TPL-DA: A Novel Threshold-Free Pseudolabel Learning Framework for Domain Adaptive Semantic Segmentation of High-Resolution Remote Sensing Images by Yan Ren, Jie Long, Xiaowen Gao, Ming Zhang, Guoqing Liu, Nan Su

“…To address these issues, we propose a novel threshold-free pseudolabel learning framework, TPL-DA. …”
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Telemedicine data secure sharing scheme based on heterogeneous federated learning by Nansen Wang, Jianing Zhang, Ju Huang, Wei Ou, Wenbao Han, Qionglu Zhang

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Low-Rank Tensor Thresholding Ridge Regression by Kailing Guo, Tong Zhang, Xiangmin Xu, Xiaofen Xing

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Multiple-level thresholding for breast mass detection by Xiang Yu, Shui-Hua Wang, Yu-Dong Zhang

“…We then proposed a multiple-level thresholding segmentation method to segment breast mass and obtained the connected components (ConCs), where the corresponding image patch to each ConC is extracted for mass detection. …”
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Selective Intensity Ensemble Classifier (SIEC): A Triple-Threshold Strategy for Microscopic Malaria Cell Image Classification by Abdulaziz Anorboev, Sarvinoz Anorboeva, Javokhir Musaev, Esanbay Usmanov, Dosam Hwang, Yeong-Seok Seo, Jeongkyu Hong

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Why Empirical Forgetting Curves Deviate from Actual Forgetting Rates: A Distribution Model of Forgetting by Nate Kornell, Robert A. Bjork

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Direction of Arrival (DOA) Estimation Using a Deep Unfolded Learned Iterative Shrinkage Thresholding Algorithm (LISTA) Network in a Non-Uniform Metasurface by Xinyi Niu, Xiaolong Su, Lida He, Guanchao Chen

“…Additionally, a deep unfolded Learned Iterative Shrinkage Thresholding Algorithm (LISTA) network is constructed by transforming Iterative Shrinkage Thresholding Algorithm (ISTA) iterative steps into trainable neural network layers, combining model-driven logic with data-driven parameter optimization. …”
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Machine Learning-Enhanced Model-Based Optical Proximity Correction Framework With Convolutional Neural Network-Based Variable Threshold Method Near the Diffraction Limit by Jinhao Zhu, Liwan Yue, Ying Li, Xianhe Liu, Qiang Wu, Qi Wang, Yanli Li

“…This study proposes a Machine Learning (ML)-enhanced MBOPC framework that employs a convolutional neural network (CNN) to predict mask edge imaging thresholds, thereby mitigating modeling deviations caused by complex lithographic conditions in the 28 nm technology node under immersion lithography. …”
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Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van by Pinar Karakus

“…This study is a case study demonstrating the successful application of machine learning with Canny edge detection and the Otsu water surfaces thresholding method.…”
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Research on Fault Diagnosis Method of High-Speed EMU Air Compressor Based on ICEEMDAN and Wavelet Threshold Combined Noise Reduction by Liqiang Peng, Akang Guo, Shuzhao Zhang

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An efficient leakage power optimization framework based on reinforcement learning with graph neural network by Peng Cao, Yuhan Dong, Zhanhua Zhang, Wenjie Ding, Jiahao Wang

Subjects: “…Threshold voltage…”
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FEATURE SELECTION COMPARATIVE PERFORMANCE FOR UNSUPERVISED LEARNING ON CATEGORICAL DATASET by Rachmad Fitriyanto, Mohamad Ardi

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Reversible Audiometric Threshold Changes in Children with Uncomplicated Malaria by George O. Adjei, Bamenla Q. Goka, Emmanuel Kitcher, Onike P. Rodrigues, Ebenezer Badoe, Jorgen A. L. Kurtzhals

“…Malaria is the likely cause of the elevated hearing threshold levels during the acute illness, a finding that has implications for learning and development in areas of intense transmission, as well as for evaluating potential ototoxicity of new antimalarial drugs.…”
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Development and Internal Validation of a Machine Learning-Based Colorectal Cancer Risk Prediction Model by Deborah Jael Herrera, Daiane Maria Seibert, Karen Feyen, Marlon van Loo, Guido Van Hal, Wessel van de Veerdonk

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Data‐Driven Predictions of Peak Warming Under Rapid Decarbonization by Noah S. Diffenbaugh, Elizabeth A. Barnes

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Deep Learning-Based Video Anomaly Detection Using Optimised Attention-Enhanced Autoencoders by Anjali S, Don S

Subjects: “…Computer Vision; Video surveillance; Optimal threshold detection; Autoencoder; Deep learning…”
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Ensemble-based Semi-Supervised Learning for Hate Speech Detection by Safa Alsafari, Samira Sadaoui

Subjects: “…hate speech classification; semi-supervised learning; deep learning; pseudo label selection; confidence threshold…”
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Landslide Hazard Warning in Guangdong-Hong Kong-Macao Greater Bay Area Based on Historical Ranking Rainfall Threshold by JIN Yi, YU Haixia

Subjects: “…semi-supervised machine learning…”
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Metrics and extrapolation of resonant magnetic perturbation thresholds for ELM suppression by N.C. Logan, S.K. Kim, S.M. Yang, J.-K. Park, Q. Hu, N. Leuthold, C. Paz-Soldan, S. Gu, D. Weisberg, H. Wang, Y. Sun, P. Xie, G. Nina Montano, T. Wang, M.W. Kim, M. Willensdorfer, EUROfusion WPTE Team, the ASDEX Upgrade Team

“…This quantity does not exhibit clear power-law scalings for projection, but machine learning can assist in predicting thresholds within the existing parameter ranges and providing uncertainty quantification of those predictions. …”
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A Novel Skin Cancer Detection Approach Using Deep Learning Algorithm with Image Segmentation Filters by Awf A. Ramadhan, Omer S. Kareem, Diyar Q. Zeebaree

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