Ignition delay prediction for fuels with diverse molecular structures using transfer learning-based neural networks by Mo Yang, Dezhi Zhou

“…Two machine learning models, an artificial neural network and a graph convolutional network, are trained on this dataset, and their prediction performance was evaluated. …”
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Analysis and Implementation of Optimization Techniques for Facial Recognition by Justice Kwame Appati, Huzaifa Abu, Ebenezer Owusu, Kwaku Darkwah

“…Experimental results of these hybrid models on the ORL dataset reveal an accuracy of 99.25% for PSO and KNN, followed by ABC with 93.72% and GA with 87.50%. …”
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Comparison Analysis of Single Loop Resonator Based Miniaturized Triple-Band Planar Monopole Antennas by Kaimin Wu, Yongjun Huang, Ruiming Wen, Jian Li, Guangjun Wen

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Classification of User Expressions on Social Media Using LSTM and GRU Models by I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti

“…The research process includes data preprocessing, training, and model performance evaluation. The dataset used is derived from Twitter social media and is available on Kaggle. …”
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Gaussian Function Fusing Fully Convolutional Network and Region Proposal-Based Network for Ship Target Detection in SAR Images by Peipei Zhang, Guokun Xie, Jinsong Zhang

“…The segmentation and detection results on the established segmentation dataset and detection dataset, respectively, demonstrate the effectiveness of our proposed segmentation methods and detection methods.…”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…The classifier is trained using a labeled dataset and then learns to distinguish between benign and malicious requests by assessing their computed probabilities. …”
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Contrast Sensitivity after Zyoptix Tissue Saving LASIK and Standard LASIK for Myopia with 6-Month Followup by Li-Quan Zhao, Huang Zhu

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Study on constraint of mixed mode crack and failure assessment diagram of pressure-bearing structure by MIAO Xinting, LIU Guoxu, ZHANG Jinbo, PENG Jian, BIE Fengfeng

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Unmanned aerial vehicle aerial image stitching method based on superpixel segmentation by Zhiyou Lian, Jianhua Ren

“…Experimental validation using the public dataset UAV-image-mosaicing dataset demonstrates that our method achieves nearly double the speed of feature extraction compared to traditional feature extraction algorithms and triples the feature matching rate. …”
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On the estimation of inverse-probability-of-censoring weights for the evaluation of survival prediction error. by Thomas Prince, Andrea Bommert, Jörg Rahnenführer, Matthias Schmid

“…The established paradigm of splitting a dataset into a training and a test set for model fitting and evaluation raises the question which of these datasets to use in order to fit the censoring model. …”
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Investigation of the effects of fans' club image perceptions and fan group membership status on sports consumption behaviors by Sercan Kural, Ismail Karatas

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Monitoring Changes in Clustering Solutions: A Review of Models and Applications by Muhammad Atif, Muhammad Shafiq, Muhammad Farooq, Gohar Ayub, Friedrich Leisch, Muhammad Ilyas

“…The clustering technique is an unsupervised learning problem that involves the identification of natural subgroups in a large dataset. In contrast to supervised learning models, clustering is a data mining technique that retrieves the hidden pattern in the input dataset. …”
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Rolling Bearing Fault Diagnosis Method Based on Multisynchrosqueezing S Transform and Faster Dictionary Learning by Guodong Sun, Ye Hu, Bo Wu, Hongyu Zhou

“…Further, the proposed method is applied to the loudspeaker pure-tone detection dataset, and the loudspeaker anomaly diagnosis is achieved. …”
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Vietnamese Sentiment Analysis under Limited Training Data Based on Deep Neural Networks by Huu-Thanh Duong, Tram-Anh Nguyen-Thi, Vinh Truong Hoang

“…The annotated dataset is an essential requirement to develop an artificial intelligence (AI) system effectively and expect the generalization of the predictive models and to avoid overfitting. …”
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Segmental morphometrics of the southern yellow-cheeked crested gibbon (Nomascus gabriellae): the case study of four individuals in zoo by François Druelle, Mélanie Berthet

“…Measurements were taken on four captive animals during a routine veterinary exam coinciding with maintenance to their enclosure within the zoo. We compared our dataset to the only available and comparable sample of gibbon morphometrics (three Hylobates lar and one Symphalangus syndactylus). …”
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New Objective Refraction Metric Based on Sphere Fitting to the Wavefront by Mateusz Jaskulski, Andreí Martínez-Finkelshtein, Norberto López-Gil

“…The optimal fitting distance, topt, is obtained empirically from a dataset of 308 eyes as a function of objective refraction pupil radius, r0, and used to define the formula of a new wavefront refraction metric (MTR). …”
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An affine invariant approach for dense wide baseline image matching by Fanhuai Shi, Jian Gao, Xixia Huang

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Automated Audit and Self-Correction Algorithm for Seg-Hallucination Using MeshCNN-Based On-Demand Generative AI by Sihwan Kim, Changmin Park, Gwanghyeon Jeon, Seohee Kim, Jong Hyo Kim

“…Two publicly available datasets were used in developing the ASHSC algorithm: 280 CT scans from the TotalSegmentator dataset for training and 274 CT scans from the Cancer Imaging Archive (TCIA) dataset for performance evaluation. …”
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Development and validation of a Non-INvaSive Pregnancy RIsk ScoRE (INSPIRE) for the screening of high-risk pregnant women for gestational diabetes mellitus in Pakistan by Romaina Iqbal, Iqbal Azam, Subhash Chandir, Rahat Qureshi, Ali Jaffar, Neelofur Babar, Sabahat Naz, Samreen Jamal, Aisha Syed Wali

“…We performed a multivariable logistic regression analysis to obtain coefficients of selected predictors for GDM in the derivation dataset. Calibration was estimated using Pearson’s χ2 goodness of fit test while discrimination was checked using the area under the curve (AUC) in the validation dataset.Results Overall, the GDM prevalence was 26% (n=130). …”
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ALL-Net: integrating CNN and explainable-AI for enhanced diagnosis and interpretation of acute lymphoblastic leukemia by Abhiram Thiriveedhi, Swetha Ghanta, Sujit Biswas, Ashok K. Pradhan

“…The ALL-Net CNN is initially designed and trained on the PBS image dataset, achieving an impressive test accuracy of 97.85%. …”
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