Results 111 to 120 of about 1,239,591 (239)
An Enhanced Adaptive Ensemble Kalman Filter for Autonomous Underwater Vehicle Integrated Navigation
Autonomous Underwater Vehicles (AUVs) rely on integrated navigation systems and corresponding filtering algorithms to ensure mission success and the spatiotemporal accuracy of sampled data.
Zeming Liang +6 more
doaj +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
A Sequential Monte Carlo Approach for Extended Object Tracking in the Presence of Clutter [PDF]
Extended objects are characterised with multiple measurements originated from ifferent locations of the object surface. This paper presents a novel Sequential Monte Carlo (SMC) approach for extended object tracking in the presence of clutter. The problem
Gning, Amadou +3 more
core
Abstract Premise Desert plant assemblages in southern California provide an opportunity to link patterns of community structure with climate‐driven vulnerability in a rapidly changing environment. California sustains an exceptionally diverse flora of approximately 4300 plant species, with 31% identified as endemic.
Hector Zumbado‐Ulate +4 more
wiley +1 more source
Monte Carlo Simulations for Real Estate Valuation [PDF]
We use the Adjusted Present Value (APV) method with Monte Carlo simulations for real estate valuation purposes. Monte Carlo simulations make it possible to incorporate the uncertainty of valuation parameters, in particular of future cash flows, of ...
Elion Jani, Martin Hoesli, André Bender
core
Sustainable Manufacturing Platforms for Closed‐Cycle Bioeconomy Applications
ABSTRACT The transition to a circular bioeconomy requires innovative production platforms that prioritize sustainability, resource efficiency, and waste minimization. Organic waste from agriculture, aquaculture, and food production represents an underutilized feedstock for biomanufacturing, contributing to a circular economy.
Yelizaveta Chernysh +2 more
wiley +1 more source
Abstract Premise In North America, Phragmites australis (common reed) has drawn a great deal of research attention. Non‐native P. australis subsp. australis is a noxious weed that has locally displaced native P. australis subsp. americanus in some areas.
Nicholas P. Tippery +8 more
wiley +1 more source
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka +4 more
wiley +1 more source
Aim Meropenem is a second‐line antimicrobial agent in the treatment of febrile neutropenia in onco‐haematological patients. A population pharmacokinetic/pharmacodynamic (PK/PD) analysis for assessing the relationship between meropenem exposure and C‐reactive protein (C‐RP) over time was conducted.
Chun Liu +7 more
wiley +1 more source

