Results 141 to 150 of about 31,005 (332)
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Crater Observing Bioinspired Rolling Articulator (COBRA)
Crater Observing Bio‐inspired Rolling Articulator (COBRA) is a modular, snake‐inspired robot that addresses the mobility challenges of extraterrestrial exploration sites such as Shackleton Crater. Incorporating snake‐like gaits and tumbling locomotion, COBRA navigates both uneven surfaces and steep crater walls.
Adarsh Salagame +4 more
wiley +1 more source
Nonviral neo‐nucleocapsids developed from a repurposed bacterial protein cage, and macrocyclic peptide pharmacophores via protein‐protein ligation, bacteria‐based directed evolution, lasso‐grafting, and mammalian cell‐based directed evolution enabled cell specific RNA delivery.
Daiki Kanayama +4 more
wiley +2 more sources
Size pattern leakage remains a critical issue in oblivious RAM (ORAM)-based Searchable Symmetric Encryption (SSE) schemes. Despite efforts to define security notions against size pattern leakage, existing studies either overly restrict analysis by ...
Kangmo Ahn +4 more
doaj +1 more source
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses +3 more
wiley +1 more source
Searchable Symmetric Encryption and its applications
In the age of personalized advertisement and online identity profiles, people’s personal information is worth more to corporations than ever. Storing data in the cloud is increasing in popularity due to bigger file sizes and people just storing more information digitally.
openaire +1 more source
gnSPADE integrates gene‐network structures into a probabilistic topic modeling framework to achieve reference‐free cell‐type deconvolution in spatial transcriptomics. By embedding gene connectivity within the generative process, gnSPADE enhances biological interpretability and accuracy across simulated and real datasets, revealing spatial organization ...
Aoqi Xie, Yuehua Cui
wiley +1 more source
Multi-sensor network tracking research utilizing searchable encryption algorithm in the cloud computing environment. [PDF]
Sun X, Li S.
europepmc +1 more source
New Constructions for Forward and Backward Private Symmetric Searchable Encryption [PDF]
Javad Ghareh Chamani +3 more
openalex +1 more source

