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Publication search results
found 161 matches
- 2024
- M. Kandan, K. Jayasakthi Velmurugan, P. Gururama Senthilvel, N. Sathish Kumar:
Air quality forecasting-driven cloud resource allocation for sustainable energy consumption: An ensemble classifier approach. Trans. Emerg. Telecommun. Technol. 35(2) (2024) - Praveen Kumar Kollu, Tejaswini Sambrajyam Janjanam, Kavya Sharmila Siram:
Comparative analysis of cloud resources forecasting using deep learning techniques based on VM workload traces. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - Taesam Lee, Chang-Hee Won, Vijay P. Singh:
ML-based regionalization of climate variables to forecast seasonal precipitation for water resources management. Mach. Learn. Sci. Technol. 5(1): 15019 (2024) - Jin Hur, Eunji Ahn:
An Enhanced Short-term Forecasting of Wind Generating Resources based on Edge Computing in Jeju Carbon-Free Islands. HICSS 2024: 2926-2935 - Mulomba Mukendi Christian, Hyebong Choi:
Air Quality Forecasting Using Machine Learning: A Global perspective with Relevance to Low-Resource Settings. CoRR abs/2401.04369 (2024) - Hao Wu, Haomin Wen, Guibin Zhang, Yutong Xia, Kai Wang, Yuxuan Liang, Yu Zheng, Kun Wang:
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting. CoRR abs/2403.02914 (2024) - 2023
- Abdulwahab Ali Almazroi, Nasir Ayub:
Multi-Task Learning for Electricity Price Forecasting and Resource Management in Cloud Based Industrial IoT Systems. IEEE Access 11: 54280-54295 (2023) - Farman Ullah, Muhammad Bilal, Su-Kyung Yoon:
Intelligent time-series forecasting framework for non-linear dynamic workload and resource prediction in cloud. Comput. Networks 225: 109653 (2023) - Waqas Ali, Muhammad Saleem, Abdul Khaliq, Amanullah Yasin:
An intelligent timestamp data manipulation methodology for customer level resource efficient short-term electric load forecasting. Int. J. Data Anal. Tech. Strateg. 15(3): 198-216 (2023) - Zhen-Yu Chen:
The value of probabilistic forecasting in emergency medical resource planning under uncertainty. Kybernetes 52(6): 1962-1975 (2023) - Jieun Park, Junho Jeong:
An Autoscaling System Based on Predicting the Demand for Resources and Responding to Failure in Forecasting. Sensors 23(23): 9436 (2023) - Cédric St-Onge, Nadjia Kara, Claes Edstrom:
Multivariate outlier filtering for A-NFVLearn: an advanced deep VNF resource usage forecasting technique. J. Supercomput. 79(14): 16206-16232 (2023) - Xiao Ming Wu, Zhan Xin Guo, Xiao Mei Chu, Yoo Seungeok:
Designing a demand forecasting model for human resources cloud data centres using fuzzy theory. Wirel. Networks 29(8): 3417-3433 (2023) - Dimitra Paranou, Angelos Pentelas, Dimitris Katsiros, Konstantinos Maidatsis, George Giannopoulos, Evangelos Angelou, Nikos Anastopoulos, George Papastefanatos:
Forecasting Resource Demand for Dynamic Datacenter Sizing in Telco Infrastructures. IEEE Big Data 2023: 3813-3822 - Guillem Hernández Guillamet, Beatriz López, Oriol Estrada, Francesc López Seguí:
Hipertension Demand Forecasting Using Cross-Correlation and Lagged Multiple Linear Regression Models for Anticipating Health Resources Needs. CCIA 2023: 193-203 - Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali:
Is Machine Learning Necessary for Cloud Resource Usage Forecasting? SoCC 2023: 544-554 - Viktor Morozov, Illia Peknevych:
Elaboration of Forecasting Models of Resource Reserves in Projects Based on Historical Data. CSIT 2023: 1-4 - Wei Wang, Jin Zhu, Pingxin Wang:
Data Analytics Methods in Human Resource Demand Forecasting. DMBD (1) 2023: 3-15 - Georgia Christofidi, Konstantinos Papaioannou, Thaleia Dimitra Doudali:
Toward Pattern-based Model Selection for Cloud Resource Forecasting. EuroMLSys@EuroSys 2023: 115-122 - Siwan Huang, Jianheng Shi, Baoyue Wang, Jiawei Lyu, Nina Nie, Xiwei Dong, Haoyi Li, Sui Zhang, Xin Ren:
A Meta-learning based Method for Day Ahead Electricity Price Forecasting in Markets with Renewable Energy Resources. GCCE 2023: 288-290 - Shuchi Singh, Soumya Muthu Kumar, Snehit V. Kashyap, Monika Singh:
Web (Network) Traffic Time Series Forecasting and Resource Optimization. ICCCNT 2023: 1-7 - Guangying Jin, Chunhui Yang:
Forecasting Human Resources Demand of Port Enterprises Based on Grey BP Neural Network. ICIBE 2023: 85-90 - Song Yinghua, Qiaoyun Fan:
Research and Implementation of Key Technologies for Distributed Resource Power and Load Forecasting. ICISE 2023: 145-149 - Syed Muhammad Ammar Hassan Bukhari, Muhammad Afaq, Wang-Cheol Song:
Streaming via SDN: Resource forecasting for video streaming in a Software-Defined Network. ICUFN 2023: 596-601 - 2022
- Chaoran Zheng, Mohsen Eskandari, Ming Li, Zeyue Sun:
GA-Reinforced Deep Neural Network for Net Electric Load Forecasting in Microgrids with Renewable Energy Resources for Scheduling Battery Energy Storage Systems. Algorithms 15(10): 338 (2022) - Khursheed Aurangzeb, Sheraz Aslam, Syed Irtaza Haider, Syed Muhammad Mohsin, Saif ul Islam, Hasan Ali Khattak, Sajid Shah:
Energy forecasting using multiheaded convolutional neural networks in efficient renewable energy resources equipped with energy storage system. Trans. Emerg. Telecommun. Technol. 33(2) (2022) - Jizhong Shao, Guan Liu, Hong Yuan, Qize Song, Minge Yang, Dan Luo, Xiaosi Zhang, Yanran Tan, Yuxin Zhang:
Evaluation and Scale Forecast of Underground Space Resources of Historical and Cultural Cities in China. ISPRS Int. J. Geo Inf. 11(1): 31 (2022) - Anton S. Becker, Joseph P. Erinjeri, Joshua Chaim, Nicholas Kastango, Pierre Elnajjar, Hedvig Hricak, Herbert Alberto Vargas:
Automatic Forecasting of Radiology Examination Volume Trends for Optimal Resource Planning and Allocation. J. Digit. Imaging 35(1): 1-8 (2022) - Shih-Hsiung Chou, Philip Turk, Marc Kowalkowski, James Kearns, Jason Roberge, Jennifer S. Priem, Yhenneko J. Taylor, Ryan Burns, Pooja Palmer, Andrew McWilliams:
Implementation of an Adaptable COVID-19 Utilization and Resource Visualization Engine (CURVE) to Depict In-Hospital Resource Forecasts Over Time. J. Data Sci. Stat. Vis. 2(7): 1-13 (2022) - In Kee Kim, Wei Wang, Yanjun Qi, Marty Humphrey:
Forecasting Cloud Application Workloads With CloudInsight for Predictive Resource Management. IEEE Trans. Cloud Comput. 10(3): 1848-1863 (2022)
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