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ORCIDICCDA 2019: Kahului, HI, USA
- Proceedings of the 3rd International Conference on Compute and Data Analysis, ICCDA 2019, Kahului, HI, USA, March 14-17, 2019. ACM 2019, ISBN 978-1-4503-6634-2
Machine learning and application
- Xiaoyu Sun, Maocheng Yuan, Jinhua Feng:
Modeling of the Return and Risks of Investments Using Different Trading Strategies. 1-5 - Boyu Ao, Jiachang Ren, Chen Guo:
Impact of Image Corruptions on the Reliability of Traffic Sign Recognition Using Machine Learning Technique. 6-8 - Kezheng Xiang, Jun Ye, Boning Xing:
Applying Machine Learning to Facilitate Personalized Medicine in Lung Adenocarcinoma. 9-12 - Yile Ao
, Hongqi Li, Liping Zhu, Sikandar Ali, Zhongguo Yang:
A Hybrid Approach to Integrate Multi-source Geophysical Data for Inter-well Formation Property Estimations. 13-19 - Maha F. Sabir, James H. Jones, Hang Liu, Alex V. Mbaziira:
Using Machine Learning to Predict Stealthy Watermarks in Files During Cyber Crime Investigations. 20-25 - Zhengmin Li, Zhaoxin Zhang, Xinran Liu, Chunge Zhu:
Anomaly Detection for Container Cluster based on JointCloud Platform. 26-30 - Rob McKay, Brian Pendleton, James Britt, Ben Nakhavanit:
Machine Learning Algorithms on Botnet Traffic: Ensemble and Simple Algorithms. 31-35
Data analysis and processing
- Aaron Campbell, Kyle A. Caudle, Randy C. Hoover:
Examining Intermediate Data Reduction Algorithms for use with t-SNE. 36-42 - Atsuki Tanaka, Michiko Tsubaki, Taro Isobe:
Automation of Analytical System for Measuring Service Effectiveness by Customer Type. 43-48 - Zihao Wang, Youli Qu, Junru Tao, Yudan Song:
Image-Mediated Data Augmentation for Low-Resource Human Activity Recognition. 49-54 - Raymond Blanch Mbah, Manjeet Rege, Bhabani Misra:
Using Spark and Scala for Discovering Latent Trends in Job Markets. 55-62 - Ying Li, Zhilin Zhao, Fang Cheng:
Tractor Manufacturing Quality Data Acquisition, Analysis and Utilization. 63-67 - Sraddhanjali Acharya, Richard Matovu, Abdul Serwadda, Isaac Griswold-Steiner:
Gamification of Wearable Data Collection: A Tool for both Friend and Foe. 68-77
Data calculation and prediction
- Kyle A. Caudle, Larry D. Pyeatt, Anthony Morast, Christer Karlsson, Randy C. Hoover:
Building a Better Decision Tree by Delaying the Split Decision. 78-83 - Xiangyu Kong, Fan Liu, Dali Chen:
The Application of Time Series Method in Predicting the Number of Urban Management Cases. 84-87 - Silvia Bravo, Ángel H. Moreno:
Prediction Model Based on Neural Networks for Microwave Drying Process of Amaranth Seeds. 88-93 - Hong Yu, Yueqi Pan, Chang Zhou:
Domain Adaptation Approach for Sentiment Analysis. 94-97 - Mengjiao Wang, Yujing Wang:
Evaluating the Effectiveness of Candlestick Analysis in Forecasting U.S. Stock Market. 98-101 - Kotaro Kawasaki, Michiko Tsubaki, Shintaro Hei:
Transition Structure Analysis by Type of Students based on their Awareness and Behavior Affecting Current Job Performance. 102-108 - Kyle A. Caudle, Patrick Fleming, Larry D. Pyeatt, Randy C. Hoover:
Flow Field Forecasting with Many Predictors. 109-115 - Polly Wainwright, Houssain Kettani:
An Analysis of Botnet Models. 116-121 - David Bergmann, Gregor Fuhs, Christina Klüver:
Proactive Document Distribution with a Self-Enforcing Network. 122-127
Image and signal processing
- Joel Kamdem Teto, Ying Xie:
Automatically Identifying of animals in the wilderness: Comparative studies between CNN and C-Capsule Network. 128-133 - Jin Woo Oh, Jongpil Jeong:
Convolutional Neural Network and 2-D Image Based Fault Diagnosis of Bearing without Retraining. 134-138 - Qing Lyu, Xingjian Lu:
Effective Media Traffic Classification Using Deep Learning. 139-146 - Ping Wang, Lu Kong, Yizhe Shi:
A Low-Complexity Minimum Variance Algorithm Combined with Eigenvalue Decomposition for Ultrasound Imaging. 147-151 - Mahmood Qureshi, Omair Inam:
An Adaptive SVD based De-Noising Filtering Scheme for parallel MRI. 152-156
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