The Improvement of Automated Crack Segmentation on Concrete Pavement with Graph Network by Jiang Chen, Ye Yuan, Hong Lang, Shuo Ding, Jian John Lu

“…Finally, the method is tested on a self-built 3D concrete pavement crack dataset. The proposed method achieves the highest F1 and IoU (Intersection over Union) in the comparison experiments. …”
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Explicit relation between thin film chromatography and column chromatography conditions from statistics and machine learning by Hao Xu, Wenchao Wu, Yuntian Chen, Dongxiao Zhang, Fanyang Mo

“…This study explicitly elucidates how chemists use thin-layer chromatography (TLC) to determine column chromatography (CC) conditions, employing statistical analysis and machine learning techniques. An experimental dataset of the CC is generated from the automatic platform developed in this study. …”
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Creating Semantic Learner Groups in Distance Education Using the GraphSAGE approach by Chetoui Ismail, El Bachari Essaid, Ait Lahcen Yassine

“…The results, evaluated on a comprehensive educational dataset, underscore the potential of GraphSAGE in transforming educational data into actionable insights for semantic group creation.…”
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Comparison of Fully Convolutional Networks and U-Net for Optic Disc and Optic Cup Segmentation by Jin Zixiao

“…The restrictions related to this study include biases from using only one dataset acquired from particular imaging devices, dependency on mask-based cropping techniques, and comparison being restricted to two fundamental architectures. …”
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Fabrication of periodically poled lithium niobate waveguides for broadband nonlinear photonics by Furkan Ayhan, Markus Ludwig, Tobias Herr, Victor Brasch, Luis Guillermo Villanueva

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Activity-Trip Chaining Behavior of Urban Low-Income Populations in Nanjing, China: A Structural Equations Analysis by Zhaoming Chu, Hui Chen, Lin Cheng, Xuewu Chen, Senlai Zhu

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Two-layer homolog network approach for PFAS nontarget screening and retrospective data mining by Zhaoyu Jiao, Sachi Taniyasu, Nanyang Yu, Xuebing Wang, Nobuyoshi Yamashita, Si Wei

“…We detected 94 PFAS in twelve waterproof products and two related industrial sludges, including 36 novel PFAS not previously reported in any sample. A local dataset is constructed for retrospective analysis by re-analyzing our previous samples, revealing fifteen novel PFAS in samples collected in 2005. …”
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Lung Cancer Prediction Using Neural Network Ensemble with Histogram of Oriented Gradient Genomic Features by Emmanuel Adetiba, Oludayo O. Olugbara

“…The ANN ensemble and HOG best fit the training dataset of this study with an accuracy of 95.90% and mean square error of 0.0159. …”
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Multitemporal High-Resolution Satellite Images for the Study and Monitoring of an Ancient Mesopotamian City and its Surrounding Landscape: The Case of Ur by Giacomo Di Giacomo, Giuseppe Scardozzi

“…The paper concerns the use of multitemporal high-resolution satellite images for the study of the ancient city of Ur, in southern Mesopotamia, inaccessible to scholars from 2003. The acquired dataset is composed by two Gambit KH-7 (1966) and one Corona KH-4B (1968) declassified spy space photos and by few images taken by the recent satellites for civilian use QuickBird-2 (2002, 2004, 2007), Ikonos-2 (2008), and WorldView-1 (2008). …”
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Crack Group Effect Analysis of the Stress-Release Boot of Solid Rocket Motor Based on Numerical Simulation by Tianpeng Li, Junli Han, Yong He, Yu Guo

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Lightweight Multi-Scale Network for Segmentation of Riverbank Sand Mining Area in Satellite Images by Hongyang Zhang, Shuo Liu, Huamei Liu

“…We created a benchmark dataset to validate the accuracy and efficiency improvements of our network. …”
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Optimal Configuration Method of Sampling Points Based on Variability of Sea Surface Temperature by Chang Liu, Yuning Lei, Feng Gao, Meizhen Zhao

“…The historical sea surface temperature (SST) dataset contains the spatial variability information of SST, and this prior knowledge can be used to optimize the configuration of sampling points. …”
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Evaluating Large Language Models for Optimized Intent Translation and Contradiction Detection Using KNN in IBN by Muhammad Asif, Talha Ahmed Khan, Wang-Cheol Song

“…This research addresses these gaps by evaluating advanced Large Language Models (LLMs) such as BERT-base uncased (BERT-bu), GPT2, LLaMA3, Claude2 and small deep learning model BiLSTM with attention for translating intents and detecting contradictions. Using a curated dataset of 10,000 intent pairs, the proposed hybrid framework integrates a K-Nearest Neighbors (KNN) classifier to validate translations and recalibrate erroneous outputs. …”
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Did population differences in human pelvic form evolve by drift or selection? by Philipp Mitteroecker, Nicole DS Grunstra, Ekaterina Stansfield, Lukas Waltenberger, Barbara Fischer

“…The results from a reanalysis of a large published global dataset on human pelvic canal dimensions clearly support this view.…”
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Dé-finir le langage dans The Names de Don DeLillo by Karim Daanoune

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Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks by Jie Dong, Yueying Zhang, Yun Meng, Tingxiao Yang, Wei Ma, Huixin Wu

“…In this work, based on the fully convolutional DenseNet algorithm, a new MRI image automatic semantic segmentation method cerebral gliomas semantic segmentation network (CGSSNet) was established and was applied to glioma MRI image segmentation by using the BraTS public dataset as research data. Under the same conditions, compare the differences of dice similarity coefficient (DSC), sensitivity, and Hausdroff distance (HD) between this algorithm and other algorithms in MRI image processing. …”
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks by Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa

“…In this paper, we present the first publicly available dataset for driver distraction identification with more distraction postures than existing alternatives. …”
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Comparison of the Genetic Alterations between Primary Colorectal Cancers and Their Corresponding Patient-Derived Xenograft Tissues by Sang Mi Yu, Seung-Hyun Jung, Yeun-Jun Chung

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Impact of evaluation method shifts on student performance: an analysis of irregular improvement in passing percentages during COVID-19 at an Ecuadorian institution by Esteban  Guevara Hidalgo

“…Beyond identifying the causes of these discrepancies, the study reveals that, for the specific case and dataset analyzed, the shift to virtual education led to a significant and abrupt increase in passing percentages. …”
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Uncertainty-Aware Sensor Deployment Strategy in Mixed Wireless Sensor Networks by Yan Chang, Shukui Zhang, Yang Zhang, Jianxi Fan, Jin Wang

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