Results 71 to 80 of about 250,329 (273)

Symbol Significances in Fakhir Mohammad Paintings 1980 - 2010

الاكاديمي, 2015
Address the current research study " Symbol Significances in Fakhir Mohammad Paintings " in an attempt to detect signs of the icon in the artist's fee .
Eanas Mahdi Ibrahim al-Saffar
doaj   +1 more source

Supervised Matrix Factorization Hashing With Quantitative Loss for Image-Text Search

IEEE Access, 2020
Image-text hashing approaches have been widely applied in large-scale similarity search applications due to their efficiency in both search speed and storage efficiency.
Huan Zhao, Song Wang, Xiaolin She, Chenghui Su   +3 more
doaj   +1 more source

SKOOTS: Skeleton‐Oriented Object Segmentation for Mitochondria in High‐Resolution Cochlear EM Datasets

Advanced Science, EarlyView.
Skeleton‐oriented object segmentation (SKOOTS) introduces a new strategy for 3D mitochondrial instance segmentation by predicting explicit skeletons rather than relying on boundary cues. This approach enables robust analysis of densely packed organelles in large FIB‐SEM datasets.
Christopher J. Buswinka, Richard T. Osgood, Hidetomi Nitta, Artur A. Indzhykulian   +3 more
wiley   +1 more source

Complex Network Algorithm for Glossary Formation Context-Related Predictive Terms

Современные информационные технологии и IT-образование, 2023
This article describes the process of creating a glossary of terms for a specific domain, which is the initial step in knowledge modeling. In the context of converging trends and interdisciplinary connections in the development of complex systems ...
Oleg Popov, Adrian Grosu, Sergey Kramarov   +2 more
doaj   +1 more source

Design of Safe and Efficient Adenine Base Editors via Protein Language Model Screening for Osteoarthritis Treatment

Advanced Science, EarlyView.
ABSTRACT Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single‐nucleotide variants. While the current efficient version of adenine base editors (ABEs), such as ABE8e, exhibits exceptional efficiency for A‐to‐G conversions, their clinical translation is hindered by ...
Jiawei Yao, Dalin Chen, Ziyi Zhang, Jingxuan Ren, Chengcheng Zhao, Shengfang Wang, Mengyu Shang, Dawei Jiang, Yinuo Li, Su'an Tang, Kai Li, Xiaohui Zhang, Xiaogang Wang   +12 more
wiley   +1 more source

Reinforest: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search Models

2024 IEEE International Conference on Source Code Analysis and Manipulation (SCAM)
This paper introduces a novel code-to-code search technique that enhances the performance of Large Language Models (LLMs) by including both static and dynamic features as well as utilizing both similar and dissimilar examples during training. We present the first-ever code search method that encodes dynamic runtime information during training without ...
Saieva, Anthony, Chakraborty, Saikat, Kaiser, Gail   +2 more
openaire   +2 more sources

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

Advanced Science, EarlyView.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He, Jing Li, Tian Guan, Yifei Ma, Zimo Zhao, Yanxia Wang, Hongjing Chen, Yingming Xu, Shuang Ge, Yexing Zhang, Yizhi Wang, Xinrui Chen, Lianghui Zhu, Yiqing Liu, Qingxia Hou, Shuyan Zhao, Xiaoqin Wang, Lili Ma, Peizhen Hu, Qiang Huang, Zihan Wang, Zhiyuan Shen, Junru Cheng, Siqi Zeng, Jiurun Chen, Zhen Song, Chao He, Zhe Wang, Yonghong He   +28 more
wiley   +1 more source

ExCS: accelerating code search with code expansion

Scientific Reports
Efficiently searching and reusing code from expansive codebases is pivotal for enhancing developers’ productivity. In recent times, the emergence of deep learning-driven neural ranking models, characterized by their vast dimensions and intricate ...
Siwei Huang, Bo Cai, Yaoxiang Yu, Jian Luo   +3 more
doaj   +1 more source

Ranking-based Deep Cross-modal Hashing

, 2019
Cross-modal hashing has been receiving increasing interests for its low storage cost and fast query speed in multi-modal data retrievals. However, most existing hashing methods are based on hand-crafted or raw level features of objects, which may not be ...
Domeniconi, Carlotta, Guo, Maozu, Liu, Xuanwu, Ren, Yazhou, Wang, Jun, Yu, Guoxian   +5 more
core   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source