Items where Division is "Information Technology" and Year is 2023

Group by: VELS Creators | Item Type | No Grouping
Number of items: 21.

Article

Nandhini, A. Usha and Dharmarajan, K. (2023) Random forest and genetic algorithm united with hyperparameter for diabetes prediction by using WBSMOTE, wrapper approach. International Journal of System of Systems Engineering, 13 (2). pp. 207-227. ISSN 1748-0671

Preethi, I. and Dharmarajan, K. (2023) A hybrid wrapper approach for optimal feature selection based on a novel multiobjective technique. International Journal of System of Systems Engineering, 13 (3). pp. 284-305. ISSN 1748-0671

Saroja, T. and Kalpana, Y. (2023) Hybrid missing data imputation and novel weight convolution neural network classifier for chronic kidney disease diagnosis. Measurement: Sensors, 27. p. 100715. ISSN 26659174

Shanthi, D. and Shinde, Swati and Renjith, P. N. and Nath, Srigitha. S. and Thilakavathy, P. and Suneetha, Vemuri (2023) RETRACTED ARTICLE: A study of deep learning techniques for predicting breast cancer types. Soft Computing. ISSN 1432-7643

Sundaram, Srinidhi and Kamalakkannan, S. and Jayaraman, Sasikala (2023) Seagull optimization-based near-duplicate image detection in large image databases. The Imaging Science Journal, 71 (7). pp. 647-659. ISSN 1368-2199

Book Section

Jayakrishnan, R. and Sridevi, S. (2023) A Comparative Study of Gene Expression Data-Based Intelligent Methods for Cancer Subtype Detection. In: A Comparative Study of Gene Expression Data-Based Intelligent Methods for Cancer Subtype Detection. Springer, pp. 457-467.

Poongodi, C. and Sayeekumar, M. and Meenakshi, C. and Hari Prasath, K. (2023) Opportunities: Machine Learning for Industrial IoT Applications. In: Integration of Mechanical and Manufacturing Engineering with IoT. Wiley, pp. 159-189. ISBN 9781119865391

Conference or Workshop Item

G, Lakshmi. and Sujatha, P. (2023) Assessment of Classification Techniques for Heart Disease Prediction. In: 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), Chennai, India.

Jagadeesan, Sowmya and Sameer, Sameer and Singh, Devender and Ojha, Ritika and Ibrahim, Read Khalid and Alazzam, Malik Bader (2023) Implementation of an Artificial Intelligence with Cyber Security in E-Learning-Based Education Management System. In: 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), Dubai, United Arab Emirates.

Johri, Shiva and Divyajyothi, M. G and Anitha, S and Rani, M.Sandya and Murari, Thejovathi and Shirisha, N (2023) A Novel Deep Learning Approach for Capturing Time Series Dependencies and Improving Short-term Weather Forecasting. In: 2023 Seventh International Conference on Image Information Processing (ICIIP), Solan, India.

Kalaivani, M. and Abirami, K. and Dharmarajan, K. (2023) An Early Stage Determination of Colon Cancer Through Deep Neural Network. In: 2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), Raipur, India.

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.

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.

Mahalakshmi, K. and Sujatha, P. (2023) The Role of Exploratory Data Analysis and Pre-processing in the Machine Learning Predictive Model for Heart Disease. In: 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

N, Sivasankari and S, Kamalakannan (2023) Fuzzy Logic-based Man-in-the-Middle Attack Detection and Improving Routing Efficiency in the IoT Network. In: 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), Dharwad, India.

Punithavathi, S. and Jeyalaksshmi, S. (2023) Privacy Preserving Q-Pragmatic-Sensitive Feature Analysis based Blockchain Security Using Provable Partition Fold Padding Encryption. In: 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India.

Sakthivanitha, M. and Lakshmi, R.Bagavathi and Chitra, A and Priscila, S.Silvia (2023) Detection of Animal Hunters in Forest Using Regional Convolutional Neural Network Algorithm. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Sujatha, R. and Helen, D. and Hemamalini, U. and Divya, V. and Priya Dharshini, A. (2023) Gastrointestinal disease prediction using transfer learning. In: International Conference on Computer Vision and Internet of Things 2023 (ICCVIoT'23), 7-8 December 2023, Coimbatore, India.

Sundaram, Srinidhi and Somasundaram, Kamalakkannan and Jothilakshmi, S. and Jayaraman, Sasikala and Dhanalakshmi, P. (2023) Modelling of Firefly Algorithm with Densely Connected Networks for Near-Duplicate Image Detection System. In: 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), Theni, India.

Suresh, K. S. and Kamalakannan, T. (2023) Circumvolution of Centre Pixel Algorithm in Pixel Value Differencing Steganography Model in the Spatial Domain. In: 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India.

Surya, V. and Shanthi, C. (2023) Cross Model Verification of Intrusion Detection System on IoT Using Convolutional Neural Network. In: 2023 IEEE International Conference on ICT in Business Industry & Government (ICTBIG), Indore, India.

This list was generated on Wed Mar 12 16:47:55 2025 IST.