AlphaGalileo

Transfer learning boosts leaf trait estimation from space

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
Technology Networks

Predictive Modeling for Compound Prioritization

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
IEEE

Bayesian Learning-Based Multiuser Detection for Grant-Free NOMA Systems

Abstract: Grant-Free Non-Orthogonal Multiple Access (GF-NOMA) is considered as a promising technology to support the massive connectivity of Machine-Type Communications (MTC). The design of efficient ...
Morning Overview on MSN

Your DNA carries a 'ghost' human lineage that scientists have never found a fossil for

Somewhere between 2% and 19% of the genetic ancestry carried by present-day West African populations traces back to an ...
IEEE

Improved Spike-Based Brain-Machine Interface Using Bayesian Adaptive Kernel Smoother and Deep Learning

Abstract: Multiunit activity (MUA) has been proposed to mitigate the robustness issue faced by single-unit activity (SUA)-based brain-machine interfaces (BMIs). Most MUA-based BMIs still employ a ...
Nature

Bayesian-optimized machine learning models for classifying metabolic syndrome control among NCD patients in Bangladesh hospitals

Control of metabolic syndrome (MS) is still a major challenge for patients suffering from Non-communicable diseases (NCDs) in Bangladesh. In this study, the status of MS control was determined, and ...
Nature

Explainable tree-based machine learning models with Bayesian optimization in Optuna for flood susceptibility assessment

Floods are among the most destructive natural hazards, particularly in regions with complex terrain and hydrology, where they cause substantial environmental, social, and economic losses. Reliable ...

Machine Learning Is Enabling A New Era For Precision Medicine And Pharmacogenomics

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Machine learning rediscovers equations governing ocean biogeochemistry

Climate and ocean models use a series of equations to represent complex natural processes. However, the equations used in ...

Lifelong learner, a relentless innovator

Returning to academia was also personal. Introduced to Bhaktee Dongaonkar by Kavita Vemuri, he began a PhD in Cognitive ...
Tech Xplore on MSN

Forgetting may be the secret to better AI language learning

Giving AI a human-like memory limitation may actually help it learn language better. In their new proof-of-principle study, ...
Helsinki

Multi-source probabilistic inference

The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...