Performance evaluation of primary user and secondary user based on CSMA protocol in CRSN by Ying LIU, Li ZHENG, Yuansong LI

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Performance evaluation of primary user and secondary user based on CSMA protocol in CRSN by Ying LIU, Li ZHENG, Yuansong LI

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EVALUATION OF MACHINE LEARNING MODELS FOR BORON PREDICTION IN ANDISOL SOILS OF NARIÑO-COLOMBIA by David Álvarez Sánchez, Xilena López Estrella, Eduar Manso Ordoñez, Laura López Rivera, Jeison Rodriguez Valenzuela

“…To explore the application of ML tools for the prediction of Boron levels in Andisols soils of Nariño has been explored and identifying the most efficient algorithm. Methodology. A total of 1,067 soil samples collected in various fields of five municipalities in the southern subregion of the department were used, where the supervised learning models, Random Forest (RF), K-Nearest Neighbors (K-NN), Support Vector Machine (SVM) and Naive Bayes (NB) were evaluated. …”
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SAHAANN: A NOVEL EVOLUTIONARY ARTIFICIAL NEURAL NETWORK FOR IMPROVED FINANCIAL TIME SERIES FORECASTING by Abdul Khadeer, Vanaparthi Kiranmai, B. Suvarnamukhi, Ayaz Mohiuddin, Balika Mahesh, P M Suresh, J Arthy, Sasikumar A N, Sudersan Behera, Mohd Ayaz Uddin

“…We were able to see how the results of training the ANN model with different metaheuristics, such as the genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), fireworks algorithm (FWA), and chemical reaction optimization (CRO). …”
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Evaluation of the effectiveness of defense measures during radiological risk assessment in gynecological brachytherapy by C. C. Dominguez, A. Torres, R. Alfonso

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Analysis of imaging differences between high-resolution CT and digital radiography chest films in pneumoconiosis screening by Lijuan LIU, Fenghong WANG

“…HRCT enables systematic observation of the evolution and progression of pneumoconiosis, providing reliable evidence for diagnosis.ObjectiveTo provide reliable evidences for the early screening of pneumoconiosis, By analyzing the imaging difference between HRCT and DR chestfilms in pneumoconiosis screening.MethodsSix casting workers in a casting forging company suspected of early stage of pneumoconiosis through regular occupational health examination screening were recruited , and 64 rows of spiral CT thin layer were scanned and reconstructed by high-resolution bone algorithm. …”
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Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

“…Evaluation criteria of the algorithms included the hit rate, false alarm rate, $$A'$$ A ′ , and computational time. …”
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Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties by Stefan M. Kolašinac, Marko Mladenović, Ilinka Pećinar, Ivan Šoštarić, Viktor Nedović, Vladimir Miladinović, Zora P. Dajić Stevanović

“…The aim of this research is to investigate the potential of Raman and FT-IR spectroscopy as well as mathematical linear and non-linear models as a tool for the discrimination of different seed varieties of paprika, tomato, and lettuce species. …”
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The dosimetric impacts of ct-based deep learning autocontouring algorithm for prostate cancer radiotherapy planning dosimetric accuracy of DirectORGANS by Serap Çatlı Dinç, Aybala Nur Üçgül, Hüseyin Bora, Ertuğrul Şentürk

“…Abstract Purpose In study, we aimed to dosimetrically evaluate the usability of a new generation autocontouring algorithm (DirectORGANS) that automatically identifies organs and contours them directly in the computed tomography (CT) simulator before creating prostate radiotherapy plans. …”
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Do comprehensive deep learning algorithms suffer from hidden stratification? A retrospective study on pneumothorax detection in chest radiography by Luke Oakden-Rayner, Catherine M Jones, John Lambert, Jarrel Seah, Cyril Tang, Quinlan D Buchlak, Michael Robert Milne, Xavier Holt, Hassan Ahmad, Nazanin Esmaili, Peter Brotchie

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Evaluation of Microwave Radiometer Sea Ice Concentration Products over the Baltic Sea by Marko Mäkynen, Stefan Kern, Rasmus Tonboe

“…The selected SIC products represented different SIC algorithm types, e.g., climate data records and near-real-time products. …”
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Problematic Aspects of the Evaluation of the Epidemiological Effectiveness of Vaccination against Tick-BORNE Encephalitis by N. A. Penyevskaya, N. V. Rudakov, S. A. Rudakova

“…Algorithm for calculating the number of preventable cases of TBE diseases is proposed for a comparative evaluation of the effectiveness of vaccination as an anti-epidemic measure in different areas.…”
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Restrictive intraoperative fluid optimisation algorithm improves outcomes in patients undergoing pancreaticoduodenectomy: A prospective multicentre randomized controlled trial. by Laurence Weinberg, Damian Ianno, Leonid Churilov, Ian Chao, Nick Scurrah, Clive Rachbuch, Jonathan Banting, Vijaragavan Muralidharan, David Story, Rinaldo Bellomo, Chris Christophi, Mehrdad Nikfarjam

“…We aimed to evaluate perioperative outcomes in patients undergoing pancreaticoduodenectomy with or without a cardiac output goal directed therapy (GDT) algorithm. …”
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Development of a prognostic model for breast cancer patients based on intratumoral tumor-infiltrating lymphocytes using machine learning algorithms by Xinyi Wu, Chun Li

“…Results Our study constructed a pioneering prognostic model based on iTIL-centric signature via a machine learning framework that evaluated 101 algorithm combinations. This model revealed significant differences in the immune landscape among stratified patient cohorts, and demonstrated robust predictive capabilities across multiple datasets. …”
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Evaluating regional sustainable energy potential through hierarchical clustering and machine learning by Selen Avcı Azkeskin, Zerrin Aladağ

“…First, the Fuzzy C-Means (FCM) algorithm is employed to perform fuzzy clustering using three main criteria and three different distance metrics—Euclidean, Manhattan, and Minkowski—, resulting in 21 clustering scenarios. …”
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Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

“…A dataset was selected for the training of a deep learning algorithm called the Natural Numerical Network on the basis of the analysis results. …”
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Skeletal Muscle Segmentation at the Level of the Third Lumbar Vertebra (L3) in Low-Dose Computed Tomography: A Lightweight Algorithm by Xuzhi Zhao, Yi Du, Haizhen Yue

“…The differences between the proposed algorithm and the inter-observer reference were 4.7%, 1.2%, 7.9%, 3.2 mm, and 0.6 mm, respectively, for the averaged DSC, precision, recall, HD95, and ASD. …”
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Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study by Alexander Brehmer, Constantin Seibold, Jan Egger, Khalid Majjouti, Michaela Tapp-Herrenbrück, Hannah Pinnekamp, Vanessa Priester, Michael Aleithe, Uli Fischer, Bernadette Hosters, Jens Kleesiek

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Sex differences in shoulder acromiohumeral contact surface arc length on three-dimensional computed tomography imaging by Xi Chen, Tangzhao Liang, Chang Liu, Jianhua Ren, Shouwen Su, Xiangyu Long, Xiaopeng Yin, Yanbin Chen, Shihai Jiang, Kun Wang

“…Abstract Anatomy-based guidelines for shoulder surgery have established the routine preoperative evaluation of the humeral head. Despite recognized sex differences in humeral head size, there has been limited investigation into sex-specific variations in acromiohumeral contact surface (AHCS) arc length. …”
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Evaluation of Withering Quality of Black Tea Based on Multi-Information Fusion Strategy by Ting An, Yongwen Jiang, Hanting Zou, Xuan Xuan, Jian Zhang, Haibo Yuan

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