Simulation of discrete control systems with parallelism of behavior by D. I. Cheremisinov, L. D. Cheremisinova

Get full text

Multicellular model of neuroblastoma proposes unconventional therapy based on multiple roles of p53. by Kenneth Y Wertheim, Robert Chisholm, Paul Richmond, Dawn Walker

“…The continuous automaton represents the tumour microenvironment as a grid-like structure, where each voxel is associated with continuous variables such as the oxygen level therein. …”
Get full text

Single-channel attention classification algorithm based on robust Kalman filtering and norm-constrained ELM by Jing He, Zijun Huang, Yunde Li, Jiangfeng Shi, Yehang Chen, Chengliang Jiang, Jin Feng

“…Experimental data were collected using a Schulte Grid paradigm and TGAM sensors, along with publicly available datasets for validation.ResultsThe robust Kalman filter demonstrated superior denoising performance, achieving an average AUC of 0.8167 and a maximum AUC of 0.8678 on self-collected datasets, and an average AUC of 0.8344 with a maximum of 0.8950 on public datasets. …”
Get full text

Semantic segmentation of substation tools using an improved ICNet network by Guozhong Liu, Qiongping Tang, Changnian Lin, An Xu, Chonglong Lin, Hao Meng, Mengyu Ruan, Wei Jin

“…In the field of substation operation and maintenance, real-time detection and precise segmentation of tools play an important role in maintaining the safe operation of the power grid and guiding operators to work safely. To improve the accuracy and real-time performance of semantic segmentation of substation operation and maintenance tools, we have proposed an improved, light-weight, real-time, semantic segmentation network based on an efficient image cascade network architecture (ICNet). …”
Get full text

Characteristics and Control of High Current Vacuum Arc Deflection Under the Impact of Lateral Magnetic Field by Jingjing Li, Xinyu Zhu, Yiping Jiang, Xu Peng, Qihan Li, Xiaolong Huang

Get full text

Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications by Gradimirka Popovic , Zaklina Spalevic , Luka Jovanovic , Miodrag Zivkovic , Lazar Stosic , Nebojsa Bacanin 

“…Therefore, the accurate prediction of solar power production is vital for efficient grid management and energy trading. Machine learning models have emerged as a prospective solution, as they are able to handle immense datasets and model complex patterns within the data. …”
Get full text

Efficient Topology for DC-DC Boost Converter Based on Charge Pump Capacitor for Renewable Energy System by Muhammad Zeeshan Malik, Vineet Tirth, Amjad Ali, Ajmal Farooq, Ali Algahtani, Rajesh Verma, Saiful Islam, Kashif Irshad, Ahmed N. Abdalla

“…Photovoltaic system in remote and rural areas is very useful where a grid supply is unavailable. In this scenario, power electronic converters are an integral part of the renewable energy systems particularly for electronic devices which are operated from renewable energy sources and energy storage system (fuel cell and batteries). …”
Get full text

Intelligent emergency assisted decision-making method based on standard digitalization: Hazardous chemical accidents in industrial parks by Zhenxiang Tao, Xiaohan Liu, Ying Li, Peifeng Hu, Weitong Tang, Ning Luo, Jiansong Wu, Rui Yang

Get full text

Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun, Jaeyun Kim

“…The results show that the proposed model significantly outperforms the baseline in terms of the root mean square error (RMSE) and continuous glucose error grid analysis. For the valid 29 diabetic patients for the multivariate models, the RMSE was 11.08 (±3.19), 19.25 (±5.28), and 31.30 (±8.81) mg/DL for 15, 30, and 60 min PH, respectively. …”
Get full text

Estimating the Geoelectric Field and Electric Power Transmission Line Voltage During a Geomagnetic Storm in Alberta, Canada Using Measured Magnetotelluric Impedance Data: The Influ... by Darcy Cordell, Martyn J. Unsworth, Benjamin Lee, Cedar Hanneson, David K. Milling, Ian R. Mann

“…Abstract Estimating the effect of geomagnetic disturbances on power grid infrastructure is an important problem since they can induce damaging currents in electric power transmission lines. …”
Get full text

Adsorption of phenol on activated carbon obtained from date palm branches by Sameh Ahmed, E. S. Gogina, N. A. Makisha

Get full text

PROTEZ KAİDE MATERYALLERİNDE FARKLI POLİSAJ YÖNTEMLERİNİN YÜZEY PÜRÜZLÜLÜĞÜ VE BAKTERİYEL KOLONİZASYON ÜZERİNE ETKİLERİNİN İNCELENMESİ by Murat Yenisey, Deniz Kökçü

“…Tüm örnek yüzeyleri 600, 1000 ve 1200 grid’ lik silikon karbid zımparalarla zımparalanmıştır. …”
Get full text

Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

“…These attacks can disrupt real-time BESS controllers by injecting false input data related to SoC and SoH, leading to physical control manipulations, increased energy costs, inefficiencies in demand-side management, and incorrect day-ahead scheduling, thereby destabilizing grid operations. The data is reusable in studies focused on enhancing the resilience of SoC and SoH estimation methods, as well as in developing robust defensive strategies against smart DRL-based adversarial attacks.…”
Get full text

Generation of address sequences with specified switching activity and address repeatability by V. N. Yarmolik, N. A. Shevchenko, V. А. Levantsevich, D. V. Demenkovets

Get full text

Economical sustainability of integrated photo voltaic and hydroponic systems for rural areas by Conny K Wachjoe, Hermagasantos Zein, Annisa Syafitri Kurniasetiawati, Teguh Sasono, Yanti Suprianti, Fitria Yulistiani

“…The realization of hydroponics in rural areas that are not connected to the grid can use solar energy to circulate water continuously. …”
Get full text

A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

“…The proposed model uses various optimization techniques, such as 10 fold cross validation, grid search method etc. to get the best results out of the ensemble model. …”
Get full text

Optimizing Heat Pump Control in an NZEB via Model Predictive Control and Building Simulation by Christian Baumann, Philipp Wohlgenannt, Wolfgang Streicher, Peter Kepplinger

“…., respectively, in two distinct optimization scenarios. Consequently, the grid consumption decreased by up to 5%. Moreover, compared to the reference PI controller, the MPC scenarios enhanced indoor comfort by reducing room temperature fluctuations and lowering the average percentage of people dissatisfied by 1% pt., resulting in more stable indoor conditions. …”
Get full text

Case Study on Incentive Mechanism of Energy Efficiency Retrofit in Coal-Fueled Power Plant in China by Donghai Yuan, Xujing Guo, Yuan Cao, Liansheng He, Jinggang Wang, Beidou Xi, Junqi Li, Wenlin Ma, Mingshun Zhang

“…An ordinary steam turbine retrofit project is selected as a case study; through the retrofit, the project activities will generate emission reductions within the power grid for about 92,463 tCO2e per annum. The internal rate of return (IRR) of the project is only −0.41% without the revenue of carbon credits, for example, CERs, which is much lower than the benchmark value of 8%. …”
Get full text

Model Predictive Current Control with Asymmetric Stacked Multilevel Inverter and LCL-Filter Based STATCOM by Mostafa Q. Kasim, Raaed Faleh Hassan

“…LCL-filter was used to connect this setup to the grid, and its resonance was actively damped using the multivariable capabilities of the FCS-MPCC. …”
Get full text

The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems by Kyrylo Romanenko, Yevgen Oberemok, Ivan Syniavskyi, Natalia Bezugla, Pawel Komada, Mykhailo Bezuglyi

“…This study presents a method for aligning the geometric parameters of images in multi-channel imaging systems based on the application of pre-processing methods, machine learning algorithms, and a calibration setup using an array of orderly markers at the nodes of an imaginary grid. According to the proposed method, one channel of the system is used as a reference. …”
Get full text