Items where Author is "Priscila, S. Silvia"

Article

Premakumari William, Malini and Priscila, S. Silvia and Kiruba, S. Briskline and Nisha Dayana, T R and Velavan, P (2024) A Comprehensive Comparison of Adaboost, Lightgbm, and Catboost for Alzheimer’s Disease Classification. FMDB Transactions on Sustainable Health Science Letters, 2 (3). pp. 175-187. ISSN 29936896

Raja, A. S. Vignesh and Jasper, K. Daniel and Poornima, V. and Priscila, S. Silvia and Thenmozhi, A. and Ratkovic, Nada (2024) Tech Horizons Unveiled: Navigating the Transformative Decade in AIML, Cybersecurity, IoT, Gaming, and Data Science Education. FMDB Transactions on Sustainable Intelligent Networks, 1 (2). pp. 120-134. ISSN 29988810

Book Section

Ilyas, F. Mohamed and Priscila, S. Silvia and Poornima, V. and Christodoss, Prasanna Ranjith and Hanirex, D. Kerana and Elayaraja, C. and Sakthivanitha, M. and Christus, A. T. Ashmi (2025) A Study on the Clustering Techniques and Performance Evaluation:. In: Machine Learning, Predictive Analytics, and Optimization in Complex Systems. IGI Global, pp. 23-40. ISBN 9798337352053

Manikandan, N. and Gnanaguru, Gnaneswari and Viswapriya, V. and Priscila, S. Silvia and Christodoss, Prasanna Ranjith and Saranya, S. (2025) BERT-Based Deep Learning Models for Analyzing Sentiments of COVID-19-Related Social Media Tweets:. In: BERT-Based Deep Learning Models for Analyzing Sentiments of COVID-19-Related Social Media Tweets. IGI Global Scientific Publishing, pp. 21-36.

Ilyas, F. Mohamed and Priscila, S. Silvia and Sheela, K. and Vimala Roselin, J. and Sona, K. V. and Prema, R. (2025) Comparative Analysis of Improved K-Means Clustering for Human Freedom Index. In: Comparative Analysis of Improved K-Means Clustering for Human Freedom Index. Springer, pp. 26-39.

Priscila, S. Silvia and Sakthivanitha, M. and Sadhana, C. and Lavanya, M. and Poornima, V. (2025) Heart Disease Prediction using Logistic Regression with PCA-MFSA Feature Extraction Technique and Multidimensional Scaling (MDS) Pre-processing Approach. In: Artificial Intelligence Based Smart and Secured Applications. Springer, pp. 340-352.

Jeyalaksshmi, S. and Preethika, S. K. Piramu and Hannah, J. Grace and Sathya Narayanan, S.U. and Sangeetha, Radhakrishnan and Priscila, S. Silvia (2024) Prediction of Cancer Blood Disorder Using Adaptive Otsu Threshold and Deep Convolutional Neural Networks:. In: Advancements in Clinical Medicine. IGI Global Scientific Publishing, pp. 303-316.

Conference or Workshop Item

Priscila, S. Silvia and Sakthivanitha, M. and Yogeshwari, M. and Devakirubai, T. Shirley and Sirajudeen, M. Mohamed (2025) Artificial Intelligence Techniques for the Performance Analysis of Indian Mutual Fund Industry and Market Trends. In: 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI), Goathgaun, Nepal.