Video Denoising Based on a Spatiotemporal Kalman-Bilateral Mixture Model by Chenglin Zuo, Yu Liu, Xin Tan, Wei Wang, Maojun Zhang

“…Experimental results show that the performance of our proposed method is competitive when compared with state-of-the-art video denoising algorithms based on both peak signal-to-noise-ratio and structural similarity evaluations.…”
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A Simulation Model for Machine Efficiency Improvement Using Reliability Centered Maintenance: Case Study of Semiconductor Factory by Srisawat Supsomboon, Kanthapong Hongthanapach

“…The simulation optimization approach based on evolutionary algorithms was employed for the preventive maintenance technique selection process to select the PM interval that gave the best total cost and Lead PPM values. …”
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A Novel Approach to Word Sense Disambiguation Based on Topical and Semantic Association by Xin Wang, Wanli Zuo, Ying Wang

“…Although WSD has been researched over the years, the performance of existing algorithms in terms of accuracy and recall is still unsatisfactory. …”
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Antiretroviral Therapy for HIV-2 Infection: Recommendations for Management in Low-Resource Settings by Kevin Peterson, Sabelle Jallow, Sarah L. Rowland-Jones, Thushan I. de Silva

“…It complicates HIV diagnosis, requiring more expensive and technically demanding testing algorithms. Natural polymorphisms and patterns in the development of resistance to antiretrovirals are reviewed, along with their implications for antiretroviral therapy. …”
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Comparative evaluation between Java application using JNI and native C/C++ application running on an Android platform. by Alison de Oliveira Venâncio, Thales Ruano Barros de Souza, Bruno Raphael Cardoso Dias

“…This article evaluated the performance difference between Java applications using JNI with the NDK and native C/C++ applications, focusing on algorithms widely used in various areas such as automation, networking, telecom, cybersecurity, etc. …”
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Development of the Shaking Table and Array System Technology in China by Chun-hua Gao, Xiao-bo Yuan

“…Research, conclusion, comparison, and analysis concerning the developmental history, constructional situation, performance index, control algorithm, and experimental technique of the internal shaking table were reviewed and compared. …”
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Adaptive temporal-difference learning via deep neural network function approximation: a non-asymptotic analysis by Guoyong Wang, Tiange Fu, Ruijuan Zheng, Xuhui Zhao, Junlong Zhu, Mingchuan Zhang

“…Nonetheless, the rate of convergence for current neural temporal-difference (TD) learning algorithms is constrained, largely due to their high sensitivity to stepsize choices. …”
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Adaptive enhancement of shoulder x-ray images using tissue attenuation and type-II fuzzy sets. by Qifeng Liu, Yong Han, Lu Shen, Jialei Du, Marzia Hoque Tania

“…Additionally, we apply an improved Type-II fuzzy set algorithm to further optimize image sharpness. By simultaneously enhancing contrast and sharpness, the method significantly improves image quality and detail distinguishability. …”
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IoT SOLUTION FOR LEVEL MEASUREMENT IN THE OIL AND GAS INDUSTRY by Constantin Octavian Bercea

“…The intelligent modules of the system process, based on software algorithms, the data from the sensors and communicate them to other microprocessor subsystems for conversions, storage and presentation of the results. …”
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Document Verification System Using Image Processing: A Case Study of Kabale Municipality. by Ojara, Walter

“…The system is developed using state-of-the-art image processing algorithms, such as Optical Character Recognition (OCR), to extract text from scanned documents. …”
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Design and Prototype of a Solar Array Malfunction Identification System. by Wabuyi, Richard

“…SAMIS integrates cutting-edge monitoring technologies and data analysis algorithms to detect, diagnose, and report issues within solar arrays. …”
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Design and Prototype of a Local Relay Fault Detection System for Three Phase Power Lines. by Lutaama, Samuel

“…The methodology covers system architecture, fault detection algorithms, and the prototype development process, which integrates sensors and a user interface for monitoring. …”
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Ekyeyo Mobile Application by Nkuba, Blair, Kansiime, Daniel

“…The app incorporates advanced search algorithms, tailored job recommendations, and streamlined candidate screening to improve job-matching accuracy. …”
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Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision by Lucas Waltz, Sushma Katari, Chaeun Hong, Adit Anup, Julian Colbert, Anirudh Potlapally, Taylor Dill, Canaan Porter, John Engle, John Engle, Christopher Stewart, Hari Subramoni, Scott Shearer, Raghu Machiraju, Osler Ortez, Laura Lindsey, Arnab Nandi, Sami Khanal

“…IntroductionAdvancements in machine learning (ML) algorithms that make predictions from data without being explicitly programmed and the increased computational speeds of graphics processing units (GPUs) over the last decade have led to remarkable progress in the capabilities of ML. …”
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Rapid literature mapping on the recent use of machine learning for wildlife imagery by Nakagawa, Shinichi, Lagisz, Malgorzata, Francis, Roxane, Tam, Jessica, Li, Xun, Elphinstone, Andrew, Jordan, Neil R., O'Brien, Justine K., Pitcher, Benjamin J., Van Sluys, Monique, Sowmya, Arcot, Kingsford, Richard T.

“…Machine (especially deep) learning algorithms are changing the way wildlife imagery is processed. …”
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HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties by Qikai Niu, Jing’ai Wang, Hongtao Li, Lin Tong, Haiyu Xu, Weina Zhang, Ziling Zeng, Sihong Liu, Wenjing Zong, Siqi Zhang, Siwei Tian, Huamin Zhang, Bing Li

“…Compared to previous machine learning algorithms, the HPGCN obtained optimal classification prediction results for ACC, Recall, Precision, F1, and AUC indicators by 5-fold cross-validation on the training and test sets. …”
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RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease by Manuel Lentzen, Srinivasan Vairavan, Marijn Muurling, Vasilis Alepopoulos, Alankar Atreya, Merce Boada, Casper de Boer, Pauline Conde, Jelena Curcic, Giovanni Frisoni, Samantha Galluzzi, Martha Therese Gjestsen, Mara Gkioka, Margarita Grammatikopoulou, Lucrezia Hausner, Chris Hinds, Ioulietta Lazarou, Alexandre de Mendonça, Spiros Nikolopoulos, Dorota Religa, Gaetano Scebba, Pieter Jelle Visser, Gayle Wittenberg, Vaibhav A. Narayan, Neva Coello, Anna-Katharine Brem, Dag Aarsland, Holger Fröhlich, on behalf of RADAR-AD

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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…The research used Artificial Neural Network algorithms with a combination of Adam and Nesterov Momentum optimization method. …”
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An Arctic sea ice concentration data record on a 6.25 km polar stereographic grid from 3 years of Landsat-8 imagery by H.-S. Jung, S.-M. Lee, S.-M. Lee, J.-H. Kim, K. Lee

“…However, the fundamental basis of algorithms for estimating SIC has not improved much since the early days due to the lack of reference SIC data, leading to discrepancies between existing PMW SIC algorithms. …”
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Development and Validation of a Cost-Effective Machine Learning Model for Screening Potential Rheumatoid Arthritis in Primary Healthcare Clinics by Wu W, Hu X, Yan L, Li Z, Li B, Chen X, Lin Z, Zeng H, Li C, Mo Y, Wu Y, Wang Q

“…Using 10 classical machine learning algorithms, we developed screening models. Evaluation metrics determined the best model. …”
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