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Publication search results
found 250 matches
- 2024
- Cheng-Jian Lin
, Xue-Qian Lin
, Jyun-Yu Jhang
:
Adversarial-Learning-Based Taguchi Convolutional Fuzzy Neural Classifier for Images of Lung Cancer. IEEE Access 12: 72766-72776 (2024) - Chih-Lung Lin
, Chia-Lun Lee
, Cheng-Han Ke
, Po-Cheng Lai
, Chung-Tien Chiu, Yu-Chang Chiu, Chia-Wei Kuo
:
Lifetime Optimization of Optical Sensing System With Highly Reliable a-Si:H TFT-Based Optical Sensor and Driver Circuit in Large AMLCDs. IEEE Access 12: 78122-78131 (2024) - Pey-Yu Chen
, Ta-Wei Yang
, Yi-Shan Tseng, Cheng-Yu Tsai
, Chiung-Szu Yeh, Yen-Hui Lee, Pei-Hsuan Lin, Ting-Chun Lin, Yu-Jen Wu, Ting-Hua Yang, Yu-Ting Chiang
, Jacob Shujui Hsu
, Chuan-Jen Hsu
, Pei-Lung Chen, Cheng-Fu Chou
, Chen-Chi Wu
:
Machine learning-based longitudinal prediction for GJB2-related sensorineural hearing loss. Comput. Biol. Medicine 176: 108597 (2024) - Yexin Lai, Xueyu Liu
, Linning E, Yujing Cheng, Shuyan Liu, Yongfei Wu, Wen Zheng:
Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease. Expert Syst. Appl. 253: 124270 (2024) - Sung-Tai Wei, Chien-Yu Li, Chih-Lung Lin, Yi-Chi Huang, Jui-Chi Chen, Zhen-You Lian, Cheng-Hung Chuang:
Measurement of Automatic Segmented Specific Lumbar Intervertebral Discs. J. Inf. Sci. Eng. 40(3): 495-505 (2024) - Wen-Sheng Feng, Wei-Cheng Chen
, Jiun-Yi Lin, How-Yang Tseng, Chieh-Lung Chen, Ching-Yao Chou, Der-Yang Cho, Yi-Bing Lin:
Design and Implementation of an Intensive Care Unit Command Center for Medical Data Fusion. Sensors 24(12): 3929 (2024) - Jyun-An Lin, Yun-Chien Cheng, Ching-Kai Lin:
Towards Enhanced Analysis of Lung Cancer Lesions in EBUS-TBNA - A Semi-Supervised Video Object Detection Method. CoRR abs/2404.01929 (2024) - Ching-Kai Lin, Di-Chun Wei, Yun-Chien Cheng:
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures. CoRR abs/2404.06080 (2024) - 2023
- Ching-Hsue Cheng
, Zheng-Ting Ji:
A weighted-link graph neural network for lung cancer knowledge classification. Appl. Intell. 53(14): 17610-17628 (2023) - Fu-Shun Hsu, Shang-Ran Huang
, Chang-Fu Su, Chien-Wen Huang, Yuan-Ren Cheng, Chun-Chieh Chen
, Chun-Yu Wu, Chung-Wei Chen
, Yen-Chun Lai, Tang-Wei Cheng, Nian-Jhen Lin, Wan-Ling Tsai
, Ching-Shiang Lu, Chuan Chen
, Feipei Lai:
A dual-purpose deep learning model for auscultated lung and tracheal sound analysis based on mixed set training. Biomed. Signal Process. Control. 86(Part B): 105222 (2023) - Shih-Jie Pan, Kun-Chuan Lee, Meng-Lin Tsai, Cheng-Liang Chen, Heng-Shan Kao, Jeffrey D. Ward, I-Lung Chien
, Hao-Yeh Lee
:
Improved yellowness index (YI) control in ABS compounding process through virtual control using an RNN-based neural network soft-sensor model. Comput. Chem. Eng. 179: 108443 (2023) - Zhengyun Feng, Huan Lin
, Zaiyi Liu, Lixu Yan, Yumeng Wang, Bingbing Li
, Entao Liu
, Chu Han
, Zhenwei Shi
, Cheng Lu
, Zhenbing Liu, Cheng Pang, Zhenhui Li
, Yanfen Cui, Xipeng Pan
, Xin Chen
:
Artificial intelligence-quantified tumour-lymphocyte spatial interaction predicts disease-free survival in resected lung adenocarcinoma: A graph-based, multicentre study. Comput. Methods Programs Biomed. 238: 107617 (2023) - Hsuan-Cheng Sun
, Tse-Yu Lin, Yen-Lung Tsai:
Performance prediction in major league baseball by long short-term memory networks. Int. J. Data Sci. Anal. 15(1): 93-104 (2023) - Cheng-Jian Lin, Tang-Yun Yang:
A Fusion-Based Convolutional Fuzzy Neural Network for Lung Cancer Classification. Int. J. Fuzzy Syst. 25(2): 451-467 (2023) - Yu-Ming Zhang
, Chia-Yuan Cheng, Chih-Lung Lin
, Chun-Chieh Lee, Kuo-Chin Fan:
Develop a Lightweight Convolutional Neural Network to Recognize Palms Using 3D Point Clouds. Inf. 14(7): 381 (2023) - Jiun-Da Lin, Yue-Hua Han
, Po-Han Huang, Julianne Tan, Jun-Cheng Chen, Muhammad Tanveer, Kai-Lung Hua
:
DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing. Neural Networks 161: 83-91 (2023) - Chih-Lung Lin, Po-Cheng Lai, Jui-Hung Chang, Yi-Chien Chen, Po-Chun Lai, Li-Wei Shih:
Reducing Leakage Current Using LTPS-TFT Pixel Circuit in AMOLED Smartwatch Displays. IEEE Trans. Ind. Electron. 70(8): 8588-8597 (2023) - Lintai Wu
, Yong Xu
, Junhui Hou
, C. L. Philip Chen
, Cheng-Lin Liu
:
A Two-Level Rectification Attention Network for Scene Text Recognition. IEEE Trans. Multim. 25: 2404-2414 (2023) - Hsiao-Lung Chan, Ya-Ju Chang, Rou-Shayn Chen, Cheng-Chung Kuo, Yi-Tao Chen, Jiunn-Woei Liaw, Guo-Sheng Liao, Wan-Ting Lin:
Laser-light Visual Cueing Shoes with Foot Pressures and Inertial Sensing for Individuals with Parkinson's Disease. EMBC 2023: 1-4 - Cheng-Yi Huang, Yuan-Hao Ho, Yu-Chi Hsiung, Peng-Ting Chen, Pi-Shan Sung, Chih-Lung Lin:
Efficient Fall Detection Method Using Time-of-Flight Sensors and Decision Tree Model. GCCE 2023: 208-209 - Shih-Xiu Huang, An Lung, Jia-You Chen, Wu-Min Sung, Yu-Cheng Chu, Jiun-Yu Tu, Chih-Lin Hu:
Multi-Hop Data Delivery in Hybrid Self-Organized Networks for Mountain Rescue. GCCE 2023: 117-118 - Chi-Mao Hung, Shu-Cheng Liu, Hsiao-Lung Cheng, Pei-Lin Tien, Wen-Chung Kao:
Design of Timing Controller of Electronic Paper with Frame Buffer Reduction. ICCE-Taiwan 2023: 703-704 - Hsin-Yi Lu, Yang-Cheng Lin, Chia-Hsin Chen, Chih-Chung Wang, Ia-Wen Han, Wen-Lung Liang:
Detecting Children with Autism Spectrum Disorder Based on Eye-tracking and Machine Learning. ICKII 2023: 372-375 - Lin Guo
, Kunlei Hong, Qian Xiao, Lingjun Qian, Stefan Jaeger, Bin Zheng, Shenwen Quan, Li Xia
, Guanxun Cheng, Y. M. Fleming Lure:
Developing and assessing an AI-based multi-task prediction system to assist radiologists detecting lung diseases in reading chest x-ray images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2023 - Kai-Chieh Chang, Chia-Ling Tsai, Wei-Chih Cheng, Zon, Chun-Nien Liu, Tien-Tsorng Shih, Sheng-Lung Huang, Charles W. Tu, Wood-Hi Cheng:
Record Gain of 18-dB for Broadband Single-Model Cr-Doped Crystalline Core Fiber by Small Core Diameter. OFC 2023: 1-3 - Chao-Yi Chen, Kao-Yuan Tien, Yuan-Hao Cheng, Lung-Hao Lee:
NCUEE-NLP at SemEval-2023 Task 7: Ensemble Biomedical LinkBERT Transformers in Multi-evidence Natural Language Inference for Clinical Trial Data. SemEval@ACL 2023: 776-781 - Simon Widmer, Syed Shaukat, Cheng-Lung Wu:
Aircraft Line Maintenance Scheduling Using Simulation and Reinforcement Learning. WSC 2023: 600-611 - Yu-Jia An, Sheng-Chen Bai, Lin Cheng, Xiao-Guang Li, Cheng-en Wang, Xiao-Dong Han, Gang Su, Shi-Ju Ran, Cong Wang:
Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning. CoRR abs/2303.06340 (2023) - Ching-Kai Lin, Chin-Wen Chen, Yun-Chien Cheng:
Using Spatio-Temporal Dual-Stream Network with Self-Supervised Learning for Lung Tumor Classification on Radial Probe Endobronchial Ultrasound Video. CoRR abs/2305.02719 (2023) - Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann
, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley
, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023)
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