不容置疑
发表于 2025-3-28 18:01:21
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ingenue
发表于 2025-3-28 19:07:58
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粘连
发表于 2025-3-28 23:35:11
Estimating Crowd Size for Public Place Surveillance Using Deep Learningbanks, political rallies, religious events etc. The risk of any abnormal behavior or any security concern arises with the number of people in the crowd. Most of the public places are overcrowded and require crowd count monitoring to avoid any mishappening. It is impossible to appoint personnel at di
gimmick
发表于 2025-3-29 06:29:59
IoT Based Regional Speed Restriction Using Smart Sign Boardss also gets declined while moving at higher pace, which causes judgment mistakes and leads to a crash. Around 30% of road accidents are due to over speeding. There have been various ways to avoid accidents due to over speeding, but none of them can automatically control the speed and customize the r
endarterectomy
发表于 2025-3-29 07:19:02
Synergy of Internet of Things with Cloud, Artificial Intelligence and Blockchain for Empowering Autoeal world Scenario to intelligent virtual form. The term Internet of Things is coined from two phrases such as Internet and Thing which states that the physical objects such as computing devices acts through the network of connection. This technological ecosystem allows the object or thing to collec
V洗浴
发表于 2025-3-29 12:28:04
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Missile
发表于 2025-3-29 19:38:59
Athanasios Karapantelakis,Yonghui Guog is the improper management of land resources, which leads to a great shortage in parking space causing chaos in our daily lives. Parking is one of the biggest challenges that we need to tackle in the years to come. Using smart parking, there is proper utilization of the parking space and makes the experience pleasant.
CARE
发表于 2025-3-29 23:43:08
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pessimism
发表于 2025-3-30 00:24:06
Enhanced End-to-End System for Autonomous Driving Using Deep Convolutional Networkson, is a facilitated version of an autonomous steering system over just considering a single-blind end-to-end architecture. The benefits of proposing such an algorithm for the makeover of existing cars include reduced costs, increased safety, and increased mobility.
epicardium
发表于 2025-3-30 05:44:55
Deep Learning Technologies to Mitigate Deer-Vehicle Collisionsoses an intelligent deer detection system using computer vision and deep learning techniques. It warns the driver to avoid collision with deer. The generated deer detection model achieves 99.3% mean average precision (mAP@0.5) and 78.4% mAP@0.95 at 30 frames per second on the test dataset.