This review paper explores the intersection of big data analytics and epidemic forecasting,
highlighting both technical approaches and policy frameworks. It delves into data collection …

Abstract The Internet of Things (IoT) is a communication paradigm and a collection of
heterogeneous interconnected devices. It produces large-scale distributed, and diverse data …

This research paper explores the challenges, solutions, and impact of implementing
machine learning (ML) models in business analytics. It delves into the complexities of …

High-frequency monitoring of agrometeorological parameters is quintessential in the domain
of Precision Agriculture (PA), where timeliness of collected observations and the ability to …

Real-time extract transform load (ETL) is the integral part of increasing demand of faster
business decisions targeting large number of modern applications. Multi-source …

Water quality is a critical factor in shrimp farming, and the success of shrimp production is
closely tied to the overall condition of the water. Challenges such as rapid population …

The Online Roadshow, a new type of web application, is a digital marketing approach that
aims to maximize contactless business engagement. It leverages web computing to conduct …

With the rapid proliferation of insecure Internet of Things (IoT) devices, the security of
Internet‐based applications and networks has become a prominent concern. One of the …

The evolution of drilling operations in the oil and gas industry has highlighted the need for
more efficient and adaptive management of drilling fluids, particularly in complex well …

In today's era the current medical application accepts and analyze the patient medical data.
Develo** a system to acquire data that can “Efficient Data Security System for Storing …