Results 131 to 140 of about 484,401 (253)

The differences in essential facial areas for impressions between humans and deep learning models: An eye‐tracking and explainable AI approach

British Journal of Psychology, EarlyView.
Abstract This study explored the facial impressions of attractiveness, dominance and sexual dimorphism using experimental and computational methods. In Study 1, we generated face images with manipulated morphological features using geometric morphometrics. In Study 2, we conducted eye tracking and impression evaluation experiments using these images to
Takanori Sano, Jun Shi, Hideaki Kawabata
wiley   +1 more source

Acral Mesenchymal Spindle Cell Neoplasm With a Novel HMGA2::NCOA2 Fusion

Journal of Cutaneous Pathology, EarlyView.
ABSTRACT Molecular profiling has revolutionized the field of soft tissue pathology, enhancing diagnostic precision and treatment strategies. The integration of molecular analysis and immunohistochemistry has been crucial for classifying diagnostically challenging acral mesenchymal neoplasms.
Grace Z. Armstrong, Carina A. Dehner, Eitan Halper‐Stromberg, Esther Baranov, Anna C. Eden, Rachel P. Kowal   +5 more
wiley   +1 more source

Minuman Keras dalam Masyarakat Batavia

Fajar Historia: Jurnal Ilmu Sejarah dan Pendidikan
This article reviews the book Minuman Keras di Batavia Akhir Abad XIX (Alcoholic Beverages in Batavia in the Late 19th Century) by Yusana Sasanti Dadtun, which examines the socio-economic history of alcoholic beverages in Batavia at the end of the 19th ...
Muhammad Lingga Andana, Silviyana Damayanti, Miftahuddin Miftahuddin   +2 more
doaj   +1 more source

PENINGKATAN SIKAP KERJA KERAS DAN TANGGUNG JAWAB SISWA DALAM PEMBELAJARAN MATEMATIKA MELALUI STRATEGI COURSE REVIEW HORAY(PTK Kelas VIII Semester Genap SMP Negeri 1 Sambi Tahun Ajaran 2013/2014) [PDF]

, 2014
Penelitian ini bertujuan untuk meningkatkan sikap kerja keras dan tanggung jawab siswa dalam pembelajaran matematika melalui strategi Course Review Horay pada siswa kelas VIII B SMP Negeri 1 Sambi.
, Masduki, S.Si, M.Si, Fitriastuti, Wahyu   +1 more
core  

Hematopathology Practice in the Digital Era: What has Changed?

International Journal of Laboratory Hematology, EarlyView.
ABSTRACT Hematopathology workflows are complex, since they include numerous data points necessary for guiding further testing, diagnosis, and patient management. The workflows start with complete blood cell counts, with subsequent morphologic evaluation of peripheral blood (PB) and bone marrow (BM).
Olga Pozdnyakova
wiley   +1 more source

SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

Computer Methods in Applied Mechanics and Engineering, 2020
E. Haghighat, R. Juanes
semanticscholar   +1 more source

Assessment of two minimally invasive methodologies for sex identification in the European eel, Anguilla anguilla

Journal of Fish Biology, EarlyView.
Abstract Sex is an important driver of variation in behaviour, ecology and physiology. Sex identification in the Critically Endangered European eel (Anguilla anguilla) currently requires fish sacrifice, or the use of morphological differences such as body length, which can be inaccurate in certain habitats and at intermediate body lengths.
Michael J. Williamson, Jack A. Brand, Kevin Hopkins, Luke O'Connor, Matthew W. Perkins, Christopher Sergeant, Simon Spiro, Taina Strike, Jessica Whinfield, Rosie S. Williams, Ethan Wrigglesworth, Rosalind M. Wright, Adam T. Piper   +12 more
wiley   +1 more source

Deep learning assisted high‐resolution microscopy image processing for phase segmentation in functional composite materials

Journal of Microscopy, EarlyView.
Abstract In the domain of battery research, the processing of high‐resolution microscopy images is a challenging task, as it involves dealing with complex images and requires a prior understanding of the components involved. The utilisation of deep learning methodologies for image analysis has attracted considerable interest in recent years, with ...
Ganesh Raghavendran, Bing Han, Fortune Adekogbe, Shuang Bai, Bingyu Lu, William Wu, Minghao Zhang, Ying Shirley Meng   +7 more
wiley   +1 more source

Optimising Sleep Stage Detection Using a Minimal Non‐EEG Physiological Signal Set and Deep Learning

Journal of Sleep Research, EarlyView.
ABSTRACT Automatic sleep stage classification is essential for enabling non‐invasive, at‐home monitoring. However, current methods often rely on electroencephalogram (EEG) signals and ad‐hoc development approaches that limit reproducibility. We present a reproducible engineering framework for a deep learning model based on the U‐Net architecture that ...
Ángel Serrano Alarcón, Maksym Gaiduk, Natividad Martínez Madrid, Juan Antonio Ortega, Ralf Seepold   +4 more
wiley   +1 more source

A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features

Orthopaedic Surgery, Volume 17, Issue 5, Page 1513-1524, May 2025.
This study developed an automated distal radius fracture classification system based on statistical shape model (SSM) feature extraction and neural network classification. The method first extracts point cloud data from CT images, then extracts fracture features through registration, downsampling, and PCA dimensionality reduction, before inputting them
Xing‐bo Cai, Ze‐hui Lu, Zhi Peng, Yong‐qing Xu, Jun‐shen Huang, Hao‐tian Luo, Yu Zhao, Zhong‐qi Lou, Zi‐qi Shen, Zhang‐cong Chen, Xiong‐gang Yang, Ying Wu, Sheng Lu   +12 more
wiley   +1 more source