Senthil Velan S

@cmrit.ac.in

Professor, Information Science and Engineering
CMR Institute of Technology, Bengaluru, India

Senthil Velan S


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

RESEARCH INTERESTS

Software Engineering, Data Analytics, Machine Learning, Artificial Intelligence
35

Scopus Publications

437

Scholar Citations

10

Scholar h-index

10

Scholar i10-index

Scopus Publications

  • Organizational Practices of Dynamic Project Scheduling Using CPM
    Chamundeswari Arumugam, Senthil Velan Suganantham, Srinivasan Vaidyanathan
    Deep Learning Applications in Operations Research, 2026
    As organizations of different scales, strength, and complexity execute projects, dynamically scheduling, rescheduling, and tracking them depending on changes to the baselined scope is of paramount importance. This chapter aims to present various scenarios for accommodating changes to the time duration and resource parameters resulting from a change in scope of a project, using project evaluation and review technique (PERT) and the critical path method (CPM). This is an operation research application, research tool, PERT, and CPM. The CPM technique helps identify the longest sequence of duration tasks, which signifies the total time duration of the entire project. It also provides a view of the float, which implies the amount of time that a task can be delayed without impacting the critical path or total duration of the project. PERT is used to visually represent the workflow, milestone identifications, and outlining the critical path. Estimation was computed using function points as per IFPUG standards. Corresponding efforts and schedule were determined using International Software Benchmarking Standards Group’s (ISBSG). A total of seven scenarios were identified for a given increase or decrease in scope, which resulted in no variations, or resultant variations in either schedule or resources or both. For the given data set, the obtained variations and the visual representation of the same enable project managers to do “what if” analysis, model similar scenarios, and potential impacts to schedule and/or resources specific for their specific projects.
  • DermAI: Automatic Skin Cancer Classification Using Deep Learning
    Adarsh Hadagil, Adarsh Vinayak Bhat, Gowda Karthik S, Senthil Velan Suganantham
    Proceedings of 8th International Conference on Intelligent Sustainable Systems Iciss 2026, 2026
    Derm-AI is a hybrid deep learning framework developed for automated skin cancer classification, combining dermoscopic image analysis with patient metadata to enhance diagnostic precision. Unlike traditional image-only approaches, the proposed system fuses EfficientNet-B4-based visual features with auxiliary inputs such as age, gender, and lesion location, capturing both visual and clinical context. The system incorporates comprehensive pre-processing, targeted augmentation, and stratified data balancing to improve robustness across benign and malignant classes. Fine-tuning of mid-level convolutional layers enables domain-specific feature adaptation without overfitting. The model achieves an accuracy of 85% and ROC-AUC of 0.9243, outperforming conventional transfer learning baselines. A Flask-based backend API ensures seamless real-time inference and integration with web applications. Derm-AI demonstrates scalability, interpretability, and clinical reliability in skin lesion assessment. By uniting efficiency and intelligence, it advances AI-driven dermatology -“Derm-AI: Precision that learns the language of skin.”
  • Deep learning-based user authentication with hybrid encryption for secured blockchain-aided data storage and optimal task offloading in mobile edge computing
    N. S. Gowri Ganesh, V. Balasubramanian, D. Venkata Vara Prasad, S. Senthil Velan
    Wireless Networks, 2025
  • Evaluation and Inference of a Proposed, Improved and Efficient W Model for Software Testing
    S Senthil Velan, Sivaranjani Senthil Velan, P Rubini, K Sudhakar
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
    Software Testing is an important and measured/outcome-oriented field that requires an in-depth analysis for developing new methodologies. This enables the development of high-quality end product resulting in fewer maintenance schedules. Several models have been proposed by research teams of different companies leading to improved development and testing schedules. Even with the availability of these models, a significant allocation of the budget has been dedicated purely on the maintenance of software developed by the IT industry. In order to address this need for improved process models of testing, a new exclusive and efficient W model has been proposed and explained in this paper. This model can improve the quality of end product, namely the high-quality software and further reduce the cost involved for the maintenance. Based on the quantitative measurement the proposed W software testing model, it was found the small scale software developed by adopting this method produces high-quality software with 50% less errors/faults compared to development using classical life cycle model.
  • Detection of Diabetic Retinopathy using the Application of Deep Learning Model
    D Rakshitha, G H Manasa, S Senthil Velan, R D Gomathi
    2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024, 2024
    Diabetic Retinopathy is a major cause of blindness, especially among working-age adults globally. Early detection is crucial to prevent vision loss. However, diagnosing DR through color fundus images is challenging because of the need for the experienced clinicians to identify subtle features and navigate complex grading systems. This paper proposes a novel approach for the diagnosis of the occurrence of diabetic retinopathy based on the retinal fundus images of the patients using Convolutional Neural Network (CNNs) and deep learning. Our approach utilizes data augmentation with CNN architecture to effectively classify the severity of Diabetic Retinopathy from the given retinal fundus images. CNN in the proposed model is trained on a high-end graphics processing unit (GPU) to identify intricate features like micro aneurysms, exudates and hemorrhages. The proposed model provides a more reliable and generalizable solution compared to existing software-based methods enabling early diagnosis of Diabetic Retinopathy, thereby potentially saving eyesight in many individuals. This System has given the potential to improve diagnosis of patient outcomes and revolutionize DR diagnosis, particularly in resource-limited settings. The results of applying this model have shown higher accuracy of around 90% in the identification of the stages of diabetic retinopathy for retinal fundus images of a given patient.
  • Application of SVM Classifier to model and analyse the Popularity of Games using Players feedback
    Divya Singh, Senthil Velan S
    Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, 2023
    Prediction or forecasting is the technique of uncovering the forth coming event by learning and obtaining experience through data collected from historical happenings and results. Prediction is used in almost every field today be it retail, healthcare, finance, marketing, travel, insurance, telecommunications, pharmaceuticals, language processing, and other fields. Analytics can be based on the collected data and is commonly and broadly used for analyzing and extracting knowledge obtained from data collected through social inter-networking. Social media contains abundant amount of multifaceted information allowing users to evolve into successful content creators. Henceforth, they also eventually become the web content distributors. So, an online game exists, since only a few features are becoming popular and the other remaining items are not so popular. Prediction of popularity will be highly significant in inter-networking dimensions considering the properties of caching and replication. In this paper, based on the surveys obtained about games’ popularity methods and features that have decent forecasting capacity are utilized to develop an algorithm using support vector classification to predict the popularity of the game.
  • Application of Waning Immunity Index Model using Spiking Neural Networks for COVID-19 Pandemic in the geographic context of India
    Senthil Velan S, Rubini P, Sivaranjani S
    Proceedings of the 2nd IEEE International Conference on Advances in Computing Communication and Applied Informatics Accai 2023, 2023
    Spiking Neural Networks (SNN) are biologically inspired networks working on the principle of communication triggered while crossing of threshold potentials. During the COVID-19 pandemic, immunity has been acquired by the population in a geographical location by infections and immunizations. The Waning Immunity Model (WII) has been used to apply the method of SNNs so that the results of the model provide a better way of understanding its effects. The dataset considered in this research is for a time period of six months during the years of 2021 and 2022 focusing on the geographical location of India. Based on the proposed new model, the spike in the WII index is clearly evident in the first half of the time period under consideration, This model will help the healthcare and governments officials to plan for the booster doses to be administered to the human population for reinvigorating the antibodies effectively fighting the COVID-19 virus.
  • Emotion Detection and Suicidal Intention Prediction of Differently Depressed Individuals Using Machine Learning Techniques
    Shreya Soni, Shruti Chaubey, Suchita Parira, Senthil Velan S
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
    Facial expressions play an important role in conveying emotions, especially in human-machine interaction. Automatic facial expression recognition (FER) systems have numerous potential applications, such as detecting mental disorders, understanding human behavior, and generating synthetic human expressions. However, achieving high recognition rates remains a challenging task. In the literature, two popular approaches for automatic FER are based on geometry and appearance. The FER process typically consists of four stages, namely pre-processing, face detection, feature extraction, and expression classification. In our project, we utilized various deep learning techniques, specifically convolutional neural networks, to detect seven essential human emotions: anger, disgust, fear, happiness, sadness, surprise, and neutrality. Furthermore, our aim was to predict suicidal tendencies based on the detected emotions since depression is the primary cause of suicide. Detecting emotions in depressed individuals could facilitate their monitoring and help prevent suicide risk by forecasting the rate of suicidal intentions based on their emotional state.
  • A Novel Model Using Multiple Bagging Ensemble Method For Measuring, Inferring and Predicting the Quality of Continuous Assessment Question Papers
    Senthil Velan S, Preethika Reddy S, Preethi Bheemshankar Talwar, Gomathi R D
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
    Predictive Machine Learning techniques provide mechanisms for the computing machines to analyze and understand the knowledge inherently embedded in the given dataset. This unique technique can be effectively used in understanding the quality of the question papers compiled for Continuous Assessment Tests (CATs). Understanding the quality of the question papers requires a systematic and software engineering-based approach. In this research work, a few of the CAT question papers have been carefully picked and used for applying the proposed methodology. Well, defined set of features, properties, and quality attributes have been applied in the proposed model and mapped into each other for providing a better understanding of the question paper's quality. Using metrics the analysis of quality for the given CAT paper is attempted. Based on the application of the model, it was able to clearly predict and understand the quality levels of the given set of question papers.
  • Multiple Lung Disease Prediction Using Deep Learning
    Pallamreddy Sai Harshavardhan, Naveen Kumar M, Maraneni Akhil, Senthil Velan S
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
    In today's society, abnormalities in human lungs are fairly frequent, including illnesses such as tuberculosis, edema, pneumonia, and others. Convolutional Neural Network (CNN), Visual Geometry Group (VGG), Densely Connected Network (DenseNet), Residual Neural Network (ResNet) are a few image processing algorithms deployed for lung disease prediction. This study involves developing a multi-classification algorithm for predicting multiple lung diseases using X-ray images. The project employed several Python libraries such as TensorFlow, Keras, and NumPy. The deep learning frameworks used in the project were VGG-16, ResNet-50, and DenseNet-121, and the dataset used was the NIH chest radiographs dataset obtained from the Kaggle repository. The accuracy values of ResNet-50, VGG-16, and DenseNet-121 were found to be 56%, 75%, and 88%, respectively. Preprocessing procedures such as data augmentation, feature selection, and dimensionality reduction are crucial for accurate predictions from X-ray images. Overall, the study aimed to provide accurate and reliable predictions of lung diseases using X-ray images and demonstrated the efficacy of using the specified set of deep learning techniques.
  • A Proposed Approach for Identifying the Connotative Relationship of English Sentences and paragraphs using the NLP package of Python
    Divya Singh, Senthil Velan S, Vijayakumar K
    Proceedings of the 2022 International Conference on Innovative Computing Intelligent Communication and Smart Electrical Systems Icses 2022, 2022
  • A Proposed Quantitative Model for the Computation and Analysis of Waning Immunity for COVID-19 Virus among Human Population
    Senthil Velan. S, Rubini. P, Surbhi Choudhary
    IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2022, 2022
  • Measuring the Quality of Hand and Surface Grinding Images by Applying Image Processing Tools of Scilab Software
    Velan S Senthil, Venkata Reddy Poluru
    Proceedings of 2nd IEEE International Conference on Computational Intelligence and Knowledge Economy Iccike 2021, 2021
  • Statistical comparison of covid-19 infections based upon the food habits/diets in countries using RStudio
    Rohan Ramachandran, Senthil Velan S, Daifa Imtiyaz Wadekar
    Proceedings of the Confluence 2021 11th International Conference on Cloud Computing Data Science and Engineering, 2021
  • Facial Recognition using the OpenCV Libraries of Python for the Pictures of Human Faces Wearing Face Masks during the COVID-19 Pandemic
    Jayanth Vadlapati, S Senthil Velan, Ewin Varghese
    2021 12th International Conference on Computing Communication and Networking Technologies Icccnt 2021, 2021
  • Analysis of Herd Immunity Using Vaccination and Recovery Data Sets
    Aysha Musthak Ahamed, Senthil Velan S, Daifa Imtiyaz Wadekar
    2021 12th International Conference on Computing Communication and Networking Technologies Icccnt 2021, 2021
  • Utilizing Exploratory Data Analysis for the Prediction of Campus Placement for Educational Institutions
    Jumana Nagaria, Senthil Velan S
    2020 11th International Conference on Computing Communication and Networking Technologies Icccnt 2020, 2020
  • Using Exploratory Data Analysis for Generating Inferences on the Correlation of COVID-19 cases
    Joanita DSouza, Senthil Velan S.
    2020 11th International Conference on Computing Communication and Networking Technologies Icccnt 2020, 2020
  • Application of Digital Image Processing Techniques in Determining the Quality of ARC and MIG Welding of Steel Joints
    S Senthil Velan, Venkata Reddy Poluru
    Icrito 2020 IEEE 8th International Conference on Reliability Infocom Technologies and Optimization Trends and Future Directions, 2020
  • Application of Exploratory Data Analysis to Generate Inferences on the Occurrence of Breast Cancer using a Sample Dataset
    Sabeel Ashfaq Khan, S. Senthil Velan
    Proceedings of International Conference on Intelligent Engineering and Management Iciem 2020, 2020
  • Introducing aspect-oriented programming in improving the modularity of middleware for internet of things
    Senthil Velan S.
    2020 Advances in Science and Engineering Technology International Conferences Aset 2020, 2020
  • A Novel Approach for Improving the Workflow Management System in an Extremely Large Scale Enterprise
    Laura Elezabeth, Senthil Velan S
    Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy Iccike 2019, 2019
  • Preventive Maintenance for Fault Detection in Transfer Nodes using Machine Learning
    Joanita Dsouza, Senthil Velan
    Proceedings of 2019 International Conference on Computational Intelligence and Knowledge Economy Iccike 2019, 2019
  • Investigating the Complexity of Computational Intelligence using the Levels of Inheritance in an AOP based Software
    S. Senthil Velan
    2019 Advances in Science and Engineering Technology International Conferences Aset 2019, 2019
  • Introducing Artificial Intelligence Agents to the Empirical Measurement of Design Properties for Aspect Oriented Software Development
    Senthil Velan S.
    Proceedings 2019 Amity International Conference on Artificial Intelligence Aicai 2019, 2019
  • Quantitative Assessment of Inheritance Hierarchies for Aspect Oriented Software Development using a proposed Aspect Inheritance Reusability Model
    Velan S Senthil
    2019 International Conference on Automation Computational and Technology Management Icactm 2019, 2019
  • Empirical evaluation of design level metrics for aspect oriented Business Process Execution Language in SOA
    Senthil Velan S, Sam Jaffray M
    International Journal of Engineering and Technology Uae, 2018
  • Identification and removal of semantic interference during the analysis phase of aspect oriented software development
    S. Senthil Velan, R.V. Sindhu Priya
    Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies Icaccct 2016, 2017
  • Comparison of applying design patterns for functional and non-functional design elements in Java and AspectJ programs
    R Teebiga, S Senthil Velan
    Proceedings of 2016 International Conference on Advanced Communication Control and Computing Technologies Icaccct 2016, 2017
  • A quantitative evaluation of change impact reachability and complexity across versions of aspect oriented software
    International Arab Journal of Information Technology, 2017
  • Identification and removal of semantic interference in AspectJ programs
    G. Barani, S. Senthil Velan, R.V. Sindhu Priya
    International Conference on Electrical Electronics and Optimization Techniques Iceeot 2016, 2016
  • Evaluation of reusability in Aspect Oriented Software using inheritance metrics
    Vinobha A, Senthil Velan S, Chitra Babu
    Proceedings of 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies Icaccct 2014, 2015
  • Design level metrics to measure the complexity across versions of AO software
    Parthipan S, Senthil Velan S, Chitra Babu
    Proceedings of 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies Icaccct 2014, 2015
  • Empirical investigation of introducing Aspect Oriented Programming across versions of an SOA application
    Deepiga A S, Senthil Velan S, Chitra Babu
    Proceedings of 2014 IEEE International Conference on Advanced Communication Control and Computing Technologies Icaccct 2014, 2015
  • Metrics for evolution of aspect oriented software
    International Journal of Applied Engineering Research, 2011

RECENT SCHOLAR PUBLICATIONS

  • DermAI: Automatic Skin Cancer Classification Using Deep Learning
    SVS A. Hadagil, A. V. Bhat, G. K. S
    2026 8th International Conference on Intelligent Sustainable Systems (ICISS … , 2026
    2026
  • Organizational Practices of Dynamic Project Scheduling Using CPM
    C Arumugam, SV Suganantham, S Vaidyanathan
    Deep Learning Applications in Operations Research, 105-121 , 2026
    2026
  • VISIONMORPH - TRANSFORMING TEXT TO VISUAL SKETCHES
    SVS Shalini LU, Shreya SP, Siona Gonsalves
    International Research Journal of Modernization in Engineering Technology … , 2026
    2026
  • Deep learning-based user authentication with hybrid encryption for secured blockchain-aided data storage and optimal task offloading in mobile edge computing
    NSG Ganesh, V Balasubramanian, DVV Prasad, SS Velan
    Wireless Networks 31 (3), 2389-2417 , 2025
    2025
    Citations: 17
  • Automatic Story Telling Machine for Children
    S Velan, SV S, Visalini S, Vidhya S, Diana A
    IN Patent App. 202,441,049,903 , 2025
    2025
  • Detection of Diabetic Retinopathy using the Application of Deep Learning Model
    D Rakshitha, GH Manasa, SS Velan, RD Gomathi
    2024 15th International Conference on Computing Communication and Networking … , 2024
    2024
    Citations: 1
  • Evaluation and Inference of a Proposed, Improved and Efficient W Model for Software Testing
    SS Velan, SS Velan, P Rubini, K Sudhakar
    2024 15th International Conference on Computing Communication and Networking … , 2024
    2024
    Citations: 1
  • Adjustable and Customizable Step Ladder for Humans with different Heights and Capabilities
    NS Gowri Ganesh, S Senthil Velan, V Balasubramanian, ...
    IN Patent App. 202,341,042,258 , 2023
    2023
  • A Visual Mouse: Eye Movement and Voice Assistance based Mouse Control for A Personal Computer
    S Visalini, S Senthil Velan, S Vidhya, CA Bindyashree, A Diana
    IN Patent App. 202,341,042,856 , 2023
    2023
  • An IoT Enabled and Voice Activated Multicolor In-Writing based FlowGel Pen
    S Visalini, S Senthil Velan, S Vidhya, CA Bindyashree, A Diana
    IN Patent App. 202,341,043,842 , 2023
    2023
  • Blind Assist: Walking Assist Utility for the Blind
    S Umme, V Devadarshini, KS Vandana, S Senthil Velan, B Swathi
    IN Patent App. 202,341,044,241 , 2023
    2023
  • Emotion Detection and Suicidal Intention Prediction of Differently Depressed Individuals Using Machine Learning Techniques
    S Soni, S Chaubey, S Parira, S Senthil Velan
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 4
  • A Novel Model Using Multiple Bagging Ensemble Method For Measuring, Inferring and Predicting the Quality of Continuous Assessment Question Papers
    S Senthil Velan, P Reddy, PB Talwar, RD Gomathi
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
  • Multiple Lung Disease Prediction Using Deep Learning
    PS Harshavardhan, N Kumar, M Akhil, S Senthil Velan
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 6
  • Application of Waning Immunity Index Model using Spiking Neural Networks for COVID-19 Pandemic in the geographic context of India
    S Senthil Velan, P Rubini, S Sivaranjani
    2023 International Conference on Advances in Computing, Communication and … , 2023
    2023
  • Application of SVM Classifier to model and analyse the Popularity of Games using Players feedback
    D Singh, S Senthil Velan
    2023 International Conference on Advances in Computing, Communication and … , 2023
    2023
  • Design & Implementation of GSM based Automatic Meter Reading System
    R Srividya, S Senthil Velan, MC Murali
    Journal of Advance Research in Mobile Computing 5 (1), 23-29 , 2023
    2023
  • A Smart Device to capture the Iris Images of Humans and relate to their Intentions and Emotions Using Customized Deep Learning Technique
    S Senthil Velan, L Harish
    IN Patent App. 202,241,051,010 , 2022
    2022
  • A Proposed Approach for Identifying the Connotative Relationship of English Sentences and paragraphs using the NLP package of Python
    D Singh, S Senthil Velan, K Vijayakumar
    2022 International Conference on Innovative Computing, Intelligent … , 2022
    2022
    Citations: 4
  • An Innovative portable Handheld IOT enabled Device for the Identification of Mucormycosis Infected Images considering the symptom severity for the focused Treatment of Patients
    S Senthil Velan, C Sugunadevi, S Sam Gilvine
    IN Patent App. 202,241,041,139 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • A Proposed Quantitative Model for the Computation and Analysis of Waning Immunity for COVID-19 Virus among Human Population
    SS Velan, P Rubini, C Surbhi
    2022 IEEE International Conference on Distributed Computing and Electrical … , 2022
    2022
    Citations: 188
  • Utilizing Exploratory Data Analysis for the Prediction of Campus Placement for Educational Institutions
    J Nagaria, S Velan S
    2020 11th International Conference on Computing, Communication and … , 2020
    2020
    Citations: 35
  • Using Exploratory Data Analysis for Generating Inferences on the Correlation of COVID-19 cases
    J DSouza, S Velan S
    2020 11th International Conference on Computing, Communication and … , 2020
    2020
    Citations: 34
  • Preventive Maintenance for Fault Detection in Transfer Nodes using Machine Learning
    J Dsouza, S Senthil Velan
    2019 International Conference on Computational Intelligence and Knowledge … , 2020
    2020
    Citations: 23
  • Facial Recognition using the OpenCV Libraries of Python for the Pictures of Human Faces Wearing Face Masks during the COVID-19 Pandemic
    J Vadlapati, SS Velan, E Varghese
    2021 12th International Conference on Computing Communication and Networking … , 2021
    2021
    Citations: 21
  • Deep learning-based user authentication with hybrid encryption for secured blockchain-aided data storage and optimal task offloading in mobile edge computing
    NSG Ganesh, V Balasubramanian, DVV Prasad, SS Velan
    Wireless Networks 31 (3), 2389-2417 , 2025
    2025
    Citations: 17
  • Evaluation of reusability in aspect oriented software using inheritance metrics
    A Vinobha, S Senthil Velan, B Chitra
    2014 IEEE International Conference on Advanced Communications, Control and … , 2014
    2014
    Citations: 16
  • Application of Exploratory Data Analysis to Generate Inferences on the Occurrence of Breast Cancer using a Sample Dataset
    SA Khan, S Senthil Velan
    2020 International Conference on Intelligent Engineering and Management … , 2020
    2020
    Citations: 13
  • Design level metrics to measure the complexity across versions of AO software
    S Parthipan, S Senthil Velan, C Babu
    2014 IEEE International Conference on Advanced Communications, Control and … , 2014
    2014
    Citations: 12
  • Quantitative Assessment of Inheritance Hierarchies for Aspect Oriented Software Development using a proposed Aspect Inheritance Reusability Model
    S Senthil Velan
    2019 International Conference on Automation, Computational and Technology … , 2019
    2019
    Citations: 10
  • Introducing Artificial Intelligence Agents to the Empirical Measurement of Design Properties for Aspect Oriented Software Development
    S Senthil Velan
    2019 Amity International Conference on Artificial Intelligence (AICAI), 80-85 , 2019
    2019
    Citations: 9
  • A Quantitative Evaluation of Change Impact Reachability and Complexity across Versions of Aspect Oriented Software
    S Senthil Velan, C Babu, M Raju
    International Arab Journal of Information Technology 14 (1), 41 - 52 , 2017
    2017
    Citations: 9
  • Empirical investigation of introducing Aspect Oriented Programming across versions of an SOA application
    AS Deepiga, S Senthil Velan, Chitra Babu
    Advanced Communication Control and Computing Technologies (ICACCCT), 2014 … , 2014
    2014
    Citations: 7
  • Multiple Lung Disease Prediction Using Deep Learning
    PS Harshavardhan, N Kumar, M Akhil, S Senthil Velan
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 6
  • Statistical Comparison of COVID-19 Infections Based Upon the Food Habits/Diets in Countries Using RStudio
    R Ramachandran, S Velan S, DI Wadekar
    2021 11th International Conference on Cloud Computing, Data Science … , 2021
    2021
    Citations: 6
  • Emotion Detection and Suicidal Intention Prediction of Differently Depressed Individuals Using Machine Learning Techniques
    S Soni, S Chaubey, S Parira, S Senthil Velan
    2023 14th International Conference on Computing Communication and Networking … , 2023
    2023
    Citations: 4
  • A Proposed Approach for Identifying the Connotative Relationship of English Sentences and paragraphs using the NLP package of Python
    D Singh, S Senthil Velan, K Vijayakumar
    2022 International Conference on Innovative Computing, Intelligent … , 2022
    2022
    Citations: 4
  • Introducing Aspect-Oriented Programming in Improving the Modularity of Middleware for Internet of Things
    S Velan S
    2020 Advances in Science and Engineering Technology International … , 2020
    2020
    Citations: 4
  • Investigating the Complexity of Computational Intelligence using the Levels of Inheritance in an AOP based Software
    S Senthil Velan
    2019 Advances in Science and Engineering Technology International … , 2019
    2019
    Citations: 3
  • Comparison of Applying Design Patterns for Functional and Non-functional Design Elements in Java and AspectJ Programs
    R Teebiga, S Senthil Velan
    2016 International Conference on Advanced Communication Control and … , 2016
    2016
    Citations: 3