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ICMLC 2022: Japan
- International Conference on Machine Learning and Cybernetics, ICMLC 2022, Japan, September 9-11, 2022. IEEE 2022, ISBN 978-1-6654-8832-7
- Sumindar Kaur Saini, Mankaran Singh Ghumman:
Automated Traffic Management System Using Deep Learning Based Object Detection. 1-5 - Rung-Ching Chen, William Eric Manongga, Christine Dewi, Hung-Yi Chen:
Automatic Digit Hand Sign Detection With Hand Landmark. 6-11 - Xiaojian Weng, Xudong Lin, Shuaibin Zhao:
Stock Price Prediction Based On Lstm And Bert. 12-17 - Shuaibin Zhao, Xudong Lin, Xiaojian Weng:
A Method for Forecasting The Pork Price Based on Fluctuation Forecasting and Attention Mechanism. 18-24 - Koki Takenaka, Tatsuhito Hasegawa:
Unsupervised Representation Learning Method In Sensor Based Human Activity Recognition. 25-30 - Da Meng, Yali Zheng:
Circuit Partitioning for PCB Netlist Based on Net Attributes. 31-36 - Teru Nagamori, Ryota Iijima, Hitoshi Kiya:
An Access Control Method with Secret Key for Semantic Segmentation Models. 37-42 - Yu-Xuan Luo, Yi Ji:
Prediction of the Stock Adjusted Closing Price Based On Improved PSO-LSTM Neural Network. 43-48 - Xinshun Ma, Qi An:
Solution to Robust Two-Stage Stochastic Convex Programming Using Subgradient Method. 49-54 - Kentaro Mori, Yutaka Tange:
Non-Invasive Deep Temperature Measurement Based on the Long Short Term Memory for Hyperthermia Therapy. 55-60 - Xin Cheng, Meiqi Wang, Yu-Bo Shi, Jun Lin, Zhongfeng Wang:
Magical-Decomposition: Winning Both Adversarial Robustness and Efficiency on Hardware. 61-66 - Zhongkai Zhao, Tatsuhito Hasegawa:
Domain-Robust Pre-Training Method for the Sensor-Based Human Activity Recognition. 67-71 - Yifan Zhang, Qian Shen, Jian Guo, Yiwen Jia:
Portfolio Trading of Financial Products Based on Machine Learning. 72-79 - Pakamas Kanchanakantikul, Supakit Nootyaskool:
Gold Investment Model on RNN and Finding Best Investment Strategy on PSO. 80-85 - Tatsuya Chuman, Hitoshi Kiya:
Security Evaluation of Compressible Image Encryption for Privacy-Preserving Image Classification Against Ciphertext-Only Attacks. 86-90 - Youpeng Yang, Sanhgyuk Lee, Haolan Zhang, Witold Pedrycz:
Negative Hesitation Soft Fuzzy Sets and its Application on Decision Making Problems. 91-96 - Yuxin Ding, Huang Ningxin, Wenting Xu:
A Dynamic Immune Strategy for Blocking the Spreading of Worms in Vanets. 97-102 - Farchan Hakim Raswa, Indra Yusuf Kinarta, Reza Pulungan, Agus Harjoko, Chung-Ting Lee, Yung-Hui Li, Jia-Ching Wang:
Fingerprint Liveness Detection Using Denoised-Bayes Shrink Wavelet and Aggregated Local Spatial and Frequency Features. 103-108 - Kazunori Oka, Anas Ali, Daisuke Fujita, Syoji Kobashi:
Tooth Recognition in X-Ray Dental Panoramic Images with Prosthetic Detection. 109-114 - Chin-Shyurng Fahn, Tzu-Chin Wu:
A Deep-Neural-Network-Based Approach To Detecting Forgery Images Generated From Various Generative Adversarial Networks. 115-123 - Yuki Kitahara, Masaki Nakamura, Kazutoshi Sakakibara:
An Investigation of Formal Verification of Control Policy of Multi-Car Elevator Systems Using Statistical Model Checking. 118-193 - Meng-Luen Wu, Chen Lin, Po-Cheng Yu:
On The Development of a Legal Penalty Prediction System for Drunk Driving Cases. 124-129 - H. Perry Fordson, Katherine Gardhouse, Nicholas Cicero, Junichi Chikazoe, Adam K. Anderson, Eve DeRosa:
A Novel Deep Learning Based Emotion Recognition Approach to well Being from Fingertip Blood Volume Pulse. 130-137 - Xupeng Shi, A. Adam Ding:
Understanding and Quantifying Adversarial Examples Existence in Linear Classification. 138-143 - Adir Rahamim, Itay Naeh:
Robustness through Cognitive Dissociation Mitigation in Contrastive Adversarial Training. 144-151 - Mitra Alirezaei, Tolga Tasdizen:
Adversarial Robust Classification by Conditional Generative Model Inversion. 152-158 - Ryota Iijima, Hitoshi Kiya:
An Encryption Method of Convmixer Models without Performance Degradation. 159-164 - Rung-Ching Chen, Wan-I Yang, Kuei-Chien Chiu:
Transfer Learning and LSTM to Predict Stock Price. 165-169 - Rung-Ching Chen, Yong-Cun Zhuang, Jeang-Kuo Chen, Christine Dewi:
Deep Learning for Automatic Road Marking Detection with Yolov5. 170-174 - Chun-Ming Tsai, Frank Y. Shih, Jun-Wei Hsieh:
Real-Time Vehicle Counting by Deep-Learning Networks. 175-181 - Taichi Haba, Gaochao Cui, Hideaki Touyama:
Estimation of Stimulus Time and Average Attention State Based on Collective Addition of Event-Related Electroencephalography. 182-187 - Yuichi Sato, Kosuke Nagano, Fumiya Kinoshita, Hideaki Touyama:
A Study of Breath Alcohol Concentration Fluctuations and Cognitive Decline Due to Low-Impact Drinking. 194-199 - Yoshiki Asami, Tatsuo Motoyoshi, Kei Sawai, Hiroyuki Masuta, Noboru Takagi:
Examination of Analysis Methods for E-Learning System Grade Data Using Formal Concept Analysis. 200-203 - Naomi Yagi, Yutaka Hata, Yoshitada Sakai:
Investigation of Inspection Methods in Acoustic Analysis Using Pronunciation Feature Extraction. 204-208 - Shogo Kotani, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuo Motoyoshi, Keisuke Hoshikawa:
Toward Prediction of Traffic Accidents Using Formal Concept Analysis of Actual Accidents and Related Data. 209-214 - Yuma Iwabuchi, Tatsuo Motoyoshi, Noboru Takagi, Hiroyuki Masuta, Kei Sawai:
Improvement and Evaluation of Object Shape Presentation System Using Linear Actuators. 215-219 - Shinnosuke Yoshiiwa, Hironobu Takano, Keisuke Ido, Ken-ichi Morishige:
Estimation Of Cortical Currents From Eeg Signals During N-Back Working Memory Tasks. 220-224 - Hiroto Nakanishi, Noboru Takagi, Kei Sawai, Hiroyuki Masuta, Tatsuo Motoyoshi:
Development of a New Graphic Description Language for Line Drawings - Assuming the Use of the Visually Impaired. 225-230 - Shodai Ito, Noboru Takagi, Kei Sawai, Hiroyuki Masuta, Tatsuo Motoyoshi:
Fast Semantic Segmentation for Vectorization of Line Drawings Based on Deep Neural Networks. 231-236 - Kodai Suzuki, Kazutoshi Sakakibara, Masaki Nakamura, Suguru Shinoda, Yasuhisa Asano:
Machine Learning for Protein Solubility Prediction. 237-241 - Jin Matsuzaki, Kazutoshi Sakakibara, Masaki Nakamura:
The MIP-Based Large Neighborhood Local Search Method for Large-Scale Optimization Problems with Many Constraints: Application to the Machining Scheduling. 242-247 - Tomoaki Hirose, Kazuma Yamaguchi, Hironobu Takano:
Recognition Performance of Facial Expression for the Face's Partial Regions. 248-253 - Kohei Hayashi, Naomi Yagi, Yutaka Hata, Yoshiaki Saji, Yoshitada Sakai:
Time Series Knee Joint Angle Analysis During Gait for Patients with Down Syndrome by 3d Pose Estimation. 254-258 - Takumi Ueyama, Yohei Kumabe, Keisuke Oe, Tomoaki Fukui, Takahiro Niikura, Ryosuke Kuroda, Masakazu Morimoto, Naomi Yagi, Yutaka Hata:
Simulation Of Bone Fracture Healing Process Using Ultrasound And BMD Data. 259-264 - Yanqin Xie, Kouki Nagamune:
Measurement of Cardiothoracic Ratio and Detection of Cardiomegaly in X-Ray Images Using Deep Learning. 265-270 - Kensuke Shigenaga, Kouki Nagamune:
A Development of Kohs Block Design Test in Virtual Reality with Eye Tracking and Hand Tracking. 271-275 - Taisei Hiramoto, Tomoyuki Araki, Takashi Suzuki:
Infrared Guided White Cane for Assisting the Visually Impaired to Walk Alone. 276-280 - Yudai Ishikawa, Kazuyoshi Tagawa, Hideaki Touyama:
Alternative Methods of Translational Gains by Viewpoint Manipulation in the Pitch Direction. 281-286
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