Forecasting of electrical energy consumption using Autoregressive Integrated Moving Average (Case Study: ULP Meulaboh Kota) by Putri Gunandra Siregar, Ilham Sahputra, Fidyatun Nisa

“…Overall, the forecasting error produced by the ARIMA model remains below 8%, with an average MAPE of 4.8483% across all sectors.…”
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Time Discriminator for Satellite Radar Altimeter Tracker System by D. S. Borovitsky, A. E. Zhesterev, V. P Ipatov, R. M. Mamchur

“…This simulation is performed both directly and using different methods of censoring the error signal at the discriminator output to effectively neutralize possible abnormal errors that are not taken into account by theoretical analysis.…”
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Possibilities of Language Technology in Lexical Analyses of Canonical Hungarian Bible Translations by Tibor M. PINTÉR, Katalin P. MÁRKUS

“…In addition to the various layers of analysis of language use, it focuses on data like type-token characteristics, unigrams, bigrams, possible collocations, terms, orthographic error types, and orthographic variations of the chosen translations. …”
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HUBUNGAN ANTARA MINAT MEMBACA DENGAN KETERAMPILAN MENULIS CERITA PENDEK SISWA KELAS V SD GUGUS VII MENGWI TAHUN AJARAN 2017/2018 by Dewa Ayu Putri Pratiwi

“…As a prerequisite test was the normality test of data distribution. After the prerequisite test is met, and the normal distributed data statistical analysis used in this research was the product moment correlation analysis technique. …”
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DEFINING THE BOUNDARIES OF THE TWO-PHASE ZONE OF CARBON AND ALLOY STEELS by S. M. Kabishov, I. A. Trusova, P. Je. Ratnikov, S. V. Korneev

“…In the article analysis of the existing methods of calculation of temperature of a steel liquidus is made on the basis of which the option providing results with the minimum error of experimental data is chosen. …”
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Bayesian optimization and machine learning for vaccine formulation development. by Lillian Li, Sung-In Back, Jian Ma, Yawen Guo, Thomas Galeandro-Diamant, Didier Clénet

“…Model analysis using prediction error plot, Shapeley Additive exPlanations, permutation importance, etc. can provide additional insights into relations between model and experimental design, the influence of features of interest, and non-linear responses. …”
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Chest pass automatic board for evaluating basic chest pass skills using vibration sensor by Dzihan Khilmi Ayu Firdausi, Andriadi Andriadi, Indra Dwisaputra, Muhammad Eka Mardyansyah Simbolon

“…The results of data analysis obtained a product validity value of 0.9985 and a product reliability value of 0.999. …”
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Design and evaluation of children’s education interactive learning system based on human computer interaction technology by Mengru Li, Yang Lv, Yongming Pu, Min Wu

“…Through mixed-method research, combined with quantitative and qualitative data analysis, this study provides a comprehensive evaluation of the educational effectiveness of the system. …”
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PERFORMANCE EVALUATION TECHNIQUES FOR THE NUCLEAR GRADE MAIN FEED-WATER CONTROL VALVE by LIU QingMin, GAO ZhaoJie, LIN Feng, ZHANG QiangSheng, WU Xin

“…A performance evaluation technology was studied for the seismic performance evaluation of nuclear safety Class II main feed-water control valve based on the ASME Code and finite element analysis platform（ Femap + NX Nastran）.First,we proposed an analysis model for the vertical control valve,and the risk assessment and improvement methods for the structural characteristics of vertical control valve were studied.Then we conducted a numerical model for a control valve and compared the simulation data with those obtained from experimental test.These two showed good agreement.Finally,the seismic performance evaluation of a main feed-water control valve was performed under the combination of the seismic load and design load.The simulated relative error of inner stresses at typical site is less than 5% compared with that obtained by using empirical formula.The simulated data shows that the designed valve fulfills the design requirement for its first order frequency is bigger than 33 HZ,and the maximum stresses are within the allowable range under various load cases.…”
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Cauchy-Lanczos Algorithm for Effective Dimension Reduction by Xuansheng Wang, Linzhong Xia, Changwei Lv

“…The aim of dimension reduction techniques is to eliminate unnecessary information from extensive datasets, thereby enhancing the effectiveness of data analysis. Some linear dimension reduction techniques can be formulated using an appropriate pair of symmetric matrices. …”
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A New Member of T-X Family with Applications in Different Sectors by Zubir Shah, Amjad Ali, Muhammad Hamraz, Dost Muhammad Khan, Zardad Khan, M. EL-Morshedy, Afrah Al-Bossly, Zahra Almaspoor

“…We hope that the proposed class may produce many more new distributions for fitting monotonic and nonmonotonic data in the field of reliability analysis and survival analysis as well.…”
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Pemanfaatan Internet Of Things (Iot) Dalam Proses Pengeringan Rimpang Dengan Menggunakan Platform Node-Red by Gaguk Suprianto

“…Moreover, with IoT the sensor data obtained is managed in a database for analysis purposes. …”
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Pulse Wave Generation Method for PPG by Using Display by Atsuhiro Fujii, Kazuya Murao, Naoji Matsuhisa

“…When the target heart rate was set to 40–55 and 105–200 bpm, the heart rate could also be input into the smartwatch with a small error under certain conditions. Moreover, when generated PPG data was imported into heart rate variability (HRV) analysis software, it was recognized as a pulse wave in the same way as real PPG data obtained from a person. …”
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Structural Health Monitoring under Nonlinear Environmental or Operational Influences by Jyrki Kullaa

“…Nonlinear models are most effective if the data dimensionality is low. On the other hand, linear models often outperform nonlinear models for high-dimensional data.…”
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A Novel Approach to Wavelet Neural Network-Based Wind Power Forecasting by Fedora Lia Dias, Anant J. Naik

“…In this paper, a novel Artificial Neural Network (ANN) approach using wavelet analysis for wind energy forecasting is proposed and tested with wind data from Kanyakumari, India, for different seasons. …”
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Deep neural networks have an inbuilt Occam’s razor by Chris Mingard, Henry Rees, Guillermo Valle-Pérez, Ard A. Louis

“…For Boolean function classification, we approximate the likelihood using the error spectrum of functions on data. Combining this with the prior yields an accurate prediction for the posterior, measured for DNNs trained with stochastic gradient descent. …”
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LFM: An R package for laplace factor model by Siqi Liu, Guangbao Guo

“…The Laplace Factor Model (LFM) is a valuable mathematical tool used in statistics, machine learning, and data analysis. It uses the Laplace distribution to capture data sparsity and uncertainty, effectively handling complex, large-scale data. …”
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Correction and Validation of Theoretical Model of Bubble Pumpin Einstein Refrigeration System by Chen Yongjun, Liu Daoping, Huang Yuanlin, Zhao Rongxiang, Lu Yinzhe, Ding Chong

“…The theoretical model of bubble pump was corrected to acquire the new empirical correlation, which was verified in terms of credibility .The results show that the experimental result is in reasonable agreement with the theoretical calculation of correction values. The data error of resistance loss coefficient fitted is within 5.3% and the correction results have strong accuracy and feasibility, which perfect the theoretical model of bubble pump. …”
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Estimates of reference evapotranspiration in the municipality of Ariquemes (RO) using neural networks GMDH-type by Roberto L. da S. Carvalho, Angel R. S. Delgado

“…Data analysis was performed using software R version 3.3.1 through the GMDH-type ANN package. …”
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Energy Consumption Prediction of Building Heating Systems Based on Model Identification Methods by 曲明璐, 杜尚赫, 张欣林, 于 震, 李 怀

“…The study conducts an in-depth analysis of time-series historical data generated by buildings using machine learning techniques. …”
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