Scientific Research Publishing

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case Study of Guangzhou South Railway Station ()

Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
Frontiers

The Impact of Physical Exercise on Adolescent Psychological Resilience: An Empirical Analysis Based on Deep Neural Networks

The final, formatted version of the article will be published soon. Objective:The junior high school years represent a crucial period in adolescents' physical and psychological development, during ...
IEEE

Applying Deep Learning and Heatmap Techniques for Sinusitis Diagnosis Using Enhanced 3-D Image Segmentation

Abstract: Sinusitis, characterized by inflammation of the sinus cavities, presents diagnostic challenges due to the subjective and time-consuming nature of manual computed tomography (CT) scan ...
IEEE

Optimizing Access Point Placement in Industrial IoT: A Deep Reinforcement Learning Approach With Q-Learning Verification and Signal Heatmap Visualization

Abstract: Optimal access point (AP) placement inside an industrial layout is important to ensure excellent connectivity. However, wireless fidelity (Wi-Fi) AP placement is complicated because ...
Hosted on MSN

Heat's valuable lesson they're learning through recent tough stretch

The painful descent back to pack is in full swing for the Miami Heat, and there do not seem to be any intermediate answers as to how to stop the slide. Miami beat Brooklyn on Thursday to stop a ...
CNN

Scientists used specialized equipment to dive into the ocean’s ‘twilight zone.’ They found creatures never seen before

Only a scattering of light penetrates the deep water, more than 300 feet beneath the ocean surface off the coast of Guam. It’s like twilight to the human eye, even in the middle of the day. This part ...
TechSpot

Machine learning just helped researchers create the biggest 3D map of buildings around the world

Connecting the dots: By applying machine learning techniques to satellite imagery, researchers have built an unprecedented database of man-made structures across the globe. The data could reshape ...