The researcher focuses on the analysis of most common diverse methodologies of software development to choose the best one on the basis of different factors such as project type, size, development environment, and available ...

This paper presents an empirical study on advanced Deep Neural Network (DNN) models, with a focus on identifying potential baseline models for efficient deployment in resource-constrained environments (RCE). The systematic ...

Planogram is usually employed by modern retail shops to ease operational tasks, such as organizing and managing the storage room and product’s display shelf. Less research regarding planograms from the perspective of ...

This article explores the process of creating interactive educational podcasting platforms for higher education students. These platforms aim to enhance learning experiences and bridge the gaps in education through the use ...

This paper investigates the temperature sensitivity and electrical characteristics of Silicon Nanowire Transistor (SiNWT) and Germanium Nanowire Transistor (GeNWT) depending on variable channel length (Lg). It also studies ...

Frequency-hopping spread spectrum (FHSS) spreads the signal over a wide bandwidth where the carrier frequencies change rapidly according to a pseudorandom number making signal classification difficult. Classification ...

Stress is a significant issue in everyday life that affects both physical and mental health. There are different approaches to stress classification. This research examines the implementation of the fractal dimension (FD) ...

In wireless sensor networks (WSN), data aggregation algorithms are used to extend the network lifetime. The size of data packet transmitted from the cluster head (CH) to the base station (BS) seriously affected energy ...

The Halal transaction is the least studied field in Malaysia. The emergence of different types of fintech instigated a large surge of online transactions, in which transaction between a buyer and a seller becomes vague. ...

This work explores a novel method of SCA profiling to address compatibility problems and bolster Deep Learning (DL) models. Convolutional Neural Networks are proposed in this research as a countermeasure to misalignment-focused ...