Results 101 to 110 of about 3,330,790 (253)
Benchmarking Dynamic Searchable Symmetric Encryption with Search Pattern Hiding
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
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley +1 more source
How to Construct UC-Secure Searchable Symmetric Encryption Scheme [PDF]
A searchable symmetric encryption (SSE) scheme allows a client to store a set of encrypted files on an untrusted server in such a way that he can efficiently retrieve some of the encrypted files ...
Kaoru Kurosawa, Yasuhiro Ohtaki
core
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
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
Searchable symmetric encryption
The paper aims to study the various Searchable Symmetric Encryption (SSE) schemes available [1,2,3,4,5] to understand the feasibility and efficiency of the schemes in helping to keep our data secure, when a huge amount of data is stored in a third-party ...
Thio, Brian Yu Li
core
Harnessing Machine Learning to Understand and Design Disordered Solids
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
When Biology Meets Medicine: A Perspective on Foundation Models
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
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
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

