Results 71 to 80 of about 355,693 (298)
Short-term prediction algorithm of air target track based on residual correction CNN-BiLSTM [PDF]
Zhihui kongzhi yu fangzhenTo solve the problem of low track prediction accuracy caused by the limitations of deep learning and the cumulative error generated by recursive prediction strategies, a short-term prediction algorithm for air target tracks based on residual correction ...
WANG Shuo, WU Nan, HUANG Jie, WANG Jiantao
doaj +1 more source
Reduction of Corrugation by Semi-Active Track
, 2004 This article discusses possibilities for application of semi-active actuators to reduce rail and wheel wear. A simple model of a vehicle/track interaction is presented. The model is extended with a model of semi-active actuators. The feedback control law
Preumont, A., Valasek, M., Vaculin, O.
core
Aging and Cancer, EarlyView.ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source
, 1911 Brownprint of Oregon Short Line Railroad, 4 track ash pit with 2 depressed tracks for Pocatello ...
Oregon Short Line Railroad
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Remote Assessment of Ataxia Severity in SCA3 Across Multiple Centers and Time Points
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Spinocerebellar ataxia type 3 (SCA3) is a genetically defined ataxia. The Scale for Assessment and Rating of Ataxia (SARA) is a clinician‐reported outcome that measures ataxia severity at a single time point. In its standard application, SARA fails to capture short‐term fluctuations, limiting its sensitivity in trials.
Marcus Grobe‐Einsler +20 more
wiley +1 more source
Track Irregularity Time Series Analysis and Trend Forecasting
Discrete Dynamics in Nature and Society, 2012 The combination of linear and nonlinear methods is widely used in the prediction of time series data. This paper analyzes track irregularity time series data by using gray incidence degree models and methods of data transformation, trying to find the ...
Jia Chaolong +3 more
doaj +1 more source
A TRIGGERED LIQUID TRACK CHAMBER WITH SHORT RESOLVING TIME [PDF]
Nuclear Instruments and Methods, 1963 The principle of a new type of track detector is described. Bubbles of gas are produced in oil by injection through a porous surface at the bottom of an oil container with transparent walls. An electric field can be applied to the liquid by means of plane electrodes.
openaire +2 more sources
, 1911 Brownprint of Oregon Short Line Railroad, 4 track ash pit with 2 depressed tracks for Pocatello ...
Oregon Short Line Railroad
core
Dynamic vehicle-track interaction with multiple short rail defects over long wavelength track settlement [PDF]
, 2019 Daily, hundreds of millions of train journeys are operated around the world. Trains are running on tracks at a wide range of speeds, causing dynamic effects onto track systems.
Aikawa, Akira +1 more
core +2 more sources
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source