Suchergebnisse - "Golec, Muhammed"

Cold Start Latency in Serverless Computing: A Systematic Review, Taxonomy, and Future Directions.

Autoren: Golec, Muhammed Walia, Guneet Kaur Kumar, Mohit et al.

Quelle: ACM Computing Surveys; Mar2025, Vol. 57 Issue 3, p1-36, 36p

Schlagwörter: ARTIFICIAL intelligence, COMPUTER engineering, SOFTWARE engineering, ARTIFICIAL neural networks, REAL-time computing, CACHE memory, PYTHON programming language

Edge AI: A Taxonomy, Systematic Review and Future Directions.

Autoren: Gill, Sukhpal Singh Golec, Muhammed Hu, Jianmin et al.

Quelle: Cluster Computing; Feb2025, Vol. 28 Issue 1, p1-53, 53p

PRICELESS: Privacy enhanced AI‐driven scalable framework for IoT applications in serverless edge computing environments.

Autoren: Golec, Muhammed Golec, Mustafa Xu, Minxian et al.

Quelle: Internet Technology Letters; Jan/Feb2025, Vol. 8 Issue 1, p1-6, 6p

Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy

Autoren: Golec, Muhammed AlabdulJalil, Maha

Schlagwörter: FOS: Economics and business, FOS: Computer and information sciences, Computer Science - Machine Learning, Risk Management (q-fin.RM), Quantitative Finance - Risk Management, Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2506.04290

Music Emotion Recognition-Based Business-Oriented Visualization Framework Using AI-driven Serverless Cloud Computing.

Autoren: Golec, Muhammed Zhu, Lifeng Hatay, Emir Sahin et al.

Quelle: International Journal of Business Analytics; Jan-Dec2025, Vol. 12 Issue 1, p1-26, 26p

ProKube: Proactive Kubernetes Orchestrator for Inference in Heterogeneous Edge Computing.

Autoren: Ali, Babar Golec, Muhammed Singh Gill, Sukhpal et al.

Quelle: International Journal of Network Management; Jan2025, Vol. 35 Issue 1, p1-14, 14p

Schlagwörter: EDGE computing, MACHINE learning, RESOURCE management, RESOURCE allocation

BlockFaaS: Blockchain-enabled Serverless Computing Framework for AI-driven IoT Healthcare Applications.

Autoren: Golec, Muhammed Gill, Sukhpal Singh Golec, Mustafa et al.

Quelle: Journal of Grid Computing; Dec2023, Vol. 21 Issue 4, p1-19, 19p

ServerlessPGO: enhancing serverless cold starts through PGO.

Autoren: Liu, Yu Fu, Li Penghui, Ma

Quelle: Cluster Computing; Nov2025, Vol. 28 Issue 14, p1-20, 20p

Schlagwörter: RESOURCE allocation, ON-demand computing, COST functions, MATHEMATICAL optimization, SOFTWARE development tools

iFaaSBus: A Security- and Privacy-Based Lightweight Framework for Serverless Computing Using IoT and Machine Learning.

Autoren: Golec, Muhammed Ozturac, Ridvan Pooranian, Zahra et al.

Quelle: IEEE Transactions on Industrial Informatics; May2022, Vol. 18 Issue 5, p3522-3529, 8p

Explainable Machine Learning Framework for Predicting Auto Loan Defaults.

Autoren: Xie, Shengkun Shingadia, Tara

Quelle: Risks; Sep2025, Vol. 13 Issue 9, p172, 18p

Schlagwörter: MACHINE learning, DEFAULT (Finance), FEATURE selection, CREDIT analysis, STATISTICAL bias, RESAMPLING (Statistics), ARTIFICIAL intelligence, FORECASTING

BlockchainBus: A lightweight framework for secure virtual machine migration in cloud federations using blockchain.

Autoren: Doyle, Joseph Golec, Muhammed Gill, Sukhpal Singh

Quelle: Security & Privacy; Mar2022, Vol. 5 Issue 2, p1-11, 11p

Artificial Intelligence and Sustainable Innovation : Volume 2

Autoren: Arvind Dagur Sohit Agarwal Dhirendra Kumar Shukla et al.

Resource Type: eBook.

Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Agriculture / Sustainable Agriculture, TECHNOLOGY & ENGINEERING / Environmental / General, TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable

Computational Intelligence for Connective Cognition Networks : Advances and Applications

Autoren: Kirti Aggarwal Anuja Arora Zahid Akhtar et al.

Resource Type: eBook.

Categories: TECHNOLOGY & ENGINEERING / Electrical, COMPUTERS / Computer Engineering, TECHNOLOGY & ENGINEERING / Electronics / General