Imagen de Portada

Machine Learning Models for Reinforced Concrete Pipes Condition Prediction: The State-of-the-Art Using Artificial Neural Networks and Multiple Linear Regression in a Wisconsin Case Study

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mohammadagha, Mohsen, Najafi, Mohammad, Kaushal, Vinayak, Jibreen, Ahmad Mahmoud Ahmad
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Materials Science Performance
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Bayesian-Monte Carlo Schedule Updating for Construction Digital Twins: A Probabilistic Framework for Dynamic Project Forecasting
por: Khoshkonesh, Atena, et al.
Publicado: (2026)

PipeWeave: Synergizing Analytical and Learning Models for Unified GPU Performance Prediction
por: Zhang, Kaixuan, et al.
Publicado: (2026)

eHashPipe: Lightweight Top-K and Per-PID Resource Monitoring with eBPF
por: Dai, Yuanjun, et al.
Publicado: (2025)

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs
por: Elshamy, Mohamed R., et al.
Publicado: (2025)

Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art
por: Azizi, Ilias, et al.
Publicado: (2025)

Accelerating Machine Learning Queries with Linear Algebra Query Processing
por: Sun, Wenbo, et al.
Publicado: (2023)

RSR-core: A High-Performance Engine for Low-Bit Matrix-Vector Multiplication
por: Dehghankar, Mohsen, et al.
Publicado: (2026)

Fine-Grained Clustering-Based Power Identification for Multicores
por: Elshamy, Mohamed R., et al.
Publicado: (2024)

Ecoscape: Fault Tolerance Benchmark for Adaptive Remediation Strategies in Real-Time Edge ML
por: Reiter, Hendrik, et al.
Publicado: (2025)

On General Linearly Implicit Quantized State System Methods
por: Bergonzi, Mariana, et al.
Publicado: (2025)

Delegation with Trust<T>: A Scalable, Type- and Memory-Safe Alternative to Locks
por: Ahmad, Noaman, et al.
Publicado: (2024)

KG-EDAS: A Meta-Metric Framework for Evaluating Knowledge Graph Completion Models
por: Gul, Haji, et al.
Publicado: (2025)

Modeling the Impact of ICT on Business Performance: Empirical Evidence from SMEs in Germany and Jordan
por: Mahmoud Almadhoun
Publicado: (2011)

An Analytical Cost Model for Fast Evaluation of Multiple Compute-Engine CNN Accelerators
por: Qararyah, Fareed, et al.
Publicado: (2025)

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction
por: Liu, Xiaoman
Publicado: (2024)

High Performance Matrix Multiplication
por: Davis, Ethan
Publicado: (2025)

Sig2Model: A Boosting-Driven Model for Updatable Learned Indexes
por: Heidari, Alireza, et al.
Publicado: (2025)

EARL: Energy-Aware Optimization of Liquid State Machines for Pervasive AI
por: Iqbal, Zain, et al.
Publicado: (2026)

PrETi: Predicting Execution Time in Early Stage with LLVM and Machine Learning
por: Xu, Risheng, et al.
Publicado: (2025)

The Unfinished Art of Theater
por: Townsend, Sarah
Publicado: (2021)

Dancing with a Robot: An Experimental Study of Child-Robot Interaction in a Performative Art Setting
por: Ngo, Victor, et al.
Publicado: (2025)

PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference
por: Fang, Jiarui, et al.
Publicado: (2024)

Swarm: Co-Activation Aware KVCache Offloading Across Multiple SSDs
por: Wang, Tuowei, et al.
Publicado: (2026)

Knowledge Grafting: A Mechanism for Optimizing AI Model Deployment in Resource-Constrained Environments
por: Almurshed, Osama, et al.
Publicado: (2025)

Tracing Optimization for Performance Modeling and Regression Detection
por: Shahedi, Kaveh, et al.
Publicado: (2024)

Performance Evaluation of CMOS Annealing with Support Vector Machine
por: Fukuhara, Ryoga, et al.
Publicado: (2024)

Dynamic Precision Math Engine for Linear Algebra and Trigonometry Acceleration on Xtensa LX6 Microcontrollers
por: Preciado, Elian Alfonso Lopez
Publicado: (2026)

Exploiting Scheduling Flexibility via State-Based Scheduling When Guaranteeing Worst-Case Services
por: Xu, Yike, et al.
Publicado: (2026)

cuTeSpMM: Accelerating Sparse-Dense Matrix Multiplication using GPU Tensor Cores
por: Xiang, Lizhi, et al.
Publicado: (2025)

Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory
por: Ren, Jie, et al.
Publicado: (2025)

EVALUATING THE IMPACT OF RESERVATION ON KNOWLEDGE PRODUCTIVITY IN INDIAN HIGHER EDUCATION
por: Anil Kumar, et al.
Publicado: (2026)

Opal: A Modular Framework for Optimizing Performance using Analytics and LLMs
por: Zaeed, Mohammad, et al.
Publicado: (2025)

Development and Comparative Evaluation of Three Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept
por: Lansiaux, Edouard, et al.
Publicado: (2025)

Heavy-Traffic Optimal Size- and State-Aware Dispatching
por: Xie, Runhan, et al.
Publicado: (2023)

Cloud Computing Energy Consumption Prediction Based on Kernel Extreme Learning Machine Algorithm Improved by Vector Weighted Average Algorithm
por: Wang, Yuqing, et al.
Publicado: (2025)

Cluster-BPI: Efficient Fine-Grain Blind Power Identification for Defending against Hardware Thermal Trojans in Multicore SoCs
por: Elshamy, Mohamed R., et al.
Publicado: (2024)

Characterizing Machine Learning Force Fields as Emerging Molecular Dynamics Workloads on Graphics Processing Units
por: De Alwis, Udari, et al.
Publicado: (2026)

Analysis and Mitigation of Shared Resource Contention on Heterogeneous Multicore: An Industrial Case Study
por: Bechtel, Michael, et al.
Publicado: (2023)

Online Allocation with Replenishable Budgets: Worst Case and Beyond
por: Yang, Jianyi, et al.
Publicado: (2024)

GROOT: General-Purpose Automatic Parameter Tuning Across Layers, Domains, and Use Cases
por: Krahn, Robert, et al.
Publicado: (2025)