Results 71 to 80 of about 15,501 (203)

Visibility Constrained Generative Model for Depth-based 3D Facial Pose Tracking

, 2019
In this paper, we propose a generative framework that unifies depth-based 3D facial pose tracking and face model adaptation on-the-fly, in the unconstrained scenarios with heavy occlusions and arbitrary facial expression variations.
Cai, Jianfei, Cham, Tat-Jen, Ngan, King Ngi, Pavlovic, Vladimir, Sheng, Lu   +4 more
core   +1 more source

Polanyi on crisis: The United States, fascism and ecological break‐down

Journal of Law and Society, EarlyView.
Abstract This article uses Karl Polanyi's understanding of the crisis inherent in liberal economics to analyse a contemporary crisis—Trump's global tariff agenda. It argues that Trump's tariff agenda conforms to Polanyi's interpretation of how the crisis of liberal economics can disintegrate into more malignant forces.
ROWAN ALCOCK
wiley   +1 more source

Tensor Representation in High-Frequency Financial Data for Price Change Prediction

, 2017
Nowadays, with the availability of massive amount of trade data collected, the dynamics of the financial markets pose both a challenge and an opportunity for high frequency traders.
Gabbouj, Moncef, Iosifidis, Alexandros, Kanniainen, Juho, Magris, Martin, Tran, Dat Thanh   +4 more
core   +1 more source

Extremely Fast Maximum Likelihood Estimation of High‐Order Autoregressive Models

Journal of Time Series Analysis, EarlyView.
ABSTRACT We consider the problem of exact maximum likelihood estimation of potentially high‐order (p>50$$ p>50 $$) autoregressive models. We propose an extremely fast coordinate‐wise algorithm for fitting autoregressive models. This fast algorithm exploits several properties of the negative log‐likelihood when parameterised in terms of partial ...
Daniel F. Schmidt, Enes Makalic
wiley   +1 more source

Disease Prediction System using Support Vector Machine and Multilinear Regression

, 2023
Evolution of modern technologies like data science and machine learning has opened the path for healthcare communities and medical institutions, to detect the diseases earliest as possible and it helps to provide better patient care. Accuracy of detecting the possible diseases is reduced when we do not have complete medical data.
Akshata Ringe, Tejaswini Shinde, Krushnalata Zurule, Omkar Patil   +3 more
openaire   +1 more source

Analysis of Models to Estimate Morbidity Rates of Respiratory Diseases Through Deep Learning

Tropical Medicine &International Health, EarlyView.
ABSTRACT Respiratory diseases remain a challenge in Brazil due to socioeconomic inequalities and environmental risks that intensify population vulnerability. This study compared XGBoost with a deep learning model using stacked Gated Recurrent Units (GRU), trained with morbidity data from respiratory diseases and exogenous variables such as per capita ...
Liliane Moreira Nery, Nícholas de Paula Nicomedes, Pedro Cesar Madureira de Godoy Camargo, Sidney Alves de Outeiro, Leopoldo André Dutra Lusquino Filho, Claudio Miceli de Farias, Darllan Collins da Cunha e Silva   +6 more
wiley   +1 more source

Radical Scavenging Activity: DFT and Multilinear Regression Studies of Benzofuran-1,3-thiazolidin-4-one Derivatives

Acta Chimica Slovenica
The free radical scavenging activity of benzofuran Schiff base and thiazolidinone derivatives has been investigated using the density functional theory (DFT) calculations. Three primary mechanisms were developed: sequential proton loss electron transfer
Fella Ati, Soraya Abtouche, Boubekeur Maouche, Meziane Brahimi   +3 more
doaj   +1 more source

Leaf Shedding During Drought Reduces Hydraulic Stress in Trees

AGU Advances, Volume 7, Issue 2, April 2026.
Abstract Leaf area has long been a proxy for ecosystem function. However, it can be highly variable even in the same forest types across space and time due to variations in local ecohydrology and climatic extremes such as droughts and heatwaves. Leaf shedding in response to drought has been documented at site‐scales, theoretically to avoid hydraulic ...
G. R. Quetin, L. D. L. Anderegg, A. T. Trugman   +2 more
wiley   +1 more source

Fat Mass Influences Femur Bone Strength and Geometry Parameters, but Not Bone Mineral Density, in Autoimmune Diabetes: A Pilot Study

Diabetes/Metabolism Research and Reviews, Volume 42, Issue 3, March 2026.
ABSTRACT Background Autoimmune diabetes (AD) increases fracture risk. Overweight worsens bone health despite increasing bone mineral density (BMD). This study examines how adiposity influences BMD and Dual X‐Ray Absorptiometry (DXA)‐derived parameters of bone geometry and strength in AD.
Renata Risi, Rocco Amendolara, Vahideh Abedi, Francesco De Vita, Federica Barbaro, Angela Balena, Mikiko Watanabe, Daniela Luverà, Angelo Lauria Pantano, Luca D'Onofrio, Raffaella Buzzetti, Ernesto Maddaloni, On behalf ofAD_OWOB study group   +12 more
wiley   +1 more source

Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models

AUTEX Research Journal, 2021
This work deals with determination of rapid and precise methods to predict the amount of sewing thread needed to sew a garment using different chain stitches of the class 400 (from 401 to 407 chain stitches).
Malek Sarah, Khedher Faouzi, Adolphe Dominique C., Jaouachi Boubaker   +3 more
doaj   +1 more source