Balancing Accuracy and Interpretability: GradientSHAP for Enhanced Energy Demand Predictions
ABSTRACT The growing amalgamation of renewable sources of energy in power systems has increased the need for accurate energy demand ...
Tag: Machine Learning
ForestSHAP Explainability for PostHarvest Fruit & Vegetables Prediction: An AI-Driven Approach to Quality Assessment and Freshness Detection
ABSTRACT Postharvest quality assessment of fruits and vegetable is pivotal in ensuring ideal freshness, reduction in waste, and enhancing ne ...
SynoBoost-LuminoFeatML for Financial Fraud Prediction
ABSTRACT With the rise in technology, the rates of fraudulent activities are significantly increasing, causing threat and reputation at stake ...
Optimizing Machine Learning Classifiers and Feature Selection Techniques for Obesity Levels Estimation Using Physical Habits and Dietary Data
ABSTRACT According to the World Health Organization, obesity is defined as a BMI exceeding 30 which is considered a ...
BaggingSHAP: A Novel Ensemble Approach for High-Accuracy Energy Demand Forecasting
ABSTRACT Accurate prediction of energy demand is crucial for effective grid planning and strategy management in smart grids. This research ...
Exploring PolyFeatureML for Predictive Analytics in Student Academic Performance: Bridging Educational Insights with Public Policy
ABSTRACT Predicting student academic performance has become a crucial focus in educational data mining, enabling timely interventions to support at-risk ...
Ensemble Machine Learning Approaches to Predicting Mechanical Properties of Carbon Fiber Reinforced Composites
ABSTRACT This study presents a concise analysis on applying machine learning (ML) algorithms to predict the mechanical properties of Polyphenylene ...
A Comprehensive study: – Sarcasm detection in sentimental analysis
ABSTRACT Sarcasm detection is one of the active research area in sentimental analysis. However this paper talks about one of ...
Twitter Opinion Mining Using Sentiment Analysis
ABSTRACT This is very important to extract verdict or opinion of others about any product, topic or about some person. ...
Design of Potential Drugs and Vaccines for COVID 19 by the Application of Machine Learning and Artificial Intelligence
ABSTRACT Computational methods like neural network and genetic algorithm can be used to speed up the drug discovery process. Machine ...
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World Scientific News (WSN) is an open-access fully peer-reviewed scholarly journal. The monthly – interdisciplinary journal is directed in the first place to scientists who want to publish their findings, insights, observations, conclusions, etc.
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