Vehicle Predictive Maintenance Market was valued at US$ 3 Bn in 2025 and is projected to reach US$ 13.7 Bn by 2036, growing at a CAGR of 14.7%, driven by AI diagnostics and IoT-based vehicle ...
Simulation-based learning approaches this challenge differently. Rather than optimizing for knowledge transfer, simulations ...
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 ...
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., ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
In education, there’s sometimes a misperception that innovation must be linked to major changes in classroom instruction. I’ve witnessed schools restructuring their classes to be entirely ...
In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
(*, **) Although the paper reports this low R 2 value, it is likely a typographical error. Thus, unlike prior studies, often constrained by modest sample sizes and a ...
Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...
Introduction: Human behavior shapes the transmission of infectious diseases and determines the effectiveness of public health measures designed to mitigate transmission. To accurately reflect these ...
Abstract: Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can achieve high recognition accuracy with sufficient training data. Transfer learning presents a ...
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