Results 131 to 140 of about 4,044,436 (277)

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Real-Time Arrow Detection and Scoring on Archery Targets Using YOLOv8 with Euclidean Distance-Based Zone Estimation

Journal of Applied Informatics and Computing
The current study aims to create an automated scoring system for archery target board using computer vision technologies. As archery has develop from a traditional practice to a competitive activity, the scoring procedures have become a crucial element ...
Safri Adam, Novi Aryani Fitri, Sarah Bibi, Muhammad Ridhwan Sufandi   +3 more
doaj   +1 more source

Severity assessment of COVID-19 disease: radiological visual score versus automated quantitative CT parameters using a pneumonia analysis algorithm [PDF]

Dario Baldi, Bruna Punzo, Andrea Colacino, Marco Aiello, Monica Franzese, Ludovico La Grutta, Luca Saba, Eduardo Bossone, Erasmo A. Passaro, Cesare Mantini, Carlo Cavaliere, Sergio Berti, Simona Celi, Antonella Meloni, Filippo Cademartiri, Erica Maffei   +15 more
openalex   +1 more source

Micropatterned Biphasic Printed Electrodes for High‐Fidelity on‐Skin Bioelectronics

Advanced Functional Materials, EarlyView.
Micropatterned biphasic printed electrodes achieve unprecedented skin conformity and low impedance by combining liquid‐metal droplets with microstructured 3D lattices. This scalable approach enables high‐fidelity detection of ECG, EMG, and EEG signals, including alpha rhythms from the forehead, with long‐term comfort and stability.
Manuel Reis Carneiro, Telmo Lopes, André F. Silva, Carmel Majidi, Mahmoud Tavakoli   +4 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer. [PDF]

PLoS One, 2023
Petäinen L, Väyrynen JP, Ruusuvuori P, Pölönen I, Äyrämö S, Kuopio T.   +5 more
europepmc   +1 more source

178 Fully automated coronary artery calcium score and risk categorization from non-ECG gated chest CT using deep learning and multiorgan segmentation: a validation study from national lung screening trial (NLST) [PDF]

Sudhir Rathore, Ashish Gautam, Prashant Raghav, Vijay Subramanya, Vikas Gupta, Samir Rathore, Srikanth Iyengar   +6 more
openalex   +1 more source

Microneedle‐Based Biofertilizer Delivery Improves Plant Growth Through Microbiome Engineering

Advanced Functional Materials, EarlyView.
This figure shows how microneedles are used to deliver biofertilizers to enhance plant growth through microbial migration, metabolic reprogramming, and changes in plant endogenous microbiome. Abstract This study presents a microneedle‐based system for the delivery of rhizospheric biofertilizers into plant tissues to enhance growth.
Zhicheng Le, Sevugan Mayalagu, Cheng‐Yen Chen, Raktim Bhattacharya, Abhishek Gupta, Jingyuan Li, Zhi Wei Norman Teo, Yufeng Shou, Arya Gopinath MP, Danni Zhong, Tedrick Thomas Salim Lew, Hao Yu, Naweed I. Naqvi, Sanjay Swarup, Andy Tay   +14 more
wiley   +1 more source

Chapter 7. Construct Validity, Length, Score, and Time in Holistically Graded Writing Assessments: The Case against Automated Essay Scoring (AES)

, 2012
Les Perelman
openalex   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source