Investigating the effect of loss functions on single-image GAN performance by Eyyup YİLDİZ, Mehmet Erkan YUKSEL, Selcuk SEVGEN

“…In this study, we conducted a comprehensive investigation into the loss functions commonly used in GAN literature, such as binary cross entropy (BCE), Wasserstein generative adversarial network (WGAN), least squares generative adversarial network (LSGAN), and hinge loss. …”
Get full text

Removal of Copper(II) Ions from Aqueous Solutions Using Natural Kaolinite by Xue-Song Wang, Jin Wang, Cheng Sun

“…Various thermodynamic parameters, viz. the standard free energy change (ΔG 0 ), the enthalpy (ΔH 0 ) and the entropy (ΔS 0 ), were evaluated for the process with the results indicating that it was spontaneous and endothermic in nature. …”
Get full text

Study on Drivers’ Visual Load Features in Lighting Environments of Interior Zones of Extra-Long Tunnels over 10 km by Yuantao Zhou, Shiyong He, Xiaohu Li, Yingying Li, Guoping Du

“…By comparing the differences in psychological and physiological parameters in tunnels of four different lengths, this study discovered the changing pattern of drivers’ visual loads in the interior zone of extra-long tunnels and merged multi-source information of various indicators based on the entropy evaluation model to obtain comprehensive visual load values for drivers. …”
Get full text

Multi-Component Temporal-Correlation Seismic Data Compression Algorithm Based on the PCA and DWT by Mateus Martinez de Lucena, Josafat Leal Ribeiro, Matheus Wagner, Antônio Augusto Fröhlich

“…This paper investigates the combination of principal component analysis (PCA), discrete wavelet transform (DWT), thresholding, quantization, and entropy encoding to compress such datasets. The proposed method is a lossy compression algorithm tuned by evaluating the reconstruction error in frequency ranges of interest, namely 0–20 Hz and 15–65 Hz. …”
Get full text

A Robust Multi-Modal Deep Learning-Based Fault Diagnosis Method for PV Systems by Shahabodin Afrasiabi, Sarah Allahmoradi, Mousa Afrasiabi, Xiaodong Liang, C. Y. Chung, Jamshid Aghaei

“…To enhance the proposed model’s robustness and accuracy, a probabilistic loss function based on the entropy theory is formulated. The proposed method is validated using both experimental data obtained from a PV emulator-based test system and simulation data, achieving over 98% accuracy in fault identification under various noise conditions. …”
Get full text

The Coupling Coordination Evaluation of Sustainable Development between Urbanization, Housing Prices, and Affordable Housing in China by Lida Wang, Xian Rong, Lingling Mu

“…Based on Chinese time-series data from 2008 to 2018, this study establishes an evaluation indicator system to consider the influence of urbanization, housing prices, and affordable housing and analyzes the comprehensive development level and coordination relationship using the methods of range standardization, entropy weight model, and coupling coordination. The results show that the comprehensive development levels of housing prices and affordable housing are both in a state of fluctuating growth. …”
Get full text

Performance Analysis of a Photovoltaic-Thermal Integrated System by Ewa Radziemska

“…This destruction is proportional to the entropy increase of the system together with its surroundings—the destroyed exergy has been called anergy. …”
Get full text

Response-efficacy messages produce stronger passwords than self-efficacy messages … for now: A longitudinal experimental study of the efficacy of coping message types on password c... by Joelle Simon, Steven J. Watson, Iris van Sintemaartensdijk

“…Findings indicate that the strength of the created passwords did not improve based on the messages participants received, and those who received self-efficacy messages actually created passwords with lower entropy. The intention to adopt strong passwords was only elevated for participants who received combined self-efficacy and response efficacy condition, and neither message type had a clear impact on user behaviour after four weeks. …”
Get full text

Multiobjective Optimization Model of Production Planning in Cloud Manufacturing Based on TOPSIS Method with Combined Weights by Zhiru Li, Wei Xu, Huibin Shi, Qingshan Zhang, Fengyi He

“…The weight coefficients of attribute indexes were calculated by combining subjective and objective weights with analytic hierarchy process (AHP) and entropy weight method. Finally, the combined weights calculated were applied to the improved TOPSIS method, and the optimal production planning scheme has been obtained by ranking. …”
Get full text

Measurement and Analysis of P2P IPTV Program Resource by Wenxian Wang, Xingshu Chen, Haizhou Wang, Qi Zhang, Cheng Wang

“…Thus, we focus on characteristic analysis of program resources, including the distributions of length of program names, the entropy of the character types, and hierarchy depth of programs. …”
Get full text

Artificial neural network analysis of Jeffrey hybrid nanofluid with gyrotactic microorganisms for optimizing solar thermal collector efficiency by Anup Kumar, Bhupendra K. Sharma, Bandar Almohsen, Laura M. Pérez, Kamil Urbanowicz

“…And the Nusselt number enhances with the escalation in the Deborah number and retardation time parameter. Entropy generation reduces with an enhancement in Deborah number and retardation time parameter. …”
Get full text

Using ecological niche modeling to determine avian richness hotspots by R. Mirzaei, M.R. Hemami, A. Esmaili Sari, H.R. Rezaei, A.T. Peterson

“…Ecological niche modeling was used to determine distributions of 144 bird species across the province using a maximum entropy algorithm. Richness maps across all birds, and separately for rare and threatened species, were prepared as approximations to hotspots. …”
Get full text

A Study on the Changes of Urban System Pattern in Markazi Province by Alireza Sayyafzadeh, Mohammad Mireh, Morteza Nodeh Farahani

“…Techniques such as Herfindahl indices, Henderson, and entropy are used to analyze the urban system in the Markazi province. …”
Get full text

A Novel Fast Image Stitching Method Based on the Combination of SURF and Cell by Qing An, Xijiang Chen, Shusen Wu

“…Comparing with the traditional fusion algorithm, the time consumption is reduced by at least 2 s, the mean square error is reduced by about 1.32%∼1.48%, and the information entropy is improved by about 0.98%∼1.70%. The proposed method has better performance in matching accuracy and fusion effect and has better stitching quality.…”
Get full text

Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms by Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang

“…We extract battery-related features, such as the mean of maximum difference, standard deviation, and entropy of batteries and then apply principal component analysis to reduce the dimensionality and record the amount of preserved information. …”
Get full text

Exploring Mean Annual Precipitation Values (2003–2012) in a Specific Area (36°N–43°N, 113°E–120°E) Using Meteorological, Elevational, and the Nearest Distance to Coastline Variable... by Fushen Zhang, Zhitao Yang, Shaobo Zhong, Quanyi Huang

“…In this study, four Bayesian maximum entropy (BME) models were compared to estimate the spatial distribution of mean annual precipitation of the selected areas. …”
Get full text

Research on civil aircraft cockpit display interface availability considering multidimensional indicators clustering and reduction by CHEN Dengkai, XIAO Yao, XIAO Jianghao, ZHOU Yao, YANG Cong

“…Secondly, to tackle the problem of filtering multidimensional indicator datasets supported by small samples, an indicator clustering reduction algorithm is proposed based on hierarchical clustering-rough set information entropy(HC-CEBARKNC) which compared to K-means clustering and genetic algorithm. …”
Get full text

Exploration of Flood Prediction in Watersheds Based on the Fusion Analysis of Remote Sensing Big Data with Multiple Physical Fields by Minming Xu, Yun Ouyang

“…The multiphysics remote sensing big data fusion analysis can divide the data into grids according to the grid method in the sliding time window, filter the normal data by information entropy in each grid, judge the remaining data that may be abnormal by using local abnormality factor, and eliminate the abnormal data according to the judgment result. …”
Get full text

The Natural Science Underlying Big History by Eric J. Chaisson

“…In particular, energy rate density—contrasting with information content or entropy production—is an objective metric suitable to gauge relative degrees of complexity among a hierarchy of widely assorted systems observed throughout the material Universe. …”
Get full text

ON IMPROVING THE ENERGY SUPPLY OF BATCH DYEING APPARATUSES IN THE LIGHT INDUSTRY ENTERPRISES by V. N. Romaniuk, D. B. Muslina

“…Exergy method allows obtaining the indicated estimation by the simplest and most logical way as against the other methods of thermodynamic analysis e.g. entropy method or employing the cycle theory. Pinch analysis employment not only allows verifying the estimation results but also points out the problem spots demanding cardinal changes and modernization. …”
Get full text