Tag: Machine Learning

Moroccan researchers have developed a memory-enhanced fractional self-organizing map that clusters household energy consumption from survey data, revealing stark links ...

Researchers identified three short peptides from beech mushrooms that enhance the perception and duration of saltiness, pointing toward tastier low-sodium ...

Researchers have built a deep reinforcement learning system called HE-FDDQN that personalizes college students' physical training with 92.5 percent accuracy ...

A new machine learning study identifies ten key bacterial species and visualizes the abundance thresholds that separate healthy vaginal microbiomes ...

Researchers converted millions of LendingClub loan records into structure-aware grayscale images and showed that a hybrid convolutional neural network and ...

A large ABCD Study analysis links social conditions such as pollution, school quality, unemployment, and discrimination to adolescent brain age ...

Researchers used machine learning to create a CKM-specific biological aging index that outperforms existing measures in predicting mortality and identifying ...

Researchers combined UV–Vis–NIR spectroscopy with machine learning and metaheuristic wavelength selection to detect toxic para-phenylenediamine adulteration in henna non-destructively.

A new study shows that an interpretable AI model fusing 18F-PSMA-1007 PET/CT and multiparametric MRI can predict prostate cancer aggressiveness ...

A new machine learning method called DCSE predicts side effects of drug combinations and introduces more realistic evaluation standards that ...

A systematic review finds that blockchain, IoT and artificial intelligence are transforming food supply chains, with integrated digital frameworks offering ...

Researchers combined single-particle fluorescence, optical morphology, and machine learning with domain adaptation to better distinguish biological aerosols from dust, sea ...

A new classifier called CABLE-kNN caches local neighborhood evidence during training and neutralizes class priors, beating ordinary kNN on imbalanced ...

A multicenter study shows that a hybrid model combining MRI radiomics, delta features, and clinical variables predicts overall survival in ...

Researchers in Türkiye combined transfer learning with MobileNetV2, Xception, and classical classifiers to classify five rice varieties with up to ...

A new review maps field-tailored multiscale design strategies that let lead-free BNT-based ceramic capacitors optimize polarization, breakdown strength, and relaxation ...

A computational study combining RNA sequencing of blood samples with machine learning and rigorous batch correction has identified 18 candidate ...

A machine learning analysis of 1,525 SEER records finds that concurrent chemoradiotherapy is associated with roughly 30 percent better disease-specific ...

Researchers have combined artificial neural networks with genetic algorithms to model and optimize multistage palm oil fractional crystallization, achieving prediction ...

A comprehensive analysis of 2,737 genomes reorganizes the Mycobacterium avium complex into fifteen species-level clusters and delivers an open-access identification ...