Browse Items (5 total)
- Collection: Vol 7, No 4
December 2024
Sort by:
Optimizing Village-Level Quick Count Accuracy and Efficiency via a
Stratified Systematic Cluster Random Sampling Approach
Accurate and transparent election result reporting plays a vital role in preserving public confidence and reinforcing democratic legitimacy. This
research evaluates the effectiveness of the Stratified Systematic Cluster Random Sampling (SSCRS)…
research evaluates the effectiveness of the Stratified Systematic Cluster Random Sampling (SSCRS)…
A Quantitative Analysis of Artificial Intelligence’s Impact on Students’
Mindset and Critical Thinking in Higher Education
The rapid advancement of Artificial Intelligence (AI) has significantly transformed higher education, redefining how students learn, reason, and
engage with academic content. This study investigates the impact of AI utilization on students’ mindsets…
engage with academic content. This study investigates the impact of AI utilization on students’ mindsets…
Enhancing Housing Price Prediction Accuracy Using Decision Tree
Regression with Multivariate Real Estate Attributes
The real estate sector functions as a critical barometer of a nation’s economic performance; however, its inherent volatility and intricate pricing
mechanisms often hinder precise valuation—particularly in developing urban markets. In the context of…
mechanisms often hinder precise valuation—particularly in developing urban markets. In the context of…
A Comparative Analysis of Linear Regression and XGBoost Algorithms for
Predicting GPU Prices Using Technical Specifications
This study investigates and compares the predictive performance of Linear Regression and XGBoost algorithms in estimating Graphics
Processing Unit (GPU) prices based on their technical specifications. GPU prices are known for their high volatility,…
Processing Unit (GPU) prices based on their technical specifications. GPU prices are known for their high volatility,…
A Comparative Study of Naive Bayes, SVM, and Decision Tree Algorithms
for Diabetes Detection Based on Health Datasets
Diabetes is a chronic, progressive condition whose global prevalence continues to rise, creating substantial public health and economic burdens.
Early diagnosis and timely intervention are critical to preventing severe complications and improving…
Early diagnosis and timely intervention are critical to preventing severe complications and improving…