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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Machine-Learning Models C" (30 stories)

Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete

Lead StoryNaturegeneral

May 7

Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ENWo2QTltZmNOci14VmVISVFiR1JwSkVuZmZQMG40VmlwaDBqUmFobnFaV2V2ZHdPNGU2Z2pNSVJMRUxNakdkSGxLQmVJQW44Y0o4aDBPY0RyTFVrTEhR?oc=5" target="_blank">Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete</a>&nbsp;&nbsp;Nature

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Search Results for "Machine-Learning Models C"

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DefensePredictor: A machine learning model to discover prokaryotic immune systems

Science | AAASworld

Apr 2

DefensePredictor: A machine learning model to discover prokaryotic immune systems

<a href="https://news.google.com/rss/articles/CBMiYEFVX3lxTE00ajlmZFdwenI5cHl6dFNwbjRvSGw5Y18tNFF1ODhGbGhWY2RXeFk4ZXBib3NpRlREbllpdXp3X1MyTUNvZTNoUlc2WmRCaElXZGxiTmZMRzFfZFNZYVRiRA?oc=5" target="_blank">DefensePredictor: A machine learning model to discover prokaryotic immune systems</a>&nbsp;&nbsp;Science | AAAS

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Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete

Google Trends & Trending Search Intelligence

matthew stone sr

selma blair

al-nassr vs neftchi fergana

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Search Results for "Machine-Learning Models C"

DefensePredictor: A machine learning model to discover prokaryotic immune systems

Designing Target-specific Data Sets for Regioselectivity Predictions on Complex Substrates

Network-enhanced machine learning framework for multi crop yield prediction: a comprehensive analysis of indian agricultural data

Machine Learning Trends 2026: What C-Suite Leaders Must Prioritize Now

Top 8 Deep Learning Frameworks You Should Know

Evaluating human–machine collaboration through a comparative analysis of experts, machine learning, and hybrid approaches in real estate valuation | Scientific Reports

Machine learning algorithms could support early diagnosis of HIV, Hepatitis B, and Hepatitis C in primary care settings

Early risk detection of metabolic syndrome using sex-specific machine learning models in military personnel

Hierarchical transfer learning: an agile and equitable strategy for machine-learning interatomic models

Evaluating deep learning sepsis prediction models in ICUs under distribution shift: a multi-centre retrospective cohort study

An online interpretable machine learning model for predicting cardiometabolic multimorbidity risk in patients with type 2 diabetes mellitus

Reconstructing fine-scale 3D wind fields with terrain-informed machine learning

Survival machine learning models for predicting all-cause and case-specific mortality risk in metabolic dysfunction-associated fatty liver disease patients

A deep learning model for contact angle prediction in carbonate reservoirs under smart water assisted foam injection (SWAF)

Identifying domains of applicability of machine learning models for materials science

Accuracy and transportability of machine learning models for adolescent suicide prediction with longitudinal clinical records

Data reconstruction from machine learning models via inverse estimation and Bayesian inference | Scientific Reports

Comparison of deep LSTM and machine learning models for predicting compressive strength of fly ash/slag-based geopolymer concrete

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Deep learning models reveal the link between dynamic brain connectivity patterns and states of consciousness

Interpretability and fairness evaluation of deep learning models on MIMIC-IV dataset

A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population

Enhancing Debris Flow Warning via Machine Learning Feature Reduction and Model Selection

Explaining machine learning models with interactive natural language conversations using TalkToModel

Development of a deep learning model for survival prediction in heart failure: competing risk and frailty model

Robust fault detection and classification in power transmission lines via ensemble machine learning models

Choosing the Best Model Size and Dataset Size under a Fixed Budget for LLMs

Deep-learning-based gene perturbation effect prediction does not yet outperform simple linear baselines

Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients