A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.
📜 Descrição O Radar de Reputação é uma solução de inteligência artificial desenvolvida em parceria com a PepperLaw, voltada ao monitoramento automatizado da reputação de empresas na web. Usando ...
📜 Descrição O Radar de Reputação é uma solução de inteligência artificial desenvolvida em parceria com a PepperLaw, voltada ao monitoramento automatizado da reputação de empresas na web. Usando ...
Abstract: An innovative system designed to enhance communication for individuals using sign language. Developed in Python, the system leverages a Random Forest classifier to accurately interpret hand ...
Background: Decisions surrounding involuntary psychiatric treatment orders often involve complex clinical, legal, and ethical considerations, especially when patients lack decisional capacity and ...
A pioneering study reveals how archaeologists' satellite tools can be repurposed to tackle climate change. By using AI and satellite LiDAR imagery from NASA and ESA, researchers have found a faster, ...
Abstract: Class imbalance poses a critical challenge in binary classification problems, particularly when rare but significant events are underrepresented in the training set. While traditional ...
A novel framework integrates urban surveillance video data with a two-stage AI pipeline: an enhanced random forest classifier detects rain streaks and selects key image regions, while a hybrid deep ...
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