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Innoviz and HiRain Technologies Deploy InnovizOne Across Shipping Ports in China

Innoviz and HiRain Technologies Deploy InnovizOne Across Shipping Ports in China
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Omer Keilaf , Hirain Convolutional Neural Network , Innoviz Technologies , Hirain Technologies , Convolutional Neural Network , Chengjian Fan , Beijing Jingwei Hirain ,

Innoviz Technologies: Innoviz and HiRain Technologies Deploy InnovizOne Across Shipping Ports in China

HiRain's Convolutional Neural Network (CNN) solution using InnovizOne LiDAR unlocks operational efficiency and port safety TEL AVIV, Israel and BEIJING, Sept. 6, 2022 /PRNewswire/ Innoviz ....

Omer Keilaf , Maya Lustig , Hirain Convolutional Neural Network , Convolutional Neural Network , Drain Technologies , Chengjian Fan ,

Innoviz Technologies deploying LiDAR sensors in Chinese ports

The first deployment with strategic partner HiRain Technologies started in RiZhao port, with both parties planning to expand the project to additional ports, including on HiRain’s autonomous trucks and AGVs ....

Omer Keilaf , Hirain Convolutional Neural Network , Innoviz Technologies , Hirain Technologies , Convolutional Neural Network , David Garb , Chengjian Fan , Tel Aviv , Middle East , West Bank , Ww Ynet Co Il ,

"Spectrum Sensing Using CNN with Attention on Switch of Channel States" by Zhan Cong, Ming Jin et al.

This work addresses the issue of spectrum sensing with random arrival and departure of primary signals. We first design a convolutional neural network (CNN) with outputs as the posterior probabilities of the arrival and departure of primary signals, leading to a CNN-based detector with the ratio of the posterior probabilities (i.e., the outputs of the CNN) as a test statistic. To further enhance the attention of the network on the switch feature of channel states, we design a switch attention module (SAM) that adaptively weights the received signals. Replacing the convolution plus maximum pooling block in the CNN detector with the SAM block leads to an SAM-CNN detector. Simulations show that the proposed CNN detector significantly outperforms existing detectors, and further improvement of detection probability by 19% is achieved by the SAM-CNN detector. ....

Convolutional Neural Network , Convolutional Neural Networks , Andom Arrival And Departure , Signal To Noise Ratio , Pectrum Sensing , Witch Attention Module ,

Deep Learning for Image Classification in Python with CNN

[img]https://i120.fastpic.org/big/2022/0905/91/71854e8a8e29e285443285a47cabb091.jpg[/img] [b]Deep Learning for Image Classification in Python with CNN[/b] Published 09/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 37 lectures (1h 7m. ....

United States , Google Colab , Convolutional Neural Networks Cnns , Convolutional Neural Network , Image Classification , Neural Networks , Computer Vision With Keras , Convolutional Neural Networks , Image Processing Engineer ,