Modeling and Implementing Two-Stage AdaBoost for Real-Time Vehicle License Plate Detection by Moon Kyou Song, Md. Mostafa Kamal Sarker

“…The AdaBoost algorithm is used to classify parts of an image within a search window by a trained strong classifier as either LP or non-LP. Adaptive thresholding is used for the image preprocessing method applied to those images that are of insufficient quality for LPD. …”
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MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multiscale Dilated Convolution for Image Compressive Sensing (CS) by Youhao Yu, Richard M. Dansereau

“…We achieve this by mapping one step of the iterative shrinkage thresholding algorithm (ISTA) to a deep network block, representing one iteration of ISTA. …”
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Psychological Stress among Dental Students in Lucknow by Anuj Mishra, Nazish Khan, Abhishek Sinha, Sunita Srivastava, Kavleen K. Sethi, Varanasi Haripriya

“…Dental schools are believed to be tough and stressful learning environments. Students consequently have very little time to rest. …”
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Back to (the Future) School. Reshaping the Relationship Between Mobility and Schools by Fabrizia Cannella, Samuel Fattorelli, Maria Chiara Tosi, Valentina Rossella Zucca

“…The participatory pathway involves the school community in developing actions and interventions that promote active mobility on home-school routes and a rethinking of the street, threshold and proximity spaces of four inland Venetian elementary schools. …”
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Internet Financial Risk Monitoring and Evaluation Based on GABP Algorithm by Yaqin Guang, Shunyong Li, Quanping Li

“…Thirdly, the weight and threshold of the BP algorithm are optimized by using the GA, and the GABP model is established. …”
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STATE PREDICTION OF WIND TURBINE GENERATOR BASED ON K-CNN AND N-GRU (MT) by CHAI Tong, YUAN YiPing, MA JunYan, FAN PanPan

“…In order to detect abnormal wind turbine generator and reduce the occurrence of outages, a deep learning framework combining K-CNN and N-GRU is proposed based on multi-dimensional sensor parameters recorded in real wind farm SCADA system, and a wind turbine generator state prediction model is established. …”
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Association between the lactate dehydrogenase-to-albumin ratio and 28-day mortality in septic patients with malignancies: analysis of the MIMIC-IV database by Yongshi Shen, Kangni Lin, Liuxin Yang, Peng Zheng, Wei Zhang, Jinsen Weng, Yong Ye

“…Multivariable logistic regression, restricted cubic spline (RCS) analysis, and machine learning models were employed to assess associations between LDAR and outcomes. …”
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A data-driven state identification method for intelligent control of the joint station export system by Guangli Xu, Yifu Wang, Zhihao Zhou, Yifeng Lu, Liangxue Cai

“…Based on the PSO-GWO-BP pressure drop prediction model, the determination method of state identification threshold is established, and a state identification method based on dynamic threshold is proposed, which realizes the intelligent identification of the system operation state by automatically adjusting the threshold. …”
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The effect of language typology on the students’ writing skills: A case of the undergraduate students of Arabic language and literature at Arak University by Tahereh Khanabadi, Isa Motaghizadeh, Hayat Ameri, hadi nazarimonazam

“…Introduction Research suggests that most students learning Arabic in Iran face difficulties in applying Arabic writing skills. …”
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Automated Microfluidic Platform for High‐Throughput Biosensor Development by Shitanshu Devrani, Daniel Tietze, Alesia A. Tietze

“…Automated testing achieves a significantly higher F‐stat value than the critical threshold, while unsupervised clustering reveals optimal nanopores pore size. …”
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Long short-term memory autoencoder based network of financial indices by Kamrul Hasan Tuhin, Ashadun Nobi, Mahmudul Hasan Rakib, Jae Woo Lee

“…We create directional threshold networks by applying a fixed threshold, calculated as the sum of the mean and standard deviation of matrices from various years. …”
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Optimal Management of Rechargeable Biosensors in Temperature-Sensitive Environments by Yahya Osais, F. Richard Yu, Marc St-Hilaire

“…In order to handle large-size MDP models, it is shown how operating policies can be obtained using Q -learning and heuristics. Numerical and simulation results demonstrating the performance of the different policies are presented.…”
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Structure Optimization in Deep Neural Networks with Synaptic Pruning Based on Connection Appraisal by Aghil Ahmadi, Reza Mahboobi Esfanjani

“…Connections are not removed immediately; only those consistently falling below a predefined threshold are pruned, ensuring stability and robustness. …”
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EFR-Net: Enhanced Fracture Prediction in Osteoporosis with U-Net-Based Analysis by EDWARD Naveen V, Mr, Jenefa A, Vidhya K, T.M. Thiyagu

“…Conventional imaging techniques, governed by the formula where accuracy is,  is image thresholding, and  is scan resolution), often yield a detection accuracy of merely 75%. …”
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Probing astrophysical GeV neutrino emissions with Ice-Cube and KM3NeT by Mauro Jonathan, de Wasseige Gwenhaël

“…Although both are optimised for detecting TeV to PeV neutrinos, recent advancements in analysis techniques have lowered the energy threshold and increased sensitivity to astrophysical GeV neutrinos. …”
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Research status and prospects of psycho-vaccine by DAI Qin, DAI Zongpei

“… ‍Psycho-vaccine refers to a small dose of stress that can enhance psychological immunity, and it may be a life-event, experience, training, learning, etc., that enters the human brain and self processes, enhancing the cognitive function of the brain, with the characteristics of irritability, accumulation, and covertness, and so on. …”
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Motivation and Engagement in Extensive Reading: Insights from EFL Learners at a Science University by Akihiro Saito

“…Group comparisons based on a 100,000-word reading threshold suggest that higher engagement correlates with greater gains in proficiency. …”
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Predicting Radiation Esophagitis in Patients Undergoing Synchronous Boost Radiotherapy Post-Breast-Conserving Surgery by Huai-wen Zhang, Yi-ren Wang, Jingao Li, Wei Huang, Bin Xu, Hao-wen Pang, Chun-ling Jiang

“…Models based on interpretable machine learning offer an intuitive tool to assess risk of radiation esophagitis in breast-cancer radiotherapy.…”
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Image Segmentation Techniques for Intelligent Monitoring of Putonghua Examinations by Hui Liu

“…Among them, they can be broadly classified as region-based segmentation methods, threshold-based segmentation methods, edge-based segmentation methods, specific theory-based segmentation methods, and deep learning-based segmentation methods. …”
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WisdomModel: convert data into wisdom by Israa Mahmood, Hasanen Abdullah

“…If an instance is close to a rule in the knowledge base by a certain threshold, then this instance is considered misclassified. …”
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