Results 101 to 110 of about 1,032,480 (246)

Sparse Bayesian Learning for DOA Estimation in Heteroscedastic Noise

, 2017
The paper considers direction of arrival (DOA) estimation from long-term observations in a noisy environment. In such an environment the noise source might evolve, causing the stationary models to fail. Therefore a heteroscedastic Gaussian noise model is introduced where the variance can vary across observations and sensors.
Gerstoft, Peter, Nannuru, Santosh, Mecklenbräuker, Christoph F., Leus, Geert   +3 more
openaire   +2 more sources

Unravelling the Effects of Indonesia's Oil Palm Export Ban on Global Stock Markets

Australian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT Export bans are frequently used as trade policy instruments to stabilise domestic prices, but they often generate unintended consequences. This study examines the effects of Indonesia's palm oil export ban, introduced in April 2022 and lifted in May 2022, on the performance of the global agricultural sector and the stock markets of palm oil ...
Tim Ölkers, Charlotte‐Elena Reich, Anna Roeland, Oliver Mußhoff   +3 more
wiley   +1 more source

Wind turbines noise measurements inside homes

, 2019
Wind energy is a primary source for achieving the objectives of the Oil Free Society. However, noise emission is often a significant problem encountered during wind turbines operation.
Ciaburro G., Trematerra A., Iannace G., Berardi U.   +3 more
core  

Influences of noise on paddy chlorophyll mapping and associated uncertainty across heterogeneous landscapes using Sentinel-2 and hybrid models

Ecological Informatics
Satellite-derived crop functional traits are increasingly pivotal for effective agricultural monitoring and informed decision-making, satisfying the demands of sustainable, smart, and precision agriculture.
Giang Thi Phuong Thao, Nguyen An Binh, Tong Si Son, Le Thi Thu Ha   +3 more
doaj   +1 more source

An Embodied Multi-Sensor Fusion Approach to Visual Motion Estimation Using Unsupervised Deep Networks

Sensors, 2018
Aimed at improving size, weight, and power (SWaP)-constrained robotic vision-aided state estimation, we describe our unsupervised, deep convolutional-deconvolutional sensor fusion network, Multi-Hypothesis DeepEfference (MHDE).
E. Jared Shamwell, William D. Nothwang, Donald Perlis   +2 more
doaj   +1 more source

Who Moves First? Price Discovery by Institutional and Retail Investors

Accounting &Finance, EarlyView.
ABSTRACT This paper uses 77 million Finnish trades, classified as foreign institutional or domestic retail, to examine the drivers of price discovery. The results show that foreign institutional investors dominate price discovery overall, including during the Global Financial Crisis. Their informational advantage is explained by buy‐ and sell‐initiated
Zheng Wu, P. Joakim Westerholm, Shumi Akhtar   +2 more
wiley   +1 more source

Causal additive models with smooth backfitting

Journal of Causal Inference
A fully nonparametric approach to learning causal structures from observational data is proposed. The method is described in the setting of additive structural equation models with a link to causal inference.
Morville Asger B., Park Byeong U.
doaj   +1 more source

A balance between stability and flexibility: Adaptive patterns of self‐regulated learning processes shape game‐based learning

British Journal of Educational Technology, EarlyView.
Abstract To ensure learning efficiency in game‐based learning (GBL), learners must regulate cognitive, affective, metacognitive and motivational (CAMM) processes, collectively known as self‐regulated learning (SRL). SRL is dynamic and non‐linear, characterized by regulatory patterns and CAMM interactions that lead to macro‐level SRL behaviours. In this
Elizabeth B. Cloude, Stefan E. Huber, Jingwei Wei, Bianca Esmanhoto, Muhterem Dindar, Manuel Ninaus, Kristian Kiili   +6 more
wiley   +1 more source

Noise responses before and after noise abatement measures in a residential intervention project

, 2015
In a residential area exposed to road traffic noise a socio-acoustic longitudinal study was conducted to investigate the effects of a large intervention project on acoustical conditions and resident's noise responses.
Kihlman, Tor, Forss\ue9n, Jens, Gidlöf-Gunnarsson, Anita,, Öhrström, Evy, Gidl\uf6f-Gunnarsson, Anita, Kihlman, Tor,, Forssén, Jens, Gidlöf-Gunnarsson, Anita, Öhrström, Evy,, 6hrstr\uf6m, Evy, Forssén, Jens,   +10 more
core   +1 more source

Synthetic noise injection asymmetrically affects machine-learning quantification of Cd2+ and Pb2+ in multi-scan cyclic voltammetry

Chemical Engineering Journal Advances
Machine-learning quantification of toxic trace metals such as Cd2+ and Pb2+ from cyclic voltammetry (CV) reads concentration from peak features that a deterministic peak-finding step extracts from repeated scans, and its accuracy is limited by how stably
Alya Kamilah, Riyanarto Sarno, Kelly Rossa Sungkono, Rizqy Ahsana Putri, Taufiq Choirul Amri, Fadlilatul Taufany, Arif Abdullah Sagran, Sang-Seok Lee   +7 more
doaj   +1 more source