An Improved Fuzzy Based Missing Value Estimation in DNA Microarray Validated by Gene Ranking by Sujay Saha, Anupam Ghosh, Dibyendu Bikash Seal, Kashi Nath Dey

“…Most of the gene expression data analysis algorithms require the entire gene expression matrix without any missing values. …”
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Fusion of Satellite and UAV Imagery for Crop Monitoring by A. R. Allu, S. Mesapam

“…Brovey Transform (BT) and Principal Component Analysis (PCA) fusion techniques are used to fuse the UAV and satellite images, aiming to leverage the high spatial resolution of UAV imagery with the broader spectral range of S2 data. …”
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Ensemble deep learning models for tropical cyclone intensity prediction using heterogeneous datasets by Dikshant Gupta, Menaka Pushpa Arthur

“…Our analysis evaluates the performance of each model in terms of the loss incurred. …”
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A multi-domain dual-stream network for hyperspectral unmixing by Jiwei Hu, Tianhao Wang, Qiwen Jin, Chengli Peng, Quan Liu

“…This approach allows us to uncover pure endmember data that is hidden within the original hyperspectral image (HSI). …”
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A Short-Term Load Forecasting Method Considering Multiple Factors Based on VAR and CEEMDAN-CNN-BILSTM by Bao Wang, Li Wang, Yanru Ma, Dengshan Hou, Wenwu Sun, Shenghu Li

“…However, most of existing short-term load forecasting methods rely solely on the original load data or take into account a single external factor, which results in significant forecasting errors. …”
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ADULT-ONSET STILL’S DISEASE: ASPECTS OF THE HEMATOLOGY CLINIC by M. M. Agakishiev, I. I. Mulina, A. M. Popova, I. N. Nechunaeva, L. M. Maslova, I. B. Kovynev, T. I. Pospelova

“…The analysis of literature data on modern approaches in the diagnosis and treatment of adult-onset Still’s disease has been performed. …”
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Engine Mass Flow Estimation through Neural Network Modeling in Semi-Transient Conditions: A New Calibration Approach by T. Savioli, M. Pampanini, G. Visani, L. Esposito, C. A. Rinaldini

“…Finally, the sensitivity of the model error correlated with the number of data points acquired is used in order to determine the best practice for a Design Of Experiment, which minimizes data acquisition. …”
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Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables by Boyang Wei, Christopher Romano, Mahdi Pedram, Bonnie Nolan, Whitney A. Morelli, Nabil Alshurafa

“…We built a machine learning model to estimate metabolic equivalent of task (MET) values/minute using smartwatch accelerometer and gyroscope data. Analysis included 2,189 minutes of in-lab and 14,045 minutes of free-living data. …”
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Dynamic Portfolio Return Classification Using Price-Aware Logistic Regression by Yakubu Suleiman Baguda, Hani Moaiteq AlJahdali, Altyeb Altaher Taha

“…This approach integrates price movements as key features alongside traditional portfolio optimization techniques, enabling the identification and analysis of patterns and relationships within historical financial data. …”
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Study on the Formation Mechanism of Overpressure in Carbonate Strata in Tabei Region by MA Jinyu, ZHANG Yan, XIONG Yuwei, XU Shengchi, XIA Guoqing

“…Compared with the measured data, the relative error of the predicted formation pressure is less than 5.000%, which is of high prediction accuracy and meets the needs of field engineering, and is of guiding significance for the study of overpressure formation and pressure prediction of deep and ultra-deep carbonate reservoirs in the Tabei and similar region.…”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Abstract This study uses advanced deep learning techniques to present an efficient and data-driven method for predicting the Hydrocarbon Reservoir Quality Index (HRQI) in deepwater carbonate systems. …”
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Predictors for estimating subcortical EEG responses to continuous speech. by Joshua P Kulasingham, Florine L Bachmann, Kasper Eskelund, Martin Enqvist, Hamish Innes-Brown, Emina Alickovic

“…We also investigate the data length required for estimating subcortical TRFs, and find that around 12 minutes of data is sufficient for clear wave V peaks (>3 dB SNR) to be seen in nearly all participants. …”
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Prediction of Remaining Service Life of Miniature Circuit Breakers Based on Wiener Process by Lin Ma, Linming Hou, Puquan He, Changxian Wang, Zhenhua Xie, Yao Wang

“…The parameters of the electrical performance degradation model are identified through the synergistic driving of the electrical life simulation data and the experimental data, the remaining electrical life prediction is realized based on the degradation data of the same batch of products, and the maximum prediction error of the proposed method is controlled within 15%.…”
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Effect of glucose–citric acid deep eutectic solvent on the vapor–liquid equilibrium of an aqueous ethanol solution by A. V. Klinov, A. R. Khairullina

“…A qualitative and quantitative analysis of the conditions of vapor–liquid equilibrium in an ethanol–water–DES ternary mixture was performed based on the open evaporation method and the measurement of TPxy data using a Świętosławski ebulliometer. …”
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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…In the first stage, the various data are retrieved both in the form of synthetic data by mathematical formulations and real-time data with prototype design setup. …”
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EFFECT OF GENDER AND DRIVER BEHAVIOR IN ROAD TRAFFIC CRASHES IN LAGOS STATE, NIGERIA by AUGUSTUS OROVWIGHO ATUBI

“…Three thousand seven hundred (3,700) questionnaires were administered and 3,270 questionnaires were retrieved. The data generated were analysed using Chi-square tests, student't' test, analysis of variance (ANOVA) and the mann-whitney 'U' test statistics. …”
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Noninvasive Glucose Measurements in Tissue Simulating Phantoms Using a Solid-State Near-Infrared Sensor by Ariel B. Kauffman, Ruben Shakya, Shuai Yu, Mark A. Arnold

“…Results for the laser prototype data included a standard error of cross validation (SECV) of 7.82 mg/dL for an optimized PLS model with 10 factors over a spectral range of 1401–2238 nm. …”
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Accuracy evaluation of Roche Accu‐Chek Performa blood glucose meters at low glucose concentrations: A nine‐year retrospective study by Zhipeng Zhao, Runqing Li, Xiuying Zhao, Lina Zhang, Tengjiao Wang, Song Yang, Ning Han, Dong Zhu

“…Parkes consensus error grid analysis showed that 100.00% (2978 out of 2978) of comparative data pairs fell within region A. …”
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The Impact of Natural Resource Dependency and Economic Globalization on Environmental Sustainability in IRAN within the framework of the N-shaped Environmental Kuznets Curve by Abolghasem Golkhandan

“…Data analysis was also done with the help of Eviews12.0 software.Results: The estimation of the model using the VECM method shows that, in the long term, the impact of economic growth, its square, and cube on both environmental degradation indicators is significant and positive, negative and positive, respectively, confirming the hypothesis of an N-shaped EKC. …”
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ARIMA Markov Model and Its Application of China’s Total Energy Consumption by Chingfei Luo, Chenzi Liu, Chen Huang, Meilan Qiu, Dewang Li

“…The ARIMAMKM model is validated using China’s energy consumption data, achieving high prediction accuracy as evidenced by metrics such as mean absolute percentage error (MAPE), root mean square error (RMSE), <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="normal">S</mi><mi mathvariant="normal">T</mi><mi mathvariant="normal">D</mi></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi mathvariant="normal">R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula>. …”
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