Hybrid Neural Model Accurately Predicts Mode I Fracture Toughness in Cementitious Geomaterials
A hybrid artificial neural network optimized with the mayfly algorithm achieved superior accuracy in predicting pure mode I fracture toughness ...
Tag: Artificial neural networks
Neural Networks Predict Lingering Mercury in Groundwater Near Closed Lebanese Landfill
Researchers demonstrated that an artificial neural network trained on basic water quality parameters accurately predicts persistent groundwater mercury levels near ...
Artificial Neural Networks Outperform ANFIS in Modeling Bacterial Prodigiosin Production
Artificial neural network modeling demonstrated higher predictive accuracy than ANFIS for predicting prodigiosin production by Serratia marcescens across varying environmental ...
Machine Learning Optimizes Uncatalyzed Isoamyl Acetate Synthesis in Continuous Microreactors
Researchers coupled artificial neural networks with particle swarm optimization to balance ester yield and energy consumption in uncatalyzed microreactor synthesis.
Machine learning pinpoints cheapest cobalt catalysts for destroying toluene and propane fumes
Machine learning models trained on light-off data identified Co-CO3 as the most energy-efficient cobalt catalyst for toluene oxidation and the ...
Hyperspectral Imaging Accurately Identifies Ethanol Levels in Renewable Diesel Blends
Researchers demonstrated that visible and near-infrared hyperspectral imaging combined with artificial neural networks classifies ethanol concentrations in biodiesel-ethanol-diesel fuel blends ...
Neural Network Optimizes Surface Quality and Energy Use in Steel Machining
A hybrid modeling framework combining artificial neural networks and grey relational analysis achieved a 52.27 percent multiresponse improvement in wire ...
StatMatch: Statistical Matching Challenges SMOTE for Imbalanced Data
A newly published study shows that StatMatch, a statistical matching-based undersampling method, can match SMOTE on some imbalanced datasets although ...
Machine learning pinpoints a 40-lncRNA signature linked to lung adenocarcinoma survival
A machine learning analysis of 349 lung adenocarcinoma cases identified a 40-lncRNA signature that separated patients by overall survival and ...
Foamed Concrete Gets a Data-Driven Makeover for Low-Carbon Building
A new review maps how statistical and AI-based optimization, coupled with life cycle assessment, can balance strength, durability and carbon ...
Neural Networks Join Propensity Scores to Sharpen Causal Effect Estimates in Observational Studies
A new method integrates artificial neural network-based propensity score and outcome regression information into a multi-index propensity score framework for ...
Waste-Fed Microbes and Smart Statistics Could Cut Biosurfactant Costs
A new review argues that pairing cheap waste substrates with statistical and AI-driven optimization could finally make microbial biosurfactants economically ...
Weather Data Alone Struggles to Predict Building Heating Demand, Norwegian Machine Learning Study Finds
A study of two Norwegian buildings found that machine learning models predicted electricity consumption far more accurately than heating demand ...
Hybrid neural-fractional controller with eel-inspired optimizer sharpens electric vehicle motor speed control
A hybrid controller combining fractional calculus, neural networks and eel-inspired optimization achieved 0.0321-second settling times for BLDC motor speed control ...
ANN-guided cooling cuts model-predicted EV battery thermal risk
A neural-network surrogate paired with differential evolution reduced model-predicted EV battery thermal risk by 94.8% across charging rates from 0.5C ...
Adiabatic capacitive neuron: an energy-efficient functional unit for artificial neural networks
Researchers at the University of Edinburgh have developed an adiabatic capacitive neuron that recycles electrical charge to cut artificial neural ...
AI Cracks the Code of Aluminum Corrosion in Alkaline Batteries
A University of Waterloo team combined electrochemical experiments with neural networks and genetic algorithms to predict aluminum anode corrosion in ...
AI Model Predicts Algal Blooms in India’s Ashtamudi Estuary from Just Two Nutrients
A three-year study of India's Ashtamudi Estuary shows that phosphates and nitrates drive chlorophyll-a levels, and that a neural network ...
Machine Learning Reads Protein Disorder to Sort Autism Genes from the Rest
A new machine learning study shows that the amount of intrinsic disorder in a gene's protein product can help distinguish ...
Machine Learning Outsmarts Design Codes in Predicting Shear Strength of Recycled Concrete Beams
A new study shows that machine learning models, particularly Support Vector Machines, predict the shear strength of recycled aggregate concrete ...
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