Results 241 to 250 of about 3,494,638 (328)

F1-Score of different algorithms for TMD on SHL dataset.

Rui Li (4631), Xueyi Song (21464680), Yongliang Xie (21464683)   +2 more
openalex   +1 more source

Tunneling‐Controlled Fusion of Short‐ and Long‐Term Memory in SiO2/HfO2‐Based Neuromorphic Device for Time‐Series Prediction

Advanced Science, EarlyView.
Based on trap‐assisted tunneling, the devices can fuse STM/LTM, where the low switching energy of 1 pJ and stable low‐power retention (0.2 % loss ratio and 3.05 × 10−11 W) is achieved. Training in a long short‐term memory network it allows to analysis time‐series data and then makes precise long‐term predictions with an error ratio of 4.465 ...
Chengdong Yang, Lihua Xu, Linlin Su, Yue Wu   +3 more
wiley   +1 more source

Deep Learning-Based 3D Reconstruction for Defect Detection in Shipbuilding Sub-Assemblies. [PDF]

Sensors (Basel)
Arcano-Bea P, García-Fischer A, Gómez-González PP, Zayas-Gato F, Calvo-Rolle JL, Quintián H.   +5 more
europepmc   +1 more source

Performance metrics for seven classification models in predicting depression were evaluated on the test dataset. Metrics reported include accuracy, precision, recall, F1-score, and the area under the ROC curve (AUC). Random Forest and CatBoost achieved the highest overall accuracy (82.2%), with Random Forest obtaining the highest recall (0.94) and AUC (0.91), indicating its strong ability to identify depressed individuals.

Abdulzeid Yen Anafo (22656310), LaRon E. Nelson (11767201), Leo Wilton (438429), Vincent Uwumboriyhie Gmayinaam (15338643), Selasi Ocloo (22656313)   +4 more
openalex   +1 more source

CACLENS: A Multitask Deep Learning System for Enzyme Discovery

Advanced Science, EarlyView.
CACLENS, a multimodal and multi‐task deep learning framework integrating cross‐attention, contrastive learning, and customized gate control, enables reaction type classification, EC number prediction, and reaction feasibility assessment. CACLENS accelerates functional enzyme discovery and identifies efficient Zearalenone (ZEN)‐degrading enzymes.
Xilong Yi, Yingzhu Tan, Huikang Lin, Guoqing Zhang, Ye Tian, Aibo Wu   +5 more
wiley   +1 more source

Graph neural network-driven text classification for fire-door defect inspection in pre-completion construction. [PDF]

Sci Rep
Wang S.
europepmc   +1 more source

Violin plots of the F1-scores achieved by each method in the seven training organisms and the two validation organisms with more than 10 non-operon labels.

Rezvan Karaji (21956625), Lourdes Peña-Castillo (51044)   +1 more
openalex   +1 more source

His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models

Advanced Science, EarlyView.
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li, Tianqi Su, Bin Zhang, Wenkai Han, Sibin Zhang, Guiyin Sun, Yuwei Cong, Xin Chen, Jiping Qi, Yujie Wang, Shiguang Zhao, Hongxue Meng, Peng Liang, Xin Gao   +13 more
wiley   +1 more source

Optimizing Image Segmentation for Microstructure Analysis of High-Strength Steel: Histogram-Based Recognition of Martensite and Bainite. [PDF]

Materials (Basel)
Hallo F, Jażdżewski T, Bała P, Korpała G, Regulski K.   +4 more
europepmc   +1 more source

Existing research work on image-based mosquito classification (A: accuracy; P: precision; F: F1-score).

Abdullah Al Maruf (21446154), Md. Mahmudul Haque (21446157), Rownuk Ara Rumy (21446160), Jasmin Jahan Puspo (21446163), Zeyar Aung (6590729)   +4 more
openalex   +1 more source