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ORCIDComputing, Volume 107
Volume 107, Number 1, January 2025
- Hui Du, Shihao Ji, Xing Zhang, Dongsheng Ma, Yimeng Zhang, Xiaoli Wang:
Mpbs:research on mini-batch partitioning algorithm based on self-organizing map network. 1 - Ijaz Ahmed, Miswar Akhtar Syed, Muhammad Maaruf, Muhammad Khalid:
Distributed computing in multi-agent systems: a survey of decentralized machine learning approaches. 2 - Jose M. Rivas, Carlos Fernandez-Basso, Roberto Morcillo-Jiménez, Juan Paños-Basterra, M. Dolores Ruiz, María J. Martín-Bautista:
Simulafed: an enhanced federated simulated environment for privacy and security in health. 3 - Ahmad Siavashi, Mahmoud Momtazpour:
GPU cluster dynamics: insights from Alibaba's 2023 trace release. 4 - Ziran Zuo, Yifa Huang, Zenghui Li, Ying Jiang, Chunhong Liu:
Mixed contrastive transfer learning for few-shot workload prediction in the cloud. 5 - Shouliang Lai, Peiling Zhou, Xiyu Yi, Cong Luo:
Towards improving context-aware applications using link quality induction and self-calibrated ultra-wide band localization systems. 6 - Arash Deldari, Alireza Holghinezhad:
An IoT-based bag-of-tasks scheduling framework for deadline-sensitive applications in fog-cloud environment. 7 - Wael Issa, Nour Moustafa, Benjamin P. Turnbull, Nasrin Sohrabi, Zahir Tari, Albert Y. Zomaya:
VIFL: vulnerability identification using federated learning in the internet of things systems. 8 - Jetty Benjamin
, Juby Mathew:
Enhancing continuous integration predictions: a hybrid LSTM-GRU deep learning framework with evolved DBSO algorithm. 9 - M. R. Naveen Kumar, B. Annappa, Vishwas Yadav:
Efficient Kalman filter based deep learning approaches for workload prediction in cloud and edge environments. 10 - Alison Silva, Gustavo Callou:
Models for availability evaluation of file servers in private clouds. 11 - Miaolei Deng, Umer Nauman, Yuhong Zhang:
NS-OWACC: nature-inspired strategies for optimizing workload allocation in cloud computing. 12 - Mohammad Amin Zare Soltani, Seyed-Amin Hosseini-Seno, Amir Hossein Mohajerzadeh:
Optimizing SDN resource allocation using fuzzy logic and VM mapping technique. 13 - Ankur Kumar Singhal, Shriansh Manhas, Anurag Singh:
Beyond the traditional models: a network reconstruction based model for predicting and analysing individual health status. 14 - Omid Bushehrian, Amir Moazeni:
Deep reinforcement learning-based optimal deployment of IoT machine learning jobs in fog computing architecture. 15 - Zhong-Min Wang, Hanchen Dong, Xiaomin Jin, Yanping Chen:
A profit-aware server deployment approach for edge computing. 16 - Binazir Ganji, Ali Rezaee, Sahar Adabi, Ali Movaghar:
Model verification of real-time and distributed stream processing architecture. 17 - Zhen Chen, Jia Huang, Shengzheng Liu, Haixia Long:
A blockchain and A-DCNN integrated framework for privacy protection and intrusion detection of industrial IoT. 18 - Cleunio França, Eduardo Tavares:
Stochastic modeling of smart street lighting systems: maintenance models assessment. 19 - Muhammad Mohsin Zafar, Nadeem Javaid, Ifra Shaheen, Nabil Ali Alrajeh, Sheraz Aslam:
Enhancing clinical decision support with explainable deep learning framework for C-section forecasting. 20 - Yuan Yao, Hui Zhan, Ali Noorian, Mehdi Hazratifard:
Enhancing POI recommendations on social media: a sequential approach incorporating LSTM and user feedback. 21 - Long Chen, Guangrui Liu, Jinquan Zhang, Xiaodong Zhang:
Scheduling ensemble workflows on hybrid resources in IaaS clouds. 22 - Lei Zhang, Mingzeng Cao, Jing Li, Chenglin Zhang, Lili He:
A novel collaborative privacy protection scheme based on verifiable secret sharing and trust mechanism. 23 - Nirmalya Mukhopadhyay, Babul P. Tewari:
Cost and energy aware migration through dependency analysis of VM components in virtual cloud infrastructure. 24 - Sicheng Wang, Gang Li, Bin He, Bin Cheng, Yulong Ding, Wei Li:
LUMF-YOLO: a lightweight object detection network integrating UAV motion features. 25 - Yan Wan, Yujia Zhai, Can Cui, Dexuan Song:
Indoor energy-saving strategy optimization based on deep reinforcement learning and DDPG algorithm. 26 - Qingmiao Hu, Hongwei Li, Elaheh Nikougoftar:
Mitigating cold start problem in serverless computing using predictive pre-warming with machine learning. 27
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last updated on 2025-01-06 23:21 CET by the dblp team
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