A Planar-Dimensions Machine Vision Measurement Method Based on Lens Distortion Correction by Qiucheng Sun, Yueqian Hou, Qingchang Tan, Guannan Li

“…The method can be divided into three steps: firstly, the feature points, only in the small central region of the image, are used to get a more accurate perspective projection model; secondly, rather than defining a uniform model, the smoothing spline function is used to describe the lens distortion in the measurement region of image, and two correction functions can be obtained by fitting two deviation surfaces; finally, a measurement method for planar dimensions is proposed, in which accurate magnification factor of imaging system can be obtained by using the correction functions. …”
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Control of tool wear during turning of parts of construction and road machines in conditions of repair production by Ovsyannikov V.E., Vasiliev V.I.

“…Studies were performed at different wear values of the cutting tool (estimated by the width of the wear chamfer).Neuro-fuzzy model of estimation of cutting tool operation resource is developed. …”
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Loop-invariant Optimization in the Pifagor Language by Vladimir S. Vasilev, Alexander I. Legalov

“…The paper considers methods of program transformation equivalent to optimizing the cycle invariant, applied to the functional data-flow model implemented in the Pifagor programming language. …”
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Dynamic tracking of objects in the macaque dorsomedial frontal cortex by Rishi Rajalingham, Hansem Sohn, Mehrdad Jazayeri

“…Abstract A central tenet of cognitive neuroscience is that humans build an internal model of the external world and use mental simulation of the model to perform physical inferences. …”
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Alzheimer’s Detection through 3D Convolutional Neural Networks by Ryan Hogan, Christoforos Christoforou

“…The advancement of deep learning within biomedical imaging, particularly in MRI scans, has proven to be an efficient resource for abnormality detection while utilizing convolutional neural networks (CNN) to perform feature mapping within multilayer perceptrons. …”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…Our results demonstrate that QProteoML performs better than classical models, particularly in identifying the drug resistant minority class of patients. …”
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MSP U-Net: Crack Segmentation for Low-Resolution Images Based on Multi-Scale Parallel Attention U-Net by Joon-Hyeok Kim, Ju-Hyeon Noh, Jun-Young Jang, Hee-Deok Yang

“…Nonetheless, the existing crack detection models focus on multi-scale feature loss and performance degradation in learning various types of cracks. …”
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Study of Detection of Typical Pesticides in Paddy Water Based on Dielectric Properties by Shuanggen Huang, Mei Yang, Junshi Huang, Longwei Shang, Qi Chen, Fang Peng, Muhua Liu, Yan Wu, Jinhui Zhao

“…The ANN content prediction model established using phase frequency response data performs well, and the highest R² prediction values of chlorpyrifos, isoprothiolane, imidacloprid and carbendazim in paddy water were 0.8249, 0.8639, 0.9113 and 0.8368 respectively. …”
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Deciphering cholangiocarcinoma heterogeneity and specific progenitor cell niche of extrahepatic cholangiocarcinoma at single-cell resolution by Chunliang Liu, Xiang Wang, Erdong Liu, Yali Zong, Wenlong Yu, Youhai Jiang, Jianan Chen, Mingye Gu, Zhengyuan Meng, Jingfeng Li, Yang Liu, Yongjie Zhang, Jing Tang, Hongyang Wang, Jing Fu

“…This subtyping was validated using external CCA cohorts and PDO models, distinguishing patients based on clinical outcomes and drug vulnerabilities. …”
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A k-nearest text similarity-BiGRU approach for duration prediction of traffic accidents on expressways by Jiaona Chen, Jin Zhang, Peng Wang, Yinli Jin

“…In general, the MAPE is much better than that of regression prediction models employed in previous studies. This work validates the feasibility of text-driven feature engineering for predicting the duration of traffic accidents, and provides a robust tool for traffic management systems.…”
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Machine learning-assisted rational design and evolution of novel signal peptides in Yarrowia lipolytica by Zizhao Wu, Wenhao Chen, Yuxiang Hong, Yongkai Wang, Peng Xu

“…Additionally, based on our screening, we also evaluated the performance of different feature engineering strategies and machine learning models in the design and prediction of SP mutants. …”
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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

“…However, we also used Recurrent Neural Networks (RNNs) combined with SMOTE and GS (RNN-SMOTE-GS), which emerged as the best-performing with a precision of 97%, demonstrating the effectiveness of combining SMOTE and GS and highlighting the critical role of advanced optimization techniques in enhancing the detection capabilities of IDS models for the accurate classification of various types of network traffic and attacks.…”
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Designing, prototyping, and evaluating an assistive device for lower limb muscle stretching: With the participatory approach by Ali Akbar Asil, Ali E Oskouei, Neda Gilani, Melika Khabbazi, Jalil Nazari

“…These techniques are primarily performed manually by physical and occupational therapists. …”
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Forced Convection Heat Transfer in V-Pattern Folded Core Sandwich Structures by Sifeng Li, Zhijin Wang, Chen Zhou

“…Afterwards, approximate models are established based on design to optimize the heat dissipation efficiency. …”
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Pemetaan Daerah Rawan Longsor di Kabupaten Bandung Barat menggunakan Metode Machine Learning dengan Teknik SVM by Afif Faadhilah, Hary Nugroho

“…The model performed well and did not overfit, as it had a training accuracy of 79%, nearly equal to the validation accuracy of 76%. …”
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Weather patterns forecast the severity of cervical spinal cord injuries by Robert J. Quon, Josh Feler, Ziqi Wang, Owen P. Leary, Anarina Murillo, Jared S. Fridley

“…Linear mixed-effects models explored associations between CSCI features and weather patterns, with random effects for hospitals. …”
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A Scalable Digital Light Processing 3D Printing Method by Junjie Huang, Jiangkun Cai, Chenhao Huangfu, Shikai Li, Guoqiang Chen, Hao Yun, Junfeng Xiao

“…This study verified that the SDPM can build models with features demonstrating high local shape accuracy.…”
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Chemerin and Polycystic Ovary Syndrome: A Comprehensive Review of Its Role as a Biomarker and Therapeutic Target by Stefano Palomba, Giuseppe Seminara, Flavia Costanzi, Donatella Caserta, Antonio Aversa

“…<b>Methods:</b> A search in the literature of studies published between 2019 and 2024 was conducted using PubMed, Cochrane Library, and Web of Science, focusing on research related to chemerin, PCOS, and PCOS-related features, comorbidities, and complications. A qualitative structured synthesis of key findings was performed according to the specific thematic areas selected, including and discussing clinical data on women with PCOS and experimental studies in humans and animal models of PCOS. …”
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A One-Dimensional Depthwise Separable Convolutional Neural Network for Bearing Fault Diagnosis Implemented on FPGA by Yu-Pei Liang, Hao Chen, Ching-Che Chung

“…Additionally, the DoReFa-Net quantization method is applied to compress network parameters and activation function outputs, thereby minimizing memory usage. The quantized DSC model requires approximately 22 KB of storage and performs 1,203,128 floating-point operations in total. …”
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Role of Aging in Ulcerative Colitis Pathogenesis: A Focus on ETS1 as a Promising Biomarker by Ni M, Peng W, Wang X, Li J

“…A series of machine learning algorithms was used to screen two feature genes (ETS1 and IL7R) to establish the diagnostic model, which exhibited satisfactory diagnostic efficiency. …”
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