A Method for Quantitative Evaluation of Seismic Stability of Loess Slope Based on the Shaking Table Model Test by Pu Xiaowu, Wang Lanmin, Wang Ping, Chai Shaofeng, Xu Shiyang

“…The large-scale shaking table model test, which can directly reproduce the process of slope instability and failure, is an important technical means for the prediction and evaluation of slope seismic stability. …”
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Cell Consistency Evaluation Method Based on Multiple Unsupervised Learning Algorithms by Jiang Chang, Xianglong Gu, Jieyun Wu, Debu Zhang

“…Experimental results show that the unsupervised learning algorithm is effective in visualizing and predicting vehicle core conformance faults, and can accurately predict faults in real time. …”
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Mass Rapid Transit System Passenger Traffic Forecast Using a Re-Sample Recurrent Neural Network by Rong Hu, Yi-Chang Chiu, Chih-Wei Hsieh, Tang-Hsien Chang, Xingsi Xue, Fumin Zou, Lyuchao Liao

“…The Recurrent Neural Network was applied to build a model to perform passenger traffic prediction, where the forecast task was transformed into a classification task. …”
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Forecasting temperature and precipitation values over the coming decades using the canESM2 model In the Ahrchai watershed. by jaefar derakhshi, behroz sobhani, saeed jahanbakhsh

“…In this study, the prediction of precipitation and temperature values using the general atmospheric circulation models during 1964-2005 is investigated. …”
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Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks by Tyanita Puti Marindah Wardhani, Zulkifli Tahir, Elly Warni, Anugrayani Bustamin, Muhammad Alief Fahdal Imran Oemar, Muhammad Alwi Kayyum

“…A reliable earthquake prediction method is necessary to reduce the after-effects to the greatest extent possible. …”
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Exploring the Role of Artificial Intelligence on Educational Dynamics: Evaluating its Impact on Pedagogical Practices and Student Learning Outcomes by Sarah Abou Karroum, Nour-Eldin Elshaiekh

“…The review of literature suggests role of AI in terms of profiling & prediction, tutoring, accessing student performance, grading & evaluation and personalization of learning experience which influences learning outcomes amongst students using mediating role of pedagogical beliefs of teachers.  …”
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Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach by Siti Aminah, Gianinna Ardaneswari, Mufarrido Husnah, Ghani Deori, Handi Bagus Prasetyo

“…Our research successfully developed a robust classification model capable of early detection and prediction of protein sequences in SARS-CoV-2 and other coronaviruses. …”
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Analysis of the Effect of Severe Accident Scenario on Debris Properties in Lower Plenum of Nordic BWR Using Different Versions of MELCOR Code by Sergey Galushin, Pavel Kudinov

“…In this work we use MELCOR code for prediction of the relocated debris. Over the years, many code modifications have been made to improve prediction of severe accident progression in light-water reactors. …”
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Optimalisasi Prediksi Harga Ihsg Menggunakan Hybrid Weighted Fuzzy Time Series Hidden Markov Model Dengan Algoritma Evolusi Differensial by Alya Fitri Syalsabilla, Suci Astutik, Agus Fachrur Rozy

“…This research aims to enhance the prediction of IHSG price through hybrid model optimization and performance evaluation. …”
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Study on the Optimizing Operation of Exhaust Air Heat Recovery and Solar Energy Combined Thermal Compensation System for Ground-Coupled Heat Pump by Kuan Wang, Nianping Li, Jinqing Peng, Yingdong He

“…For the accumulated solar irradiance of the four highest daily radiation hours, the monthly mean absolute percentage error (MAPE) between the predicted values and the measured values was 6.35%.…”
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Gas and Water Seepage of Tight Gas and Its Application in Well Production Analysis by Rui Zhang, Yang Gao, Yanbin Zhang, Peng Zhang, Xiaoli Pan, Wenjing Yang, Ligang Lv, Xingguan Chen

“…This method has been proved effective in the prediction of gas wells.…”
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Travel Choice Behavior Model Based on Mental Accounting of Travel Time and Cost by Shixu Liu, Jianchao Zhu, Said M. Easa, Lidan Guo, Shuyu Wang, Haoyu Wang, Yijian Xu

“…In the deterministic case, travelers have similar sensitivity to the change in gain and loss of travel time and cost. The prediction accuracy of the MA-TC model is 3% lower than the PT-TC model and 6% higher than the MA-HE model. …”
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Echoing Mechanism of Juvenile Delinquency Prevention and Occupational Therapy Education Guidance Based on Artificial Intelligence by Fang Hou

“…In this paper, in-depth research and analysis of juvenile delinquency prevention and occupational therapy education guidance using artificial intelligence are conducted, and its response mechanism is designed in this way. Two crime type prediction algorithms based on time-crime type count vectorization and dense neural network and crime type prediction based on the fusion of dense neural network and long- and short-term memory neural network are proposed. …”
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Glasgow Coma Scale and Its Components on Admission: Are They Valuable Prognostic Tools in Acute Mixed Drug Poisoning? by N. Eizadi Mood, A. M. Sabzghabaee, Gh. Yadegarfar, A. Yaraghi, M. Ramazani Chaleshtori

“…So, the values of admission GCS and its components for outcomes prediction in mixed drugs poisoning were investigated. …”
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Considerations in Raman Spectroscopy for Real-Time API Concentration Measurement at Tablet Press Feed Frame by Sumit Kumar, Zoltan Nagy, Gintaras V. Reklaitis, Marcial Gonzalez

“…The models were able to predict the concentration of acetaminophen with root mean squared error prediction (RMSEP) of 0.29% w/w when there was no fluorescence interference and 0.57% w/w when there was fluorescence interference in background spectra. …”
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Exploring the Antidiarrheal Properties of Papaya Leaf: Insights In Vivo Study in Mice-Model and In Silico Analysis at M3 Muscarinic Acetylcholine Receptor Interaction by Nyi Mekar Saptarini, Faruk Jayanto Kelutur, Mary Jho-Anne Tolentino Corpuz

“…Based on a molecular docking study, the flavonoid glycoside was very effective as an antidiarrheal remedy. ADMET prediction showed a specific distribution to the target and was not toxic.…”
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Machine learning algorithms in air quality modeling by A. Masih

“…The work aims at highlighting the underlying principles of machine learning techniques and about their role in enhancing the prediction performance. The study adopts, 38 most relevant studies in the field of environmental science and engineering which have applied machine learning techniques during last 6 years. …”
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Soft Sensor Modeling Method Based on SPA-GWO-SVR for Marine Protease Fermentation Process by Zhu Li, Khalil Ur Rehman, Liu Wenhui, Faiza Atique

“…Finally, the Excel spreadsheet data was called by MATLAB programming, and the established SPA-GWO-SVR soft sensor model predicted crucial biological variables. The simulation results show that the SPA-GWO-SVR model has higher prediction accuracy and generalization ability than the traditional SPA-SVR model. …”
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Alkali and sulfate effects on mechanical properties and microscopic mechanisms of slag and fly ash geopolymers by Miaomiao Gong, Ao Shen, Yiyi Wang, Haoran Lin, Rui He

“…The Projection Pursuit Regression (PPR) strength prediction model can fit the actual experimental data very well, which provides a feasible method for the proportion design and mechanical strength prediction of all-solid-waste cementitious systems.…”
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Physics-Based and Data-Driven Modeling of Degradation Mechanisms for Lithium-Ion Batteries—A Review by Pedro Lozano Ruiz, Nikolaos Damianakis, Gautham Ram Chandra Mouli

“…While single-mechanism PB models can be effective in the LIB first-life prediction, they can seriously undermine the knee-point and saturated aging. …”
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