Determinação da cobertura do solo por análise de imagens e redes neurais Soil cover determination using image analysis and neural networks by Carlos A. A. Varella, Francisco de A. de C. Pinto, Daniel M. de Queiroz, Darly G. de Sena Júnior

“…This result shows that ANN may be applied for separating features when the pixel brightness does not provide enough information to apply the threshold technique.…”
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Impact of surrogate model accuracy on performance and model management strategy in surrogate-assisted evolutionary algorithms by Yuki Hanawa, Tomohiro Harada, Yukiya Miura

“…To reduce this cost, SAEAs employ surrogate models—machine learning models that approximate expensive evaluation functions. …”
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Indonesian lexical bundles in research articles: Frequency, structure, and function by Adi Budiwiyanto, Totok Suhardijanto

“…From the pedagogical point of view, the findings can be used as learning material for both native and non-native speakers.…”
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…From the above analysis, the energy index and the singular value matrix are used for fault classification modeling based on the enhanced extreme learning machine (ELM), which is optimized by the bat algorithm to adjust the input weights and threshold of hidden layer node. …”
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Mine Microseismic Signal Denoising Based on a Deep Convolutional Autoencoder by Ting Hu, Bin Xu, Yongfa Wang, Jiayi Zhu, Jiang Zhou, Zhongyi Wan

“…The constructed framework automatically learns rich features from synthetic data to separate the effective and noise signals, thereby achieving the purpose of fast and automatic denoising. …”
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Prediction acrylamide contents in fried dough twist based on the application of artificial neural network by Xinyu Wu, Haiyang Yan, Yue Cao, Yuan Yuan

“…The results showed that the Levenberg-Marquardt back-propagation training algorithm of the BP-ANN model with 5 hidden layer neurons and 0.005 learning rate was the best predictive performance, which the correlation coefficients (R) of test and validation were 0.9640 and 0.8999, suggesting a good fitting and strong approximation ability. …”
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Research on the Optimization of the Electrode Structure and Signal Processing Method of the Field Mill Type Electric Field Sensor by Wei Zhao, Zhizhong Li, Haitao Zhang

“…An improved harmonic detection method combining fast Fourier transform and back propagation neural network (FFT-BP) was proposed, the learning rate, momentum factor, and excitation function jointly participated in the adjustment of the network, and the iterative search range of the algorithm was limited by the threshold interval, further improving the accuracy and rapidity of the sensor measurement. …”
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Illuminant estimation method based on Color Lines and dichroic reflection model by Soshun Muto, Mashiho Mukaida, Noriaki Suetake

“…Various methods for illuminant estimation have been proposed, including hypothesis based approaches, deep learning methods, and methods based on the dichroic reflection model. …”
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Hybrid YOLOv8 and Fast R-CNN for Accurate Schematic Detection in Power Distribution Networks by Aviv Yuniar Rahman, Zuhaina Zakaria

“…Conventional edge detection methods often struggle with the complexity and scale of modern PDNs, while standalone deep learning approaches face challenges in balancing real-time performance and high precision. …”
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An EMG-Based GRU Model for Estimating Foot Pressure to Support Active Ankle Orthosis Development by Praveen Nuwantha Gunaratne, Hiroki Tamura

“…Active ankle–foot orthoses (AAFO) offer targeted support during walking; however, most existing systems rely on rule-based or threshold-based control, which are often limited to sagittal plane movements and lacking adaptability to subject-specific gait variations. …”
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Adrenocortical carcinoma classified as benign: the limitations of washout values by P S Yap, S Philip, A J Graveling, D McAteer, S Aspinall, P Abraham

“…Adrenal incidentaloma are less common in younger patients, but are more likely to be clinically significant and/or malignant, so clinicians should have a lower threshold for surgery or interval imaging in indeterminate cases.…”
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A method for English paragraph grammar correction based on differential fusion of syntactic features. by Weiling Liu, Caijun Zhao, Yongyi Li, Chenglong Cai, Hong Liu, Ruilin Qiu, Ruoci Su, Bingbing Li

“…The new progress of deep learning and natural language processing technology has strongly promoted the development of English grammar error correction. …”
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Clinical predictors of outcome after pharyngeal electrical stimulation (PES) in non-stroke related neurogenic dysphagia after mechanical ventilation and tracheotomy: results from s... by Ivy Cheng, Philip M. Bath, Shaheen Hamdy, Paul Muhle, Satish Mistry, Rainer Dziewas, Sonja Suntrup-Krüger

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Loosening rocks detection at Draa Sfar deep underground mine in Morocco using infrared thermal imaging and image segmentation models by Kaoutar Clero, Said Ed-Diny, Mohammed Achalhi, Mouhamed Cherkaoui, Imad El Harraki, Sanaa El Fkihi, Intissar Benzakour, Tarik Soror, Said Rziki, Hamd Ait Abdelali, Hicham Tagemouati, François Bourzeix

“…Two segmentation methods were applied to locate the potential unstable areas: the classical thresholding and the K-means clustering model. The results show that while thresholding allows a binary distinction between stable and unstable areas, K-means clustering is more accurate, especially when using multiple clusters to show different risk levels. …”
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Assessment of Seismic Hazard Potential for a Geothermal Field: A Case Study in West Texas by Victor Salles, Guo-Chin Dino Huang, Katerine Vallejo, Peter Eichhubl, Shuvajit Bhattacharya, Alexandros Savvaidis

“…Application of the machine-learning (ML)-based EarthQuake Compact Convolutional Transformer (EQCCT) algorithm to seismic data from 2008 to 2011 resulted in the detection of 645 seismic events in the area, lowering the magnitude detection threshold compared to public catalogs (e.g., U.S. …”
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Evidence from NHANES 2011–2014: a correlation between the weight-adjusted-waist index and cognitive abilities in the United States by Chan Zhao, Xintian Xu, Chunyan Hao

“…We implemented threshold effects analysis and smoothed curve fitting to elucidate the nonlinear relationship. …”
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Automatic Detection and Unsupervised Clustering-Based Classification of Cetacean Vocal Signals by Yinian Liang, Yan Wang, Fangjiong Chen, Hua Yu, Fei Ji, Yankun Chen

“…This paper overcomes the limitations of the traditional threshold-based method, and the threshold is set adaptively according to the mean value of the signal energy in each frame. …”
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Development and validation of a probability-assessment nomogram for non-suicidal self-injury in hospitalized adolescents and young adults with mental disorders by Qi Liu, Yanjuan Ren, Yalin Huang, Ruyi Xie, Yinyuan Li, Zaiquan Dong, Xiaoxia Zhang

“…Age, history of suicide attempts, gender, and psychiatric diagnosis were identified as key detectors through Boruta and LASSO machine learning algorithms, leading to the construction of a nomogram. …”
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A Comprehensive Review of Remaining Useful Life Estimation Approaches for Rotating Machinery by Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, Giansalvo Cirrincione, Vincenzo Franzitta, Rahul Ranjeev Kumar

“…Additionally, the review delves into the application of advanced methods such as transfer learning and physics-informed neural networks for RUL estimation. …”
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Enhancing Drone Navigation and Control: Gesture-Based Piloting, Obstacle Avoidance, and 3D Trajectory Mapping by Ben Taylor, Mathew Allen, Preston Henson, Xu Gao, Haroon Malik, Pingping Zhu

“…The system utilizes Google’s MediaPipe Hands software library, which employs machine learning to track 21 key landmarks of the user’s hand, enabling gesture-based control of the drone. …”
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