This study aims to optimize the hyperparameters of the Random Forest model in diabetes classification using the Pima Indian Diabetes dataset, given the importance of early diabetes diagnosis to mitigate serious health impacts. While Random Forest is a popular algorithm for classification due to its resistance to overfitting, the selection of the right hyperparameters significantly […]
This research analytically investigates the effect of resistive load on the transient performance of a -mode piezoelectric vibration energy harvester. Through normalized voltage and power analyses under varying normalized resistive loads and excitation frequencies, it is observed that the normalized voltage peaks consistently at resonance frequency, with its magnitude increasing as load resistance decreases. The […]
Chromosomal mosaicism in preimplantation embryos, characterized by cells with varying genotypes, arises due to mitotic errors after fertilization. These errors, including anaphase lag, mitotic nondisjunction, or cytokinesis failure, typically occur during early embryonic divisions when maternal factors predominantly regulate development. The impact of mosaicism on embryonic viability varies based on the stage and nature of […]
This article explores the significance of workplace learning and collaborative learning, focusing on their applications within Azerbaijan’s education system. By analyzing global best practices and local contexts, the article identifies key strategies to enhance the professional development of educators and students. Workplace learning is examined as a mechanism for continuous professional growth through structured and […]
Inventory Record Inaccuracy (IRI) presents critical challenges to warehouse operations by causing inefficiencies, financial losses, and diminished stakeholder trust. This study examines IRI at XYZ Warehouse through the analysis of Gross Variance and Net Variance, identifying a discrepancy rate of 0.53%, equivalent to 3,089 units or IDR 154,450,000 in potential financial losses. The findings emphasize […]
This paper investigates the intersection of sociological perspectives and computer science in the workplace, emphasizing how technology adoption can enhance efficiency and contribute to the digital economy. Through a qualitative analysis of contemporary case studies, the paper highlights the social dynamics affecting technology integration and argues for a holistic approach considering cultural, organizational, and socioeconomic […]
The agriculture sector faces significant challenges due to diseases affecting crop yields, particularly in yam cultivation. This study explores the adaptation of deep learning techniques for early detection of yam diseases using a LeNet-5 Convolutional Neural Network (CNN) architecture optimized with the Adam optimizer. The fam sides considered are; Ardokola, Zing and Mutum Biu in […]
Providing infrastructure is one of the fundamental sectors that must be realized in the context of economic development so that general prosperity can be achieved. In its implementation, the Government has determined projects that fall into the National Strategic Project (PSN) category, the aim of which is to meet basic needs and improve community welfare. […]
The creative thinking ability of students in mathematics remains very low in practice. Creative thinking skills can be enhanced through contextual mathematics learning by connecting mathematics to everyday life, and one of its examples is the use of hopscotch games. However, in reality, there are no existing learning tools that incorporate games to improve students’ […]
This study aims to discuss the involvement of local cultural factors in corporate governance. The involvement of local cultural factors results in two phenomena: (1) controlling the power of owners and (2) reduced independence of the board of commissioners and audit committee in monitoring CEO and board performance. Design/methodology/approach – This qualitative study employs in-depth […]
