Well-Production Forecasting Using Machine Learning with Feature Selection and Automatic Hyperparameter Optimization by Ruibin Zhu, Ning Li, Yongqiang Duan, Gaofeng Li, Guohua Liu, Fengjiao Qu, Changjun Long, Xin Wang, Qinzhuo Liao, Gensheng Li

“…To further assess the importance of these factors, the entropy weight method was employed. Ultimately, 19 features that were highly correlated with the target variable were successfully screened as inputs for subsequent models. …”
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CFO-CR: Carrier Frequency Offset Methodology for High-Rate Common Randomness Generation by Prashanth Kumar Herooru Sheshagiri, Martin Reisslein, Juan A. Cabrera, Frank H. P. Fitzek

“…., have low probability of discrepancy, and should have high entropy. Previous CR research has focused on CR for physical layer security (mainly physical layer secret key generation), where a low CR generation rate, i.e., a low rate of CR bits per second is sufficient. …”
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EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification by Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, Arsalan Khurshid, Yan Xu, Laishuan Wang, Saadullah Farooq Abbasi, Chen Chen, Wei Chen

“…To enhance the performance of an LSTM-based classification model, 94 linear and nonlinear features in the time and frequency domains with three novel features (Detrended Fluctuation Analysis (DFA), Lyapunov exponent, and multiscale fluctuation entropy) are extracted. An imbalance between classes is solved using the SMOTE technique. …”
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Holographic thermodynamic relation for dissipative and non-dissipative universes in a flat FLRW cosmology by Nobuyoshi Komatsu

“…To clarify such a modified thermodynamic relation, the present study applies a general formulation for cosmological equations in a flat Friedmann–Lemaître–Robertson–Walker (FLRW) universe to the first law of thermodynamics, using the Bekenstein–Hawking entropy $$S_{\textrm{BH}}$$ S BH and a dynamical Kodama–Hayward temperature $$T_{\textrm{KH}}$$ T KH . …”
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HUMAN DESTRUCTIVENESS IN THE EXISTING PRACTICES OF LATE MODERNISM VIOLENCE: POSITIVE AND NEGATIVE DIMENSIONS by O. V. Marchenko, L. V. Martseniuk

“…At the metaphysical level, destructiveness appears as a connection between the entropy of world existence as a whole and the instability of human existence itself, which is a complexly organized and open to the world system. …”
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Forest management interventions affect the trade-offs of multiple vegetation and soil ecosystem services in walnut forests in the Taihang Mountains, China by Xin Li, Yanmei Chen, Qianyuan Liu, Yanan Liu

“…Four ESs were evaluated using the entropy weight method: maintenance of plant diversity, carbon sequestration, soil and water conservation, and soil nutrient maintenance. …”
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Multi-criteria decision-making method for emergency shelter site selection considering flood risk: A case study of Zhuhai, China by Bo Liu, Yingbing Li, Yan Zhang, Zhichao Wu, Yansong Pan, Meiquan Li

“…To address these two issues, this study innovatively proposes a new multi-criteria decision-making model for selecting urban emergency shelter sites. (1) For the first time, the model systematically classifies the factors affecting the location of emergency shelter sites into four categories: hazard, exposure, vulnerability, and relief capacity, from which 11 decision-making indicators, such as flood risk, precipitation, and slope, are selected; (2) The model integrates multiple algorithms, including analytic hierarchy process, entropy weight method, Pearson's correlation coefficient, and TOPSIS, during the decision-making process, and is capable of comprehensively weighing the expert's subjective preferences, objective indicator levels and the relationship between multiple indicators to achieve a more reasonable ranking. …”
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Modification of coal fly ash for high capacity adsorption of methylene blue by Mardiyah Kurniasih, Nurul Hidayat Aprilita, Roto Roto, Mudasir Mudasir

“…Themodynamic study gives the positive value of enthalpy (ΔH°) and entropy (ΔS°), and the negative value of free energy (ΔG°) changes, suggesting an endothermic and spontaneous process. …”
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Interactive relationship between carbon flow and economic growth and influencing factors based on land use transition by ZHANG Changren, HAN Zenglin, ZHAO Yuqing, YAN Xiaolu

“…[Methods] This paper is based on land use, socio-economic, and energy consumption data, employing carbon flow model, entropy TOPSIS method, coupling coordination degree, geographical detector, and geographically weighted regression models to analyze the spatial evolution and influencing factors of the coupling coordination relationship between carbon flow caused by land use transition and economic growth in 30 provinces and cities of China from 2000 to 2020. …”
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Classification of kinesiophobia in patients after cardiac surgery under extracorporeal circulation in China: latent profile and influencing factors analysis from a cross-sectional... by Qi Li, Rong Wang, Yanmei Gu, Tong Ren, Jing Jing Piao, Wenhui Xing, Yujing Liang

“…Multiple logistic regression analysis was used to evaluate the influencing factors at different latent classifications.Results The average performance of each indicator in Model 3 is best suited for analysis, Entropy=0.873 and bootstrap likelihood ratio test (p)＜0.0001. …”
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Study on the Development Level, Spatial Differences and Obstacle Factors of Agricultural Modernization—Taking Cities and Counties in Hainan Province as An Example by Yiwen MA, Xiaojun XU

“…【Method】The relevant index data of Hainan Province and 17 cities and counties from 2011 to 2021 were selected as research samples, and an evaluation system with 5 dimensions and 20 indexes was constructed by comprehensive application of analytic hierarchy process (AHP), entropy method, obstacle model and other methods to quantitatively evaluate the development level, spatial differences and obstacle factors of agricultural modernization in Hainan Province.…”
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A medical insurance fund operation performance evaluation system under the DRG payment mode reform by Zijian Wang, Zijian Wang, Zijian Wang, Weifu Chang, Weifu Chang, Aijing Luo, Aijing Luo, Aijing Luo

“…However, few studies undertake performance evaluations of medical insurance funds under DRG payments, especially those incorporating the Analytic Hierarchy Process (AHP)-Entropy Weight Method (EWM)- Fuzzy Comprehensive Evaluation (FCE) method model.MethodsThis study utilizes operational data from medical insurance funds across eight cities in S Province, China, from 2020 to 2022. …”
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G-UNETR++: A Gradient-Enhanced Network for Accurate and Robust Liver Segmentation from Computed Tomography Images by Seungyoo Lee, Kyujin Han, Hangyeul Shin, Harin Park, Seunghyon Kim, Jeonghun Kim, Xiaopeng Yang, Jae Do Yang, Hee Chul Yu, Heecheon You

“…In addition, a hybrid loss function that combines dice loss, cross-entropy loss, and Hausdorff distance loss is designed to address class imbalance and improve segmentation performance in challenging cases. …”
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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning by Ahmad Jalal, Danyal Khan, Touseef Sadiq, Moneerah Alotaibi, Sultan Refa Alotaibi, Hanan Aljuaid, Hameedur Rahman

“…Key features are extracted using techniques such as ORB (Oriented FAST and Rotated BRIEF), MSER (Maximally Stable Extremal Regions), DFT (Discrete Fourier Transform), and KAZE for image data, and LPCC (Linear Predictive Cepstral Coefficients), PSD (Power Spectral Density), AR Coefficient, and entropy for sensor data. Feature fusion is performed using Linear Discriminant Analysis (LDA) to create a unified feature set, which is then classified using ResNet50 (Residual Neural Network) to recognize activities such as using a smartphone, cooking, and reading a newspaper. …”
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BSG-WSL: BackScatter-guided weakly supervised learning for water mapping in SAR images by Kai Wang, Zhongle Ren, Biao Hou, Weibin Li, Licheng Jiao

“…Finally, a confidence cross-entropy loss is introduced to utilize pseudo-labels to train the extraction model and achieve precise water extraction in different scenarios. …”
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Visual Imagery in Modern Mind-Body Practices: Biophotonic Information Transfer through Water-Mediated Neural Resonance by Valeriy Babelyuk, Igor Popovych, Olga Smoleńska, Anna Michalska, Radosław Muszkieta, Magdalena Hagner-Derengowska, Yuriy Dobrovolsky, Galyna Dubkova, Tetyana Korolyshyn, Walery Zukow

“…These changes correlate with specific EEG patterns and entropy measures. Water exposed to practitioners during KKK shows altered properties, including modified light emission characteristics and structural changes. …”
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Soil Microbial Responses to Varying Environmental Conditions in a Copper Belt Region of Africa: Phytoremediation Perspectives by Kabwe Nkongolo, John B. Mukalay, Antoine K. Lubobo, Paul Michael

“…For fungi, <i>Fusarium</i> exhibited the highest proportion of the fungal genera at all the sites, with a relative abundance ranging from 15.6% to 20.3%. Shannon diversity entropy indices were high and similar, ranging from 8.3 to 9 for bacteria and 7.0 and 7.4 for fungi. …”
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Association between intraoperative fluid management and postoperative outcomes in living kidney donors: a retrospective cohort study by Ja Eun Lee, Chisong Chung, Sunghae Park, Kyo Won Lee, Gaab Soo Kim

“…Donors were divided into tertiles according to intraoperative crystalloid infusion rate (ml/kg/hr), and associations between the tertile and outcomes were investigated with inverse probability of treatment weighting with entropy balancing. Primary outcome was maximal rise of serum creatinine (sCr). …”
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Multimodal neurophenomenology of advanced concentration absorption meditation: An intensively sampled case study of Jhana by Avijit Chowdhury, Marta Bianciardi, Eric Chapdelaine, Omar S. Riaz, Christopher Timmermann, Remko van Lutterveld, Terje Sparby, Matthew D. Sacchet

“…Compared to control tasks, the ACAM-J were also related to widespread decreases in broadband EEG oscillatory power and increases in Lempel-Ziv complexity (LZ, a measure of brain entropy). Some fMRI findings varied by the control task used, while EEG results remained consistent, emphasizing both shared and unique neural features of ACAM-J. …”
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A systematic scoping review of latent class analysis applied to accelerometry-assessed physical activity and sedentary behavior. by Michael Kebede, Annie Green Howard, Yumeng Ren, Blake Anuskiewicz, Chongzhi Di, Melissa A Troester, Kelly R Evenson

“…The criteria to guide the selection of the final number of classes and model fit varied across studies, including Bayesian Information Criterion (63%), substantive knowledge (63%), entropy (50%), Akaike information criterion (50%), sample size (50%), Bootstrap likelihood ratio test (38%), and visual inspection (38%). …”
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