Chaos-Tuned AI Promises to Predict Which Software Will Break Before It Does
Researchers in New Delhi have built a hybrid deep learning framework combining improved SMOTE, swarm-based feature selection, and chaos-assisted metaheuristic ...
Tag: feature selection
Smart Feature Selection Slashes Data Needs for Evapotranspiration Prediction
A hybrid machine learning framework combining seven feature selection methods with XGBoost achieves near-perfect daily reference evapotranspiration estimates from just ...
Deep Learning Meets Multi-Objective Optimization to Grade Vocational Teaching Quality
A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 percent accuracy in assessing vocational ...
Brain Waves and Machine Learning Join Forces to Tell Alzheimer’s and FTD Apart
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
AI Reads Protein Sequences to Find Domain Boundaries Without Any Structural Data
A new machine learning framework called Seq2DomML predicts residue-level protein domain boundaries in bacterial proteins directly from sequence, outperforming established ...
Signature Science: New Multi-Phase AI Finds the Traits That Never Lie
Researchers in India have developed a multi-phase fusion architecture that identifies stable, consistent features across a writer's genuine signatures, achieving ...
Rough Set Theory Trims the Data Needed to Flag HER2-Positive Breast Cancer
A rough set theory analysis of the METABRIC cohort shows that a compact set of routine clinical variables can moderately ...
Decade of Data: How Explainable AI Is Cracking Open the Black Box of Crash Severity Prediction
A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME ...
AI Strips Earthquake Risk Prediction Down to a Handful of Vital Clues
Researchers at Erciyes University show that interpretable machine learning with a reduced set of critical building parameters can predict the ...
New Graph-Based Algorithm Tames Streaming Features in High-Dimensional Data
A new three-stage algorithm called FS-GSR combines graph-based scoring with sparse reconstruction to select compact, high-performing feature subsets from high-dimensional ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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