M.S.Minu

@srmist.edu.in

Assistant Professor, Dept of Computer Science of Engineering
SRM Institute of Science & Technology

M.S.Minu


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https://researchid.co/msminu1990

EDUCATION

Phd, ME-CSE, BE-CSE

RESEARCH INTERESTS

Computer Network Security, AI, BD
40

Scopus Publications

327

Scholar Citations

7

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • A Machine Learning-Driven Framework for Accurate Brain Image Registration in Multimodal and Noisy Environments
    M. S. Minu, Mutharasu M, S. Hemamalini, Sunitha T, Mohanaprakash T A, Justindhas Y
    International Journal of Advanced Computer Science and Applications, 2026
    Brain image registration is fundamental for medical imaging to allow the matching of images from multiple modalities, temporal sequences, and people to offer spatial correlation. This is crucial for activities such as cohort studies, intervention recommendations, and treatment monitoring, where exact alignment assures consistent analysis. Notwithstanding their importance, modern brain image registration techniques have many shortcomings, including limited resistance to noise, misalignment in multi-modality images, and costly computational expenses. These limits may impede real-time clinical environment practical implementation and provide less than optimal registration accuracy. This study addresses these issues by means of an Improved Brain Image Registration Technique Using Machine Learning Algorithms (BIRT-MLA). The proposed architecture detects significant image properties by means of convolutional neural networks (CNNs), therefore enabling feature extraction. By applying a supervised learning method, it guarantees precise alignment even in noisy and demanding imaging situations by forecasting transformation parameters. Lowering the registration error by modern optimization techniques helps to save processing time and maintain remarkable accuracy even in this respect. Using CNNs, the proposed method helps to effectively classify brain images, thereby improving diagnostic support and the usefulness of registered images for downstream operations. Improving clinical judgment and simplifying processes rely on grouping registration and categorization into a logical sequence. By means of enhanced alignment precision, resistance to picture faults, and shortened computing time compared to current approaches, experimental findings expose the advantages of the suggested technology. This development may be very useful in clinical and experimental settings, thereby supporting the accuracy and efficiency of brain picture analysis.
  • Development of Hybrid Explainable Artificial Intelligence With Swin Vision Transformer Intrusion Detection for Securing VANETs From Attacks
    Bharathiraja N, M. S. Minu, Richa Vijay, M. Rajalakshmi, Pellakuri Vidyullatha, K. Balamurugan
    Transactions on Emerging Telecommunications Technologies, 2025
    Vehicular Ad‐hoc Networks (VANETs) are a cornerstone of Intelligent Transportation Systems (ITS), enabling efficient vehicle‐to‐vehicle and vehicle‐to‐infrastructure communication. However, their open and dynamic nature makes them highly susceptible to security threats such as Distributed Denial of Service (DDoS) attacks and the injection of false data by malicious nodes. Existing security mechanisms often fall short in addressing these challenges due to the real‐time and mobile characteristics of VANETs. This paper proposes a Hybrid Explainable Artificial Intelligence (XAI) framework integrated with a Swin Vision Transformer for robust intrusion detection in VANET environments. The proposed model leverages the Swin Transformer's hierarchical feature extraction capabilities and the interpretability of XAI to accurately classify network nodes based on behavioral and transmission characteristics. Key features such as packet transmission duration, communication regularity, and node status are analyzed to detect anomalies and differentiate between benign and malicious nodes. The inclusion of explainability allows for transparent decision‐making, facilitating trust and understanding in critical automotive applications. Simulation results validate the model's effectiveness in detecting a wide range of attack vectors while maintaining high accuracy and low false‐positive rates. This study contributes to the development of adaptive, intelligent, and trustworthy security solutions for next‐generation vehicular networks operating in complex urban traffic scenarios.
  • A smart review on imputation techniques for handling missing data
    R. Sivakani, J. Rahila, P. Sudha, S. Silvia Priscila, T. Shynu, M. S. Minu, V. Pradeep
    Machine Learning Predictive Analytics and Optimization in Complex Systems, 2025
    Missing data is an important problem in the digital world. Missing data means no value will be present in the dataset. Missing occurs for many reasons, including data loss, typing errors, system problems, less interest of the respondent, etc. This is a major issue for researchers, industry people, academicians, doctors, etc. The incomplete data will not support any solution. In this paper, a review of various research articles from 2009 to 2020 is analyzed. The techniques and algorithms used for the imputation have been analyzed. Imputation is the process involved in replacing the missing value. In addition, various algorithms, techniques, and methods are discussed in this paper to solve the above-said issue, and significant discussion is also done on the types of missing mechanisms. The main focus has been on the traditional and novel imputation methods.
  • Android-based Action Recognition with 3D CNN and UCF 101 dataset
    Abhijith Dasan, R. Darshan, Ashvyn Kumar, M. S. Minu, J. Arthy
    EPJ Web of Conferences, 2025
    A real-time video classification capability for mobile devices operates through an Android-based system supported by 3D CNN architecture and UCF-101 dataset processing. A new method uses MoViNet models integrated with TensorFlow Lite to execute video analysis directly on devices, so users get immediate feedback together with security of personal data. The system provides extensive practical benefits as it helps paralysis patients while also spotting dangerous training techniques and detecting strange movements during surveillance activities. The implemented model reaches 77.2% accuracy on UCF-101 while operating at a 45ms latency and requiring 6.0 GFLOPs which surpasses X3D-XL. Efficient resource management of this lightweight design enables mid-range mobile devices to work with the system which advances video analysis methods for edge computing systems. Future efforts will concentrate on raising power efficiency by using hardware-aware techniques while adding basic-processing technology support as well.
  • Sentinal.AI on emergency call operator using artificial intelligence and blockchain
    M. S. Minu, Prayasu Satapathy, Ishaan Dwivedi, S. S. Subashka Ramesh, M. B. Sudhan, G. Agalya
    Optimizing Patient Outcomes Through Multi Source Data Analysis in Healthcare, 2025
    Emergency call centers in India face critical challenges that can significantly impact response times and, ultimately, the lives of needy individuals. Factors such as call center overload and understaffing can lead to delays in attending to emergency calls, resulting in severe consequences. The Importance of Prompt Response in Life-Threatening Situations Prompt response is crucial in life-threatening situations, as it can significantly save lives and minimize property damage. However, overloaded or understaffed emergency call centers can hinder the promptness of response. One such innovative solution that addresses these challenges is Sentinel.AI, which leverages the power of artificial intelligence to prioritize emergency calls and efficiently relay vital information to emergency handlers. Sentinel.AI is an innovative solution designed specifically for emergency call centers in India to address these critical challenges.
  • Blockchain-enabled evoting on reinventing electoral processes for university elections
    M. S. Minu, K. S. Dattatreya, J. Mitesh, G. Raghunath, B. Vaidianathan, R. Regin
    Multidisciplinary Approaches to AI Data and Innovation for A Smarter World, 2025
    Elections in university settings frequently have difficulties with transparency, security, and accessibility. Traditional voting systems are prone to various issues, such as manipulation and logistical complexities. Over the past few years, blockchain technology has arisen as a hopeful remedy to tackle these obstacles, offering a transparent, secure, and decentralized avenue for conducting electronic voting (e-voting). This project presents a conceptual architecture for implementing a blockchain-based e-voting system tailored specifically for university-level elections. The suggested framework utilizes the intrinsic characteristics of blockchain to ensure the honesty and equity of the voting procedure. Key components of the architecture include a distributed ledger for recording votes, smart contracts for enforcing voting rules and conducting tallying, and a user-friendly interface for voters to cast their ballots securely.
  • A NeRF-Transformer Hybrid Framework for High-Quality 3D Scene Reconstruction and Contextual Interpretation
    M.S. Minu, Pujari Keerthika, Padmalakshmi S, Moksha R
    2025 1st International Conference on Smart and Intelligent Systems Siscon 2025, 2025
    In this project, we would be exploring the integration of N eRFs and Transformers, creating a hybrid pipeline for 3D Scene Understanding. NeRFs is a novice approach to reconstructing 3D scenes from 2D sparse image inputs. However, there are limitations in spatial understanding and complex scene understanding. Transformers offer a global attention mechanism and feature extraction abilities, and hence leveraging them would improve the spatial representation and coherence of reconstructed scenes. Performance is evaluated on both synthetic and real-world datasets, and bench marked against standard metrics like PSNR and SSIM. This project holds the capability to significantly impact applications in virtual reality, autonomous systems, and augmented reality by advancing the scalability and robustness of 3D scene reconstruction techniques.
  • Navigating the Complexities of Municipal Waste Management: Enhancing Cost Prediction for Sustainable Urban Solutions
    M. S. Minu, Tushar Samal, Khushi Bisani, Aishwarya Tewari
    Communications in Computer and Information Science, 2025
  • Internet of Things Assisted Sleep Quality Recognition using Hunger Games Search Optimization with Deep Learning on Smart Healthcare Systems
    M. B. Sudhan, .A DeepakKumar, Mathan Kumar Mounagurusamy, S. Navaneethan, B. Venkataramanaiah
    Journal of Intelligent Systems and Internet of Things, 2025
    Rapid urbanization needs major cities that change into smart cities to increase our lifestyle with respect to transportation, people, government, environmental sustainability, and more. In recent times, Internet of Things (IoT) and healthcare wearables have played a vital play in the progress of smart cities by providing enhanced healthcare services and an entire standard of living. Wearables offer
  • Scalable Summarization of Long-Form Video Transcripts using NLP
    Minu M S, Feroza D Mirajkar, T. A. Mohanaprakash, Kaviya D, Jasmine Fathima K, Maha S.
    6th International Conference on Mobile Computing and Sustainable Informatics Icmcsi 2025 Proceedings, 2025
    This research designs a system that, with the help of NLP, would sum up the YouTube video transcripts properly without losing any important information. Day in day out, time keeps on recording increasing numbers of videos that are housed in internet-based platforms. Educating is the most prominent explanation for all the global content being available and accessible. One might also train on the different networks such as Google, Facebook, Instagram, YouTube, and once again Google. The underlying truth that the viewer has to watch the entire film to really understand and appreciate the broader perspective shows one key element-is comparable with images where so much information and data can be extracted and understood from just one frame; it indicates that data extraction from videos is a both an important and challenging question. Thus, the aim of this research project is to comfortably shorten and summarize the length of the video transcript so that it can easily be understood. The proposed approach is to get transcripts by using the link given from the video provided by the user and then use TD-IDF combined with the BART transformer in order to text summarize. The model developed here successfully satisfies the consideration of video URLs shared by the user and the exact summary duration needed. At the end, this results in the detailed summary of the transcript for the videos. Comparing with the other proposed methods put forward, the final text translation has been found to be present much earlier than what the results initially suggested. Moreover, a significant point has to be added that the final text absolutely depicts the theme of the movie without any kind of change or alteration.
  • Privacy-Preserving Real-Time Action Recognition on Mobile Devices Using Edge Computing and CNNs
    M.S. Minu, K. Selvi, Dhanasakkaravarthi, Mohanaprakash T A, Darshan R, Abhijith Dasan, Ashvyn Kumar K
    2nd International Conference on Machine Learning and Autonomous Systems Icmlas 2025 Proceedings, 2025
  • Secure Routing E-voting Protocol based on Wireless Sensor Network Platform with Block chain
    Mohanaprakash T A, Ranganayaki V.C, M.S Minu, Durga Devi A, Cinthuja K
    International Journal of Electrical and Electronics Research, 2024
  • Enhanced Weld Defect Categorization via Nature-Inspired Optimization-Driven Neural Networks
    M. S. Antony Vigil, K. Maheswari, M. S. Minu, Gururaj L. Kulkarni, L. Chandra Sekhar Reddy, P. Satishkumar, Barun Haldar
    SN Computer Science, 2024
  • An innovative privacy preservation and security framework with fog nodes in enabled vanet system using hybrid encryption techniques
    M. S. Minu, P. Jona Innisai Rani, Vijaya Krishna Sonthi, G. Shankar, E Mohan, A. Rajesh
    Peer to Peer Networking and Applications, 2024
  • Effectivity of prediction enhancement of land cover classification for remote sensing images using automatic feature learning model
    M. S. Minu, M. Rajkumar, M. Ugash, S. S. Subashka Ramesh
    Cross Industry AI Applications, 2024
  • Domain Generalization and Multidimensional Approach for Brain MRI Segmentation Using Contrastive Representation Transfer Learning Algorithm
    S. S. Subashka Ramesh, Anish Jose, P. R. Samraysh, Harshavardhan Mulabagala, M. S. Minu, Varun Kumar Nomula
    Advancements in Clinical Medicine, 2024
  • Greensight: Advanced Carbon Emission Analytics
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Empowering Small-Scale Farmers with Decentralized Finance (DeFi) via Ethereum Smart Contracts
    M.S. Minu, S. Rohit Suryaa, J. Jovan Titus, S. Sharan
    2nd International Conference on Sustainable Computing and Smart Systems Icscss 2024 Proceedings, 2024
  • Customized Movie Recommendation for Enhanced Entertainment
    M.S. Minu, Srikar Talapalli, Saahithi Chevuri, Medhasri T.S.
    2024 International Conference on Cybernation and Computation Cybercom 2024, 2024
  • Intelligent E-Commerce Chatbot for Personalized Product Recommendations Using Text Mining and Machine Learning
    M.S. Minu, Adithya, Kavya, SreeRanjini
    2024 2nd International Conference on Advances in Computation Communication and Information Technology Icaiccit 2024, 2024
  • Automated EEG based Emotion Detection using Bonobo Optimizer with Deep Learning on Human Computer Interaction
    M. M., , , , , , , , , M. S. Minu, P. Vidyasri, Habeeb Omotunde, A. Tamizharasi, R. Logarasu, Rama Prabha K.. P., V. Subashree
    Journal of Intelligent Systems and Internet of Things, 2024
  • Efficient Maintenance of Hospital Records by Entrusted Proof of Work Algorithm in Block Chain Technology
    M. S. Minu, S. S. Subashka Ramesh, Sai Kartheek Reddy Peruru, N. M. Roshan
    Eai Springer Innovations in Communication and Computing, 2023
  • ENVIRONMENTAL RISK FACTORS ANALYSIS FOR BRAIN TUMOR USING ADAPTED CHICKEN SWARM OPTIMISATION
    Journal of Environmental Protection and Ecology, 2023
  • Windmill Pitch Prediction And Error Correction With Adaptive Control And Current Generation Analysis Using Data Analysis
    M. S. Minu, Rohit Suryaa S, Jovan Titus J, Sharan S
    2023 International Conference on Energy Materials and Communication Engineering Icemce 2023, 2023
  • Optimal Hybrid Modeling Scheme for Electricity Price Prediction Using Ensemble Learning
    M S Minu, M. Yeshwanth, K. VenkataRatnam, N. Sai Deepak Reddy
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • A Hybrid Deep IoT Network-Driven Anomaly Detection using Multi-Scale Deep Representation Learning
    M.S. Minu, KolanuMallikarjun Reddy, DouleNithishkumar, AmbadasRithvikBhargav
    Proceedings of the 2nd International Conference on Edge Computing and Applications Icecaa 2023, 2023
  • Deep learning-based aerial image classification model using inception with residual network and multilayer perceptron
    M.S. Minu, R. Aroul Canessane
    Microprocessors and Microsystems, 2022
  • Optimal Squeeze Net with Deep Neural Network-Based Arial Image Classification Model in Unmanned Aerial Vehicles
    Minu M S, Aroul Canessane R, Subashka Ramesh S S
    Traitement Du Signal, 2022
  • An Adaptive and Integrated Prediction of Taxi Trajectories using Regression Model
    M.S. Minu, V. Harshawardhini, S. Priyadarshini, T. Subhashini
    3rd International Conference on Smart Electronics and Communication Icosec 2022 Proceedings, 2022
  • An Efficient Squirrel Search Algorithm based Vector Quantization for Image Compression in Unmanned Aerial Vehicles
    M. S. Minu, R. Aroul Canessane
    Proceedings International Conference on Artificial Intelligence and Smart Systems Icais 2021, 2021
  • Secure image transmission scheme in unmanned aerial vehicles using multiple share creation with optimal elliptic curve cryptography
    Minu M. S., Aroul Canessane R.
    Indian Journal of Computer Science and Engineering, 2021
  • Performing Experimentation with Physics Model to Predict Statistical Weather Condition
    A. Jayanthiladevi, V. Nagaraju, L. Devi, N. Padmavathi, P. Sailaja, M.S Minu, B R Tapas Bapu
    Journal of Physics Conference Series, 2020
  • Face recognition system based on haar cascade classifier
    International Journal of Advanced Science and Technology, 2020
  • Arduino controlled multipurpose war field spy robot for military surveillance
    International Journal of Advanced Science and Technology, 2020
  • Detecting online spams through supervised learning techniques
    M.S Minu*, , Kamagiri Mounika, N. Suhasini, Bezawada Tejaswi, , , and
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Enhanced image capturing using CNN
    International Journal of Engineering and Advanced Technology, 2019
  • Cervical cancer prediction using naïve bayes classification
    International Journal of Engineering and Advanced Technology, 2019
  • Data analyzer using the concept of machine learning
    International Journal of Engineering and Advanced Technology, 2019
  • Prevention of hacking in vanets using network security
    International Journal of Recent Technology and Engineering, 2019
  • Real time college bus monitoring and notification system
    International Journal of Recent Technology and Engineering, 2018

RECENT SCHOLAR PUBLICATIONS

  • A NeRF-Transformer Hybrid Framework for High-Quality 3D Scene Reconstruction and Contextual Interpretation
    MS Minu, P Keerthika, P S, M R
    2025 1st International Conference on Smart and Intelligent Systems (SISCON) , 2026
    2026
  • Implementing Cybersecurity Policies to Minimize the Impacts of Deepfakes on Universities
    S Manikandan, MS Minu, SSS Ramesh, K Sivasankari, S Saranya, ...
    Safeguarding Educational Integrity Through Deepfake Face Detection, 361-384 , 2026
    2026
  • A Smart Review on Imputation Techniques for Handling Missing Data
    R Sivakani, J Rahila, P Sudha, SS Priscila, T Shynu, MS Minu, V Pradeep
    Machine Learning, Predictive Analytics, and Optimization in Complex Systems … , 2026
    2026
  • Development of Hybrid Explainable Artificial Intelligence With Swin Vision Transformer Intrusion Detection for Securing VANETs From Attacks
    N, Bharathiraja, MS Minu, R Vijay, M Rajalakshmi, P Vidyullatha, ...
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES 36 (10) , 2025
    2025
  • CommunityDetectioninFinancialNetworksforAMLUsingGNNs
    TA M.S. Minu1,*, S. Eswaran2 , Janisa Ria D2 , V.B. Shreesha2
    2025
  • EnhancedBrainTumorDelineationUsingt-SNEandMachine learningalgorithms
    VK M. S. Minu1,*, N M Vedhinee1 , Prakratee Singh1
    Proceedings of the 4th International Conference on Information Technology … , 2025
    2025
  • Privacy-Preserving Real-Time Action Recognition on Mobile Devices Using Edge Computing and CNNs
    MS Minu, K Selvi, A Dasan
    2025 International Conference on Machine Learning and Autonomous Systems … , 2025
    2025
    Citations: 2
  • Navigating the Complexities of Municipal Waste Management: Enhancing Cost Prediction for Sustainable Urban Solutions
    A Minu, M.S., Samal, T., Bisani, K., ...Tewari
    Communications in Computer and Information Science 2361 CCIS, pp. 204-220 … , 2025
    2025
  • Scalable Summarization of Long-Form Video Transcripts Using NLP
    MS Minu, FD Mirajkar, TA Mohanaprakash, D Kaviya, S Maha
    2025 6th International Conference on Mobile Computing and Sustainable … , 2025
    2025
    Citations: 2
  • Android-based Action Recognition with 3D CNN and UCF 101 dataset
    A Dasan, R Darshan, A Kumar, MS Minu, J Arthy
    EPJ Web of Conferences 328, 01001 , 2025
    2025
    Citations: 3
  • Sentinal. AI on Emergency Call Operator Using Artificial Intelligence and Blockchain
    MS Minu, P Satapathy, I Dwivedi, SSS Ramesh, MB Sudhan, G Agalya
    Optimizing Patient Outcomes Through Multi-Source Data Analysis in Healthcare … , 2025
    2025
    Citations: 1
  • Blockchain-Enabled e-voting on reinventing electoral processes for university elections
    MS Minu, KS Dattatreya, J Mitesh, G Raghunath, B Vaidianathan, R Regin
    Multidisciplinary Approaches to AI, Data, and Innovation for a Smarter World … , 2025
    2025
    Citations: 1
  • Internet of Things Assisted Sleep Quality Recognition using Hunger Games Search Optimization with Deep Learning on Smart Healthcare Systems.
    MB Sudhan, MS Minu, MK Mounagurusamy, S Navaneethan, ...
    Journal of Intelligent Systems & Internet of Things 14 (1) , 2025
    2025
    Citations: 27
  • Secure Routing E-voting Protocol based on Wireless Sensor Network Platform with Block chain
    TA Mohanaprakash, R VC, MS Minu, K Cinthuja
    International Journal of Electrical and Electronics Research 12 (4), 1381-1390 , 2024
    2024
    Citations: 1
  • Intelligent E-Commerce Chatbot for Personalized Product Recommendations Using Text Mining and Machine Learning
    MS Minu
    2024 2nd International Conference on Advances in Computation, Communication … , 2024
    2024
  • Customized Movie Recommendation for Enhanced Entertainment
    MS Minu, S Talapalli, S Chevuri, M TS
    2024 International Conference on Cybernation and Computation (CYBERCOM), 151-156 , 2024
    2024
  • Enhanced Weld Defect Categorization via Nature-Inspired Optimization-Driven Neural Networks
    MS Antony Vigil, K Maheswari, MS Minu, GL Kulkarni, ...
    SN Computer Science 5 (8), 1035 , 2024
    2024
    Citations: 3
  • An Improved Deep Network Model to Isolate Lung Nodules from Histopathological Images Using an Orchestrated and Shifted Window Vision Transformer
    MSAV Ponnan Sabitha1 , Ramalingam Aroul Canessane2 , Manickarasi Sivathanu ...
    Traitement du Signal 41 (4), 2081-2091 , 2024
    2024
    Citations: 2
  • Empowering Small-Scale Farmers with Decentralized Finance (DeFi) via Ethereum Smart Contracts
    MS Minu, SR Suryaa, JJ Titus, S Sharan
    2024 2nd International Conference on Sustainable Computing and Smart Systems … , 2024
    2024
    Citations: 2
  • An innovative privacy preservation and security framework with fog nodes in enabled vanet system using hybrid encryption techniques
    MS Minu, PJI Rani, VK Sonthi, G Shankar, E Mohan, A Rajesh
    Peer-to-Peer Networking and Applications 17 (4), 2065-2089 , 2024
    2024
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • Optimal Squeeze Net with Deep Neural Network-Based Arial Image Classification Model in Unmanned Aerial Vehicles.
    MS Minu, SSS Ramesh
    Traitement du Signal 39 (1) , 2022
    2022.0
    Citations: 70
  • Face recognition system based on haar cascade classifier
    MS Minu, K Arun, A Tiwari, Rampuria
    International Journal of Advanced Science and Technology 29 (5), 3799 - 3805 , 2020
    2020.0
    Citations: 36
  • Deep learning-based aerial image classification model using inception with residual network and multilayer perceptron
    MS Minu, RA Canessane
    Microprocessors and Microsystems 95, 104652 , 2022
    2022.0
    Citations: 35
  • Experimental Analysis of UAV Networks Using Oppositional Glowworm Swarm Optimization and Deep Learning Clustering and Classification
    MS Minu, SSS Ramesh, RA Canessane, M Al-Amin, RB Sulaiman
    FMDB Transactions on Sustainable Computing Systems 1 (03 2023), 124 -134 , 2023
    2023.0
    Citations: 33
  • Internet of Things Assisted Sleep Quality Recognition using Hunger Games Search Optimization with Deep Learning on Smart Healthcare Systems.
    MB Sudhan, MS Minu, MK Mounagurusamy, S Navaneethan, ...
    Journal of Intelligent Systems & Internet of Things 14 (1) , 2025
    2025.0
    Citations: 27
  • QMLFD Based RSA Cryptosystem for Enhancing Data Security in Public Cloud Storage System
    ACR P Kaliyamoorthy
    Wireless Personal Communications 122 (1), 755-782 , 0
    Citations: 20
  • Domain Generalization and Multidimensional Approach for Brain MRI Segmentation Using Contrastive Representation Transfer Learning Algorithm
    SSS Ramesh, A Jose, PR Samraysh, H Mulabagala, MS Minu, ...
    Advancements in Clinical Medicine, 17-33 , 2024
    2024.0
    Citations: 18
  • An innovative privacy preservation and security framework with fog nodes in enabled vanet system using hybrid encryption techniques
    MS Minu, PJI Rani, VK Sonthi, G Shankar, E Mohan, A Rajesh
    Peer-to-Peer Networking and Applications 17 (4), 2065-2089 , 2024
    2024.0
    Citations: 7
  • Secure image transmission scheme in unmanned aerial vehicles using multiple share creation with optimal elliptic curve cryptography
    MS Minu, RA Canessane
    Indian Journal of Computer Science and Engineering 12 (1), 129-134 , 2021
    2021.0
    Citations: 7
  • Augmented Analytics: The Future of Business Intelligence
    MS Minu, Z Ahmed
    Recent Trends in Computer Science and Software Technology - Mantech … , 2020
    2020.0
    Citations: 7
  • An efficient squirrel search algorithm based vector quantization for image compression in unmanned aerial vehicles
    MS Minu, RA Canessane
    2021 International Conference on Artificial Intelligence and Smart Systems … , 2021
    2021.0
    Citations: 6
  • Efficient maintenance of hospital records by entrusted proof of work algorithm in block chain technology
    MS Minu, SSS Ramesh, SKR Peruru, NM Roshan
    Computational Intelligence for Clinical Diagnosis, 337-351 , 2023
    2023.0
    Citations: 5
  • Crop Yield Prediction Using Machine Learning
    MS Minu, V Dharrsan, C Immanuel
    ADALYA JOURNAL (ISSN NO: 1301-2746) 9 (4), 98-102 , 2020
    2020.0
    Citations: 5
  • Real time college bus monitoring and notification system
    MS Minu, KND Adithya
    International Journal of Advance Research in Science and Engineering (IJARSE … , 2018
    2018.0
    Citations: 5
  • Arduino Controlled Multipurpose War Field Spy Robot for Military Surveillance
    MS Minu, M Alekya, M Supriya, P Malvika
    International Journal of Advanced Science and Technology 29 (03), 5485 - 5494 , 2020
    2020.0
    Citations: 4
  • Flight Delay Prediction using Binary Classification
    R Musaddi, A Jaiswal, J Pooja, M Girdonia, MS Minu
    International Journal of Emerging Technologies in Engineering Research … , 2018
    2018.0
    Citations: 4
  • Automated EEG based Emotion Detection using Bonobo Optimizer with Deep Learning on Human Computer Interaction
    VS Siva Satya Sreedhar P. 1 , M. S. Minu2,*, P. Vidyasri3 , Habeeb Omotunde4 ...
    Journal of Intelligent Systems and Internet of Things 12 (1), 70-83 , 0
    Citations: 4
  • Android-based Action Recognition with 3D CNN and UCF 101 dataset
    A Dasan, R Darshan, A Kumar, MS Minu, J Arthy
    EPJ Web of Conferences 328, 01001 , 2025
    2025.0
    Citations: 3
  • Enhanced Weld Defect Categorization via Nature-Inspired Optimization-Driven Neural Networks
    MS Antony Vigil, K Maheswari, MS Minu, GL Kulkarni, ...
    SN Computer Science 5 (8), 1035 , 2024
    2024.0
    Citations: 3
  • A Hybrid Deep IoT Network-Driven Anomaly Detection using Multi-Scale Deep Representation Learning
    MS Minu, KM Reddy
    2023 2nd International Conference on Edge Computing and Applications (ICECAA … , 2023
    2023.0
    Citations: 3