Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...
Data science is everywhere, a driving force behind modern decisions. When a streaming service suggests a movie, a bank sends ...
The integration of AI in concrete design using metakaolin leads to stronger, eco-friendly materials, advancing sustainability ...
Researchers have optimized a headspace sorptive extraction (HSSE) method coupled with gas chromatography-mass spectrometry ...
Quantum machine learning is being explored as the next frontier in cybersecurity, but new research shows it remains far from replacing established artificial intelligence systems in detecting phishing ...
Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...
Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Abstract: This paper aims to predict the diagnosis of Autism Spectrum Disorder (ASD) using the application of a few machine learning algorithms for comparison purposes to determine the performance of ...
The stroke deprives person's brain of oxygen and nutrients, which can cause brain cells to die. Numerous works have been carried out for predicting various diseases by comparing the performance of ...
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