Fish Optimization Algorithm Boosts Deep Learning Network Attack Detection Accuracy
A deep learning framework integrating an enhanced restricted Boltzmann machine with bitterling fish optimization achieves over 98 percent accuracy in ...
Tag: hyperparameter tuning
Optimized Cross-Attention Memory Network Accurately Predicts Audience Immersion in Interactive Art
A deep learning framework pairing cross-attention memory networks with dhole optimization predicts audience immersion in digital twin art environments with ...
Optimized XGBoost Model Predicts Urban PM2.5 Concentrations with High Precision
Researchers coupled an extended gradient boosting model with an improved grasshopper optimization algorithm to predict hourly PM2.5 concentrations across 26 ...
Shark-Inspired Remora Algorithm Enhances Support Vector Machine Network Intrusion Detection Accuracy
A bio-inspired hybrid optimization algorithm incorporating White Shark Optimizer mechanics and quadratic interpolation into the Remora Optimization Algorithm enhances Support ...
Wearable IMU models classify badminton fatigue offline with fold-mean AUC reaching 0.846
Researchers evaluated offline machine-learning classification of physical fatigue in badminton athletes using wearable inertial measurement units, achieving fold-mean area under ...
MinerSweeper Automates Business Process Discovery Pipelines Through Multi-Objective Metaheuristic Optimization
Researchers have introduced MinerSweeper, an open-source software tool that automates business process discovery pipelines by orchestrating preprocessing, algorithm selection, and ...
Clinical Prediction Stability Depends on Algorithms and Tuning Beyond Sample Size
An empirical study reveals that clinical prediction model stability depends not only on sample size but also on algorithm selection ...
Machine Learning Model Predicts Rockburst Intensity in Deep Underground Engineering
An interpretable machine learning framework combining Schrödinger optimization and SHAP analysis improved four-class rockburst intensity prediction and passed preliminary validation ...
Machine Learning Outperforms Design Codes at Predicting Concrete Crack Spacing
Extremely randomized trees models trained on 96 experimental records predicted primary crack spacing in reinforced concrete flexural members more accurately ...
Neural Network Tuning Reveals Which Cooling Metrics Rule High-Density Data Centers
A sensitivity analysis using MLP and RBF neural networks on synthetic cooling data finds that temperature difference, airflow, and mass ...
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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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