Construction of a deep learning-based predictive model to evaluate the influence of mechanical stretching stimuli on MMP-2 gene expression levels in fibroblasts by Ruozu Xiao, Haowei Zhou, Zhen Shi, Rong Huang, Yuheng Zhang, Jing Li

“…An external validation set was also curated by culling pertinent literature from the PubMed database to assess the predictive ability of the model. Results Analysis of 336 data points related to MMP-2 gene expression via RT‒PCR corroborated the variability in MMP-2 gene expression levels in response to distinct mechanical stretching regimens. …”
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Machine learning-selected minimal features drive high-accuracy rule-based antibiotic susceptibility predictions for Staphylococcus aureus via metagenomic sequencing by Xuefeng Jia, Yongfen Xiong, Yanping Xu, Fangyuan Chen, Peng Han, Jieming Qu, Quanli He, Guanhua Rao

“…Analysis of 4,796 S. aureus genomes and AST data for 18 antibiotics revealed one to five key resistance genes per antibiotic, including two previously uncharacterized vancomycin resistance markers. …”
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A state-of-the-art novel approach to predict potato crop coefficient (Kc) by integrating advanced machine learning tools by Saad Javed Cheema, Masoud Karbasi, Gurjit S. Randhawa, Suqi Liu, Travis J. Esau, Kuljeet Singh Grewal, Farhat Abbas, Qamar Uz Zaman, Aitazaz A. Farooque

“…Different performance metrics such as correlation coefficient (R), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) were used to compare different model's performance. …”
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SWOT-Based Intertidal Digital Elevation Model Extraction and Spatiotemporal Variation Assessment by Hongkai Shi, Dongzhen Jia, Xiufeng He, Ole Baltazar Andersen, Xiangtian Zheng

“…The SWOT (surface water and ocean topography) mission, with its wide-swath interferometric altimetry technology, provides instantaneous full-swath elevation data in a single pass, offering a revolutionary data source for high-precision intertidal topographic monitoring. …”
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Smart forest monitoring: A novel Internet of Things framework with shortest path routing for sustainable environmental management by Alireza Etaati, Mostafa Bastam, Ehsan Ataie

“…In recent decades, the emergence of the IoT has been characterised by the utilisation of smart sensors for real‐time data collection. IoT facilitates proactive decision‐making for forest monitoring, control, and protection through advanced data analysis techniques, including AI algorithms. …”
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A single-snapshot inverse solver for two-species graph model of tau pathology spreading in human Alzheimer’s disease by Zheyu Wen, Ali Ghafouri, George Biros, the Alzheimer’s Disease Neuroimaging Initiative (ADNI)

“…Furthermore, for cases that have longitudinal data, we estimate a subject-specific AD onset time.…”
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Empirical Modeling of the Carbonylation of Acetylene for the Synthesis of Succinic Anhydride Using Gas Ratio (CO/C₂H₂) by Collins Ubaka Mordi, Ipeghan Jonathan Otaraku, Ishioma Laurene Egun

“…The verification of experimental data to validate model acceptability showed an error of less than 0.05. …”
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Long Short-Term Memory-Based Impact of Traffic Incidents: Case Study of Seoul Expressway, Korea by Sang-Hoon Bae, Duy Quang Tran, Bog-gi Park, Huy Tran Quang, Luan Nguyen Huu

“…Especially, the 10% VISSIM data penetration rate achieved the best performance with an average mean absolute percentage error (MAPE) of 24.80.…”
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APPLICATION OF EXTREME LEARNING MACHINE METHOD ON STOCK CLOSING PRICE FORECASTING PT ANEKA TAMBANG (PERSERO) TBK by Rita Apriliyanti, Neva Satyahadewi, Wirda Andani

“…The ELM method is applied by dividing training data for ELM modeling and testing data used in the forecasting process. …”
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FUZZY TIME SERIES BASED ON THE HYBRID OF FCM WITH CMBO OPTIMIZATION TECHNIQUE FOR HIGH WATER PREDICTION by Nursyiva Irsalinda, Dera Kurnia Laely, Sugiyarto Surono

“…The typical approach in forecasting involves the analysis of relationships among estimated variables.In this study, we apply Fuzzy Time Series (FTS) to water level data collected every 10 minutes at the Irish Achill Island Observation Station. …”
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Short-Term Telephone-Traffic Prediction of Power Grid Customer Service Based on Adaboost-CNN by QIN Hao, SU Liwei, WU Guangbin, JIANG Chongying, XU Zhipeng, KANG Feng, TAN Huochao, ZHANG Yongjun

“…Finally, considering the value-added services within the power supply service system, the prediction results of the model are corrected to obtain the final traffic prediction value. The case analysis shows that the proposed forecasting model reduces prediction error by an average of 11.05 percentage points compared to a single forecasting model and by 5.32 percentage points compared to a combined forecasting model, demonstrating better forecasting accuracy.…”
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ESTERR-PRO: A Setup Verification Software System Using Electronic Portal Imaging by Pantelis A. Asvestas, Konstantinos K. Delibasis, Nikolaos A. Mouravliansky, George K. Matsopoulos

“…The proposed system was tested on phantom data and on data from six patients. The root mean square error (RMSE) of the setup estimates was 0.8±0.3 (mean value ± standard deviation) for the phantom data and 0.3±0.3 for the patient data, respectively, by applying the two methodologies. …”
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Metro Station Passenger Volume Prediction Algorithm Based on Improved LSTNet Model by XU Ling, GUAN Jianbo, XU Xiwei, BAN Yong

“…[Method] Passenger volume data from Hangzhou Metro is selected, with an introduction to the types of data and the requirements for data preprocessing and analysis. …”
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Prediction Method of Air Braking Force of Heavy Load Train Based on Fuzzy Logic-based Neural Network by SHI Ke, ZHANG Zhengfang, BAI Jinglei, JIANG Jie

“…By processing the data, this method can get rid of the dependence on traditional air braking model, avoid coupling analysis between charging and discharging time and decompression process, and can get air braking force prediction value more accurately. …”
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FUSE-Net: Multi-Scale CNN for NIR Band Prediction from RGB Using GNDVI-Guided Green Channel Enhancement by Gwanghyeong Lee, Deepak Ghimire, Donghoon Kim, Sewoon Cho, Byoungjun Kim, Sunghwan Jeong

“…Hyperspectral imaging (HSI) is a powerful tool for precision imaging tasks such as vegetation analysis, but its widespread use remains limited due to the high cost of equipment and challenges in data acquisition. …”
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HUBUNGAN ANTARA KESIAPAN BELAJAR DENGAN KOMPETENSI INTI PENGETAHUAN BAHASA INDONESIA PADA SISWA KELAS V SD GUGUS LETKOL WISNU DENPASAR UTARA TAHUN PELAJARAN 2017/2018 by Ni Putu Trisna Hendrayani

“…As the test was a normality test data distribution. After all the prerequisite tests were fulfilled, statistical analysis used in this research was hypothesis test which used product moment correlation analysis. …”
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Computational methods and technical means of processing signals of side electromagnetic emanation by Danil A. Shinyaev, Leonid N. Kessarinskiy, Egor A. Simakhin

“…Due to the 10-bit noise-resistant encoding of video information for digital data transmission interfaces, signal analysis and image restoration are most difficult. …”
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Diagnostic model for COPD patients with nocardia infection: a study based on clinical features and risk factors by Kai Zhang, Kangli Yang, Hongmin Wang

“…Design: A retrospective analysis was conducted on clinical data from 586 patients diagnosed with COPD and Nocardia infection, including clinical symptoms, laboratory tests, imaging findings, and treatment outcomes. …”
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Explicit and explainable artificial intelligent model for prediction of CO2 molecular diffusion coefficient in heavy crude oils and bitumen by Saad Alatefi, Okorie Ekwe Agwu, Ahmad Alkouh

“…Furthermore, an outlier detection analysis using the statistical leverage approach demonstrated that the data used was of high quality. …”
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Integrating analytical statistical models, sequential pattern mining, and fuzzy set theory for advanced mobile app reliability assessment by Oleksandr Shmatko, Oleksii Kolomiitsev, Volodymyr Fedorchenko, Iryna Mykhailenko, Viacheslav Tretiak

“…The application of the methodology is demonstrated by studying software error reports and conducting a comprehensive statistical analysis of them. …”
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