Results 231 to 240 of about 822,037 (305)

Imaging prediction of KRAS mutation in patients with rectal cancer through deep metric learning using pretreatment [¹⁸F]Fluorodeoxyglucose positron emission tomography/computed tomography. [PDF]

Br J Radiol, 2023
Wu KC, Chen SW, Hsieh TC, Yen KY, Chang CJ, Kuo YC, Hsu YJ, Chang RF, Kao CH.   +8 more
europepmc   +1 more source

High‐Entropy Alloy Design Toward Cobalt Substitution for High Hardness and Low Wear Rate Using X–Cr–Fe–Mn–Ni System

Advanced Engineering Materials, EarlyView.
This study explores the replacement of cobalt using the high‐entropy alloy design strategy for wear‐resistant components operating at high temperatures. Starting from the Cantor alloy, cobalt is substituted with Cu, Al, V, or Mo. Metallurgical and tribological analyses reveal that aluminum, vanadium, and molybdenum effectively strengthen the developed ...
Rafaël Jénot, Laurent Peltier, Fodil Meraghni, Mathieu Marquer, Oriane Baulin, Clotilde Macke‐Bart   +5 more
wiley   +1 more source

Attempt to extract features and classify subjective poor physical conditions in facial images using deep metric learning. [PDF]

Artif Life Robot, 2023
Hattori T, Nagumo K, Oiwa K, Nozawa A.
europepmc   +1 more source

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

Rare bioparticle detection via deep metric learning. [PDF]

RSC Adv, 2021
Luo S, Shi Y, Chin LK, Zhang Y, Wen B, Sun Y, Nguyen BTT, Chierchia G, Talbot H, Bourouina T, Jiang X, Liu AQ.   +11 more
europepmc   +1 more source

An XGBoost-Based Machine Learning Approach to Simulate Carbon Metrics for Forest Harvest Planning [PDF]

Bibek Subedi, Alexandre Morneau, Luc LeBel, Shuva Gautam, Guillaume Cyr, Roland Tremblay, Jean-François Carle   +6 more
openalex   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. [PDF]

Front Digit Health, 2023
Paromita P, Mundnich K, Nadarajan A, Booth BM, Narayanan SS, Chaspari T.   +5 more
europepmc   +1 more source

Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD) [PDF]

, 2013
Qi Qian, Rong Jin, Jinfeng Yi, Lijun Zhang, Shenghuo Zhu   +4 more
openalex   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source