Results 131 to 140 of about 430,483 (293)

A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization

Sensors
In the complex underwater environment, it is hard to obtain accurate system noise prior information. If uncertainty system noise model is used in state determination, the precision will decrease.
Haoqian Huang, Chenhui Dong, Yutong Zhang, Shuang Zhang   +3 more
doaj   +1 more source

Dynamic Analysis of the Insurance Linked Securities Index [PDF]

This paper aims to provide a dynamic analysis of the insurance linked securities index. We are discussing the behaviour of the index for three years and pointing out the consequences of some major events like Katrina or the last and current financial ...
Dominique Guegan, Mathieu Gatumel
core  

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Chameleonic Color‐Variable Microbead Emitters for Multilevel Spectroscopic Encryption from Visible to Infrared Wavelengths

Advanced Optical Materials, EarlyView.
Whispering‐gallery‐mode microresonators with sharp resonant peaks enable photonic barcoding. Similar to a chameleon, a rare‐earth‐free microcavity with π‐conjugated PAHs enables visibleto‐near infrared color generation from a single microbead. The unique resonat emission (spectral barcode) can be dynamically transformed via excitation wavelength change,
Barun Kumar Barman, Keisuke Watanabe, Kenzo Deguchi, Shinobu Ohki, Kenjiro Hashi, Atsushi Goto, Tadaaki Nagao   +6 more
wiley   +1 more source

Impact of super-Gaussian electron distribution on driven ion acoustic wave fluid nonlinear evolution

AIP Advances
In laser-produced plasmas, the electron distribution function (EDF) driven by inverse bremsstrahlung heating tends to form a super-Gaussian distribution, which significantly influences ion acoustic waves (IAWs).
Zhijian Guo, Xiangfu Li, Xingrong Zheng
doaj   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Analysis of NMR Spin-Relaxation Data Using an Inverse Gaussian Distribution Function. [PDF]

Biophys J, 2018
Hsu A, Ferrage F, Palmer AG.
europepmc   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source