Results 71 to 80 of about 186,290 (272)
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Underwater Positioning Method Based on Vision-Inertia-Pressure Fusion
In underwater unstructured environments, robots face difficulties in relying on external base stations for localization. Therefore, autonomous localization using multi-sensor fusion has significant application value in such settings.
Jian ZHANG +4 more
doaj +1 more source
This review provides an overview of bio‐based polymer sources, their unique functional properties and their environmental impact, and addresses their role as sustainable alternatives. It discusses end‐of‐life options, including composting and anaerobic digestion for renewable energy.
Sabina Kolbl Repinc +8 more
wiley +1 more source
Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspectral ...
Wenzhi Liao +5 more
doaj +1 more source
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
Using Bayesian Programming for Multisensor Multi-Target Tracking in Automative Applications [PDF]
A prerequisite to the design of future Advanced Driver Assistance Systems for cars is a sensing system providing all the information required for high-level driving assistance tasks.
Bessiere, P +3 more
core +2 more sources
Optimal multisensor data fusion for linear systems with missing measurements
Multisensor data fusion has attracted a lot of research in recent years. It has been widely used in many applications especially military applications for target tracking and identification.
Mohamed, Shady M., Nahavandi, Saeid
core +1 more source
Copy Number Variants and Their Association With Intracerebral Hemorrhage Risk: A Case–Control Study
ABSTRACT Introduction Intracerebral Hemorrhage (ICH) is a leading cause of morbidity and mortality worldwide and lacks effective therapeutic interventions. Despite previous studies, the genetic underpinnings of ICH remain poorly understood. We sought to investigate the role of copy number variants (CNVs) in ICH pathophysiology to identify novel ...
Savvina Prapiadou +12 more
wiley +1 more source
With the continuous development of intelligent sensor technology and artificial intelligence, the application of artificial intelligence feature recognition at the level of intelligent sensor information acquisition to urban landscape analysis has become
Dayan Li
doaj +1 more source
Representation Learning and Nature Encoded Fusion for Heterogeneous Sensor Networks
Target detection based on heterogeneous sensor networks is considered in this paper. Fusion problem is investigated to fully take advantage of the information of multi-modal data.
Longwei Wang, Qilian Liang
doaj +1 more source

