PREPROCESSING OF HOPKINSON BAR EXPERIMENT DATA: FILTER ANALYSIS by Marcel Adorna, Jan Falta, Tomáš Fíla, Petr Zlámal

“…This work presents a data preprocessing procedure for signal acquired during high strain-rate loading using a custom Split Hopkinson Pressure Bar (SHPB). …”
Get full text

Preprocessing of Aspect-based English Telugu Code Mixed Sentiment Analysis by Arun Kodirekka, Ayyagari Srinagesh

Get full text

A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…Since the task is to explore patterns, i.e., urban heat islands, Gaussian blurring is implemented on these generated 2D raster data before the training process. This strengthens the visual capturing of spatial relationships, and as a result the correlation rate between air temperature and building volume data is also increased. …”
Get full text

DATA ANALYSIS BY FORMAL METHODS OF ESTIMATION OF INDEXES OF RATING CRITERION IN PROCESS OF ACCUMULATION OF DATA ABOUT WORKING OF THE TEACHING STAFF by Alexey E. Fedoseev

Get full text

Using preprocessed datasets to construct and interpret multiclass identification models by Cong Wang, Yufeng Fu, Ran Wan, Le Zhao, Hongbo Wang, Junwei Guo, Qiang Liu, Shan Li, Shengtao Ma, Zhicai Wang, Wei Huang, Huimin Liu, Song Yang, Cong Nie

“…Therefore, developing alternative approaches for constructing interpretable and robust models using these data types is crucial.MethodsThis study proposes using preprocessed data—specifically, morphological features extracted from images and chemical component concentrations predicted from NIR spectra—to build multiclass identification models. …”
Get full text

Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution by Saranya N., Anandakumar Haldorai

“…Efficient data preprocessing will ensure the whole IDS performance with improved detection rate (DR) and reduced false alarm rate (FAR). …”
Get full text

Research on the Preprocessing Method of Laser Ranging Data with Complex Patterns Based on a Novel Spline Function by Yanning Zheng, Xue Dong, Zhipeng Liang, Jian Gao, Yang Liu, Qingli Song, Xingwei Han, He Dong

“…How to filter out noise and retain valid information from the high-repetition-rate, high-precision laser ranging data has become a challenge. …”
Get full text

Coupling Genetic and Demographic Data to Reveal Dispersal Processes in Emperor Penguins by Jimmy Garnier, Gemma Clucas, Jane Younger, Bilgecan Sen, Christophe Barbraud, Michelle LaRue, Alexander D. Fraser, Sara Labrousse, Stéphanie Jenouvrier

Get full text

On the Utilization of Emoji Encoding and Data Preprocessing with a Combined CNN-LSTM Framework for Arabic Sentiment Analysis by Hussam Alawneh, Ahmad Hasasneh, Mohammed Maree

“…Three experiments were conducted with eight-parameter fusion approaches to evaluate the effect of data preprocessing, namely the effect of emoji encoding on their real and emotional meaning. …”
Get full text

Integration of Artificial Neural Network Modeling and Hyperspectral Data Preprocessing for Discrimination of Colla Corii Asini Adulteration by Huihui Wang, Kunlun Wang, Biyao Wang, Yan Lv, Xueheng Tao, Xu Zhang, Mingqian Tan

Get full text

Multi group merging algorithm for solving data Shuffle and data skew of securities companies by CAO Yakun, TANG Xiaoyong

“…In the securities industry, the processing and analysis of user data are critical technologies that significantly impact business decision-making and risk control. …”
Get full text

Ridge Regressive Data Preprocessed Quantum Deep Belief Neural Network for Effective Trajectory Planning in Autonomous Vehicles by S. Nirmala Devi, Rajesh Natarajan, Gururaj H. L., Francesco Flammini, Badria Sulaiman Alfurhood, Sujatha Krishna

“…Secondly, Ridge Regressive Data Preprocessing is performed to eliminate noisy data from collected vehicle data. …”
Get full text

Prediction and analysis of China’s coastal marine economy: an innovative grey model with the best-matching data-preprocessing techniques by Zerong Wang, Zhijian Cai, Yao Li

“…To address these challenges, this study employs advanced data-preprocessing techniques, accumulating generation operators (AGO) in grey prediction models, to tackle the nonlinear, volatile, and heterogeneous gross ocean product (GOP) data. …”
Get full text

Credit rating prediction with ESG data using data mining methods by Murat Doğan, Muhammed Aslam Chelery Komath, Özlem Sayilir

“…Considering the theoretical importance of corporate sustainability performance in the credit rating process, we aimed to develop a data mining model to predict the credit rating of companies, by incorporating ESG data to traditional accounting and financial measures with a sample of 6622 firms. …”
Get full text

Data Analysis of the Situation of the Residential Sector in Extremadura and Its Energy Classification by Marina A. Pavón-Tapia, Diego Carmona-Fernández, Dorotea Dimitrova-Angelova, Juan Félix González-González

Subjects: Get full text

Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

Get full text

Outlier Detection on High-Dimensional Data by wasan shaban, Murtadha Hamad

Get full text

EquiRate: balanced rating injection approach for popularity bias mitigation in recommender systems by Mert Gulsoy, Emre Yalcin, Alper Bilge

“…In this study, we propose the EquiRate method as a pre-processing approach, addressing this problem by injecting synthetic ratings into less popular items to make the dataset regarding rating distribution more balanced. …”
Get full text

New parallel processing strategies in complex event processing systems with data streams by Fuyuan Xiao, Cheng Zhan, Hong Lai, Li Tao, Zhiguo Qu

“…Sensor network–based application has gained increasing attention where data streams gathered from distributed sensors need to be processed and analyzed with timely responses. …”
Get full text

Evaluating fracture volume loss during production process by comparative analysis of initial and second flowback data by Chong Cao, Tamer Moussa, Hassan Dehghanpour

“…Abstract The fracture volume is gradually changed with the depletion of fracture pressure during the production process. However, there are few flowback models available so far that can estimate the fracture volume loss using pressure transient and rate transient data. …”
Get full text