Items where Subject is "Database Management System"

A

Ahmed, N.Zafer and Durga, R. (2021) A Trust Aware Behavioral Based Intrusion Detection in Cloud Environment Using Ensemble Service Centric Featured Neural Network. In: 2021 4th International Conference on Computing and Communications Technologies (ICCCT), Chennai, India.

Akila, A and Akila, Ganesh Connected Speech Recognition System Supported Syllable based Speech Recognition System. Connected Speech Recognition System Supported Syllable based Speech Recognition System.

Akila, Dr.A. and Sangita, Babu and Thirumurthi Raja, A. Detection of a Mentally Challenged Person from their Expressions. Detection of a Mentally Challenged Person from their Expressions.

Anand, Deva and Gowr, P. Sheela and Logesh, S. and Anand, S. M. (2023) Deep Learning-Based Alzheimer's Disease Classification using Transfer Learning and Data Augmentation. In: 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India.

Anandan, R. and Gopalakrishnan, Suseendran and Pal, Souvik and Zaman, Noor (2022) Front Matter: Intelligent Analytics for Predictive Maintenance. In: The Industrial Internet of Things (IIoT). Wiley. ISBN 9781119769026

Angel Cerli1, A. and Kalaiselvi, K. Energy Efficient Cross- Layer (EECL) Approach for WBAN using Hybrid Protocol. Energy Efficient Cross- Layer (EECL) Approach for WBAN using Hybrid Protocol.

Anitha, R. and Prabakaran, P. (2023) Vehicle Detection and Classification based on C-DSO Dataset using YOLO v3 with SRBD Method for Intelligent Transportation Applications. In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

Anusuya, S. and Sharmila, K. (2021) K-Means Food Object Clustering and Feature Detection using MSERF and SURF Region Points. In: 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), MORADABAD, India.

Arunarani,, S. and Gobinath, R (2019) An Efficient Method for Extracting the Necessary Features in a Multimodal Biometrics. International Journal of Recent Technology and Engineering, 8 (2S4). pp. 1002-1006. ISSN 2277-3878

B

BALAJI, G N and Subashini, T S and Madhavi, P and Bhavani, C H and Manikandarajan, A Computer-Aided Detection and Diagnosis of Diaphyseal Femur Fracture. Computer-Aided Detection and Diagnosis of Diaphyseal Femur Fracture.

Banushri, A. and Karthika, R.A. (2023) Hyperledger Blockchain and Lightweight Bcrypt Symmetric Key Encryption to Boost Cloud Computing Security Effectiveness. In: 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India.

Barani, S. Sengamala and Durga, R. (2023) Novel Empirical Block Chain Ecosystem with Deep Neural Key Exchange Technique. In: 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India.

Bhaskara Rao, G. and Parthiban, A. (2023) Study on cold room enhancements for commercial applications -Review. Materials Today: Proceedings, 80. pp. 2505-2512. ISSN 22147853

Bhattacharjee, Shiladitya and Rahim, Lukman Bin Ab. and Ramadhani, Ade Wahyu and Midhun, chakkaravarthy and Midhunchakkravarthy, Divya (2020) A Study on Seismic Big Data Handling at Seismic Exploration Industry. In: A Study on Seismic Big Data Handling at Seismic Exploration Industry. Springer, pp. 421-429.

Bhuvana, M. and Thirumagal, P. G. and Vasantha, S. (2016) Big Data Analytics - A Leveraging Technology for Indian Commercial Banks. Indian Journal of Science and Technology, 9 (32). ISSN 0974-6846

Bhuvaneswari, D. and Akila, A. (2019) An Energy Efficient Management in Various Fog Platforms. In: 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India.

Bodapati, Srihari and Akila, A. (2019) Exploration of Various Cloud Segments Transference and Convenience for Cloud Computing. In: International Conference on Computer Networks and Communication Technologies ICCNCT 2018. Springer, pp. 749-754.

C

Chitra, K. and Shanthi, C. (2021) A Comparative Study of Classification Models for Predicting Monotonous Driver Drowsiness. In: 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), MORADABAD, India.

D

D. Fernandez Raj, D and Ganeshkumar, Gunasekaran and Swaraj, Paul and R.Anandan, R Query Builder with Horizontal Aggregations in Data Mining for Big Data Analysis. Query Builder with Horizontal Aggregations in Data Mining for Big Data Analysis.

Deepa, M. and Akila, D. (2021) Cost-Effective Anomaly Detection for Blockchain Transactions Using Unsupervised Learning. In: Cost-Effective Anomaly Detection for Blockchain Transactions Using Unsupervised Learning. Springer, pp. 445-453.

Deepasundari, K. and Raja, A. Thirumurthi (2023) Segmentation of Attributes of the Skin Lesion Using Deep Ensemble Models. In: Segmentation of Attributes of the Skin Lesion Using Deep Ensemble Models. Springer, pp. 313-323.

Deepika, M. and Kalaiselvi, K. (2021) Machine Learning–Based Data Analysis. In: Machine Learning Approach for Cloud Data Analytics in IoT. Wiley, pp. 1-24. ISBN 9781119785873

Devi, G. Dharani and Kamalakannan, S. (2023) Sentimental Analysis (SA) of Employee Job Satisfaction from Twitter Message Using Flair Pytorch (FP) Method. In: Sentimental Analysis (SA) of Employee Job Satisfaction from Twitter Message Using Flair Pytorch (FP) Method. Springer, pp. 367-380.

Devi, G. Dharani and Kamalakkannan, S. (2022) Prediction of Job Satisfaction from the Employee Using Ensemble Method. In: 2022 International Conference on Advanced Computing Technologies and Applications (ICACTA), Coimbatore, India.

Devi, P. Bhargavi and Sharmila, K. (2021) Anatomizing Hybrid Biometric Modality to Identify Tissue Loss and Pitted Keratolysis using BOPVIC Algorithm in Humans. In: 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), MORADABAD, India.

Devi, R. and Sujatha, P. (2017) A study on biometric and multi-modal biometric system modules, applications, techniques and challenges. In: 2017 Conference on Emerging Devices and Smart Systems (ICEDSS), Mallasamudram, Tiruchengode, India.

Divya, R. and Gobinath, Gobinath (2019) Two Fish Cryptography for Data Security in Network Communication. International Journal of Recent Technology and Engineering, 8 (2S4). pp. 986-989. ISSN 2277-3878

G

G, BharaniDharan. and S, Jayalakshmi. (2021) Energy Efficient Next-Gen of Virtualization for Cloud-native Applications in Modern Data Centres. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). pp. 203-210.

Ganapathy, Revathy and D, Lingeshwaran and SuthanthiraDevi, P. and M V, Harish Kumar (2023) CNN-LSTM: Development of Offline Signature Authentication. In: 2023 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India.

Gupta, Abhishek and Sahayadhas, Arun (2021) Proposed Techniques to Optimize the DW and ETL Query for Enhancing data warehouse efficiency. 2020 5th International Conference on Computing, Communication and Security (ICCCS). pp. 1-5.

H

Hemanth Krishna, J and Saritha Arumugam, Arumugam and Kalaivani, K and Ulagapriya, K. Integration of crime andcomplaint reporting and effective data sharing in remote cloud storage with multi user access. Integration of crime andcomplaint reporting and effective data sharing in remote cloud storage with multi user access.

J

Jagdish, Mukta (2021) Advance synthetic aperture radar images for characterization of oil spills disaster in ocean using Daubechies analysis. Journal of Physics: Conference Series, 1432 (1). 012069. ISSN 1742-6588

Jani Anbarasi, L and Prassanna, J and Abdul Quadir, JD and Christy Jackson, R (2021) VISUAL SECRET SHARING: A REVIEW. Journal of critical reviews, 7 (09). ISSN 23945125

Jayakumar, Mr. S. and Parameswari*, Dr. R. and Akila, Dr.A. (2019) Enhancing the Quality Education using Predictive and Descriptive Data Mining Model. International Journal of Recent Technology and Engineering (IJRTE), 8 (3). pp. 6843-6847. ISSN 22773878

Jayalakshmi, S. and Sheshasaayee, Ananthi (2017) Automated question answering system using ontology and semantic role. In: 2017 International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bengaluru, India.

Jayashree*, G. and Priya, Dr. C. (2019) Design of Visibility for Order Lifecycle using Datawarehouse. International Journal of Engineering and Advanced Technology, 8 (6). pp. 4700-4707. ISSN 22498958

Jeyaseeli, J. Annies Mary and Shanthi, C. (2023) S-ROID, An Efficient Methodology to Extract Deleted Data from Android. In: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Jothilakshmi, G. R. and Sharmila, P. and Raaza, Arun (2016) Mammogram Segmentation using Region based Method with Split and Merge Technique. Indian Journal of Science and Technology, 9 (40). ISSN 0974-6846

K

K, Sheela. and Priya, C. (2021) Enabling the efficiency of Blockchain Technology in Tele-Healthcare with Enhanced EMR. 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA). pp. 1-6.

K.V, Siva Prasad Reddy and K.S, Archana (2023) Basal Cell Carcinoma Prediction in Pigmented Skin Infection using Intelligent Techniques. In: 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India.

Kalaiselvi, K. and Karunya, S (2019) Understanding Special Education Teachers’ Perspectives on Professionalism in Educating Autistic Students. International Journal of Recent Technology and Engineering, 8 (2S3). pp. 431-435. ISSN 2277-3878

Kalaivany, S and Nalini, Chidambaram Schmidt-samoa public key encryption based on enhanced boosting algorithm for secure cloud data confidentiality. Schmidt-samoa public key encryption based on enhanced boosting algorithm for secure cloud data confidentiality.

Kamalakannan, T. and Mayilvaghnan, P. (2017) Optimal customer relationship management in telecalling industry by using data mining and business intelligence. International Journal of Engineering & Technology, 7 (1.1). p. 12. ISSN 2227-524X

Kamalakkannan, S. and Yasmin, A. and R, Arunkumar. and Kavitha, P. (2023) A Model for the Analytical Performance of Data Lake in Stock Market Analysis with Databricks Delta Lake. In: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), Erode, India.

Kanimozhi, B. and Thamizhmani, Vivek and Pranesh, Venkat and Senthil, S. and Arun Selvakumar, T. (2019) Kaolinite fines colloidal flow in high temperature porous carbonate media during saline water injection. Journal of Petroleum Science and Engineering, 175. pp. 775-784. ISSN 09204105

Karthiga, R.S. and Senthil Kumar, Janahan and Anbazhagu, U.V. (2019) Research on Various Tools in Big Data. International Journal of Innovative Technology and Exploring Engineering, 8 (6S4). pp. 1097-1100. ISSN 2278-3075

Kiruthiga, C. and Dharmarajan, K. (2023) Machine Learning in Soil Borne Diseases, Soil Data Analysis & Crop Yielding: A Review. In: 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bengaluru, India.

Krithika, M. and Akila, A. (2023) Optimal Selection of Cloud Service Provider Using MCDM Approach. In: Optimal Selection of Cloud Service Provider Using MCDM Approach. Springer, pp. 461-470.

L

Lakshmi, A. and Devi, R. (2023) Heart Disease Prediction Model using Genetic Algorithm and Support Vector Machine. In: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Lavanya, B. and Shanthi, C. (2023) Malicious Software Detection based on URL-API Intensity Feature Selection Using Deep Spectral Neural Classification for Improving Host Security. International Journal of Computational Intelligence and Applications, 22 (02). ISSN 1469-0268

Lavanya, K. and Archana, K. S. (2023) Smart Home Based on IoT by Using Machine Learning. In: Smart Home Based on IoT by Using Machine Learning. IEEE, pp. 73-81.

M

M, Lavanya and S, Mangayarkarasi (2023) Cybersecurity Threat Detection in Financial Institution Using AI BasedRisk Assessment. In: 2023 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India.

Manibhai, Thakar Hitesh and Kumar, Mohit and Jeyalaksshmi, S. and Abdullah, abdullah and Panda, Sakti Charan and Pal, Souvik (2023) Practices of machine learning in classification of nanomaterial. In: ETLTC-ICETM2023 INTERNATIONAL CONFERENCE PROCEEDINGS: ICT Integration in Technical Education & Entertainment Technologies and Management, 24–27 January 2023, Aizuwakamatsu, Japan.

Meenakshi, J. and Thailambal, G. (2023) Gender and Age Detection Techniques for Blind People using Principal Component Analysis. In: 2023 International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal.

Mi, Yu and Kyungja, Kang (2016) The Factors Affecting Nursing Students’ Career Preparation Behavior: Focusing on Participation in a Self-Leadership Program. Indian Journal of Science and Technology, 9 (25). ISSN 0974-6846

Mounika, Padire and Jaya, T. and Ebenezer Abishek, B. (2023) Design and Analysis of the Radiation Characteristics of a Microstrip Antenna Array Resonating at 28 GHz for Satellite Applications. In: Design and Analysis of the Radiation Characteristics of a Microstrip Antenna Array Resonating at 28 GHz for Satellite Applications. Springer, pp. 473-482.

N

Naidu, J.N.S.S Janardhana and Ganesh, E.N (2023) An Adaptive Blockchain based Three-Tier Architecture in Fog based IoT for Personal Healthcare Data Application. International Journal on Recent and Innovation Trends in Computing and Communication, 11 (6). pp. 476-483. ISSN 2321-8169

Nair, Resmi G. and Narayanan, Kumar (2023) Cooperative spectrum sensing in cognitive radio networks using machine learning techniques. Applied Nanoscience, 13 (3). pp. 2353-2363. ISSN 2190-5509

Nayyar, Anand and Puri, Vikram and Suseendran, G. (2019) Artificial Bee Colony Optimization—Population-Based Meta-Heuristic Swarm Intelligence Technique. In: Data Management, Analytics and Innovation. Springer Link, pp. 513-525.

P

Padmini, B and Kalpana, Y (2023) Early detection of DR with an Effective Optimal Stochastic Deep Network in fundus images using the Monte Carlo Method. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Panneerselvam, Tamilselvi (2020) A Detailed Review on Different Encryption Standards on Improved Cloud Data Security. Journal of Advanced Research in Dynamical and Control Systems, 24 (4). pp. 159-166. ISSN 1943023X

Poovarasi, J.S.T.M. and Sujatha, Srinivasan and Suseendran, G. (2020) HYBRID REDUCTION ALGORITHM WITH CAT SWARM OPTIMIZATION FOR CHURN PREDICTION. Journal of critical reviews, 7 (07). ISSN 23945125

Pottluarai, Bhargavi Devi and Kasinathan, Sharmila (2022) Thinning Algorithms Analysis Minutiae Extraction with Terminations and Bifurcation Extraction from the Single-Pixeled Thinned Biometric Image. Instrumentation Mesure Métrologie, 21 (6). pp. 225-230. ISSN 16314670

Prabakaran, P. and Shalini, R. and Hariharan, N and Marieswari, S. and Kumar, Kallakunta Ravi and Apoorva, Maturi Gayatri Lakshmi (2023) Improving Energy Efficiency using Colliding Bodies Optimization based Routing Protocol for Wireless Sensor Networks. In: 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India.

Prathima, S. and Priya, C. (2020) Privacy Preserving and Security Management in Cloud-Based Electronic Health Records—A Survey. In: Privacy Preserving and Security Management in Cloud-Based Electronic Health Records—A Survey. Springer, pp. 21-29.

Prema, A. (2019) A Study to Renovate Image Data Using Data Analytics Methodologies. In: Recent Advances in Computational Intelligence. Springer Link, pp. 163-171.

Priyanga, P. and Pattankar, Veena V. and Sridevi, S. (2021) A hybrid recurrent neural network ‐ logistic chaos‐based whale optimization framework for heart disease prediction with electronic health records. Computational Intelligence, 37 (1). pp. 315-343. ISSN 0824-7935

R

Radha, S. and Jeyalaksshmi, S. (2023) Gradient Kernelized Cat Boost Pre-Emptive Traffic Aware Data Distribution in Cloud Computing. In: 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India.

Radhika, P. and Kamalakkannan, S. and Kavitha, P. (2023) Review of DDoS Attack Detection in Big Data with Cloud using Machine Learning. In: 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.

Rahamath Sulthana, H. and Jenifer, Lawrence Customer retention strategies in shopping malls of chennai - An exploratory study. Customer retention strategies in shopping malls of chennai - An exploratory study.

Rajan, R. Bharathi and Jayamala, C. and Vijayalakshmi, V. and Lakshmi, R. (2019) Managing Technology and Innovation among Entrepreneurs in Tamil Nadu. Indian Journal of Public Health Research & Development, 10 (6). p. 11. ISSN 0976-0245

Rajesh, P. and Suseendran, G. (2021) Analysis of E-learner’s Opinion Using Automated Sentiment Analysis in E-learning and Comparison with Naive Bayes Classification, Random Forest and K-Nearest Neighbour Algorithms. In: E-learning becomes an online learning network that is more efficient and popular. Recognition of the views of the Commission’s e-learning users is also significant. E-learning is commonly referred to as instructional efforts transmitted to communicate inf. Springer, pp. 265-277.

Ramkumar, S. and Emayavaramban, G. and Macklin Abraham Navamani, J. and Renuga Devi, R. and Prema, A. and Booba, B. and Sriramakrishnan, P. (2019) Human Computer Interface for Neurodegenerative Patients Using Machine Learning Algorithms. In: Advances in Computerized Analysis in Clinical and Medical Imaging. Chapman and Hall/CRC, pp. 51-66. ISBN 9780429446030

Ranjani, R. and Priya, R. (2023) Restoration and Enhancement of COVID-19 Variants Using CT Images. In: Restoration and Enhancement of COVID-19 Variants Using CT Images. Springer, pp. 485-497.

Rathna, R. and Anbazhagu, U. V. and Mary Gladence, L. and Anu, V. Maria and Sybi Cynthia, J. (2021) An Intelligent Monitoring System for Water Quality Management using Internet of Things. In: 2021 8th International Conference on Smart Computing and Communications (ICSCC), Kochi, Kerala, India.

Renuga Devi, R. and Suresh, B. (2023) An empirical study to examine the student activity analysis components of technology using an extended multi-labeled gradient boosting methodology. Materials Today: Proceedings, 81. pp. 620-624. ISSN 22147853

Renuga Devi, R. and Vishwa Priya, V. (2021) WITHDRAWN: Multicollinear gradient catboost classification for enhance the preterm neonatal apnea level classification in medical data. Materials Today: Proceedings. ISSN 22147853

Revathi, A. and Sumathi, P. (2020) Discovering the Androgen Transition and Prognostic Cardiovascular Disease by Hybrid Techniques in Data Mining. In: Discovering the Androgen Transition and Prognostic Cardiovascular Disease by Hybrid Techniques in Data Mining. Springer, pp. 571-579.

Rohini, K. and Suseendran, G. (2016) Aggregated K Means Clustering and Decision Tree Algorithm for Spirometry Data. Indian Journal of Science and Technology, 9 (44). ISSN 0974-6846

S

S, Akila and S, Prasanna (2023) Early Detection of COVID-19 in Patients with Comorbidities using a Novel Deep Learning Model. International Journal of Engineering Trends and Technology, 71 (6). pp. 358-368. ISSN 22315381

Sadeq, Muhammad Jafar and Kabir, S. Rayhan and Haque, Rafita and Ferdaws, Jannatul and Akhtaruzzaman, Md. and Forhat, Rokeya and Allayear, Shaikh Muhammad (2021) A Cloud of Things (CoT) Approach for Monitoring Product Purchase and Price Hike. Green Technology to Assess and Measure Energy Efficiency of Data Center in Cloud Computing. pp. 359-368.

Sandhiya, S. and Kalpana, Y. (2019) An Early Infected Lung Identification and Verification Module Using Neural Classifier. Indian Journal of Public Health Research & Development, 10 (3). p. 212. ISSN 0976-0245

Saradha, S and Sujatha, P (2019) Gestational Diabetes Diagnosis with MSVM, MJ48 Classifier Models. International Journal of Recent Technology and Engineering, 8 (2S11). pp. 244-248. ISSN 2277-3878

Sasikala, S. and Sharmila, K. (2021) Analysis of Muscle - Vein Thickening by Valine Amino Acid using Correlative Feature Extraction and Decision Tree Methods. In: 2021 10th International Conference on System Modeling & Advancement in Research Trends (SMART), MORADABAD, India.

Sasikumar, P. and Kalaivani, K (2023) Real-Time Big Data Analytics for Live Streaming Video Quality Assessment Using Deep Learning. In: 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Senthil, D. and Suseendran, G. (2020) Sequence Mining-Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification. In: Sequence Mining-Based Support Vector Machine with Decision Tree Approach for Efficient Time Series Data Classification. Springer, pp. 3-17.

Senthilarasi, S. and Kamalakkannan, S. (2023) Deep learning: Spatial-Temporal road traffic data congestion using Agglomerative Clustering. In: 2023 9th International Conference on Electrical Energy Systems (ICEES), Chennai, India.

Shaik Mazhar, S. A. and Akila, D. (2023) Machine Learning and Sensor Roles for Improving Livestock Farming Using Big Data. In: A multi-user peer-to-peer relay network with a multi-channel system was examined for relay beam design. MU-MIMO solves the challenge of limiting the maximum power consumption per relay while maintaining minimal SNR. It has the potential to change the way. Springer, pp. 181-190.

Shaik Mazhar, S. A. and Suseendran, G. (2021) Precision Pig Farming Image Analysis Using Random Forest and Boruta Predictive Big Data Analysis Using Neural Network and K- Nearest Neighbor. 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM). pp. 260-264. ISSN 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM)

Shalini, R. and Mishra, Laxmi and S, Athulya and Chimankar, Abhijeet Gajanan and Kandavalli, Sunanda Ratna. and K, Keshav Kumar and Selvan, R. Senthamil (2023) Tumor Infiltration of Microrobot using Magnetic torque and AI Technique. In: 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), Vellore, India.

Sharmila, K. and Shanthi, C. and Devi, R. and Kannan, T. Kamala (2019) A Comprehensive Study on Novel Hybrid Approach for Decision Support System in Disease Diagnosis. Indian Journal of Public Health Research & Development, 10 (3). p. 200. ISSN 0976-0245

Sharmila, K. and Vetha Manickam, S. A. (2016) Diagnosing Diabetic Dataset using Hadoop and K-means Clustering Techniques. Indian Journal of Science and Technology, 9 (40). ISSN 0974-6846

Sharmilaa, G. and Ilango, T. (2022) A review on influence of age of vehicle and vehicle traffic on air pollution dispersion. Materials Today: Proceedings, 60. pp. 1629-1632. ISSN 22147853

Singh, Bhopendra and Suman Rajest, S. and Praghash, K. and Uppalapati, y and Regin, Srilakshmi R. (2021) Nuclear structure of some even and odd nuclei using shell model calculations. Nuclear Structure of Some Even and Odd Nuclei Using Shell Model Calculations. 030002.

Sivakumar, S. and Kamalakannan, T. (2023) Performance-Based Analysis of K-Medoids and K-Means Algorithms for the Diagnosis and Prediction of Oral Cancer. In: Performance-Based Analysis of K-Medoids and K-Means Algorithms for the Diagnosis and Prediction of Oral Cancer. Springer, pp. 215-226.

Soji, Edwin Shalom and Kamalakannan, T. (2023) Indian Sign Language Recognition Using Surf Feature Extraction and MDAE for Patient Disability Discussion. In: Indian Sign Language Recognition Using Surf Feature Extraction and MDAE for Patient Disability Discussion. Springer, pp. 445-459.

Solomon Doss, J. Kingsleen and Kamalakkannan, S. (2021) IoT System Accomplishment using BlockChain in Validating and Data Security with Cloud. 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). pp. 60-64.

Solomon Doss, Kingsleen and Kamalakkannan, Somasundaram (2022) Hybrid optimization‐based privacy preservation of database publishing in cloud environment. Concurrency and Computation: Practice and Experience, 34 (11). ISSN 1532-0626

Somasundaram, S. and Gobinath, R. (2019) Early Brain Tumour Prediction using an Enhancement Feature Extraction Technique and Deep Neural Networks. International Journal of Innovative Technology and Exploring Engineering, 8 (10S). pp. 170-174. ISSN 2278-3075

Srinivasan, Sujatha and Muruganandam, S. (2020) Automatic Pruning of Rules Through Multi-objective Optimization—A Case Study with a Multi-objective Cultural Algorithm. In: Automatic Pruning of Rules Through Multi-objective Optimization—A Case Study with a Multi-objective Cultural Algorithm. Springer, pp. 117-125.

Sudharsan, M. and Thailambal, G. (2023) Alzheimer's disease prediction using machine learning techniques and principal component analysis (PCA). Materials Today: Proceedings, 81. pp. 182-190. ISSN 22147853

Sujatha, J. and Rajagopalan, S P Performance evaluation of machine learning algorithms in the classification of parkinson disease using voice attributes. Performance evaluation of machine learning algorithms in the classification of parkinson disease using voice attributes.

T

Thailambal, Rajagopalan and M. Vidhyasree, M. Classification model based prediction of kidney diseases using neural network algorithm. Classification model based prediction of kidney diseases using neural network algorithm.

U

Umapathy, Snekhalatha and Murugappan, Murugappan and Bharathi, Deepa and Thakur, Mahima (2023) Automated Computer-Aided Detection and Classification of Intracranial Hemorrhage Using Ensemble Deep Learning Techniques. Diagnostics, 13 (18). p. 2987. ISSN 2075-4418

V

V, Uma Maheswari and R, Priya (2023) Analysis of Offensive Data over Multi-Source Social Media Environment Using Modified Random Forest Algorithm. International Journal of Electronics and Communication Engineering, 10 (9). pp. 63-71. ISSN 23488549

Vahini Ezhilraman, S. and Srinivasan, Sujatha and Suseendran, G. (2020) Gaussian Light Gradient Boost Ensemble Decision Tree Classifier for Breast Cancer Detection. In: Gaussian Light Gradient Boost Ensemble Decision Tree Classifier for Breast Cancer Detection. Springer, pp. 31-38.

Vanitha Carmel, V. and .Akila, D (2020) A SURVEY ON BIOMETRIC AUTHENTICATION SYSTEMS IN CLOUD TO COMBAT IDENTITY THEFT. Journal of critical reviews, 7 (03). ISSN 23945125

Vidhya, A. and Parameswari, R. (2019) A Comparative Analysis of Neurological Disorder: Brain Tumor Segmentation Using Big Data Analytic Techniques. In: 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), Faridabad, India.

Vidhyalakshmi, A. and Priya, C. (2023) A Detailed Review of IoT with Various Applications Using Recent Research Directions: Technological Advances and New Applications. In: Internet of Things. Apple Academic Press, New York, pp. 331-356. ISBN 9781003304609

Vidhyalakshmi, A. and Priya, C. (2021) Image Enhancement of Metastasis And Acrometastasis Images Using Clahe With Weiner Filter. 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA). pp. 1-8.

Vidya, M. and Gobinath, Ramar Implementation of MANET models with mobile application to prevent obstacles in urban traffic areas. Implementation of MANET models with mobile application to prevent obstacles in urban traffic areas.

Vigneshwari, K. and Kalaiselvi, K. (2020) Review of Parallel Processing Methods for Big Image Data Applications. In: Review of Parallel Processing Methods for Big Image Data Applications. Springer, pp. 105-116.

Vijayalakshmi, A. and Sumalatha, V. (2023) Classifying the Status of CKD Using Randomized Weighted Optimization Model Using Machine Learning Techniques. In: 2023 International Conference on Computer Communication and Informatics (ICCCI), Coimbatore, India.

Vinothini, A and Parameswari, R A novel approach for data encryption and decryption using feal algorithm in healthcare environment. A novel approach for data encryption and decryption using feal algorithm in healthcare environment.

Y

Yasmin, A. and Kamalakkannan, S. (2023) Analytical Performance in Data Lake Storage of Big Data Analytics by Databricks Delta Lake for Stock Market Analysis. In: Analytical Performance in Data Lake Storage of Big Data Analytics by Databricks Delta Lake for Stock Market Analysis. Springer, pp. 213-226.