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LG Chem Leverages AI, Drones for Anomaly Detection
LG Chem is accelerating efforts to enhance customer value by pursuing an "Artificial Intelligence Transformation (AX)" across ...
Kaiya now plans, reasons, and executes multi-step analytic workflows autonomously—leveraging SQL, Python, and contextual ...
AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...
Magnetic data boundary detection is a key technology in potential field data processing, providing an effective basis for the division of geological units and fault structures. It holds significant ...
ABSTRACT: In recent decades, the impact of climate change on natural resources has increased. However, the main challenges associated with the collection of meteorological data include the presence of ...
Abstract: The rapid expansion of data from diverse sources has made anomaly detection (AD) increasingly essential for identifying unexpected observations that may signal system failures, security ...
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Deep Neural Network From Scratch in Python ¦ Fully Connected Feedforward Neural Network
Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning! 58 shot, 8 dead, in Chicago amid Trump's threat to deploy National Guard Donald ...
ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...
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