Results 131 to 140 of about 199,155 (292)

Study on the Path Optimization Method of Autonomous Navigation of Uncrewed Aerial Vehicles Integrating Multi-Sensor Data

IEEE Access
AI-driven and sensor-fusion methods for autonomous systems, our work addresses the critical challenge of enhancing UAV path planning through multi-sensor integration.
Guochuang Yan, Jiang Du, Song Chen, Xiaogeng Tian   +3 more
doaj   +1 more source

Design of Liquid Level Measurement System Using Multi Sensor Data Fusion for Improved Characteristics and Fault Detection [PDF]

Journal of Electrical and Electronics Engineering, 2016
Online validation of multi sensor data fusion based liquid level measurement technique using capacitance level sensor and ultrasonic level sensor is implemented in this work. The objectives of the proposed work is to calibrate level measurement system by
SANTHOSH K V Shashank Kumar
doaj  

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

A Fusion Tracking Algorithm for Electro-Optical Theodolite Based on the Three-State Transition Model

Sensors
This study presents a novel approach to address the autonomous stable tracking issue in electro-optical theodolite operating in closed-loop mode. The proposed methodology includes a multi-sensor adaptive weighted fusion algorithm and a fusion tracking ...
Shixue Zhang, Houfeng Wang, Liduo Song, Hongwen Li, Shuai Liu   +4 more
doaj   +1 more source

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

Combinatorial Synthesis of Next Generation Water‐Soluble Quaternized N‐Halamine Oligomers with Long‐Lasting Antiviral Properties

Advanced Functional Materials, EarlyView.
A combinatorial library of dual‐functional antiviral oligomers incorporating N‐halamine and quaternary ammonium functionalities is developed for long‐lasting antiviral activity. The lead materials exhibit rapid and durable antiviral activity against SARS‐CoV‐2 variants and influenza H1N1, with 4 to 5 log reduction in viral copies at 5 mg mL−1 ...
Eid Nassar‐Marjiya, Konda Reddy Kunduru, Krishanu Ghosal, Luna Rizik, Nofar Atari, Mahran Daifa, Neta Kutner, Bassma Khamaisi, Qi Wu, Simran Jindal, Merna Shaheen‐Mualim, Ranabir Majumder, Mahitosh Mandal, Michal Mandelboim, Shady Farah   +14 more
wiley   +1 more source

An approach to distributed asynchronous multi‐sensor fusion utilising data compensation algorithm

IET Radar, Sonar & Navigation
Multi‐sensor networks often encounter challenges such as inconsistent sampling times among local sensors and data loss during transmission. To address these issues, this paper employs a data loss compensation strategy to reconstruct missing data ...
Kuiwu Wang, Qin Zhang, Zhenlu Jin, Xiaolong Fu   +3 more
doaj   +1 more source

A novel framework for multi-sensor data fusion in bearing fault diagnosis using continuous wavelet transform and transfer learning

e-Prime: Advances in Electrical Engineering, Electronics and Energy
Intelligent fault diagnosis (IFD) is crucial in industrial settings, leveraging big data from various sensors and machine learning advancements to monitor critical components such as rolling bearings. While IFD-based deep learning and multi-sensor fusion
Iman Makrouf, Mourad Zegrari, Khalid Dahi, Ilias Ouachtouk   +3 more
doaj   +1 more source

Patterning the Void: Combining L‐Systems with Archimedean Tessellations as a Perspective for Tissue Engineering Scaffolds

Advanced Functional Materials, EarlyView.
This study introduces a novel multi‐scale scaffold design using L‐fractals arranged in Archimedean tessellations for tissue regeneration. Despite similar porosity, tiles display vastly different tensile responses (1–100 MPa) and deformation modes. In vitro experiments with hMSCs show geometry‐dependent growth and activity. Over 55 000 tile combinations
Maria Kalogeropoulou, Kenny A. van Kampen, Pierpaolo Fucile, Carlos Mota, Lorenzo Moroni   +4 more
wiley   +1 more source

Multi-sensor data fusion for underwater positioning

, 2022
El problema de la navegación de un vehículo submarino puede formalizarse mediante tres preguntas: posición, destino y trayectoria, es decir, "¿en qué lugar del océano está?", "¿a dónde va?" y "¿cómo puede llegar hasta allí?". Esta tesis doctoral se centra en encontrar la respuesta a la primera de esas tres preguntas, lo que también se conoce como ...
openaire   +1 more source