A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
Abstract: The proliferation of Internet of Things (IoT) devices has increased susceptibility to Distributed Denial of Service (DDoS) attacks, exposing the limitations of traditional security ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...
Diabetes is a chronic disease affecting over 400 million people globally, with its prevalence expected to rise sharply in the coming decades due to ageing populations, sedentary lifestyles, and ...
Machine learning (ML) is a subset of AI where a system learns patterns from data and makes decisions without being explicitly programmed for each outcome. In software development, this technology ...
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