Results 61 to 70 of about 3,626 (230)

An effective ship detection approach combining lightweight networks with supervised simulation‐to‐reality domain adaptation

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Computer vision‐based ship detection using extensively labeled images is crucial for visual maritime surveillance. However, such data collection is labor‐intensive and time‐demanding, which hinders the practical application of newly built ship inspection systems. Additionally, well‐trained detectors are usually deployed on resource‐constrained
Ruixuan Liao, Yiming Zhang, Hao Wang, Linjun Lu, Zhengyi Chen, Xiaoyou Wang, Wenqiang Zuo   +6 more
wiley   +1 more source

TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides. [PDF]

Patterns (N Y), 2023
Zhou W, Liu Y, Li Y, Kong S, Wang W, Ding B, Han J, Mou C, Gao X, Liu J.   +9 more
europepmc   +1 more source

Large language model for post‐earthquake structural damage assessment of buildings

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract A rapid and accurate assessment of structural damage to buildings in the aftermath of earthquakes is critical to emergency responses and engineering retrofit decisions. However, current in situ building damage assessment is primarily conducted through visual inspections by engineering professionals and deep learning techniques using single ...
Yongqing Jiang, Jianze Wang, Xinyi Shen, Kaoshan Dai   +3 more
wiley   +1 more source

Multimodal Mamba with multitask learning for building flood damage assessment using synthetic aperture radar remote sensing imagery

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract Most post‐disaster damage classifiers perform best when destructive forces leave clear spectral or structural signatures. However, these signatures are often subtle or absent after inundation, where damage may be nonstructural and difficult to detect.
Yu‐Hsuan Ho, Ali Mostafavi
wiley   +1 more source

Performance Analysis of Sphere Packed Aided Differential Space-Time Spreading with Iterative Source-Channel Detection. [PDF]

Sensors (Basel), 2021
Khan HU, Minallah N, Masood A, Khalil A, Frnda J, Nedoma J.   +5 more
europepmc   +1 more source

Design of masonry structures using conditional generative adversarial networks fused with property text information

Computer-Aided Civil and Infrastructure Engineering, EarlyView.
Abstract The preliminary design process for masonry structures requires engineers to iteratively verify code compliance and manually develop structural layouts. While image‐to‐image translation models can automate layout synthesis, existing approaches fall short in incorporating material properties (e.g., compressive strength, rebar yield stress) as ...
Arash Teymori Gharah Tapeh, M. Z. Naser
wiley   +1 more source

A survey of downstream applications of evolutionary scale modeling protein language models

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract The evolutionary scale modeling (ESM) series is promising to revolutionize protein science and engineering through large language models (LLMs), providing a robust framework for understanding the relationships among sequences, structures, and functions of proteins.
Qingyu Yang, Jiale Yu, Jie Zheng
wiley   +1 more source

Design and Performance Analysis of a New Class of Rate Compatible Serial Concatenated Convolutional Codes

, 2005
Alexandre Graell i Amat, G. Montorsi, F. Vatta   +2 more
openalex   +2 more sources

Large language models for bioinformatics

Quantitative Biology, Volume 14, Issue 1, March 2026.
Abstract With the rapid advancements in large language model technology and the emergence of bioinformatics‐specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications.
Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu   +54 more
wiley   +1 more source

Evidential deep learning for trustworthy prediction of enzyme commission number. [PDF]

Brief Bioinform, 2023
Han SR, Park M, Kosaraju S, Lee J, Lee H, Lee JH, Oh TJ, Kang M.   +7 more
europepmc   +1 more source