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An approach for fault prediction in SOA-based systems using machine learning techniques
Bhandari, Guru Prasad ; Gupta, Ratneshwer ; Upadhyay, Satyanshu Kumar
Data Technologies and Applications, 2019, Vol. 53, Issue 4, pp. 397-421.

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223

Artificial Intelligence for Health 4.0: Challenges and Applications
Rishabha Malviya ; Naveen Chilamkurti ; Sonali Sundram ; et al.

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224

Interpretable stacking ensemble learning for predicting the BOF oxygen blowing amount for making high-carbon steel with state-of-the-art machine learning and deep learning models.
Xie, Tian-yi ; Zhang, Cai-dong ; Zhang, Fei ; et al.
Ironmaking & Steelmaking. Sep2024, p1.

BASIC oxygen furnaces STANDARD deviations MACHINE learning CARBON steel COMPUTER software develo... DEEP learning
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225

Soil Moisture Retrieval Using Stacked Generalization: An Ensemble Machine Learning Method
Cheng, Yuan ; Li, Yuxia ; Wu, Huanoing ; et al.
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Geoscience and Remote Sensing Symposium IGARSS , 2021 IEEE International. :6984-6987 Jul, 2021

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226

Multi-Phases and Various Feature Extraction and Selection Methodology for Ensemble Gradient Boosting in Estimating Respiratory Rate
Lee, S. ; Son, C. ; Albertini, M.K. ; et al.
IEEE Access Access, IEEE. 8:125648-125658 2020

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227

Applications of Machine Learning Algorithms in Open Innovation
Awasthi, Kanchan ; Padwekar, Krunal ; Misra, Subhas Chandra
Artificial Intelligence-Enhanced Software and Systems Engineering ; Boosting Software Development Using Machine Learning ; page 311-320 ; ISSN 2731-6025 2731-6033 ; ISBN 9783031881879 9783031881886

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228

Domain-specific implications of error-type metrics in risk-based software fault prediction.
Phung, Khoa ; Ogunshile, Emmanuel ; Aydin, Mehmet E.
Software Quality Journal; Mar2025, Vol. 33 Issue 1, p1-41, 41p

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229

Securing Smart Contracts in Fog Computing: Machine Learning-Based Attack Detection for Registration and Resource Access Granting
Ehsan, T. ; Sana, M.U. ; Ali, M.U. ; et al.
IEEE Access Access, IEEE. 12:42802-42815 2024

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231

Lessons learned from a simulated environment for trains conduction
Sato, Denise Maria Vecino ; Borges, Andre Pinz ; Leite, Allan Rodrigo ; et al.
2012 IEEE International Conference on Industrial Technology Industrial Technology (ICIT), 2012 IEEE International Conference on. :533-538 Mar, 2012

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232

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
Wang, Bo ; Wang, Shaocong ; Lin, Ning ; et al.

Computer Science - Emerg... Computer Science - Artif... Computer Science - Neura...
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233

Patient-Based Prediction Algorithm of Relapse after Allo-HSCT for Acute Leukemia Using Machine Learning Approach
Fuse, Kyoko ; Uemura, Shun ; Suwabe, Tatsuya ; et al.
In Blood 8 December 2017 130 Supplement 1:2044-2044

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234

A novel framework for developing environmentally sustainable and cost-effective ultra-high-performance concrete (UHPC) using advanced machine learning and multi-objective optimization techniques.
Wakjira, Tadesse G. ; Kutty, Adeeb A. ; Alam, M. Shahria
Construction & Building Materials. Feb2024, Vol. 416, pN.PAG-N.PAG. 1p.

HIGH strength concrete MACHINE learning MATHEMATICAL optimizatio... COMPRESSIVE strength SOFTWARE development too... COMPOSITE columns
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235

Exosome Proteomics and Machine Learning Identify Novel Biomarkers of Primary Graft Dysfunction
Giangreco, N. ; Lebreton, G. ; Restaino, S. ; et al.
In Journal of Heart and Lung Transplantation April 2019 38(4) Supplement:S137-S137

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236

Malware Detection by Control-Flow Graph Level Representation Learning With Graph Isomorphism Network
Gao, Y. ; Hasegawa, H. ; Yamaguchi, Y. ; et al.
IEEE Access Access, IEEE. 10:111830-111841 2022

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237

Understanding machine learning software defect predictions.
Esteves, Geanderson ; Figueiredo, Eduardo ; Veloso, Adriano ; et al.
Automated Software Engineering; Dec2020, Vol. 27 Issue 3/4, p369-392, 24p

MACHINE learning FORECASTING BOOSTING algorithms COMPUTER software PREDICTION models
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238

Hybridizing Metaheuristics and Analogy-Based Methods with Ensemble Learning for Improved Software Cost Estimation
Kaushik, Anupama ; Yadav, Kalpana ; Kaur, Prabhjot ; et al.
Artificial Intelligence-Enhanced Software and Systems Engineering ; Boosting Software Development Using Machine Learning ; page 127-141 ; ISSN 2731-6025 2731-6033 ; ISBN 9783031881879 9783031881886

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239

Predicting software failures during the development phase using machine learning.
Suresh, A. ; Kumar, R. G. ; Harika, K. ; et al.
Turkish Online Journal of Qualitative Inquiry; 2021, Vol. 12 Issue 8, p14458-14467, 10p

SOFTWARE failures TEST methods FORECASTING CONSUMERS MACHINE learning COMPUTER software develo...
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240

Modeling of Reptile Search Algorithm With Deep Learning Approach for Copy Move Image Forgery Detection
Maashi, M. ; Alamro, H. ; Mohsen, H. ; et al.
IEEE Access Access, IEEE. 11:87297-87304 2023

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