Results 71 to 80 of about 5,661,692 (304)

Identification of (20R)‐protopanaxadiol from Panax ginseng as a novel anti‐SARS‐CoV‐2 compound

FEBS Open Bio, EarlyView.
We established a noninfectious BAC‐based SARS‐CoV‐2 replicon that enables antiviral screening under BSL‐2 conditions. Using this platform, we screened 373 food‐derived compounds and identified (20R)‐protopanaxadiol from Panax ginseng as a novel inhibitor of SARS‐CoV‐2 RNA replication, highlighting the value of safe replicon systems for antiviral ...
Midori Takeda, Natsue Maezono, Rina Uchikoshi, Nobuyuki Kato, Masanori Ikeda   +4 more
wiley   +1 more source

Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria

Scientific Reports
This paper provides an in-depth analysis and performance evaluation of four Solar Radiance (SR) prediction models. The prediction is ensured for a period ranging from a few hours to several days of the year.
Boumediene Ladjal, Mohamed Nadour, Mohcene Bechouat, Nadji Hadroug, Moussa Sedraoui, Abdelaziz Rabehi, Mawloud Guermoui, Takele Ferede Agajie   +7 more
doaj   +1 more source

Artificial Intelligence for IT Operations–Based Performance Optimization in Desktop Virtualization

Electrica
Gradient Boosting and XGBoost achieved the lowest root mean squared error (RMSE, ≤ 3.9 MHz) and the highest R-squared (R², ≥ 0.74), whereas SVR and KNN underperformed, likely due to data sparsity and high dimensionality.
Mehmet Akif Özdemir, Hikmetcan Özcan
doaj   +1 more source

Artificial intelligence with deep learning algorithms to model relationships between total tree height and diameter at breast height

Forest Systems, 2020
Aim of Study: As an innovative prediction technique, Artificial Intelligence technique based on a Deep Learning Algorithm (DLA) with various numbers of neurons and hidden layer alternatives were trained and evaluated to predict the relationships between ...
İlker Ercanli
doaj   +1 more source

Iterative Multiuser Minimum Symbol Error Rate Beamforming Aided QAM Receiver

, 2008
A novel iterative soft interference cancellation (SIC) aided beamforming receiver is developed for high-throughput quadrature amplitude modulation systems.
Tan, S., Chen, Sheng, Hanzo, L.
core   +1 more source

Evolution‐guided yeast complementation reveals functional differences in human PSPH variants

FEBS Open Bio, EarlyView.
Ancient genomes can help guide which human genetic variants are tested experimentally. This study applies that idea to PSPH, a gene involved in serine biosynthesis, and uses high‐throughput yeast complementation to compare variant function. The findings reveal measurable differences among selected alleles and illustrate the value of evolution‐guided ...
Mauricio Campa‐Álvarez, Diana Ascencio, Miguel Vallebueno‐Estrada, Eduardo González‐Orozco, Christian Eduardo Martínez‐Guerrero, Rafael Montiel, Alexander DeLuna   +6 more
wiley   +1 more source

Cricket performance predictions: a comparative analysis of machine learning models for predicting cricket player’s performance in the One Day International (ODI) world cup 2023

Здоров’я, спорт, реабілітація
Background and purpose Cricket, a globally renowned bat and ball sport, is the second most popular sport worldwide. The objective of the study is to utilize machine learning algorithms to predict the performance probabilities of Indian cricket ...
Swamynathan Sanjaykumar, Karthikeyan Udaichi, Gowtham Rajendiran, Marian Cretu, Zhanneta Kozina   +4 more
doaj   +1 more source

Vertical wind speed extrapolation using statistical approaches [PDF]

FME Transactions
The wind power industry has experienced a significant increase and popularity in recent times, and the latest statistics indicate that this sector is still thriving.
Nuha Hilal H., Balghonaim Adil, Pahlevi Rizka Reza, Rehman S., Mohandes M.   +4 more
doaj   +1 more source

Comparative Study of Predicting the Molecular Diffusion Coefficient for Polar and Non-polar Binary Gas Using Neural Networks and Multiple Linear Regressions [PDF]

Kemija u Industriji, 2019
In the current study, an artificial neural network (ANN) and multiple linear regressions (MLR) have been used to develop predictive models for the estimation of molecular diffusion coefficients of 1252 polar and non-polar binary gases at multiple ...
Naima Melzi, Latifa Khaouane, Yamina Ammi, Salah Hanini, Maamar Laidi, Hamid Zentou   +5 more
doaj   +1 more source

A note on mean squared prediction error under the unit root model with deterministic trend

, 2011
Assume that observations are generated from the first-order autoregressive (AR) model with linear time trend and the unknown model coefficients are estimated by least squares. This article develops an asymptotic expression for the mean squared prediction
Yu, Shu-hui, Shu-Hui Yu, Hung-Wen Cheng, Chien-Chih Lin, Yu, Shu-hui; Lin, Chien-chih; Cheng, Hung-wen   +4 more
core   +1 more source