Analisis Perbandingan Algoritma SVM, KNN, dan CNN untuk Klasifikasi Citra Cuaca by Mohammad Farid Naufal

“…KNN and SVM are Machine Learning classification algorithms, while CNN is a Deep Neural Networks classification algorithm. …”
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Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning by Haoyu Wang, Qian Wang, Xiuyuan Zhang, Shihong Du, Lubin Bai, Shuping Xiong

“…Accordingly, this study proposes a novel deep learning unmixing algorithm, Normalized Non-negative Multi-objective Residual T-ConvLSTM (NNMRT) model, with strong encoding and recognition capacities for extracting GAULCF. …”
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The method of preliminary localization of source of excessive air pollution to increase effectiveness of environmental monitoring and supervision in Russia by L. O. Shtripling, V. V. Bazhenov, Yu. V. Kalinin, N. S. Bazhenova, V. V. Merkulov

“…The paper presents an algorithm for the preliminary assessment of the location of pollution sources, emissions of which could lead to an excess of permissible concentrations in the air. …”
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Nonlinear Structural Fusion for Multiplex Network by Nianwen Ning, Feiyu Long, Chunchun Wang, Youjie Zhang, Yilin Yang, Bin Wu

“…Then, we construct a node similarity network based on embedding matrices and K-D tree algorithm. (2) In NSF, we present a nonlinear enhanced iterative fusion (EIF) strategy. …”
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Variants of the Sliding Mode Control in Presence of External Disturbance for Quadrotor by Irfan Ahmad, Muwaida Liaquat, Fahad Mumtaz Malik, Hameed Ullah, Usman Ali

“…Secondly, kinodynamic Rapidly Exploring Random Tree with Fixed Node (RRT*FN) which is an incremental sampling-based optimal algorithm has been implemented for online navigation and flight control of the quadrotor system. …”
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Causal Inference for Hypertension Prediction With Wearable E lectrocardiogram and P hotoplethysmogram Signa... by Ke Gon g, Yifan Chen, Xinyue Song, Zhizhong Fu, Xiaorong Ding

“…Finally, we used these features to detect hypertension via machine learning algorithms. Results We validated the proposed method on 405 subjects. …”
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Machine learning-based prognostic model for patients with anaplastic thyroid carcinoma by Yihan Sun, Da Lin, Xiangyang Deng, Yinlong Zhang

“…This study aimed to develop and validate a prognostic model for predicting survival outcomes for ATC patients using random survival forests (RSF), a machine learning algorithm. Methods A total of 1222 ATC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into a training set of 855 patients and a validation set of 367 patients. …”
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A Line of Sight/Non Line of Sight Recognition Method Based on the Dynamic Multi-Level Optimization of Comprehensive Features by Ziyao Ma, Zhongliang Deng, Zidu Tian, Yingjian Zhang, Jizhou Wang, Jilong Guo

“…In addition, this paper proposes an improved sand cat search algorithm for network parameter search, which improves search efficiency and search accuracy. …”
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Edge-Preserving Probabilistic Downsampling for Reliable Medical Segmentation in Resource-Constrained Environments by Shahzad Ali, Yu Rim Lee, Soo Young Park, Won Young Tak, Soon Ki Jung

“…Beyond preserving edge details more effectively than conventional nearest-neighbor downsampling, the proposed algorithm, when adapted for images, exhibits notable performance improvements over conventional bilinear interpolation. …”
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Enhancing climate resilience: A data-driven north rift weather prediction system for real-time forecasting and agricultural decision support by John W. Makokha, Peter W. Barasa, Geoffrey W. Khamala

“…This study presents the development and integration of predictive models for the Normalized Difference Vegetation Index (NDVI) and Bare Soil Index (BSI) using the XGBoost algorithm within the North Rift Weather Prediction System (NRWPS) to enhance ecosystem monitoring in Kenya's North Rift region. …”
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Assessing the impact of climate and land use change on flood vulnerability: a machine learning approach in coastal region of Tamil Nadu, India by Devanantham Abijith, Subbarayan Saravanan, K S S Parthasarathy, Nagireddy Masthan Reddy, Janardhanam Niraimathi, Ahmed Ali Bindajam, Javed Mallick, Maged Muteb Alharbi, Hazem Ghassan Abdo

“…To identify flooded areas, the study utilised Google Earth Engine (GEE), Sentinel-1 data, and 12 geospatial datasets from multiple sources. A random forest algorithm was used for LULC change and flood susceptibility mapping. …”
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Analyzing the impact of non-Newtonian nanofluid flow on pollutant discharge concentration in wastewater management using an artificial computing approach by Sidra Jubair, Jie Yang, Bilal Ali, Bandar Bin-Mohsin, Hamiden Abd El-Wahed Khalifa

“…These equations (ODEs) are solved using the Levenberg Marquardt back-propagation optimization algorithm (LMBOA) of the artificial neural network (ANN). …”
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Approximation-Aware Training for Efficient Neural Network Inference on MRAM Based CiM Architecture by Hemkant Nehete, Sandeep Soni, Tharun Kumar Reddy Bollu, Balasubramanian Raman, Brajesh Kumar Kaushik

“…This architecture includes a mapping algorithm that modulates inputs and map AFC to crossbar arrays directly, eliminating the need to predict approximated weights for evaluating output. …”
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Functional compensators in machine drives by P. D. Balakin, V. N. Belkov, O. S. Dyundik, I. P. Zgonnik

“…The means of adaptation is an additional motion of links to the main one, implemented in particular by functional compensators. An algorithm for the synthesis of a compensator is given on the example of the basic scheme of a friction planetary gearbox.…”
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Eliminating Postoperative Nausea and Vomiting in Outpatient Surgery with Multimodal Strategies including Low Doses of Nonsedating, Off-Patent Antiemetics: Is “Zero Tolerance“ Achie... by Susan J. Skledar, Brian A. Williams, Manuel C. Vallejo, Patricia L. Dalby, Jonathan H. Waters, Ronald Glick, Michael L. Kentor

“…We now propose a “zero-tolerance” antiemetic algorithm for outpatients that involves routine prophylaxis by first avoiding volatile agents and opioids to the extent possible, using locoregional anesthesia, multimodal analgesia, and low doses of three nonsedating off-patent antiemetics. …”
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Development of Genomic SSR Markers for Assessing Genetic Diversity in Korean Native <i>Fallopia multiflora</i> by Raveendar Sebastin, Ki Hyun Kim, Hye Ran Shin, Jin-Tae Jeong, Ju-Kyung Yu, Yoon-Sup So, Jong-Wook Chung

“…Clustering analysis using an unweighted pair group mean algorithm (UPGMA) with all 70 SSR markers revealed three clusters among the <i>F. multiflora</i> accessions. …”
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A Reliable Generative Adversarial Network Approach for Climate Downscaling and Weather Generation by Neelesh Rampal, Peter B. Gibson, Steven Sherwood, Gab Abramowitz, Sanaa Hobeichi

“…The cGAN generates plausible residuals on top of the predictable expectation state produced by a deterministic deep learning algorithm. The skill of cGANs is highly sensitive to a hyperparameter known as the weight of the adversarial loss (λadv), where the value of λadv required for accurate results varies with season and performance metric, casting doubt on the reliability of cGANs as usually implemented. …”
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Gender-specific antibiotic-resistance patterns and characterization of bacterial flora of undergraduate students’ mobile phones and associated factors at a Nigerian university by Morufat Oluwatosin Olaitan, Akeem Ganiyu Rabiu, Zara Babagana Umara

“…Bacterial isolates (n = 6/21) that resisted antibiotics belonging to ≥ 3 different classes regarded as multidrug resistant (MDR) were subjected to 16 S rRNA sequencing and identified using the Basic Local Alignment Search Tool (BLAST) algorithm. Results The total bacterial count of male (11.1 × 106 ± 4.0) CFU/mL and female (11.7 × 106 ± 6.4) CFU/mL were high though comparable. …”
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Cohort profile: Health in Central Denmark (HICD) cohort - a register-based questionnaire survey on diabetes and related complications in the Central Denmark Region by Annelli Sandbæk, Else-Marie Dalsgaard, Kasper Norman, Lasse Bjerg, Anders Aasted Isaksen

“…Using register data and a prespecified diabetes classification algorithm, we identified 45 507 persons aged 18–75 years with prevalent diabetes on 31 December 2018 and a group without diabetes of equal size matched by sex, age and municipality. …”
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Spatiotemporal Evolution Characteristics of Fluid Flow through Large-Scale 3D Rock Mass Containing Filling Joints: An Experimental and Numerical Study by Qian Yin, Hongwen Jing, Tantan Zhu, Lizhou Wu, Haijian Su, Liyuan Yu

“…By using the genetic algorithm, the coupling influences of these factors on the pore water pressure and flow velocity were investigated, and the decision parameters were optimized. …”
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