Microwave-Convective Processing of Whipped Bread: Mathematical Modeling by Anatoly A. Khvostov, Gazibeg O. Magomedov, Victor I. Ryazhskih, Aleksey A. Zhuravlev, Magomed G. Magomedov, Inessa V. Plotnikova, Aleksei S. Taratukhin

“…The equation took into account the unstable phase transition boundary. The practical verification showed the mean error for microwave baking as 14.5% in temperature and 18.2% in moisture content. …”
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Parallel boosting neural network with mutual information for day-ahead solar irradiance forecasting by Ubaid Ahmed, Anzar Mahmood, Ahsan Raza Khan, Levin Kuhlmann, Khurram Saleem Alimgeer, Sohail Razzaq, Imran Aziz, Amin Hammad

“…Abstract The transition to sustainable energy has become imperative due to the depletion of fossil fuels. …”
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Characteristics and Influencing Factors of Cropland Function Trade-Off in Highly Urbanized Areas: Insights from the Yangtze River Delta Region in China by Jieyi Tao, Jinhe Zhang, Ping Dong, Yuqi Lu, Xiaobin Ma, Zipeng Zhang, Yingjia Dong, Peijia Wang

“…The results indicated the following: (1) The cropland function in the Yangtze River Delta region has undergone a transition from a single production function to a composite function integrating ecology and life in conjunction with urbanization. …”
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Artificial Neural Network Modeling of NixMnxOx based Thermistor for Predicative Synthesis and Characterization by T.D. Dongale, K.G. Kharade, N.B. Mullani, G.M. Naik, R.K. Kamat

“…We measure the performance of the ANN model with regard to mean square error (MSE) and the correlation coefficient between expected output and output provided by the network. …”
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<span style="font-variant: small-caps">EpiInfer</span>: A Non-Markovian Method and System to Forecast Infection Rates in Epidemics by Jovan Kascelan, Ruoxi Yang, Dennis Shasha

“…Doing so would reduce relative Root Mean Squared Error (RMSE) over any state of the art method by up to a factor of 4. …”
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Study of the possibility of producing semi-hard cheeses from frozen goat’s milk by V. A. Mordvinova, G. M. Sviridenko, I. L. Ostroukhova, D. V. Ostroukhov

“…The level of syneresis was (55±2)% in the control, (55±6)% — in the test versions and was in the range of error of the method. The degree of transition of dry matter to whey was: in the control — (7.26±0.21)%, in the test — (7.21±0.32)%. …”
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Wireless Channel Prediction Using Artificial Intelligence With Imperfect Datasets by Gowhar Javanmardi, Ramiro Samano Robles

“…Results show that neural networks (NNs), particularly deep learning (DL), continuously reduce the mean square error (MSE) as the length of the set increases. They quickly outperform LR, even in sets near the undersampling condition with low SNR. …”
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Numerical and Experimental Study on Deicing of Wind Turbine Blades by Electric Heating Under Complex Flow Field by Jianwei Li, Panpan Yang, Xuemei Huang, Leian Zhang, Jinghua Wang

“…The peak steady-state temperature of the continuous heating mode is 24.2 °C, and the deviation from the simulation result is only 2.8 °C, which is within the acceptable error range, effectively verifying the reliability of the numerical calculation model established.…”
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Influence of Clay on Solute Transport in Saturated Homogeneous Mixed Media by Albert Kwame Kwaw, Zhi Dou, Jinguo Wang, Yuting Zhang, Xueyi Zhang, Wenyuan Zhu, Portia Annabelle Opoku

“…As the fraction of clay increased, the global error of ADE fits also increased, affirming the inefficiency of ADE in capturing the clay-induced non-Fickian behaviour. …”
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RESEARCH INTO SPEECH-TO-TEXT TRANFROMATION MODULE IN THE PROPOSED MODEL OF A SPEAKER’S AUTOMATIC SPEECH ANNOTATION by Olesia Barkovska

“… The subject matter of the article is the module for converting the speaker’s speech into text in the proposed model of automatic annotation of the speaker’s speech, which has become more and more popular in Ukraine in the last two years, due to the active transition to an online form of communication and education as well as conducting workshops, interviews and discussing urgent issues. …”
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Utilising Macau Science Satellite-1 Data and Comprehensive Datasets to Develop a Lithospheric Magnetic Field Model of the Chinese Mainland by Yan Feng, Xinwu Li, Yuxuan Lin, Jiaxuan Zhang, Jinyuan Zhang, Yi Jiang, Qing Yan, Pengfei Liu

“…Error analyses reflected the importance of MSS-1 data, which contributed notably to modelling by capturing finer-scale magnetic structures. …”
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A new method for determining factors Influencing productivity of deep coalbed methane vertical cluster wells by HUANG Li, XIONG Xianyue, WANG Feng, SUN Xiongwei, ZHANG Yixin, ZHAO Longmei, SHI Shi, ZHANG Wen, ZHAO Haoyang, JI Liang, DENG Lin

“…The desorption production patterns of deep coalbed methane（CBM） vertical cluster wells, as well as the transition timing between free gas and desorbed gas, remain unclear. …”
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Automatic identification of tokamak plasma confinement states (L-mode, ELM-free H-mode, and ELMy H-mode) with multi-task learning neural network by Guo-Hong Deng, Peng-Cheng Xie, You-Wen Sun, Hui-Hui Wang, Jian Xu, Qun Ma, Shuai Gu, Hui Sheng, Hua Yang, Gao-Ting Chen

“…The multi-task learning framework allows for mutual error correction between tasks, resulting in higher accuracy and robustness compared to single-task models. …”
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Performance of wind assessment datasets in United States coastal areas by L. M. Sheridan, J. Wang, C. Draxl, N. Bodini, C. Phillips, D. Duplyakin, H. Tinnesand, R. K. Rai, J. E. Flaherty, L. K. Berg, C. Jung, E. Young, R. Kotamarthi

“…GWA3 produces the smallest annual average wind speed relative errors, whereas WTK-LED Climate is in best agreement in terms of representing diurnal wind speed cycles. …”
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Localization of Capsule Endoscope in Alimentary Tract by Computer-Aided Analysis of Endoscopic Images by Ruiyao Zhang, Boyuan Peng, Yiyang Liu, Xinkai Liu, Jie Huang, Kohei Suzuki, Yuki Nakajima, Daiki Nemoto, Kazutomo Togashi, Xin Zhu

“…Compared with the landmarks identified by endoscopists, the proposed method demonstrated an average transition time error of 16.2 s to locate the intersection of the stomach and small intestine, as well as 13.5 s to locate that of the small intestine and the large intestine, based on the 20 validation videos with an average length of 3261.8 s. …”
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Design of nonlinear gradient sheet-based TPMS-lattice using artificial neural networks by Zhou Li, Junhao Li, Jiahao Tian, Shiqi Xia, Kai Li, Guanqiao Su, Yao Lu, Mengyuan Ren, Zhengyi Jiang

“…Taking a typical cantilever beam TPMS structure as an example of nonlinear gradient design, the results indicate that the error between the ANN-predicted and FE-simulated structure topology element densities is only 2.73 %, with prediction time being only 0.15 % of the simulation time. …”
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Assessing effective mask use by the public in two countries: an observational study by Peter C Austin, Bory Kea, Bin Chen, Arshia P Javidan, Huong Nguyen, Alex Chang, Allen Li, Clare L Atzema, Ivona Mostarac, Dana Button, Lauren Wintraub, Raumil V Patel, Daniel Dongjoo Lee, Nathaniel P Latham, Eric A Latham, Patrick C M Brown, Rita D Somogyi, Sara Buerk, Tristen Zimmerman, Trevor Funari, Cameron Colbert

“…Subjects aged 81+ years (vs 31–65 years) and those on public transit and at the airport (vs stores) had higher odds of mask errors. …”
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Surface circulation characterization along the middle southern coastal region of Vietnam from high-frequency radar and numerical modeling by T. H. Tran, T. H. Tran, A. Sentchev, T. To Duy, M. Herrmann, S. Ouillon, S. Ouillon, K. C. Nguyen

“…Both methods achieved a significant reduction (<span class="inline-formula">∼</span> 36 %–40 %) in the error of the surface current velocity fields compared to the measured data. …”
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Wind speed forecasting approach using conformal prediction and feature importance selection by Cesar Vinicius Zuege, Stefano Frizzo Stefenon, Cristina Keiko Yamaguchi, Viviana Cocco Mariani, Gabriel Villarrubia Gonzalez, Leandro dos Santos Coelho

“…Wind energy is a rising renewable energy source that plays an important role in the transition to a more sustainable energy system. Variation in wind power generation is one of the main challenges facing this energy source. …”
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Spatiotemporal Land Use Change Detection Through Automated Sampling and Multi-Feature Composite Analysis: A Case Study of the Ebinur Lake Basin by Yi Yang, Liang Zhao, Ya Guo, Shihua Liu, Xiang Qin, Yixiao Li, Xiaoqiong Jiang

“…Feature selection based on the Gini coefficient and Out-Of-Bag Error (OOBE) reduced the original 48 features to 23. …”
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