Prediction of electrical load demand using combined LHS with ANFIS. by Ahmed G Ismail, Sayed H A Elbanna, Hassan S Mohamed

“…Thus, findings of this research contribute to advanced developments rather than previous research by introducing a combined predictive methodology that leverages LHS to ensure solving limitations of previous methods like structured, stratified sampling of input variables, reducing overfitting and enhancing adaptability to varying data sizes. Additionally, it incorporates sensitivity analysis and risk assessment, significantly improving predictive accuracy. …”
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A Comparison of Elman Neural Network Performance Before and After Using Wavelet Transform by Hawnaz Hassan Sidiq, Mohammad Mahmood Faqe Hussein

“…The country possesses vast reserves and has consistently worked on expanding its production capacity through partnerships and investments in key oil fields ELA HOMEPAGE.The analysis is based on  comparison between the Elman Neural Network before and after using wavelete transform to interpret the data. …”
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Market Predictability Before the Closing Bell Rings by Lu Zhang, Lei Hua

“…Unlike the commonly employed multiple linear regression methods with Gaussian errors, this research utilizes a Bayesian linear regression model with Student-<i>t</i> error terms to more accurately capture the heavy tails characteristic of financial returns. …”
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Exploring synergistic patterns in bimanual distal limb movements through low dimensional representations by Prajwal Shenoy, S. K. M. Varadhan

“…This paper attempted to address this question by exploring synergies obtained by performing Principal Component Analysis (PCA) on the kinematic data recorded from both the dominant and non-dominant hands of the participants as they performed bimanual tasks. …”
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Implementation of the Pancasila student profile strengthening project (p5) in early childhood education (PAUD) by Agus Ruswandi, Andina Alviona, Ghina Hasna, Ine Amelia, Jihan Nabilla

“…Data analysis techniques using descriptive statistical analysis, namely by calculating the mean value of each indicator. …”
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Analyze The Effect of The Impeller Type on Bearing Rating Life by Fatchan Mubarok Tsani, Yasinta Sindy Pramesti

“…This research adopts a quantitative causality method, collecting data and samples during the study and then analyzing them using the Analysis of Variance (ANOVA) method. …”
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Model-Based Adaptive Iterative Hard Thresholding Compressive Sensing in Sensor Network for Volcanic Earthquake Detection by Guojin Liu, Qian Zhang, Yuyuan Yang, Zhenzhi Yin, Bin Zhu

“…Secondly, a compressive sensing reconstruction algorithm with theoretical analysis of its error bound is presented. Experimental results based on real volcano-seismic data collected from a volcano show that our method can recover the original seismic signal and achieve accurate P-phase picking based on the reconstructed seismic signal.…”
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Real-Time Recognition of Loading Cycles’ Process Based on Electric Mining Shovel Monitoring by Bonan Wang, Yun Duan, Wei Xu

“…Results showed that the proposed recognition method of the shovel loading cycle process exhibited real-time performance and high accuracy in understanding the different work tasks, providing effective data support for mining and the analysis of shovel working parameters, helping to improve the energy efficiency of electric mining shovel.…”
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Fatigue Life Prediction of the Pin Coupling with Elastic Sleeves Based on Transient Dynamics and the ARIMA Model by Hu Yuming, Xiong Xin, Guo Kai

“…Based on transient dynamic fatigue analysis data, combined with the differential autoregressive integrated moving average (ARIMA) model, the fatigue life prediction of pin couplings with elastic sleeves is realized. …”
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Deep Learning in Financial Modeling: Predicting European Put Option Prices with Neural Networks by Zakaria Elbayed, Abdelmjid Qadi EI Idrissi

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Deterministic Neutronics Calculation Method of Small Lead-cooled Reactor Based on Venus-Ⅱ Criticality Experimental Facility and Its Verification by YANG Yichen1, ZHENG Youqi1, ZHU Qingfu2, ZHOU Qi2, NING Tong2

“…Then it was verified and validated using the criticality experimental data of Venus-Ⅱ. The results show that the SARAX code system can generate high-precision homogenized cross-sections in the criticality analysis of the solid lead-cooled reactor with a complex neutron spectrum and complex geometry. …”
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“Coping self-efficacy scale” evaluation of the Turkish validity and reliability of the scale by Ozden Gokdemir, Ogulcan Come, Cetin Akın, Merthan Tunay

“…The collected data were analyzed using the following statistical methods: “Explanatory Factor Analysis (EFA),” “Confirmatory Factor Analysis (CFA),” “Cronbach’s Alpha.” …”
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Potential impacts of artificial intelligence for management accounting in the perception of professionals in the field by Marcela Chagas de Souza Schwindt, Simone Alves da Costa

“…Another aspect addressed is the potential of technology and expanded as the variables used for analysis, dealing with a large quantity of data, in addition to factors such as time reduction, quality increase, greater process agility and error reduction. …”
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Integrated Platform for Bio-Image Processing and Identification of Cervical Cancer by Larisa-Dalina LAZĂR, Diogen BABUC, Todor IVAŞCU

“…We selected publicly available datasets, including Herlev and SIPaKMeD, to evaluate the performance of the proposed models, which are a very respectful base in the state-of-the-art analysis. Considering convex models and papers, CNN showed the best results on augmented cervical cells data. …”
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Static detection method for multi-level network source code vulnerabilities based on knowledge graph technology by Peng Xiao, Lina Zhang, Ying Yan, Zhenhong Zhang

“…Web crawler technology is selected to collect and preprocess vulnerability data to avoid interference from network environment and malicious programs, which leads to redundancy and abnormal vulnerability data. …”
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Quantitative Detection of Quartz Sandstone SiO2 Grade Using Polarized Infrared Absorption Spectroscopy with Convolutional Neural Network Model by Banglong Pan, Hongwei Cheng, Shuhua Du, Hanming Yu, Shaoru Feng, Yi Tang, Juan Du, Huaming Xie

“…Principal component analysis (PCA) and the successive projection algorithm (SPA) were used to reduce the dimension of the original data, first-order derivative, reciprocal logarithm, and multivariate scattering correction (MSC) data. …”
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Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals by Guanghui Zhang, Steven J. Luck

“…We assessed decoding performance in relatively simple binary classification tasks using data from seven commonly-used event-related potential paradigms (N170, mismatch negativity, N2pc, P3b, N400, lateralized readiness potential, and error-related negativity), as well as more challenging multi-way decoding tasks, including stimulus location and stimulus orientation. …”
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Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM by Feng-Ming Zhao, De-Xin Gao, Yuan-Ming Cheng, Qing Yang

“…Initially, key parameters such as voltage, current, temperature, and SOH are extracted and averaged for each cycle to ensure the uniformity and reliability of the input data. The CNN is utilized to extract deep features from the data, followed by BiLSTM to analyze the temporal dependencies in the data sequences. …”
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Comprehensive comparison between artificial intelligence and multiple regression: prediction of Palmerston North’s temperature by M. Y. Tufail, S. Gul

“…We then reduce the analysis to three cities by excluding Taupo. The temperature data spans from 1971 to 2019 for our investigation. …”
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The Estimation of German Football League (Bundesliga) Team Ranking via Artificial Neural Network Model by Faruk Kılıç, Hasan Aka, Serkan İbiş, Zait Burak Aktuğ

“…Total 12 input values (scored and conceded goals) and 1 output (league ranking) value was obtained. 4 different models were determined. 3 seasons league rankings were estimated by training the first 2 season data. All data were separated randomly for training and testing. …”
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