Diagnosis of Open and Short Circuit Intermittent Connection Faults for DeviceNet Based on Multilayer Information Fusion and Circuit Network Analysis by Longkai Wang, Yong Lei

“…Finally, a search-based locating algorithm is developed using the possibility order and observed network states to pinpoint IOC and ISC faults separately. …”
Get full text

Preprocessing LOFARgram through U-Net++ neural network by Dan Peng, Xichen Xu, Wenhua Song, Dazhi Gao

“…Additionally, we introduce a new algorithm that utilizes data prior to the Closest Point of Approach (CPA) to predict the CPA parameters, applied to both the original LOFARgrams and those processed with U-Net++. …”
Get full text

Winter Wheat Yield Prediction Using Satellite Remote Sensing Data and Deep Learning Models by Hongkun Fu, Jian Lu, Jian Li, Wenlong Zou, Xuhui Tang, Xiangyu Ning, Yue Sun

“…This study proposes a method for predicting yields in China’s major winter wheat-producing regions using MOD13A1 data and a deep learning model which incorporates an Improved Gray Wolf Optimization (IGWO) algorithm. By adjusting the key parameters of the Convolutional Neural Network (CNN) with IGWO, the prediction accuracy is significantly enhanced. …”
Get full text

Adaptive Frequency Regulation of Doubly-Fed Pumped Storage Unit Considering Speed and Power Limit by LAO Wenjie, SHI Linjun, WU Feng, YANG Dongmei, LI Yang

“…Then, the impacts of control parameters on the frequency dynamic response are analyzed, and the calculation method of optimal frequency regulation parameters under multi conditions is proposed based on the improved particle swarm optimization algorithm, which aims at minimizing the frequency deviation and takes the speed and power limit of the unit as constraints. …”
Get full text

Enhancing spectral imaging with multi-condition image fusion by Joana Teixeira, Tomás Lopes, Diana Capela, Catarina S. Monteiro, Diana Guimarães, Alexandre Lima, Pedro A. S. Jorge, Nuno A. Silva

“…Drawing inspiration from multi-exposure fusion techniques, we propose an algorithm that calculates a global weight map using exposure and contrast metrics. …”
Get full text

Adaptation features of the invasive species <i>Berberis aquifolium</i> Pursh and <i>Daphne laureola</i> L. in forest communities on the Southern Coast of Crimea by N. A. Bagrikova, Z. D. Bondarenko

“…The JUICE platform and the PC-ORD 5.0 algorithm were employed to perform the cluster analysis, and the PAST 3.26 software for the ordination analysis. …”
Get full text

RSM-, ANN-, and GA-Based Process Optimization for Acid Centrifugation Treatment of Cane Molasses Toward Mitigating Calcium Oxide Fouling in Ethanol Plant Heat Exchanger by Lata Deso Abo, Sintayehu Mekuria Hailegiorgis, Mani Jayakumar, Sundramurthy Venkatesa Prabhu, Gadissa Tokuma Gindaba, Abas Siraj Hamda, B. S. Naveen Prasad

“…However, the genetic algorithm (GA) optimization resulted in an actual CaO reduction of 66.21 wt.% with a t-test value of 0.497726.…”
Get full text

A new epidemic model of sexually transmittable diseases: a fractional numerical approach by Mudassar Rafique, Muhammad Aziz Ur Rehamn, Aisha M. Alqahtani, Muhammad Rafiq, A. F. Aljohani, Zafar Iqbal, Nauman Ahmed, Shafiullah Niazai, Ilyas Khan

“…These graphs show that the proposed numerical algorithm provides the positive bounded solutions. …”
Get full text

Intelligent and Adaptive Web Data Extraction System Using Convolutional and Long Short-Term Memory Deep Learning Networks by Sudhir Kumar Patnaik, C. Narendra Babu, Mukul Bhave

“…This study investigates an intelligent and adaptive web data extraction system with convolutional and Long Short-Term Memory (LSTM) networks to enable automated web page detection using the You only look once (Yolo) algorithm and Tesseract LSTM to extract product details, which are detected as images from web pages. …”
Get full text

On nonlinear coupled differential system for heat transfer in magnetized enclosure with T-shaped baffle by using machine learning by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

“…The low mean square error (MSE) values and perfect Regression values demonstrate the exceptional performance of the neural model being trained using the Levenberg-Marquardt algorithm. We found that the Nusselt number rises significantly with increasing Rayleigh numbers, especially in the vicinity of the heated baffle. …”
Get full text

Jupiter Evolutionary Models Incorporating Stably Stratified Regions by Roberto Tejada Arevalo, Ankan Sur, Yubo Su, Adam Burrows

“…This requires not only a mass density model, the major relevant byproduct of the Juno data, but a thermal model that is subject to interior heat transport, a realistic atmospheric flux boundary, a helium rain algorithm, and the latest equation of state. The result is a good fit to most major thermal, compositional, and structural constraints that still preserve a fuzzy core and that should inform future more detailed models of the current Jupiter in the context of its evolution from birth.…”
Get full text

Research on Optimization of Injection Molding Process Parameters of Automobile Plastic Front-End Frame by Kai Yang, Lingfeng Tang, Peng Wu

“…A back propagation (BP) neural network model with input as a process parameter and output as an evaluation index is established by MATLAB and optimized by a genetic algorithm (GA). Finally, the optimized neural network model was used to predict the combination of process parameters with the minimum volume shrinkage and warpage amount. …”
Get full text

Forecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach by Mahadee Al Mobin

“…A novel wrapper feature selection algorithm employing a custom objective function is proposed in this study, which significantly improves model accuracy by 12.63% and reduces the mean absolute percentage error by 70.82%. …”
Get full text

Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…Additionally, 1000 and 4000 are the two most optimal feature subsets selected by the SVM-RFE algorithm. The SDAE and VAE models built with these feature subsets achieve the best classification results. …”
Get full text

Prediction of acute kidney injury in intensive care unit patients based on interpretable machine learning by Li Zhang, Mingyu Li, Chengcheng Wang, Chi Zhang, Hong Wu

“…Conclusions The XGBoost algorithm can predict the occurrence of AKI more accurately. …”
Get full text

Research on Optimization Technology of Minimum Specific Fuel Consumption for Triple-Bypass Variable Cycle Engine by Haonan Guo, Yuhua Zhang, Bing Yu

“…The contribution of each control variable to the engine’s specific fuel consumption was computed using the PSM and, at the same time, due to the linear characteristics of the PSM, it was easy to deal with various constrained linear optimization problems, and the steady-state points with the smallest specific fuel consumption under the constraints could be obtained through the linear optimization algorithm; however, the surge margin and pre-turbine temperature of the optimized point were limited in the optimization process, the method of direct switching inevitably brought the problem of overshoot of the controlled quantity, and the actual controlled quantity could still exceed the safe operation boundary of the engine in the process of change. …”
Get full text

The scheme of shaping back surface of five-sided carbide inserts on CNC machines by E. V. Vasily’ev, Yu. A. Blokhina, M. M. Lakman

“…The process of shaping the rear surface of a five-sided carbide insert is modeled. An algorithm for the implementation of the kinematic scheme for shaping the rear surface of pentahedral carbide plates using CAD tools has been developed. …”
Get full text

A Study of an Anomaly Detection System for Small Hydropower Data considering Multivariate Time Series by Bo Yang, Zhongliang Lyu, Hua Wei

“…Although many anomaly detection algorithms have been introduced in the data preprocessing stage in various research areas, there is still little research on effective and highly reliable anomaly detection systems for practical applications in small hydropower stations. …”
Get full text

Design, Mathematical Modeling, and Control of an Underactuated 3-DOF Experimental Helicopter by Osamah Talal Makki, Seyyed Sajjad Moosapour, Saleh Mobayen, Jafar Heyrani Nobari

“…The system is considered an essential benchmark for the development and evaluation of control algorithms and identification methods as it mimics real helicopters and UAVs. …”
Get full text

Glycolytic pathways: The hidden regulators in Parkinson's disease by Jing Shen, Ensheng Yao, Weidong Tian, Jia He, Yukai Gu, Dong Zhao

“…We constructed a PD diagnosis model using the SVM algorithm for differentially expressed glycolysis-related genes and verified the model with LASSO regression analysis. …”
Get full text