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 ...
Tag: artificial neural networks
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 ...
Machine Learning Models Track Rising Heatwave Magnitude in Western Maharashtra
A new study combining change-point analysis with ARIMA and neural network models finds rising heatwave magnitude in Western Maharashtra and ...
Ease of Use Drives Student Adoption of AI Learning Systems, Study Finds
A survey of 301 Chinese university students found that perceived ease of use, not perceived usefulness, was the strongest predictor ...
Coati-Inspired Algorithm Boosts Solar Radiation Forecast Accuracy in Indian Study
A hybrid neural network tuned by the Coati Optimization Algorithm achieved a 97.244 percent coefficient of determination in hourly solar ...
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 ...
Cultural identity emerges as strongest predictor of digital heritage engagement
A survey study of 504 Digital Dunhuang users found cultural identity was the strongest predictor of continuance and recommendation intentions.
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 ...
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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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