Gradient Descent: This article describes how to implement a gradient descent using the differential approach (2D example implementation), then, using the perturbation approach (3D example ...
ABSTRACT: Addressing the long-standing structural disconnection issues of “having towns without industries” and “having industries without towns” at the township level in China, and in the context of ...
Abstract: Control systems education plays a fundamental role in engineering education, as it provides the foundation for understanding how dynamic systems respond to various inputs and behave over ...
Lung cancer is one of the deadliest diseases, and early detection can significantly improve survival rates. This AI-driven Lung Cancer Detection system leverages Deep Learning to analyze CT scan ...
ABSTRACT: In response to the problem of inadequate utilization of local information in PolSAR image classification using Vision Transformer in existing studies, this paper proposes a Vision ...
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If you’re trying to find ways to move away from single-use items for the sake of the planet, don’t overlook the humble AA (or AAA, or C, or D) battery. Rechargeable batteries can cost more than twice ...
There is significant interest and importance to develop robust machine learning models to assist organic chemistry synthesis. Typically, task-specific machine learning models for distinct reaction ...
Abstract: This article proposes a technique for power distribution in the smart grid. This concept is based on a deep learning technique that employs the long short-term memory (LSTM), which is a ...