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For: Karunasingha DSK. Root mean square error or mean absolute error? Use their ratio as well. Information Sciences 2022;585:609-29. [DOI: 10.1016/j.ins.2021.11.036] [Cited by in Crossref: 20] [Cited by in F6Publishing: 20] [Article Influence: 20.0] [Reference Citation Analysis]
Number Citing Articles
1 Sadegh-zadeh S, Dastmard A, Montazeri Kafshgarkolaei L, Movahedi S, Shiry Ghidary S, Najafi A, Saadat M. Machine Learning Modelling for Compressive Strength Prediction of Superplasticizer-Based Concrete. Infrastructures 2023;8:21. [DOI: 10.3390/infrastructures8020021] [Reference Citation Analysis]
2 Silvestri S, Islam S, Papastergiou S, Tzagkarakis C, Ciampi M. A Machine Learning Approach for the NLP-Based Analysis of Cyber Threats and Vulnerabilities of the Healthcare Ecosystem. Sensors (Basel) 2023;23:651. [PMID: 36679446 DOI: 10.3390/s23020651] [Reference Citation Analysis]
3 Kurt M, Kurt Z, Işık Ş. Using deep learning approaches for coloring silicone maxillofacial prostheses: A comparison of two approaches. J Indian Prosthodont Soc 2023;23:84-9. [PMID: 36588380 DOI: 10.4103/jips.jips_149_22] [Reference Citation Analysis]
4 Beller S. Torque Estimation with Artificial Intelligence Methods in a Brushed Geared Dc Motor. Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 2022. [DOI: 10.21605/cukurovaumfd.1230790] [Reference Citation Analysis]
5 Marak ZR, Ambarkhane D, Kulkarni AJ. Application of artificial neural network model in predicting profitability of Indian banks. KES 2022;26:159-173. [DOI: 10.3233/kes-220020] [Reference Citation Analysis]
6 Ma Y, Han Y, Chen M, Che Y. Study on Dynamic Evaluation of Sci-tech Journals Based on Time Series Model. Applied Sciences 2022;12:12864. [DOI: 10.3390/app122412864] [Reference Citation Analysis]
7 Sarkar N, Gupta R, Keserwani PK, Govil MC. Air Quality Index prediction using an effective hybrid deep learning model. Environmental Pollution 2022;315:120404. [DOI: 10.1016/j.envpol.2022.120404] [Reference Citation Analysis]
8 Liu Y, Duan N, Xu F, Jiang L, Cheng W, Xu Y, Zhu G. Development and validation of a real-time and non-destructive method for direct measurement of solid mixture based on reflection spectra. Journal of Cleaner Production 2022;378:134362. [DOI: 10.1016/j.jclepro.2022.134362] [Reference Citation Analysis]
9 Wang M, Xiao Z, Peng H, Wang X, Wang J. Stock price prediction for new energy vehicle enterprises: An integrated method based on time series and cloud models. Expert Systems with Applications 2022;208:118125. [DOI: 10.1016/j.eswa.2022.118125] [Reference Citation Analysis]
10 Zhang Y, Feng Q, Chen F, Liu D, Pei J, Zhong S, Yang Z, Dang Z. Long-term capacitance variation characteristics, law extraction, single and collaborative prediction of film capacitors at room temperature and humidity. Microelectronics Reliability 2022;139:114845. [DOI: 10.1016/j.microrel.2022.114845] [Reference Citation Analysis]
11 Dinata IGA, Yudistira N, Muflikhah L. Indonesian Stock Prices Prediction using Bidirectional Long Short-Term Memory. 7th International Conference on Sustainable Information Engineering and Technology 2022 2022. [DOI: 10.1145/3568231.3568249] [Reference Citation Analysis]
12 Xie Y, Zeng W, Qiu J. Integrated water risk early warning framework of the semi-arid transitional zone based on the water environmental carrying capacity (WECC). J Arid Land 2022. [DOI: 10.1007/s40333-022-0083-z] [Reference Citation Analysis]
13 Abulibdeh A, Zaidan E, Jabbar R. The impact of COVID-19 pandemic on electricity consumption and electricity demand forecasting accuracy: Empirical evidence from the state of Qatar. Energy Strategy Reviews 2022;44:100980. [DOI: 10.1016/j.esr.2022.100980] [Reference Citation Analysis]
14 Islam S, Hassanzadeh Amin S, Wardley LJ. Supplier selection and order allocation planning using predictive analytics and multi-objective programming. Computers & Industrial Engineering 2022. [DOI: 10.1016/j.cie.2022.108825] [Reference Citation Analysis]
15 Haghbin M, Sharafati A, Asadollah SBHS, Motta D. Developing a generic relation for predicting sediment pick-up rate using symbolic soft computing techniques. Environ Sci Pollut Res Int 2022. [PMID: 36217045 DOI: 10.1007/s11356-022-23450-6] [Reference Citation Analysis]
16 Huang J, Algahtani M, Kaewunruen S. Energy Forecasting in a Public Building: A Benchmarking Analysis on Long Short-Term Memory (LSTM), Support Vector Regression (SVR), and Extreme Gradient Boosting (XGBoost) Networks. Applied Sciences 2022;12:9788. [DOI: 10.3390/app12199788] [Reference Citation Analysis]
17 Li P, Hu Z, Fu Y, Li G, Guo J, Yuan D, Gupta P. Normality Test for Influence Function of Mining Surface Subsidence Based on Network Observation Station. Mathematical Problems in Engineering 2022;2022:1-12. [DOI: 10.1155/2022/2201996] [Reference Citation Analysis]
18 Liu Z, Liu Z, Liu G, Yang X, Yan J. Melting assessment on the effect of nonuniform Y-shaped fin upon solid–liquid phase change in a thermal storage tank. Applied Energy 2022;321:119330. [DOI: 10.1016/j.apenergy.2022.119330] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
19 Luo H, Li X, Yuan F, Yuan C, Huang W, Ji Q, Wang X, Liu B, Zhu G. Application of a New Architecture Neural Network in Determination of Flocculant Dosing for Better Controlling Drinking Water Quality. Water 2022;14:2727. [DOI: 10.3390/w14172727] [Reference Citation Analysis]
20 Abdelbasset WK, Elkholi SM, Ahmed Ismail K, A.a.m. Alalwani T, Hachem K, Mohamed A, Agustiono Kurniawan T, Andreevna Rushchitc A. Modeling and computational study on prediction of pharmaceutical solubility in supercritical CO2 for manufacture of nanomedicine for enhanced bioavailability. Journal of Molecular Liquids 2022;359:119306. [DOI: 10.1016/j.molliq.2022.119306] [Reference Citation Analysis]
21 Yue Y, Xu S, Zuo X. Nonlinear correction method of pressure sensor based on data fusion. Measurement 2022;199:111303. [DOI: 10.1016/j.measurement.2022.111303] [Reference Citation Analysis]
22 Apostolopoulos DN, Avramidis P, Nikolakopoulos KG. Estimating Quantitative Morphometric Parameters and Spatiotemporal Evolution of the Prokopos Lagoon Using Remote Sensing Techniques. JMSE 2022;10:931. [DOI: 10.3390/jmse10070931] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
23 Hamad K, Obaid L, Haridy S, Zeiada W, Al‐khateeb G. Factorial design–machine learning approach for predicting incident durations. Computer aided Civil Eng. [DOI: 10.1111/mice.12883] [Reference Citation Analysis]
24 Polanski DM, Angelopoulos CM. Modelling Virtual Sensors for Indoor Environments with Machine Learning. 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS) 2022. [DOI: 10.1109/dcoss54816.2022.00046] [Reference Citation Analysis]
25 Leng Y, Huang Y. Power System Black-Start Decision Making Based on Back-Propagation Neural Network and Genetic Algorithm. J Electr Eng Technol 2022;17:2123-34. [DOI: 10.1007/s42835-022-01041-2] [Reference Citation Analysis]
26 Contini S, Rombo SE. A Collaborative Filtering Approach for Drug Repurposing. New Trends in Database and Information Systems 2022. [DOI: 10.1007/978-3-031-15743-1_35] [Reference Citation Analysis]