Results 71 to 80 of about 302,639 (265)

Analiza stanja pri uvajanju sodobnega višinskega sistema : Status of the new height system development [PDF]

Geodetski Vestnik, 2011
V prispevku je predstavljen predlog za novo oštevilčevanje nivelmanskih poligonov in reperjev. Obravnavana je tudi analiza natančnosti izmerjenih višinskih razlik, opravljena na podlagi odstopanj obojestransko merjenih višinskih razlik in odstopanj pri ...
Božo Koler, Nuša Vardjan, Tilen Urbančič   +2 more
doaj  

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Exploring the feasibility of integrating ultra‐high field magnetic resonance imaging neuroimaging with multimodal artificial intelligence for clinical diagnostics

iRADIOLOGY
Background The integration of 7 Tesla (7T) magnetic resonance imaging (MRI) with advanced multimodal artificial intelligence (AI) models represents a promising frontier in neuroimaging.
Yifan Yuan, Kaitao Chen, Youjia Zhu, Yang Yu, Mintao Hu, Ying‐Hua Chu, Yi‐Cheng Hsu, Jie Hu, Qi Yue, Mianxin Liu   +9 more
doaj   +1 more source

A Hitchhiker Guide to Structural Variant Calling: A Comprehensive Benchmark Through Different Sequencing Technologies

Biomedicines
Background: Structural variants (SVs) play a significant role in gene function and are implicated in numerous human diseases. With advances in sequencing technologies, identifying SVs through whole-genome sequencing (WGS) has become a key area of ...
Giuseppe Giovanni Nardone, Valentina Andrioletti, Aurora Santin, Anna Morgan, Beatrice Spedicati, Maria Pina Concas, Paolo Gasparini, Giorgia Girotto, Ivan Limongelli   +8 more
doaj   +1 more source

Benchmark Data Repositories for Better Benchmarking

Advances in Neural Information Processing Systems 37
In machine learning research, it is common to evaluate algorithms via their performance on standard benchmark datasets. While a growing body of work establishes guidelines for -- and levies criticisms at -- data and benchmarking practices in machine learning, comparatively less attention has been paid to the data repositories where these datasets are ...
Rachel Longjohn, Markelle Kelly, Sameer Singh 0001, Padhraic Smyth   +3 more
openaire   +3 more sources

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

DERI1000: A New Benchmark for Dataset Explainability Readiness

AI
Deep learning models are increasingly evaluated not only for predictive accuracy but also for their robustness, interpretability, and data quality dependencies.
Andrej Pisarcik, Robert Hudec, Roberta Hlavata   +2 more
doaj   +1 more source

Light‐Assisted 3D Printing Techniques and Photocrosslinking Strategies: Recent Advances in Musculoskeletal Tissue Engineering

Advanced Engineering Materials, EarlyView.
In this review, the current state of light‐assisted 3D printing as it pertains to engineering musculoskeletal tissues including bone, cartilage, skeletal muscle, tendon, and ligaments is summarized. Common printing techniques, photoreactive materials, and study design choices are compiled and reviewed.
Meagan Morgan, Bin Zhang, Roger Narayan
wiley   +1 more source

BenchBench: Benchmarking Automated Benchmark Generation

CoRR
Benchmarks are the de facto standard for tracking progress in large language models (LLMs), yet static test sets can rapidly saturate, become vulnerable to contamination, and are costly to refresh. Scalable evaluation of open-ended items often relies on LLM judges, introducing additional sources of bias and prompt sensitivity.
Yandan Zheng, Haoran Luo 0001, Zhenghong Lin, Wenjin Liu, Luu Anh Tuan   +4 more
openaire   +2 more sources