Abstract: Accurate traffic forecasting is essential for intelligent transportation system management and control. Due to the highly complex spatiotemporal (ST) correlation of real-world road networks, ...
ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...
LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
The TMS320F28P550SJ from Texas Instruments is the industry's first real-time MCU with an integrated neural processing unit (NPU). It's designed to run convolutional-neural-network (CNN) models to help ...
Abstract: Convolutional neural networks (CNNs) are evolving as they are applied to more diverse environments and more difficult challenges. The evolving induces various convolution modes (e.g., 1×1 ...
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1 Huzhou Key Laboratory of Green Energy Materials and Battery Cascade Utilization, School of Intelligent Manufacturing, Huzhou College, Huzhou, China 2 State Key Laboratory of Robotics, Shenyang ...
ABSTRACT: This research focuses on the possibility of utilizing generative AI in developing learning content to suit each learner’s requirements. The study will evaluate the outcomes of the use of ...
The image sensor of a mirrorless camera provides a live feed to allow composition, focus, and exposure to happen before the shutter is released. This necessitates the sensor to be uncovered much of ...
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