Results 81 to 90 of about 14,041 (338)

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

A hybrid fluid simulation on the Graphics Processing Unit (GPU) [PDF]

, 2008
This thesis presents a method to implement a hybrid particle/grid uid simulation on graphics hardware. The goal is to speed up the simulation by exploiting the parallelism of the graphics processing unit, or GPU.
Flannery, Rebecca Lynn
core  

Inter-Block GPU Communication via Fast Barrier Synchronization

, 2009
The graphics processing unit (GPU) has evolved from a ï¬xed-function processor with programmable stages to a programmable processor with many ï¬xed-function components that deliver massive parallelism.
Feng, Wu-chun, Xiao, Shucai, null Shucai Xiao, null Wu-chun Feng   +3 more
core   +1 more source

Biometric face recognition method using graphics processing unit system

, 2023
The expansion of biometric applications and databases is worrying. Processing extensive or sophisticated biometric data results in longer wait times, which might restrict application usefulness.
Abdalrahman R. Qubaa, Mohammed Wajid Al-Neama, R. Qubaa, Abdalrahman, Abeer A. Mohamad Alshiha, A. Mohamad Alshiha, Abeer, Wajid Al-Neama, Mohammed   +5 more
core   +1 more source

GPU-Accelerated Parallel FDTD on Distributed Heterogeneous Platform

International Journal of Antennas and Propagation, 2014
This paper introduces a (finite difference time domain) FDTD code written in Fortran and CUDA for realistic electromagnetic calculations with parallelization methods of Message Passing Interface (MPI) and Open Multiprocessing (OpenMP). Since both Central
Ronglin Jiang, Shugang Jiang, Yu Zhang, Ying Xu, Lei Xu, Dandan Zhang   +5 more
doaj   +1 more source

Accelerating CCSD(T) on Graphical Processing Units (GPUs)

The Journal of Physical Chemistry A
35 pages, 10 ...
O. Jonathan Fajen, Joseph E. Kelly, Edward G. Hohenstein, Todd J. Martinez   +3 more
openaire   +2 more sources

MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion

Advanced Science, EarlyView.
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong, Ji Ma, Yidan Lu, Jiahui Zhang, Wanyue Li, Yeke Chen, Teng Zhang, Xuechao Chen, Zhangguo Yu, Peng Lu   +9 more
wiley   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

The hardware accelerator debate : a financial risk case study using many-core computing

, 2015
The risk of reinsurance portfolios covering globally occurring natural catastrophes, such as earthquakes and hurricanes, is quantified by employing simulations.
Blesson Varghesea, Varghese, Blesson
core   +1 more source

Diffusion‐Based Generative Model With Scaffold‐Hopping Strategy Yields Highly Potent Bioactive Molecules

Advanced Science, EarlyView.
SMarT‐Diff introduces a multi‐objective generative paradigm that integrates scaffold hopping with structure‐aware scoring to enable controlled exploration beyond the training distribution. The framework consistently balances drug‐likeness, synthesizes accessibility and bioactivity, yielding chemically diverse candidates with enhanced properties.
Yuwei Yang, Xiaoqing Gong, Shukai Gu, Jing Li, Bo Liu, Yanan Tian, Qianqian Zhang, Xiaojun Yao, Huanxiang Liu   +8 more
wiley   +1 more source