High Dimensional Text Classification using Unsupervised Machine Learning Algorithm

P Naresh, B Akshay, B Rajasree… - … on Applied Artificial …, 2024 - ieeexplore.ieee.org
Document Clustering is an automatic data organization technique that greatly minimizes
complexity and time. The size of high-dimensional papers poses significant concerns and …

Deep Learning based Object Tracking and Detection for Autonomous Drones using YOLOv3

GN Leela, U Varun, M Uma, P Srinath… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
Object detection plays a vital role in enabling drones to perceive and interact intelligently
with their surroundings. The process involves data collection, selecting appropriate deep …

[PDF][PDF] IMPLEMENTATION OF OBFS USING FEATURE EXTRACTION AND INFORMATION GAIN TECHNIQUES FOR SKIN DISEASE CLASSIFICATION

LL Scientific - Journal of Theoretical and Applied Information …, 2024 - jatit.org
With the growing prevalence of skin diseases and the ever-increasing potential of
computational diagnostics, this study delves into the exploration and comparison of three …

Enhancing E-Government through Sentiment Analysis: A Dual Approach Using Text and Facial Expression Recognition

C Nagesh, B Divyasree, K Madhu… - 2024 International …, 2024 - ieeexplore.ieee.org
In the era of digital governance, understanding public sentiment towards governmental
initiatives is crucial for policy success and citizen engagement. This paper presents a novel …

[PDF][PDF] Implementation of Advanced Automated System to Classify Diabetic Retinopathy through the Integration of Machine Learning and Deep Learning Techniques

A Akula, RDK Chennamsetty - Journal of Nonlinear Analysis and …, 2023 - jnao-nu.com
Diabetic Retinopathy (DR) is a prevalent eye condition affecting individuals with diabetes,
often leading to blindness in adults. Manual diagnosis by ophthalmologists has historically …