[PDF][PDF] Improved Epilepsy Identification with XGBoost vs. Logistic Regression

G Hemanth, N Navaprakash - SPAST Reports, 2024 - scitepress.org
This study aims to analyse and detect epilepsy with enhanced accuracy by implementing the
XGBoost algorithm, comparing its performance against the Logistic Regression algorithm …

[PDF][PDF] COmparing T-Shape Isotropic Antennas on Kevlar and FR4 Substrates for Enhanced Gain

V Sudheer, A Raja - SPAST Reports, 2024 - scitepress.org
To compare and analyse the innovative isotropic T-shaped antenna's enhancement of gain
through the use of a Kevlar substrate with an FR4 substrate. Materials and Methods: This …

[PDF][PDF] Assessment of Power Consumption Using a Single Edge Triggering Flip Flop versus a Clocked CMOS Flip Flop

T Sindhuja, P Dass - SPAST Reports, 2024 - scitepress.org
This study focuses on evaluating the power consumption using a Single Edge Triggering
Flip Flop in comparison with a clocked CMOS Flip Flop. The research is divided into two …

[PDF][PDF] Enhancing the Quality of Fog/Mist Images by Comparing the Effectiveness of Kalman Filter and Adaptive Filter for Noise Reduction

T Srinivasulu, JJJ Sheela - SPAST Reports, 2024 - spast.org
Enhancing the Quality of Fog/Mist Images by Comparing the Effectiveness of Kalman Filter and
Adaptive Filter for Noise Reduction Page 1 Enhancing the Quality of Fog/Mist Images by …

[PDF][PDF] Comparison of Superpixel and Correlation Based Segmentation for Improved WBC Segmentation in Microscopic Images

R Ramanjaneyulu, V Rajmohan - SPAST Reports, 2024 - scitepress.org
The objective of this investigation is to refine the precision of segmentation for white blood
cells (WBCs) by employing an innovative Superpixel algorithm. Additionally, the efficacy of …

[PDF][PDF] Cervical Cancer Detection: Logistic Regression vs. Neural Network

MG Dinesh, SD Raj - SPAST Reports, 2024 - scitepress.org
The research aims to investigate and diagnose cervical cancer conditions by comparing the
Logistic Regression algorithm with the Artificial Neural Network approach. Materials and …

[PDF][PDF] Precise Portfolio Optimization Based on Novel Modern Portfolio Theory Using Time Series Model Compared with LASSO Regression

K Sravan, P Sriramya - SPAST Reports, 2024 - scitepress.org
This study aims to augment the accuracy of stock market prediction by amalgamating Time
Series Model algorithms with LASSO Regression. Historical financial data for various assets …