Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.
In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
These questions come from my Udemy training and the certificationexams.pro website, resources that have helped many students pass the DP-100 certification. These are not DP-100 exam dumps or ...
BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge systems.
Data breaches continue to be a major problem for corporations and organizations in 2025, and the U.S. Department of Justice, Criminal Division, ...
Active Contour Model Driven by Non-Local Feature Fitting Energy Function With Scalable Normalization
Abstract: It is challenging for active contour models (ACMs) to segment weak-edge and noisy images efficiently and accurately. To solve this problem, a novel ACM is proposed in this work. The proposed ...
Department of Chemical & Petroleum Engineering, The University of Kansas, 4132 Learned Hall 1530 W 15th St, Lawrence, Kansas 66045, United States Center for Environmentally Beneficial Catalysis, The ...
Abstract: Discrete choice models are essential for modelling various decision-making processes in human behaviour. However, the specification of these models has depended heavily on domain knowledge ...
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