Results 51 to 60 of about 2,537,645 (154)
Advanced Intelligent Discovery, EarlyView.An explainable CatBoost model was trained to predict the bandgaps of 474 phosphate crystals based on composition and density descriptors. SHAP analysis identified two key variables—d‐electron‐count dispersion and atomic‐density dispersion—as the primary drivers of the model's predictions.
Wenhu Wang +3 more
wiley +1 more source
NLOS Identification and Mitigation for Geolocation Using Least-squares Support Vector Machines [PDF]
, 2017 This paper examines the problem of non-line-of- sight (NLOS) identification and mitigation for geolocation signals in mobile networks. A ray tracing tool is used to simulate a mobile radio network with fixed base stations and thousands of mobile stations.
Armour, Simon M D +7 more
core +1 more source
UWB NLOS identification and mitigation based on bidirectional encoder representations from transformer (BERT) deep learning [PDF]
The Non-Line-of-Sight (NLOS) phenomenon can hinder signal propagation and significantly reduce the accuracy of UWB for indoor positioning and navigation.
Sun, Meng +4 more
core +2 more sources
EURASIP Journal on Advances in Signal Processing, 2007 Non-line-of-sight (NLOS) identification and mitigation carry significant importance in wireless localization systems. In this paper, we propose a novel NLOS identification technique based on the multipath channel statistics such as the kurtosis, the mean
Hiroshi Inamura +3 more
doaj +1 more source
Advances in Electrical and Electronic Engineering, 2012 This paper provides a brief survey of the Time of Arrival (ToA) ranging method often used in the Range-based localization for node distance estimation. It is focused especially on the Non Line-of-Sight (NLoS) channel identification – one of the dominant ...
Vladimir Cipov, Lubomir Dobos, Jan Papaj
doaj +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Advanced Intelligent Systems, EarlyView.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
Chemistry – A European Journal, EarlyView.Understanding aromaticity has evolved from benzene‐centric concepts to a broad multidimensional framework spanning organic, inorganic, and excited‐state systems. This review highlights ambiguities between magnetic, electronic, geometric, and energetic descriptors, emphasizing the need for unified, multi‐criteria approaches.
Sílvia Escayola +2 more
wiley +1 more source
Developmental Dynamics, EarlyView.Abstract Background Fibrillins provide a scaffold for elastic fiber formation, which enables lung recoil and aortic compliance. Abnormal fibrillin microfibrils, as in Marfan syndrome, lead to enlarged alveoli, vascular stiffening, and aneurysms. Our earlier studies suggested that fibrillin function depends on O‐glucosylation of its epidermal growth ...
Sanjiv Neupane +4 more
wiley +1 more source
Analysis of kurtosis-based LOS/NLOS identification using indoor MIMO channel measurement [PDF]
, 2013 The location of the mobile station (MS) can be estimated from the distance measures between MS and several base stations (BS). However, the distance measure accuracy is degraded due to the complicated indoor environment, particularly non line-of-sight ...
Salmi, Jussi +2 more
core +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A “two‐in‐one” design strategy integrating guanidinium and carboxyl functional groups was developed to overcome the intrinsic trade‐off among SHG response, ultraviolet cutoff edge, and birefringence in DUV NLO crystals. Benefiting from non‐π‐conjugated electronic isolation, Zn‐GPA(II) simultaneously achieves a strong SHG response (2.1 × KH2PO4), an ...
Xiliang Jiang +8 more
wiley +1 more source