Results 131 to 140 of about 128,668 (237)

Controllable Generation of Pathogen‐Specific Antimicrobial Peptides Through Knowledge‐Aware Prompt Diffusion Model

Advanced Science, EarlyView.
KPPepGen is a knowledge‐aware prompt diffusion model for the controllable generation of pathogen‐specific AMPs. It outperforms existing methods and is capable of simultaneously generating peptides for distinct pathogens, demonstrating superior performance with favorable properties and docking efficacy.
Yongkang Wang, Menglu Li, Feng Huang, Minyao Qiu, Wen Zhang   +4 more
wiley   +1 more source

Parameterized complexity of constraint satisfaction problems [PDF]

, 2005
Dániel Marx
openalex   +1 more source

Revealing a Pathway for Low‐Temperature Recrystallization in Germanium

Advanced Science, EarlyView.
This study reports the discovery that energy transferred to electrons and atoms by highly ionizing ions results in a disorder‐order (amorphous‐crystalline) phase transformation in noncrystalline (amorphous) Ge. This discovery unlocks low‐temperature recrystallization pathways in Ge, offering a nonthermal strategy for fabricating Ge‐based devices that ...
Gihan Velişa, Eva Zarkadoula, Decebal Iancu, Maria D. Mihai, Alexandre Boulle, Yang Tong, Da Chen, Yanwen Zhang, William J. Weber   +8 more
wiley   +1 more source

Enhanced natural parameterized quantum circuit

Physical Review Research
The classical-quantum interface for loading classical data into quantum systems is an indispensable component of quantum information processing, and the parameterized quantum circuit (PQC) represents significant methodology in this area.
Yuquan Chen, Yanjun Hou, Zeyuan Wang, Tianyun Wang, Ze Wu, Zhaokai Li, Xinhua Peng   +6 more
doaj   +1 more source

Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11

Sensors
Drone-view object detection models operating under low-light conditions face several challenges, such as object scale variations, high image noise, and limited computational resources.
Tianhang Weng, Xiaopeng Niu
doaj   +1 more source

The Potential of Cognitive‐Inspired Neural Network Modeling Framework for Computer Vision

Advanced Science, EarlyView.
In article number 202507730, Guorun Li, Lei Liu, Yuefeng Du, and co‐workers present a cognitive modeling framework (CMF) to bridge the ‘representation gap’ and ‘conceptual gap’ between cognitive theory and vision deep neural networks (VDNNs). The research findings provide new insights and solid theoretical support for VDNN modeling inspired by ...
Guorun Li, Lei Liu, Xiaoyu Li, Yuefeng Du, Zhenghe Song, Xiuheng Wu   +5 more
wiley   +1 more source

Quantum Computing Meets Deep Learning: A QCNN Model for Accurate and Efficient Image Classification

Mathematics
In deep learning, Convolutional Neural Networks (CNNs) serve as fundamental models, leveraging the correlational structure of data for tasks such as image classification and processing.
Sunil Prajapat, Manish Tomar, Pankaj Kumar, Rajesh Kumar, Athanasios V. Vasilakos   +4 more
doaj   +1 more source

Reconstructing Evolution of Natural Languages: Complexity and Parameterized Algorithms [PDF]

, 2006
Iyad Kanj, Luay Nakhleh, Ge Xia
openalex   +1 more source

SemiLT: A Multianchor Transfer Learning Method for Cross‐Modality Cell Label Annotation from scRNA‐seq to scATAC‐seq

Advanced Science, EarlyView.
A multianchor transfer learning method, SemiLT, enables accurate cell label annotation in sparse scATAC‐seq data by leveraging well‐annotated scRNA‐seq references. By addressing temporal discrepancies between modalities, SemiLT improves rare cell type identification and batch correction.
Zhitong Chen, Maoteng Duan, Xiaoying Wang, Bingqiang Liu   +3 more
wiley   +1 more source

Parameterized Complexity in Cognitive Modeling: Foundations, Applications and Opportunities [PDF]

, 2007
Iris van Rooij, Todd Wareham
openalex   +1 more source