UI/UX Design for Online Learning Approach by Predictive Student Experience

KR Chaganti, US Ramula… - 2023 7th …, 2023 - ieeexplore.ieee.org
This study examines how an User Interface (UI) and User Experience (UX) design for online
learning/educational platforms can be designed in a way that can be fully effective for …

Comparative Study of Machine Learning Algorithms for Fake Review Detection with Emphasis on SVM

P Naresh, SVN Pavan, AR Mohammed… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
Online reviews have become an essential factor in consumer decision-making, with the
credibility and authenticity of such reviews being a major concern. Fake reviews, including …

A novel deep learning based improved cluster based region classifier algorithm to recognize and categorize emotions using EEG signals

GK Chakravarthy, M Suchithra - 2023 7th International …, 2023 - ieeexplore.ieee.org
Nowadays deep learning plays vital role in emotion recognition. It distinguishes emotions as
easy or multi-models for visual capturing. This works to provide an automatic version for …

Narrow Stock Trends using Machine Learning Techniques

B Prashanthi, BN Vamshi, DA Kumar… - 2023 3rd …, 2023 - ieeexplore.ieee.org
For many years, the prediction of stock market prices has captivated the attention of
researchers and academics. The unpredictability of stock prices stems from their …

Detection of Vulnerability in Websites Predominantly Against CSRF Using Machine Learning

L Singh, R Suguna, P Parshapa… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Nowadays, web applications serve as the primary edge for accessing security-sensitive data
and functionality. These applications are frequently used for tasks such as filing taxes …

Inbuilt Framework Using IoT and Computer Vision Technique for Automatic Visitor Management

G Yedukondalu, N Rajesh, BK Kumar… - 2023 7th …, 2023 - ieeexplore.ieee.org
The Visitor Monitoring (VM) concept is based on the use of systems and gadgets to improve
occupant comfort, energy efficiency, privacy, and safety of its inhabitants. Visitor monitoring …

[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 …

[PDF][PDF] EXAMINING THE ADVANTAGES AND DISADVANTAGES OF VIRTUAL MACHINE MIGRATION SYSTEMS IN CLOUD-BASED ENVIRONMENTS

G SOUMYA, J SAMPATH - RES MILITARIS, 2021 - resmilitaris.net
Virtualization techniques are successfully used in large-scale Cloud Data Centers (CDC) to
address the increasing demand for compute, storage, and communication resources. Many …