Decarbonisation pathways for industrial clusters through multi-energy systems by Ugochukwu Ngwaka, Yousaf Khalid, Janie Ling-Chin, John Counsell, Ruben Pinedo-Cuenca, Huda Dawood, Andrew J. Smallbone, Nashwan Dawood, Anthony P. Roskilly

“…Given the complex and nonlinear interconnections among systems within a multi-energy cluster, this study extends the dynamic multi-vector methodology to multi-energy system clusters, representing variables as nodes and converting them into transfer functions for system integration. …”
Get full text

Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…Through an approximation of the nonparametric functions with free-knot splines, we develop a Bayesian sampling approach that can be applied by the Markov chain Monte Carlo (MCMC) approach and design an efficient Metropolis–Hastings within the Gibbs sampling algorithm to explore the joint posterior distributions. …”
Get full text

ETHNOPEDAGOGICAL COMPONENT OF PHYSICAL TRAINING OF SCHOOLCHILDREN by M. M. Kolokoltsev

“…The inclusion of elements of the Buryat national sports into the program of variable school physical education classes at schools of Baikal region is proved. …”
Get full text

Adaptive Exploration Artificial Bee Colony for Mathematical Optimization by Shaymaa Alsamia, Edina Koch, Hazim Albedran, Richard Ray

“…The performance of AEABC was evaluated against 33 state-of-the-art metaheuristics across twenty-five benchmark functions and an engineering application. AEABC consistently outperformed its counterparts, demonstrating superior efficiency and accuracy. …”
Get full text

Developing a machine learning model for fast economic optimization of solar power plants using the hybrid method of firefly and genetic algorithms, case study: optimizing solar the... by Ali Omidkar, Razieh Es'haghian, Hua Song

“…The objective functions were to optimize the exergy efficiency and the heat cost. …”
Get full text

Adaptability to Teleworking in European Countries by Aniela Bălăcescu, Aurelia Pătrașcu, Loredana Maria Păunescu

“…The limits of the research are related to the involvement of only six variables, the analysis can be extended in future research to other variables as well.…”
Get full text

Cost-effective model of building construction based on GREENSHIP rating assessment using value engineering and lifecycle cost analysis methods by Sutikno Sutikno, Sarwono Hardjomuljadi, Henny Wiyanto

“…Abstract Regulation No. 21 of 2021, issued by the Minister of Public Works and Public Housing, mandates green building performance assessments for Building Approval (PBG) and Certificate of Functional Worthiness (SLF). However, many stakeholders perceive green building investments as costly. …”
Get full text

Classification of medical imaging technologies: results from Türkiye by Hakan Temiz, Tuncay Kara

“…It also suggests that regional utilization patterns may align more with functional similarities than with geographic proximity. …”
Get full text

Numerical solutions for fractional optimal control problems using Mü‎‎‎‎‎‎‎ntz-Legendre polynomials by Mohammad Sahabi, Allahbakhsh Yazdani Cherati

“…To achieve this, stable and efficient methods for calculating the fractional integral and derivative operators of Müntz-Legendre functions based on three-term recurrence formulas and Jacobi-Gauss quadrature rules are presented. …”
Get full text

Building electrical consumption patterns forecasting based on a novel hybrid deep learning model by Nasser Shahsavari-Pour, Azim Heydari, Farshid Keynia, Afef Fekih, Aylar Shahsavari-Pour

“…Specifically, the proposed model comprises three key components: (i) a mutual information-based feature selection method to identify the most significant input variables influencing energy consumption; (ii) a variational mode decomposition (VMD) approach to decompose the original energy consumption signal into intrinsic mode functions (IMFs), capturing relevant trends and eliminating noise; and (iii) a long short-term memory (LSTM) neural network to perform time-series forecasting of the target energy consumption values. …”
Get full text

Production of Cyanobacterial Microscale Adsorbent by Hydrothermal Method for Pre-concentration of Cadmium from Water by T. Mohammadi Arian, G. Rahimi, R. Khavari Farid

“…Solid-phase extraction using carbon adsorbents is the most efficient and common method of pre-concentration of heavy metals from environmental samples. …”
Get full text

The Relationship between the Reorganization of Higher Education Institutions' Operations in Poland During the COVID-19 Pandemic and Student Loyalty by Sojkin Bogdan, Bartkowiak Paweł, Michalak Szymon

“…Using exploratory factor analysis (EFA), the main components were identified for various variables pertaining to the functioning, organization, and delivery of online classes, as well as for aspects associated with university operations during the COVID-19 pandemic. …”
Get full text

Random Fuzzy Power Flow Analysis for Power System considering the Uncertainties of Renewable Energy and Load Demands by J. H. Zheng, Wenting Xiao, Zhigang Li, Q. H. Wu

“…Simulation studies conducted on the IEEE-33 system verifies the accuracy of the RFPF and the efficiency of the 3PE.…”
Get full text

Numerical Evaluation of Sound Attenuation Provided by Periodic Structures by Mario MARTINS, Luis GODINHO, Luis PICADO-SANTOS

“…The use of periodic structures as noise abatement devices has already been the object of considerable research seeking to understand its efficiency and see to what extent they can provide a functional solu- tion in mitigating noise from different sources. …”
Get full text

Penerapan Importance Performance Analysis (IPA) pada Evaluasi Keberlanjutan Penggunaan e-filing untuk Pelaporan Pajak Perorangan by Imelda Saluza, Dewi Sartika

“…Beberapa indikator tersebut antara lain adalah Understandability (kejelasan informasi yang diberikan oleh e-filing), Contact (kontak yang dapat dihubungi), Functionality (peningkatan kualitas dan mutu pajak), Ease of Use (e-filing sulit dipelajari), Usefulness (penghematan waktu pelaporan), Service Quality, Efficiency (pengaksesan e-filing dengan gadget lain), Fulfillment (kesulitan dalam memenuhi kebutuhan pelapor). …”
Get full text

New Approach of Blind Adaptive Equalizer Based on Genetic Algorithms by Caroline A. D. Silva, Marcelo A. C. Fernandes

“…Unlike traditional methods that rely on linear programming and suffer from local minima issues, this technique utilizes a stochastic linear programming cost function with GAs for robust optimization. The proposed method termed Blind Linear Equalizer based on genetic algorithm (BLE-GA) enhances performance by leveraging a GA’s ability to handle stochastic variables, offering rapid convergence and resilience against signal noise and inter-symbol interference. …”
Get full text

Estimation of Fuzzy Measures Using Covariance Matrices in Gaussian Mixtures by Nishchal K. Verma

“…The main contribution of this paper is the estimation of fuzzy measures efficiently and directly from covariance matrices found in GMM, avoiding the computational burden greatly while learning them iteratively and solving polynomial equations of order of the number of input-output variables.…”
Get full text

Cooperative Control of Interconnected Air Suspension Based on Energy Consumption Optimization by Guoqing Geng, Shuai Zeng, Liqin Sun, Zhongxing Li, Wenhao Yu

“…The optimal interval for suspension force is obtained through solving cost functions while satisfying a set of constraints on controlled variables and thereby reducing the coupling complexity of a multivariable control system. …”
Get full text

RAMAS-Net: a module-optimized convolutional network model for aortic valve stenosis recognition in echocardiography by Yejia Gan, Wanzhong Huang, Yan Deng, Xiaoying Xie, Yuanyuan Gu, Yaozhuang Zhou, Qian Zhang, Maosheng Zhang, Yangchun Liu

“…IntroductionAortic stenosis (AS) is a valvular heart disease that obstructs normal blood flow from the left ventricle to the aorta due to pathological changes in the valve, leading to impaired cardiac function. Echocardiography is a key diagnostic tool for AS; however, its accuracy is influenced by inter-observer variability, operator experience, and image quality, which can result in misdiagnosis. …”
Get full text

Post-thaw dimethyl sulfoxide reduction in autologous peripheral blood progenitor cell suspensions by Miroslava Jandová, Pavel Měřička, Jiří Gregor, Miriam Lánská, Aleš Bezrouk, Dana Čížková, Jakub Radocha

“…Background and objectives: Dimethyl sulfoxide has become the most common cryoprotectant used for cryopreservation of hematopoietic progenitor cells because of its efficiency, regardless of its potentially toxic side effects. …”
Get full text