A Review of Machine Learning Methods for IoT Network-Centric Anomaly Detection

A Nag, MM Hassan, D Mandal, N Chand… - 2024 47th …, 2024 - ieeexplore.ieee.org
Anomaly detection in IoT infrastructure is a growing idea in the IoT area. The IoT enables the
linking of many devices through the use of wireless and mobile communication …

[PDF][PDF] An efficient machine learning approach for classification of diabetic retinopathy stages

S Dasari, B Poonguzhali, MS Rayudu - Indonesian Journal of …, 2023 - academia.edu
Diabetic retinopathy (DR) the prime cause of blindness, develops when glucose levels rise,
causing retinal damage. DR can be prevented if the illness is detected early. As a result …

[PDF][PDF] Approach by modeling to generate an e-commerce web code from laravel model

M Rahmouni, M Bouzaidi, S Mbarki - Indonesian Journal of Electrical …, 2023 - academia.edu
The world of web is constantly evolving. Today, we no longer speak of a website but of a
web application. The growing difficulty of designing web applications has given rise to …

[PDF][PDF] Transfer Learning Based Fire Recognition

AM Habbib, AM Khidhir - Int. J. Tech. Phys. Probl. Eng.(IJTPE), 2023 - iotpe.tabaelm.com
Over the past decade, Researchers have been interested in fire detection because of the
serious harm that may be done to both people and property in a short amount of time. Fire is …

Early prediction of COVID-19 infection with IoT and machine learning

CM Pan, K Shanmugam, ME Rana… - … on Developments in …, 2023 - ieeexplore.ieee.org
The deadly virus COVID-19 has heavily impacted all countries and brought a dramatic loss
of human life. It is an unprecedented scenario and poses an extreme challenge to the …

Machine Learning Combined with Thresholding-A Blended Approach to Potholes Detection

NJA Muhamad, ME Rana, VA Hameed… - … on Advancements in …, 2022 - ieeexplore.ieee.org
Potholes are a regular occurrence that can cause discomfort and harm everyday road users.
In recent times many studies have been done on automated pothole detection as there is a …

Apriori Algorithm based Association Rule Mining to Enhance Small-Scale Retailer Sales

VA Hameed, ME Rana, LH Enn - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
This research aims to assist small online gift store retailers who have not yet adopted a
recommender system by leveraging association rules to offer personalized product …

An Evaluation of How Ubiquitous Computing Can Improve the Efficiency of Urban Farming

K Shanmugam, JIB Dzulkarnain… - 2023 IEEE 21st …, 2023 - ieeexplore.ieee.org
This research paper will evaluate existing urban farming practices and how IoT devices can
improve the process. Contemporary literature on urban farming practices, such as rooftop …

Ethereum Fraud Detection Using Machine Learning

M Raheem, NF Abubacker - 2023 IEEE 21st Student …, 2023 - ieeexplore.ieee.org
Blockchain technologies for cryptocurrency applications have gotten a lot of attention and
popularity among researchers and public consumers in recent years. The advent of …

Improved optical character recognition for bill of materials

VA Hameed, ME Rana, R Abdulla - AIP Conference Proceedings, 2024 - pubs.aip.org
This research focuses on the development of automated techniques for Bill of Materials list
detection and extraction in isometric drawings. The objective is to streamline the process …