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Publication search results
found 813 matches
- 2024
- Marwah Abdulrazzaq Naser, Aso Ahmed Majeed, Muntadher Alsabah, Taha Raad Al-Shaikhli, Kawa M. Kaky:
A Review of Machine Learning's Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges. Algorithms 17(2): 78 (2024) - Zhiqiang Li, Jingwen Niu, Xiao-Yuan Jing:
Software defect prediction: future directions and challenges. Autom. Softw. Eng. 31(1): 19 (2024) - Wen Fang, Shuwen Zhang, Chang Xu:
Improving prediction efficiency of Chinese stock index futures intraday price by VIX-Lasso-GRU Model. Expert Syst. Appl. 238(Part C): 121968 (2024) - Bartlomiej Placzek:
Prediction-based data reduction with dynamic target node selection in IoT sensor networks. Future Gener. Comput. Syst. 152: 225-238 (2024) - Yahui Wang, Hongchang Chen, Shuxin Liu, Kai Wang, Yuxiang Hu:
Geo-aware graph-augmented self-attention network for individual mobility prediction. Future Gener. Comput. Syst. 151: 1-11 (2024) - Ying-Hsun Lai, Shin-Yeh Chen, Wen-Chi Chou, Hua-Yang Hsu, Han-Chieh Chao:
Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in Non-IID Datasets. Future Internet 16(3): 95 (2024) - Mattia Pellegrino, Gianfranco Lombardo, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos, Agostino Poggi:
A Multi-Head LSTM Architecture for Bankruptcy Prediction with Time Series Accounting Data. Future Internet 16(3): 79 (2024) - Feng Zhou, Shijing Hu, Xin Du, Xiaoli Wan, Jie Wu:
A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture. Future Internet 16(3): 75 (2024) - Haoze Cang, Xiangyan Zeng, Shuli Yan:
A matrixed nonlinear exponential grey Bernoulli model for interval number prediction of crude oil futures prices. Grey Syst. Theory Appl. 14(1): 91-114 (2024) - Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin, Jingping Shao:
Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction. AAAI 2024: 428-436 - Panagiotis Tampakis, Nikos Pelekis:
Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects. EDBT/ICDT Workshops 2024 - Chenkai Zhang, Ruochen Cao, Andrew Cunningham, James A. Walsh:
Whatever could be, could be: Visualizing Future Movement Predictions. VR 2024: 126-136 - Nikolaos Koursioumpas, Lina Magoula, Ioannis Stavrakakis, Nancy Alonistioti, Miguel Angel Gutierrez-Estevez, Ramin Khalili:
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks. CoRR abs/2401.10158 (2024) - Sungmin Woo, Minjung Kim, Donghyeong Kim, Sungjun Jang, Sangyoun Lee:
FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction. CoRR abs/2401.16189 (2024) - Lorenzo Masoero, Mario Beraha, Thomas S. Richardson, Stefano Favaro:
Improved prediction of future user activity in online A/B testing. CoRR abs/2402.03231 (2024) - Jeongyeol Kwon, Liu Yang, Robert D. Nowak, Josiah Hanna:
Future Prediction Can be a Strong Evidence of Good History Representation in Partially Observable Environments. CoRR abs/2402.07102 (2024) - Junhua Liu, Albrethsen Justin, Goh Lincoln, Yau David, Kwan Hui Lim:
Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction. CoRR abs/2403.13872 (2024) - 2023
- Justin Janquart:
From Einstein to Einstein Telescope: From Testing Predictions to Addressing Future Challenges. Utrecht University, Netherlands, 2023 - Pascal Oser:
Security Risks of IoT Devices: From Device Characteristics to Future Risk Score Predictions. University of Ulm, Germany, 2023 - Nao Ito, Shunsuke Minusa, Takeshi Tanaka, Yun Li, Hiroyuki Kuriyama:
Prediction of Future Collision Risk for Truck Drivers Using the Time-Series Autonomic Nerve Function. IEEE Access 11: 94218-94226 (2023) - Anwar Khan, Mostafa M. Fouda, Dinh-Thuan Do, Abdulaziz Almaleh, Atiq Ur Rahman:
Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends. IEEE Access 11: 94371-94391 (2023) - Jindian Liu, Bo Zhang, Tianhu Zhang, Jingyang Wang:
Soybean Futures Price Prediction Model Based on EEMD-NAGU. IEEE Access 11: 99328-99338 (2023) - Varun Mandalapu, Lavanya Elluri, Piyush Vyas, Nirmalya Roy:
Crime Prediction Using Machine Learning and Deep Learning: A Systematic Review and Future Directions. IEEE Access 11: 60153-60170 (2023) - Nicholas A. Nechval, Gundars Berzins, Konstantin N. Nechval:
A Unified Technique for Prediction and Optimization of Future Outcomes under Parametric Uncertainty via Pivotal Quantities and Ancillary Statistics. Autom. Control. Comput. Sci. 57(3): 234-257 (2023) - Md. Moniruzzaman, Alexander Rassau, Douglas Chai, Syed Mohammed Shamsul Islam:
Structure-Aware Image Translation-Based Long Future Prediction for Enhancement of Ground Robotic Vehicle Teleoperation. Adv. Intell. Syst. 5(10) (2023) - Chaobo Li, Hongjun Li, Guoan Zhang:
Future frame prediction based on generative assistant discriminative network for anomaly detection. Appl. Intell. 53(1): 542-559 (2023) - Chenming Li, Xiuhong Chen:
Future video frame prediction based on generative motion-assistant discriminative network. Appl. Soft Comput. 135: 110028 (2023) - Zhipeng Li, Shanshan Feng, Jun Shi, Yang Zhou, Yong Liao, Yangzhao Yang, Yangyang Li, Nenghai Yu, Xun Shao:
Future Event Prediction Based on Temporal Knowledge Graph Embedding. Comput. Syst. Sci. Eng. 44(3): 2411-2423 (2023) - Kotapati Narayana Loukika, Venkata Reddy Keesara, Eswar Sai Buri, Venkataramana Sridhar:
Future prediction of scenario based land use land cover (LU&LC) using DynaCLUE model for a river basin. Ecol. Informatics 77: 102223 (2023) - Shangkun Deng, Yingke Zhu, Shuangyang Duan, Yiting Yu, Zhe Fu, Jiahe Liu, Xiaoxue Yang, Zonghua Liu:
High-frequency forecasting of the crude oil futures price with multiple timeframe predictions fusion. Expert Syst. Appl. 217: 119580 (2023)
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