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Publication search results
found 1,899 matches
- 2025
- Mingrong Wang, Shuqing Jiang:
Virtual robots based on multi task scheduling algorithms in visual graphic design and digital art applications. Entertain. Comput. 52: 100775 (2025) - 2024
- Minh Thanh Chung:
A Proactive Approach of Co-scheduling Tasks for Dynamic Load Balancing in Parallel Applications. Ludwig Maximilian University of Munich, Germany, Dr. Hut 2024, ISBN 978-3-8439-5472-3, pp. 1-156 - Isabell Lehmann, Tanuj Hasija, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali:
Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data. IEEE Access 12: 109443-109456 (2024) - Abhijeet Mahapatra, Santosh Kumar Majhi, Kaushik Mishra, Rosy Pradhan, D. Chandrasekhar Rao, Sandeep Kumar Panda:
An Energy-Aware Task Offloading and Load Balancing for Latency-Sensitive IoT Applications in the Fog-Cloud Continuum. IEEE Access 12: 14334-14349 (2024) - Mohammad Reza Rezaee, Nor Asilah Wati Abdul Hamid, Masnida Hussin, Zuriati Ahmad Zukarnain:
Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application. IEEE Access 12: 39058-39080 (2024) - Abdelkarim Ben Sada, Amar Khelloufi, Abdenacer Naouri, Huansheng Ning, Sahraoui Dhelim:
Energy-Aware Selective Inference Task Offloading for Real-Time Edge Computing Applications. IEEE Access 12: 72924-72937 (2024) - Joyce Chen Yen Ngu, Wan Sieng Yeo, Teck Fu Thien, Jobrun Nandong:
A comprehensive overview of the applications of kernel functions and data-driven models in regression and classification tasks in the context of software sensors. Appl. Soft Comput. 164: 111975 (2024) - Abdullateef I. Almudaifer, Whitney L. Covington, JaMor Hairston, Zachary Deitch, Ankit Anand, Caleb M. Carroll, Estera Crisan, William Bradford, Lauren Walter, Ellen F. Eaton, Sue S. Feldman, John D. Osborne:
Multi-task transfer learning for the prediction of entity modifiers in clinical text: application to opioid use disorder case detection. J. Biomed. Semant. 15(1): 11 (2024) - Wang Li, Jiajie Xu, Wanrong Yang, Feila Liu, Hengyu Zhou, Zhonghong Yan:
Approach and application of extracting matching features from E-nose signals for AI tasks. Biomed. Signal Process. Control. 90: 105869 (2024) - Sunil Kumar Chowdhary, A. L. N. Rao:
QoS and reliability aware matched bald eagle task scheduling framework based on IoT-cloud in educational applications. Clust. Comput. 27(6): 8141-8158 (2024) - Seyyedamin Seifhosseini, Mirsaeid Hosseini Shirvani, Yaser Ramzanpoor:
Multi-objective cost-aware bag-of-tasks scheduling optimization model for IoT applications running on heterogeneous fog environment. Comput. Networks 240: 110161 (2024) - Mateusz Tejer, Rafal Szczepanski, Tomasz Tarczewski:
Robust and efficient task scheduling for robotics applications with reinforcement learning. Eng. Appl. Artif. Intell. 127(Part A): 107300 (2024) - Yalin Wang, Rao Dai, Diju Liu, Kai Wang, Xiaofeng Yuan, Chenliang Liu:
A task-oriented deep learning framework based on target-related transformer network for industrial quality prediction applications. Eng. Appl. Artif. Intell. 133: 108361 (2024) - Weidong Li, Jinwen Ou:
Machine scheduling with restricted rejection: An Application to task offloading in cloud-edge collaborative computing. Eur. J. Oper. Res. 314(3): 912-919 (2024) - Mingliang Bai, Zhihao Zhou, Jingjing Li, Yunxiao Chen, Jinfu Liu, Xinyu Zhao, Daren Yu:
Deep graph gated recurrent unit network-based spatial-temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial-temporal probabilistic forecast of photovoltaic power. Expert Syst. Appl. 240: 122072 (2024) - Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Nagat Drawel, Gaith Rjoub, Witold Pedrycz:
A comprehensive survey on applications of transformers for deep learning tasks. Expert Syst. Appl. 241: 122666 (2024) - Muhammad Saad, Rabia Noor Enam, Rehan Qureshi:
Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application. Frontiers Big Data 7 (2024) - Rafael Rodríguez-Sánchez, Adrián Castelló, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí:
Experiences with nested parallelism in task-parallel applications using malleable BLAS on multicore processors. Int. J. High Perform. Comput. Appl. 38(2): 55-68 (2024) - Provita Wijayanti, Intan Salwani Mohamed, Dalila Daud:
Computerized accounting information systems: An application of task technology fit model for microfinance. Int. J. Inf. Manag. Data Insights 4(1): 100224 (2024) - Kang Li, Limin Zhang, Junfei Qiao:
Multi-task stochastic configuration network with autonomous linking and its application in wastewater treatment processes. Inf. Sci. 662: 120195 (2024) - Ari Z. Klein, Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez:
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. J. Am. Medical Informatics Assoc. 31(4): 991-996 (2024) - Guanxun Li, Quan Zhou:
Bayesian Multi-Task Variable Selection with an Application to Differential DAG Analysis. J. Comput. Graph. Stat. 33(1): 35-46 (2024) - A. Arul, M. Kathirvelu:
DILTS: Dragonfly-inspired lazy task scheduling algorithm for efficient energy consumption control in IoT applications. J. Intell. Fuzzy Syst. 46(3): 6729-6746 (2024) - Suhaimi Abd Ishak, Hui Wu, Umair Ullah Tariq:
Energy-aware task scheduling for streaming applications on NoC-based MPSoCs. J. King Saud Univ. Comput. Inf. Sci. 36(6): 102082 (2024) - Xueyuan Chen, Zhihao Hu, Guo Lu, Jiaheng Liu:
A unified efficient deep image compression framework and its application on human-centric Task. Multim. Tools Appl. 83(29): 73407-73425 (2024) - Retraction Note: A new binary salp swarm algorithm: development and application for optimization tasks. Neural Comput. Appl. 36(24): 15213 (2024)
- Deafallah Alsadie:
Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects. PeerJ Comput. Sci. 10: e2128 (2024) - Ana Maria Amorim, Ailton Ribeiro, Murilo Guerreiro Arouca, Iago Meijon, Victor Cavalheiro, Maria Clara Pestana, Vaninha Vieira:
Gamification Techniques and Contribution Filtering in Crowdsourcing Micro-Task Applications. J. Interact. Syst. 15(1): 401-416 (2024) - Hongqiang Xiong, Baizhou An, Boyang Sun, Jiayu Lu:
An Improved Synchrosqueezing S-Transform and Its Application in a GPR Detection Task. Sensors 24(10): 2981 (2024) - Yuan Xue, Ning Li:
Research and application of multimedia compression technology in online physical education teaching task. Signal Image Video Process. 18(4): 3459-3470 (2024)
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