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Results 1-10 of 12 (Search time: 0.003 seconds).

NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
1
Deep Cooperative Sensing: Cooperative Spectrum Sensing Based on Convolutional Neural Networks

Lee, Woongsup; Minhoe Kim; Cho, Dong-Ho, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.68, no.3, pp.3005 - 3009, 2019-03

2
A Deep Learning-Based Automatic Mosquito Sensing and Control System for Urban Mosquito Habitats

Kim, Kyukwang; Hyun, Jieum; Kim, Hyeongkeun; Lim, Hwijoon; Myung, Hyun, SENSORS, v.19, no.12, pp.2785, 2019-06

3
A Real-Time Convolutional Neural Network for Super-Resolution on FPGA with Applications to 4K UHD 60 fps Video Services

Kim, Yongwoo; Choi, Jae Seok; Kim, Munchurl, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.29, no.8, pp.2521 - 2534, 2019-08

4
Vision-Based Real-Time Obstacle Segmentation Algorithm for Autonomous Surface Vehicle

Kim, Hanguen; Koo, Jungmo; Kim, Donghoon; Park, Byeolteo; Jo, Yonggil; Myung, Hyun; Lee, Donghwa, IEEE ACCESS, v.7, pp.179420 - 179428, 2019-12

5
ConvAE: A New Channel Autoencoder Based on Convolutional Layers and Residual Connections

Ji, Dong Jin; Park, Jinsol; Cho, Dong-Ho, IEEE COMMUNICATIONS LETTERS, v.23, no.10, pp.1769 - 1772, 2019-10

6
UNPU: An Energy-Efficient Deep Neural Network Accelerator With Fully Variable Weight Bit Precision

Lee, Jinmook; Kim, Changhyeon; Kang, Sanghoon; Shin, Dongjoo; Sangyeob Kim; Yoo, Hoi-Jun, IEEE JOURNAL OF SOLID-STATE CIRCUITS, v.54, no.1, pp.1 - 13, 2019-01

7
Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study

Kwon, Soonil; Hong, Joonki; Choi, Eue-Keun; Lee, Euijae; Hostallero, David Earl; Kang, Wan Ju; Lee, Byunghwan; Jeong, Eui-Rim; Koo, Bon-Kwon; Oh, Seil; Yi, Yung, JMIR MHEALTH AND UHEALTH, v.7, no.6, 2019-06

8
RAPIDO: a rejuvenating adaptive PID-type optimiser for deep neural networks

Kim, S; Park, DJ; Chang, Dong Eui, ELECTRONICS LETTERS, v.55, no.16, pp.899 - 901, 2019-08

9
Multi-Objective based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition

Kim, Dae Hoe; Baddar, Wissam J.; Jang, Jinhyeok; Ro, Yong Man, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, v.10, no.2, pp.223 - 236, 2019-04

10
VRSA Net: VR Sickness Assessment considering Exceptional Motion for 360-degree VR Video

Kim, Hak Gu; Lim, Heoun-taek; Lee, Sangmin; Ro, Yong Man, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.28, no.4, pp.1646 - 1660, 2019-04

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