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ORCIDBig Data, Volume 11
Volume 11, Number 1, February 2023
- An Chi Huang, Chun Yuan, Sheng Hui Meng
, Tian Jiun Huang:
Design of Fatigue Driving Behavior Detection Based on Circle Hough Transform. 1-17 - Hongchun Qu, Yangqi Zheng, Lin Li, Fei Guo:
An Unsupervised Feature Extraction Approach Based on Self-Expression. 18-34 - Dao Nam Anh, Viet Bach Dao:
Classifying of VN-Index Bullishness by Bayesian Inference. 35-47 - Basant Agarwal, Mukesh Kumar Gupta, Harish Sharma, Ramesh Chandra Poonia:
Siamese-Based Architecture for Cross-Lingual Plagiarism Detection in English-Hindi Language Pairs. 48-58 - Gang Liu, Xiaofeng Li, Wangyang Liu:
Indirect Category Data Transfer Learning Algorithm using Regularization Discrimination. 59-70 - Acknowledgment of Reviewers 2022. 71-73
Volume 11, Number 2, April 2023
- Michael Crawford, Francisca Flores, Marynia Kolak, Amy Hawn Nelson, Malaika Simmons:
Importance of Community Engagement in Data Decision Making. 75-86 - Fuzhong Nian, Yinuo Qian, Yabing Yao:
Identification of Potential Cooperation Relationships Among Scientists. 87-104 - Eren Bas, Erol Egrioglu, Ufuk Yolcu, Mu-Yen Chen:
A Robust Learning Algorithm Based on Particle Swarm Optimization for Pi-Sigma Artificial Neural Networks. 105-116 - Jia Ren, Xu Wang, Guangfu Li:
Bayesian Method for Water Quality Emergency Monitoring in Environmental Pollution Accident Disposal. 117-127 - Azath Mubarakali, Anand Deva Durai, Mohammed Alshehri, Osama Alfarraj, Jayabrabu Ramakrishnan, Dinesh Mavaluru:
Fog-Based Delay-Sensitive Data Transmission Algorithm for Data Forwarding and Storage in Cloud Environment for Multimedia Applications. 128-136 - Sayar Singh Shekhawat, Harish Sharma, Sandeep Kumar:
Memetic Spider Monkey Optimization for Spam Review Detection Problem. 137-149
Volume 11, Number 3, June 2023
- Lingxiao Zhao, Leman Akoglu:
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. 151-180 - Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl:
Structured Verification of Machine Learning Models in Industrial Settings. 181-198 - Hamidreza Ahady Dolatsara, Ying-Ju Chen, Robert D. Leonard, Fadel M. Megahed, L. Allison Jones-Farmer:
Explaining Predictive Model Performance: An Experimental Study of Data Preparation and Model Choice. 199-214 - Nazish Zulfiqar, Adil Masood Siddiqui, Awais Ahmad, Mian Muhammad Waseem Iqbal, Muhammad Imran, Imran Tauqir, Wajiha Munir:
An Improved Multiexposure Image Fusion Technique. 215-224 - Thi Ngoc Anh Nguyen, Vu Hoai Thu, Dang Minh Tuan, Dohyeun Kim, Anh-Ngoc Le:
Anomaly Detection in Automatic Meter Intelligence System Using Positive Unlabeled Learning and Multiple Symbolic Aggregate Approximation. 225-238 - Claudio A. Ardagna, Nicola Bena, Cédric Hébert, Maria Krotsiani, Christos Kloukinas, George Spanoudakis:
Big Data Assurance: An Approach Based on Service-Level Agreements. 239-254
Volume 11, Number 4, August 2023
- Lin Tian, Jueshuai Li, Yanfei Li:
Analysis of Driving Fatigue Characteristics in Cold and Hypoxia Environment of High-Altitude Areas. 255-267 - Shengbin Liang, Jiangyong Jin, Jia Ren, Wencai Du, Shenming Qu:
An Improved Dual-Channel Deep Q-Network Model for Tourism Recommendation. 268-281 - Idan Weiss, Dan Vilenchik:
Predicting Churn in Online Games by Quantifying Diversity of Engagement. 282-295 - Panfeng Liu, Longjie Li, Yanhong Wen, Shiyu Fang:
Identifying Influential Nodes in Social Networks: Exploiting Self-Voting Mechanism. 296-306 - Anmol Gupta, Ronnie Daniel, Akash K. Rao, Partha Pratim Roy, Sushil Chandra, Byung-Gyu Kim:
Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning. 307-319 - Correction to: An Improved Multiexposure Image Fusion Technique by Nazish, et al. Big Data 2023;11(3):215-224; doi: 10.1089/big.2021.0223. 320
Volume 11, Number 5, October 2023
- Chinmay Chakraborty, Muhammad Khurram Khan:
Big Data-Driven Futuristic Fabric System in Societal Digital Transformation. 321-322 - Aisha Batool, Muhammad Wasif Nisar, Jamal Hussain Shah, Muhammad Attique Khan, Ahmed A. Abd El-Latif:
iELMNet: Integrating Novel Improved Extreme Learning Machine and Convolutional Neural Network Model for Traffic Sign Detection. 323-338 - Afzal Badshah, Ateeqa Jalal, Umar Farooq, Ghani Ur Rehman, Shahab S. Band, Celestine Iwendi:
Service Level Agreement Monitoring as a Service: An Independent Monitoring Service for Service Level Agreements in Clouds. 339-354 - Jiabing Xu, Jiarui Liu, Tianen Yao, Yang Li:
Prediction and Big Data Impact Analysis of Telecom Churn by Backpropagation Neural Network Algorithm from the Perspective of Business Model. 355-368 - Chen Tao:
Applications of Bayesian Neural Networks in Outlier Detection. 369-386 - Guowei Zhang, Weilan Wang, Ce Zhang, Penghai Zhao, Mingkai Zhang:
HUTNet: An Efficient Convolutional Neural Network for Handwritten Uchen Tibetan Character Recognition. 387-398
Volume 11, Number 6, December 2023
- Megan Schröder, Sam H. A. Muller, Eleni Vradi, Johanna Mielke, Yvonne M. F. Lim, Fabrice Couvelard, Menno Mostert, Stefan Koudstaal, Marinus J. C. Eijkemans, Christoph Gerlinger:
Sharing Medical Big Data While Preserving Patient Confidentiality in Innovative Medicines Initiative: A Summary and Case Report from BigData@Heart. 399-407 - Sukumar Rajendran, Ramesh Kumar Panneerselvam, Kumar Purushothaman Janaki, Vijay Anand Rajasekaran, Suganya Pandy, Sandeep Kumar Mathivanan, Prabhu Jayagopal:
Prescreening and Triage of COVID-19 Patients Through Chest X-Ray Images Using Deep Learning Model. 408-419 - Oznur Ozaltin, Ozgur Yeniay, Abdulhamit Subasi:
OzNet: A New Deep Learning Approach for Automated Classification of COVID-19 Computed Tomography Scans. 420-436 - Ramkumar Jayaraman, Mohammed Alshehri, Manoj Kumar, Ahed Abugabah, Surender Singh Samant, Ahmed A. Mohamed:
Secure Biomedical Document Protection Framework to Ensure Privacy Through Blockchain. 437-451 - S. V. N. Sreenivasu, P. Santosh Kumar Patra, Vasujadevi Midasala, G. S. N. Murthy, Krishna Chaitanya Janapati, J. N. V. R. Swarup Kumar, Pala Mahesh Kumar:
ODQN-Net: Optimized Deep Q Neural Networks for Disease Prediction Through Tongue Image Analysis Using Remora Optimization Algorithm. 452-465
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