    Aditi Gaygole, Dinesh Rojatkar
    International Conference on Intelligent Computing and Remote Sensing Icicrs 2019 Proceedings, 2019
  • Ensemble Bagging Script Identification of Handwritten South Asian Documents
    Sandeepa Zakarde, Dinesh Rojatkar
    International Conference on Intelligent Computing and Remote Sensing Icicrs 2019 Proceedings, 2019
  • Indian handwritten script identification system based on random forest tree ensembles
    , Lalit P. Ganorkar, Dinesh V. Rojatkar, and
    International Journal of Recent Technology and Engineering, 2019
  • A Review on South-East and South-West Asian Script Identification
    Sandeepa Zakarde, Dinesh Rojatkar
    2019 Innovations in Power and Advanced Computing Technologies I Pact 2019, 2019
  • A Review on Methods of Script Identification for Printed and Handwritten Documents
    Aditi Gaygole, Dinesh Rojatkar
    2019 Innovations in Power and Advanced Computing Technologies I Pact 2019, 2019
  • Design and analysis of LRTB feature based classifier applied to handwritten Devnagari characters: A neural network approach
    Dinesh V. Rojatkar, Krushna D. Chinchkhede, G. G. Sarate
    Proceedings of the 2013 International Conference on Advances in Computing Communications and Informatics Icacci 2013, 2013
  • Handwritten Devnagari consonants recognition using MLPNN with five fold cross validation
    D. V. Rojatkar, K. D. Chinchkhede, G. G. Sarate
    Proceedings of IEEE International Conference on Circuit Power and Computing Technologies Iccpct 2013, 2013

RECENT SCHOLAR PUBLICATIONS

  • Hybrid Moth-Flame Optimization and Bat Algorithm for Energy-Efficient FANETs
    GD Nagoshe, DV Rojatkar, AB Gadicha
    2025 World Skills Conference on Universal Data Analytics and Sciences … , 2025
    2025
    Citations: 1
  • Framework for Cooperative Routing Optimization in FANETs: A Multi-Agent Perspective
    GD Nagoshe, DV Rojatkar, AB Gadicha
    2025 3rd International Conference on Artificial Intelligence and Machine … , 2025
    2025
  • Comparative Analysis of Different VANET Protocols and the Need for a Hybrid Protocol Using Satellite Communication and GPS Network
    SS Thorat, DV Rojatkar, PR Deshmukh
    International Conference on Smart Trends for Information Technology and … , 2025
    2025
  • Detection of unknown attacks in VANET using a deep learning approach and IoT-based data set
    S Thorat, D Rojatkar, P Deshmukh
    Indian Soc. Tech. Educ 48, 20-28 , 2025
    2025
    Citations: 4
  • Enhancing Cybersecurity and Threat Detection in Vehicular Ad-Hoc Networks (VANETs) using Blockchain and Fallback Policy
    S Thorat, D Rojatkar, P Deshmukh
    2024 2nd DMIHER International Conference on Artificial Intelligence in … , 2024
    2024
    Citations: 2
  • A comprehensive analysis of stress detection and classification models for crop health assessment
    KS Pachpor, DV Rojatkar
    2024 International Conference on Emerging Systems and Intelligent Computing … , 2024
    2024
    Citations: 4
  • Literature Review on Ship Detection Methods using Satellite-borne Synthetic Aperture Radar for Maritime Surveillance.
    NS Gawai, DV Rojatkar
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
    Citations: 2
  • Comparison of Various Datasets Available for Faithfully Communication in VANET thus Restricting Intrusion in Ad Hoc Network.
    SS Thorat, DV Rojatkar, PR Deshmukh
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024
    Citations: 3
  • A deep learning approach for sustainable ad hoc vehicular network
    SS Thorat, DV Rojatkar, PR Deshmukh
    International Conference on Smart Computing and Communication, 429-443 , 2024
    2024
    Citations: 8
  • Intrusion detection for vehicular ad hoc network based on deep belief network
    RS Vitalkar, SS Thorat, DV Rojatkar
    Computer Networks and Inventive Communication Technologies: Proceedings of … , 2021
    2021
    Citations: 25
  • A review on smart agriculture using IoT
    BD Thakare, DV Rojatkar
    2021 6th International Conference on Communication and Electronics Systems … , 2021
    2021
    Citations: 10
  • Traffic accident prediction techniques in vehicular ad-hoc network: a survey
    S Shendekar, S Thorat, D Rojatkar
    2021 5th International conference on trends in electronics and informatics … , 2021
    2021
    Citations: 12
  • Sum up work on intrusion detection system in vehicular ad-hoc networks
    P Badukale, S Thorat, D Rojatkar
    2021 5th International Conference on Trends in Electronics and Informatics … , 2021
    2021
    Citations: 8
  • Middleware challenges and platform for IoT-A survey
    A Deohate, D Rojatkar
    2021 5th international conference on trends in electronics and informatics … , 2021
    2021
    Citations: 13
  • Audio based violent scene detection using extreme learning machine algorithm
    MD Mahalle, DV Rojatkar
    2021 6th international conference for convergence in technology (I2CT), 1-8 , 2021
    2021
    Citations: 13
  • computer networks and inventive communication technologies
    d v rojatkar
    2021
  • Script Identification of South-East and South-West Asia: A Survey
    SV Zakarde, DV Rojatkar
    ICDSMLA 2019: Proceedings of the 1st International Conference on Data … , 2020
    2020
  • Indian and european script identification: A review
    AR Gaygole, DV Rojatkar
    ICDSMLA 2019: Proceedings of the 1st International Conference on Data … , 2020
    2020
    Citations: 1
  • A review on handwritten indian script identification
    LP Ganorkar, DV Rojatkar
    ICDSMLA 2019: Proceedings of the 1st International Conference on Data … , 2020
    2020
    Citations: 1
  • Model based dehazing algorithms for hazy image restoration–a review
    D Mujbaile, D Rojatkar
    2020 2nd International Conference on Innovative Mechanisms for Industry … , 2020
    2020
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Soil parameters monitoring with automatic irrigation system
    SD Gainwar, DV Rojatkar
    International Journal of Science, Engineering and Technology Research … , 2015
    2015
    Citations: 44
  • Home automation: past, present and future
    SR Katre, DV Rojatkar
    Int. Res. J. Eng. Technol 4 (10), 343-346 , 2017
    2017
    Citations: 40
  • Intrusion detection for vehicular ad hoc network based on deep belief network
    RS Vitalkar, SS Thorat, DV Rojatkar
    Computer Networks and Inventive Communication Technologies: Proceedings of … , 2021
    2021
    Citations: 25
  • Image compression techniques: Lossy and lossless
    DV Rojatkar, ND Borkar, BR Naik, RN Peddiwar
    International Journal of Engineering Research and General Science 3 (2), 912-917 , 2015
    2015
    Citations: 24
  • Use of android in education system
    G Jengathe, DV Rojatkar
    International Journal of Electrical and Electronics Research 3 (4), 133-137 , 2015
    2015
    Citations: 22
  • Handwritten Devnagari consonants recognition using MLPNN with five fold cross validation
    DV Rojatkar, KD Chinchkhede, GG Sarate
    2013 International Conference on Circuits, Power and Computing Technologies … , 2013
    2013
    Citations: 21
  • Middleware challenges and platform for IoT-A survey
    A Deohate, D Rojatkar
    2021 5th international conference on trends in electronics and informatics … , 2021
    2021
    Citations: 13
  • Audio based violent scene detection using extreme learning machine algorithm
    MD Mahalle, DV Rojatkar
    2021 6th international conference for convergence in technology (I2CT), 1-8 , 2021
    2021
    Citations: 13
  • Intrusion detection system for vehicular ad-hoc network using deep learning
    RS Vitalkar, SS Thorat, DV Rojatkar
    Int Res J Eng Technol 7 (12), 2294-2300 , 2020
    2020
    Citations: 13
  • Design and analysis of LRTB feature based classifier applied to handwritten Devnagari characters: A neural network approach
    DV Rojatkar, KD Chinchkhede, GG Sarate
    2013 International Conference on Advances in Computing, Communications and … , 2013
    2013
    Citations: 13
  • Traffic accident prediction techniques in vehicular ad-hoc network: a survey
    S Shendekar, S Thorat, D Rojatkar
    2021 5th International conference on trends in electronics and informatics … , 2021
    2021
    Citations: 12
  • A survey: application of IoT
    P Ande, D Rojatkar
    International Research Journal of Engineering and Technology 4 (10), 347-350 , 2017
    2017
    Citations: 11
  • A review on smart agriculture using IoT
    BD Thakare, DV Rojatkar
    2021 6th International Conference on Communication and Electronics Systems … , 2021
    2021
    Citations: 10
  • Android Application Devlopment Software–Android Studio and Eclipse
    DV Rojatkar, GM Jengathe, AB Khairnar, SA Lengure
    International Journal For Engineering Applications and Technology 1 (1), 9-12 , 2016
    2016
    Citations: 10
  • A deep learning approach for sustainable ad hoc vehicular network
    SS Thorat, DV Rojatkar, PR Deshmukh
    International Conference on Smart Computing and Communication, 429-443 , 2024
    2024
    Citations: 8
  • Sum up work on intrusion detection system in vehicular ad-hoc networks
    P Badukale, S Thorat, D Rojatkar
    2021 5th International Conference on Trends in Electronics and Informatics … , 2021
    2021
    Citations: 8
  • Gesture recognition technology
    AP Meshram, DDV Rojatkar
    Journal of Emerging Technologies and Innovative Research (JETIR) 4 (1), 135-138 , 2017
    2017
    Citations: 6
  • A review-automatic railway gate control system
    S Shrirao, D Rojatkar
    International Journal of Scientific Research in Science, Engineering and … , 2016
    2016
    Citations: 6
  • Detection of unknown attacks in VANET using a deep learning approach and IoT-based data set
    S Thorat, D Rojatkar, P Deshmukh
    Indian Soc. Tech. Educ 48, 20-28 , 2025
    2025
    Citations: 4
  • A comprehensive analysis of stress detection and classification models for crop health assessment
    KS Pachpor, DV Rojatkar
    2024 International Conference on Emerging Systems and Intelligent Computing … , 2024
    2024
    Citations: 4