Business Daily Africa

Credit scoring: When algorithms meet the farm gate

Traditional lending relies on collateral and a financial history that productive smallholder farmers may find difficult to ...
EurekAlert!

Novel method identifies critical lines in renewable-dominant hybrid AC/DC power systems

Curious about how to secure renewable-dominant power systems? A team from Shandong University developed a method combining GBDT and FP-Growth algorithms. It quickly assesses cascading failure risks, ...
EurekAlert!

Drones guide smarter nitrogen use in tobacco fields

Balancing nitrogen use is critical for maximizing crop yield while minimizing environmental and economic costs.
IEEE

Parkinson’s Disease Detection Through Vocal Features: Comparative Performance of Gradient Boosting Algorithms and a Stacked Ensemble Approach

Abstract: Early detection of Parkinson’s Disease (PD) remains a significant clinical challenge. The analysis of vocal features has emerged as a promising non-invasive biomarker; however, the ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
IEEE

GBCL: A Robust Methodology Design to Predict Lupus Disease Using Gradient Boost Classification Logic

Abstract: Lupus, or Systemic Lupus Erythematosus (SLE), disease is a complex autoimmune disorder that presents with heterogeneous symptoms, making early and accurate diagnosis a significant clinical ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Frontiers

An explainable ensemble machine learning model using baseline blood transcriptomics to predict Parkinson's disease motor progression

Predicting Parkinson's disease (PD) motor progression remains challenging despite advances in neuroimaging. Blood-based transcriptomic profiling offers a more accessible and cost-effective alternative ...