Utilizing Machine Learning Approaches for Cardiovascular Disease Forecasting

K Seeboruth, LZ Wen, VA Hameed… - 2023 IEEE 21st …, 2023 - ieeexplore.ieee.org
Heart disease, often referred to as cardiovascular disease, encompasses various conditions
impacting the heart and has consistently been the top cause of death worldwide for many …

Harnessing the power of drones for precision agriculture: A real-time monitoring system utilizing sensor data and RF communication

YX Sio, R Abdulla… - 2023 IEEE 21st …, 2023 - ieeexplore.ieee.org
The main aim of this research is to develop a farming monitoring system using autonomous
drones to improve the efficiency of farming activities. Therefore, a sensor attached to the …

AgriAI: Machine Learning Frameworks for Tailored Crop Recommendations using Soil Nutrient Parameters

SM Shawon, NI Neha, AN Jui, N Dey… - … on Advances in …, 2024 - ieeexplore.ieee.org
Bangladesh heavily relies on agriculture, contributing 60% to its economy. Due to limited
smart farming practices, the country faces challenges in achieving maximum crop …

Optimizing Sales Forecasting: Implementing a Deep Learning Model for Accurate and Timely Predictions

ME Rana, TW Yao, VA Hameed - 2023 IEEE 6th International …, 2023 - ieeexplore.ieee.org
The ever-changing customer demands present a complex challenge for retail stores that
strive to satisfy their customers while maximizing their profits. To achieve this, retail stores …

Implementing Ubiquitous Computing in Precision Agriculture: A Strategy to Enhance Malaysia's Economic Growth

LJ Yuan, CR Ramachandiran… - 2023 IEEE 21st Student …, 2023 - ieeexplore.ieee.org
This research investigates the transformative potential of ubiquitous computing in precision
agriculture, with a specific emphasis on Malaysia. Drawing on existing literature and data up …

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 …

Recommendations for a Vertical Farming System Using Hydroponics, Machine Learning and IoT

B Mosaad, R Abdulla, ME Rana - 2023 4th International …, 2023 - ieeexplore.ieee.org
Agriculture nowadays faces several problems because of the rise of the global population,
which increased the food demand and caused instability in food security. Organic food that …

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 …

PSO-SVM Based Algorithm for Customer Churn Prediction in the Banking Industry

RRAP Ponnusamy, ME Rana… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
Customer churn is a major concern for the banking industry and there are many methods
being investigated to predict whether a customer would potentially churn. To solve this …

Improved Traditional Fitness Model by Applying Big Data Analysis

ME Rana, L Yanyu, VA Hameed… - … on Developments in …, 2023 - ieeexplore.ieee.org
This study elaborated on the importance of fitness in the contemporary environment, put
forward the problems in traditional fitness, and conducted a series of discussions according …