Results 91 to 100 of about 462 (258)
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
Advanced Intelligent Discovery, EarlyView.The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Efficient Mitigation of Leakage-abuse Attacks for Searchable Encryption
, 2021 Dynamic searchable symmetric encryption (DSSE) is one of the key enablers for building encrypted databases. Current studies are not ready for practical uses due to security and performance issues.
VIET QUANG VO (11865164)
core +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Benchmarking Dynamic Searchable Symmetric Encryption with Search Pattern Hiding
, 2017 在這個雲端計算蓬勃發展的時代，可搜尋對稱式加密 (Searchable Symmetric Encryption; SSE) 成為一個日趨重要的技術。透過這個技術，我們可以將重要資料加密後儲存在不受信任的雲端伺服器上，並且能以關鍵字進行資料檢索。遠端伺服器不會知道我們所搜尋的關鍵字，也不會知道我們所要提取的檔案內容，但是卻可以傳回正確的資料給我們。然而，一個支援SSE的資料庫仍然不夠切實，因為資料不是永遠不變動的。一般來說，我們會經常修改資料，即使該資料儲存於遠端的伺服器上 ...
Wu, Chia-Feng, 吳嘉峰
core
Efficient searchable symmetric encryption for storing multiple source dynamic social data on cloud
, 2017 © 2016 Elsevier Ltd Cloud computing has greatly facilitated large-scale data outsourcing due to its cost efficiency, scalability and many other advantages.
Zhu, L, Chen, J, Liu, C
core +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
CSAKD: Determining Absolute Ligand Affinities From 19F NMR Chemical Shift Anisotropy
Angewandte Chemie, EarlyView.Affinity determination is crucial in drug discovery, yet remains difficult for weakly binding fragments. We introduce chemical shift anisotropy KD$K_{\text{D}}$ (CSAKD) by 19F$^{19}{\rm F}$ NMR relaxation experiments, a titration‐free method that requires no isotopic labeling.
Simon H. Rüdisser +2 more
wiley +2 more sources
Advanced Intelligent Discovery, EarlyView.We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi +3 more
wiley +1 more source
Verifiable conjunctive searchable symmetric encryption with result pattern hiding
Symmetric Searchable Encryption (SSE) guarantees the security of outsourced data without sacrificing search capability. Supporting conjunctive multi-keyword search makes the SSE more practical.
Chung-Nguyen, H.-H. (Huy-Hoang) +2 more
core +1 more source