A Development of AI Connected System with Adaptive Assessments Method for Evaluation Methods in Education Field

S Yuldashev, M Akramov, F Tursunova… - 2024 4th …, 2024 - ieeexplore.ieee.org
Thus, assessment methods bear importance in the ever-blooming state of education, as they
are determinant of how a student progresses in his or her studies. Traditional ways of …

An optimal feature subset selection technique to improve accounting information security for intrusion detection systems

AS Shaker, A Alkhafaji, MQ Kuaiber… - International Journal of …, 2024 - Springer
The goal of an intrusion detection system (IDS) is to secure data on the network by
monitoring the flow of traffic and identifying malicious users. Since there is enormous data …

Transforming RPA in Science & Commerce

T Agrawal, KR Varalakshmi - 2024 1st International …, 2024 - ieeexplore.ieee.org
Recently, there has been a rise in interest in robotic process automation. However, the
majority of the currently available literature focuses on the theoretical underpinnings of …

A novel and optimized IoT–ML based plant classification, monitoring and prediction system

S Kaur, H Anandaram, A Ahmad, A Kumari… - International Journal of …, 2024 - Springer
With the increasing demand for modern technologies and automation, there is a need to
maintain plants by adopting such modern automated technologies. Every plant has some …

A novel approach to detect, analyze and block adversarial web pages

MR Kumar, DA Naik, N Kapila, CR Mohan… - International Journal of …, 2024 - Springer
The phenomenon of distraction is very common, and its adverse effects are seen among
people. The major cause underlying this issue is the ease with which adversarial web sites …

Fog Computing Integrated with and Blockchain Technology for Accurate Disease Prediction

R Raman, MA Verma, V Kumar… - 2024 4th …, 2024 - ieeexplore.ieee.org
A modern computational paradigm known as fog computing provides distributed end users
with very scalable and low-latency services. Because local fog nodes enable the quick …

Automated sleep staging analysis using sleep EEG signal: A machine learning based model

SK Satapathy, D Loganathan… - 2021 International …, 2021 - ieeexplore.ieee.org
Sleep is essential for people health and well-being. However, numerous individuals face
sleep problems. These problems can lead to several neurological and physical disorder …

Ai-Integrated System Design for Early Stage Learning and Erudition to Develop Analytical Deftones

G Kuchkarova, S Kholmatov… - 2024 4th …, 2024 - ieeexplore.ieee.org
There has been a growing interest in the last couple of years to investigate whether
integrating artificial intelligence (AI) in early childhood education can support the realization …

A Development of Dynamic End-To-End Slicing Network Along with the Offline SLA-Method Integrated with Deep Learning for 5G/6G Networks

A Khalid, RG Anand, A Malviya - 2024 1st International …, 2024 - ieeexplore.ieee.org
Using SDN, or software-defined networking, and Network Function Virtualization, or (NFV),
we address the problem of resource provisioning in fifth-generation (5G) networks to enable …

Testing user Attitudes in IoT-load interface Based Healthcare attention management system

R Tewari, Z Alsalami, HA Alsailawi… - 2024 4th …, 2024 - ieeexplore.ieee.org
The study aims to analyze consumer perception toward adopting Internet of Things (IoT)
technology in healthcare. In contrast to earlier studies that focused on the technical aspects …