Results 81 to 90 of about 600,300 (312)

A Survey of Forex and Stock Price Prediction Using Deep Learning

open access: yesApplied System Innovation, 2021
Predictions of stock and foreign exchange (Forex) have always been a hot and profitable area of study. Deep learning applications have been proven to yield better accuracy and return in the field of financial prediction and forecasting.
Zexin Hu, Yiqi Zhao, Matloob Khushi
doaj   +1 more source

Interpreting the effects of DNA polymerase variants at the structural level

open access: yesMolecular Oncology, EarlyView.
Using MAVISp and molecular dynamics simulations, we analyzed over 60 000 missense variants in POLE and POLD1 from ClinVar, COSMIC, cBioPortal, and saturation mutagenesis. Identified mechanistic indicators, including stability, binding, and long‐range, enable structural interpretation, providing ACMG‐like evidence for possible reclassification of VUS ...
Matteo Arnaudi   +7 more
wiley   +1 more source

Comportamento estocástico do algoritmo kernel least-mean-square [PDF]

open access: yes, 2012
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Algoritmos baseados em kernel têm-se tornado populares no processamento não-linear de sinais.
Parreira, Wemerson Delcio
core  

New adjusted missing value imputation in multiple regression with simple random sampling and rank set sampling methods.

open access: yesPLoS ONE
This research compared the efficiency of several adjusted missing value imputation methods in multiple regression analysis. The four imputation methods were the following: regression-ratio quartile1,3 (R-RQ1,3) imputation of Al-Omari, Jemain and Ibrahim;
Juthaphorn Sinsomboonthong   +1 more
doaj   +1 more source

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

open access: yesMolecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy   +10 more
wiley   +1 more source

Transmitter-preprocessing-assisted cooperative downlink transmission in DS-CDMA systems experiencing propagation path loss and Nakagami-m fading [PDF]

open access: yes, 2009
In this contribution we propose and investigate a relay diversity transmission scheme for the direct-sequence code-division multiple-access (DS-CDMA) downlink, where each (destination) mobile terminal (MT) is aided by a cluster of relays for achieving ...
Yang, Lie-Liang, Fang, Wei, Hanzo, Lajos
core   +1 more source

Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications

open access: yesEnergies, 2014
The best Weibull distribution methods for the assessment of wind energy potential at different altitudes in desired locations are statistically diagnosed in this study.
Abul Kalam Azad   +2 more
doaj   +1 more source

Comparison of adaptive optical scanning holography based on new evaluation methods

open access: yesScientific Reports, 2023
Adaptive Optical Scanning Holography (AOSH) represents a powerful technique that employs an adaptive approach to selectively omit certain lines within holograms, guided by the utilization of Normalized-Mean-Error (NME) as a predictive measure.
Jilu Duan   +6 more
doaj   +1 more source

Clinical performance of the urine‐based TERT promoter AbsoluteQ Digital PCR for non‐invasive detection of bladder cancer

open access: yesMolecular Oncology, EarlyView.
A urine‐based digital PCR assay targeting two hotspot TERT promoter variants detected bladder cancer with high sensitivity and no false positives in this case–control cohort. The streamlined AbsoluteQ workflow outperformed Sanger sequencing and supports non‐invasive molecular testing for bladder cancer detection.
Anna Nykel   +12 more
wiley   +1 more source

Kernel Mean P Power Error Loss for Robust Two-Dimensional Singular Value Decomposition [PDF]

open access: yes, 2019
Traditional matrix-based dimensional reduction methods, e.g., two-dimensional principal component analysis (2DPCA) and two-dimensional singular value decomposition (2DSVD), minimize mean square errors (MSE), which is sensitive to outliers.
Gao, Y, Sun, C, Zhang, M, Blumenstein, M
core   +1 more source

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