Results 61 to 70 of about 354,199 (330)
Multistage Fusion With Dissimilarity Regularization for SAR/IR Target Recognition
In this paper, we propose dissimilarity regularization with a multistage fusion stream for a synthetic aperture radar (SAR) and infrared (IR) sensor fusion using deep learning.
Young-Rae Cho +5 more
doaj +1 more source
Degeneration-Aware Localization with Arbitrary Global-Local Sensor Fusion
Global localization is a fundamental ability for mobile robots. Considering the limitation of single type of sensor, fusing measurements from multiple sensors with complementary properties is a valuable task for study.
Xiaqing Ding +4 more
doaj +1 more source
Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source
By analyzing multi-sensor information fusion system and hall for workshop of meta-synthetic engineering (HWME) essentially, a universal information fusion system of HWME based on multi-sensor is put forward.
Guang Yang, Shuofeng Yu, Shouwen Wen
doaj +1 more source
OctNetFusion: Learning Depth Fusion from Data
In this paper, we present a learning based approach to depth fusion, i.e., dense 3D reconstruction from multiple depth images. The most common approach to depth fusion is based on averaging truncated signed distance functions, which was originally ...
Bischof, Horst +3 more
core +1 more source
The Caenorhabditis elegans DPF‐3 and human DPP4 have tripeptidyl peptidase activity
The dipeptidyl peptidase IV (DPPIV) family comprises serine proteases classically defined by their ability to remove dipeptides from the N‐termini of substrates, a feature that gave the family its name. Here, we report the discovery of a previously unrecognized tripeptidyl peptidase activity in DPPIV family members from two different species.
Aditya Trivedi, Rajani Kanth Gudipati
wiley +1 more source
Sensor fusion for context understanding [PDF]
To answer the challenge of context-understanding for HCI, we propose and test experimentally a top-down sensor fusion approach. We seek to systematize the sensing process in two steps: first, decompose relevant context information in such a way that it can be described in a model of discrete facts and quantitative measurements; second, we build a ...
Huadong Wu, Siegel, Mel, Ablay, Sevim
openaire +1 more source
Distributed Fusion with Multi-Bernoulli Filter based on Generalized Covariance Intersection
In this paper, we propose a distributed multi-object tracking algorithm through the use of multi-Bernoulli (MB) filter based on generalized Covariance Intersection (G-CI).
Hoseinnezhad, Reza +5 more
core +1 more source
Disordered but rhythmic—the role of intrinsic protein disorder in eukaryotic circadian timing
Unstructured domains known as intrinsically disordered regions (IDRs) are present in nearly every part of the eukaryotic core circadian oscillator. IDRs enable many diverse inter‐ and intramolecular interactions that support clock function. IDR conformations are highly tunable by post‐translational modifications and environmental conditions, which ...
Emery T. Usher, Jacqueline F. Pelham
wiley +1 more source
Fault diagnosis (FD) and data fusion (DF) technologies implemented in the LabVIEW program were used for a ruthenium dioxide pH sensor array. The purpose of the fault diagnosis and data fusion technologies is to increase the reliability of measured data ...
Yi-Hung Liao +2 more
doaj +1 more source

