Seismic assessment of cylindrical storage tanks to records with different frequency contents considering fluid–structure–soil/foundation interaction by Ayman Abd-Elhamed, Sayed Mahmoud

“…This study aims to primarily assess the dynamic behavior of ground-supported cylindrical tanks to real near-fault earthquake records with different frequency contents including soil-structure interaction effects. …”
Get full text

An Image Fusion Algorithm for Sustainable Development Goals Satellite-1 Night-Time Light Images Based on Optimized Image Stretching and Dual-Domain Fusion by Kedong Li, Bo Cheng, Xiaoming Li, Xiaoping Zhang, Guizhou Wang, Jie Gao, Qinxue He, Yaocan Gan

Get full text

CSCA-YOLOv8: A lightweight network model for evaluating drought resistance in mung bean. by Dongshan Jiang, Jinyang Liu, Haomiao Zhang, Wenxiang Liang, Ziqiu Luo, Wenlong An, Shicong Li, Xin Chen, Xingxing Yuan, Shangbing Gao

Get full text

An Evaluation of the Sensitivity of a Source Term Estimation Methodology of Sensor Configuration in an Urban-like Environment by Panagiotis Gkirmpas, Fotios Barmpas, George Tsegas, George Efthimiou, Paul Tremper, Till Riedel, Christos Vlachokostas, Nicolas Moussiopoulos

Get full text

Application of Levenberg-Marquardt Backpropagation Algorithm in Artificial Neural Network for Self-Calibration of Deflection Type Wheatstone Bridge Circuit in CO Electrochemical Ga... by Amirhosein Asilian, S. Mohammadali Zanjani

“…The Levenberg-Marquardt backpropagation algorithm (LMBP) is utilized in the Artificial âNeural Network model to minimize the Mean Squared Error (MSE) and identify the most suitable parameters in the âproposed method.ââ âThe model under consideration has been developed and trained using real-time data.ââ âBased on âthe experimental and evaluation outcomes, it can be concluded that the suggested model has an MSE value of ââ0.28249 and an R2 coefficient of determination of 0.99992, indicating high accuracy and precision. …”
Get full text

Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Paki... by Mirza Waleed, Muhammad Sajjad

Get full text

Comparative Global Assessment and Optimization of LandTrendr, CCDC, and BFAST Algorithms for Enhanced Urban Land Cover Change Detection Using Landsat Time Series by Taku Murakami, Narumasa Tsutsumida

“…This study aims to systematically evaluate and optimize three widely used algorithms—LandTrendr, CCDC, and BFAST—selected for their proven capabilities in different land cover change contexts and distinct algorithmic approaches. …”
Get full text

Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

Get full text

Timing of activation of different inspiratory muscles during incremental inspiratory loading in healthy adults: A cross-sectional study by Umi Matsumura, Antenor Rodrigues, Tamires Mori, Peter Rassam, Marine Van Hollebeke, Dmitry Rozenberg, Laurent Brochard, Ewan C Goligher, Darren Roblyer, W Darlene Reid

“…# Purpose To evaluate whether the onset and duration of electromyography (EMG) activity of different inspiratory muscles vary during an incremental inspiratory threshold loading (ITL) in healthy adults and whether it is associated with dyspnea and inspiratory mouth pressure (Pm) at task failure…”
Get full text

Filtration of histogram evaluation of probability density based on fuzzy data accessibility to a grouping interval by A. V. Ausiannikau, V. M. Kozel

Get full text

Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van by Pinar Karakus

“…In 2017, the highest producer accuracy, user accuracy, overall accuracy, kappa, and f score evaluation criteria were all 100% with the SVM algorithm and AWEI. …”
Get full text

Quantitative analysis of deep learning-based denoising model efficacy on optical coherence tomography images with different noise levels by Furkan Kirik, Farid Iskandarov, Kamile Melis Erturk, Hakan Ozdemir

“…Background: To quantitatively evaluate the effectiveness of the Noise2Noise (N2N) model, a deep learning (DL)-based noise reduction algorithm, on enhanced depth imaging-optical coherence tomography (EDI-OCT) images with different noise levels. …”
Get full text

Improving heat exchanger fouling detection for phosphoric acid concentration units: A hybrid inverse approach integrating genetic algorithms and the Levenberg-Marquardt technique by Ridha Zitouni, Ali Fguiri, Amine Aymen Assadi, Mohammod Hafizur Rahman, Abdetif Amrane, Juan Pedro Solano, Mohamed-Razak Jeday

“…Different optimization methods, such as the genetic algorithm (GA) and the hybridization of the genetic algorithm with the Levenberg-Marquardt (LM) method, are employed. …”
Get full text

Development and validation of a prediction model for coronary heart disease risk in depressed patients aged 20 years and older using machine learning algorithms by Yicheng Wang, Yicheng Wang, Yicheng Wang, Chuan-Yang Wu, Hui-Xian Fu, Jian-Cheng Zhang, Jian-Cheng Zhang, Jian-Cheng Zhang

“…Several evaluation metrics were employed to assess and compare the performance of eight different machine learning models, aiming to identify the most effective algorithm for predicting coronary heart disease risk in individuals with depression. …”
Get full text

Data Collection in Studies on Internet of Things (IoT), Wireless Sensor Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences by Ihsan Ali, Ismail Ahmedy, Abdullah Gani, Muhammad Umair Munir, Mohammad Hossein Anisi

“…Nine novel contributions are found with models, algorithms, and frameworks being the most utilized by the selected studies. …”
Get full text

Numercial modeling for enhanced heat transfer efficiency of spiral coils with supercritical fluid flow under different operating conditions by Xinling Wang, Naeim Farouk, Xiaoqing Fu, Pradeep Kumar Singh, Guo Xu, Fahad M. Alhomayani, Baseem Khan, Fawaz S. Alharbi, Barno Sayfutdinovna Abdullaeva, Laith H. Alzubaidi, Yasser Elmasry, Hakim A.L. Garalleh

“…The thermophysical properties of carbon dioxide are evaluated within a defined range of operating conditions (298. 15 K < T < 455 K and 8 MPa < p < 10 MPa). …”
Get full text

A framework for counterfactual analysis, strategy evaluation, and control of epidemics using reproduction number estimates. by Baike She, Rebecca Lee Smith, Ian Pytlarz, Shreyas Sundaram, Philip E Paré

“…Building on this mechanism, the framework 2) proposes a method to reverse engineer the effective reproduction number under different strengths of the intervention strategy. In addition, based on the method that quantifies the impact of the testing-for-isolation strategy on the basic reproduction number, the framework 3) proposes a closed-loop control algorithm that uses the effective reproduction number both as feedback to indicate the severity of the spread and as the control goal to guide adjustments in the intensity of the intervention. …”
Get full text

Light adaptive image enhancement for improving visual analysis in intercropping cultivation by Wei Zhong, Wanting Yang, Yunfei Wang, Xiang Dong, Xiaowen Wang, Weidong Jia, Mingxiong Ou, Mingde Yan

“…Based on the height difference between crops, solar elevation angle, and light intensity at the top of the soybean canopy, an illumination compensation regression model was developed. …”
Get full text

The Evaluation and Promotion Strategy of TSC for Distribution System with New Energy under Power Market Environment by BAI Hao, WANG Yu-shan, ZHOU Chang-cheng, PAN Shu-hui, YE lin-hao, CAI Jian-yi

“…Secondly, in order to explore the impact of power market ti·ansactions, the improved repeated power flow method is used to calculate the maximum power supply capacity (TSC) and mru·ket revenue of the distribution network under different power transaction scenarios. Finally, for scenarios where the TSC does not meet the standard, the improved PSO optimization algorithm is used to re-dispatch and improve TSC. …”
Get full text

Toward a Clinical Decision Support System for Monitoring Therapeutic Antituberculosis Medical Drugs in Tanzania (Project TuberXpert): Protocol for an Algorithm' Development and Imp... by Yann Thoma, Annie E Cathignol, Yuan J Pétermann, Margaretha L Sariko, Bibie Said, Chantal Csajka, Monia Guidi, Stellah G Mpagama

Get full text