Sistem Pakar Penentuan Penggunaan Bahan Tambahan Pangan untuk Produk Pangan by Melva Linda Aritonang, Kudang Boro Seminar, Nugraha Edhi Suyatma, Irman Hermadi

“…The method used is a decision tree with C5.0 algorithm to classify types of food categories with parameters in the form of basic ingredients and ways of processing food products. …”
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Using OCO-2 Observations to Constrain Regional CO₂ Fluxes Estimated with the Vegetation, Photosynthesis and Respiration Model by Igor B. Konovalov, Nikolai A. Golovushkin, Evgeny A. Mareev

“…We developed a regional-scale inverse modeling system that applies a Bayesian variational optimization algorithm to optimize parameters of VPRM coupled to the CHIMERE chemistry transport model and which involves a preliminary transformation of the input XCO₂ data that reduces the impact of the CHIMERE boundary conditions on inversion results. …”
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Implementasi Algoritma Genetika dalam optimasi Performa Truk Sampah Menggunakan Aplikasi Trash Queen by Arief Kelik Nugroho, Muhammad Naufal Faza

“…Trash Queen utilizes genetic algorithm to run simulations repeatedly until an optimal solution is obtained. …”
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Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor by Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Prabhu C. Acharya, Indrin J. Chetty, Benjamin Movsas, James R. Ewing, Kundan Thind

“…Approximately two hundred thirty thousand (229,314) normalized ΔR1 profiles of animals’ brain voxels along with their NMS results were used to build a K-SOM (topology-size: 8 × 8, with competitive-learning algorithm) and probability map of each model. K-fold nested-cross-validation (NCV, k = 10) was used to evaluate the performance of the K-SOM probabilistic-NMS (PNMS) technique against the NMS technique. …”
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Pengenalan Aktivitas Manusia Menggunakan Sensor Akselerometer dan Giroskop pada Smatphone dengan Metode K-Nearest Neighbor by Zainal Arifien, Fitra Abdurrahman Bachtiar, Novanto Yudistira

“…The data then processed and classified using the k-Nearest Neighbor (k-NN) algorithm. The accuracy results obtained in this study reaches 79.56%. …”
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Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospectiv... by Shingo Fukuma, Yukio Yuzawa, Daijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya, Akira Koseki, Toshiya Iwamori, Michiharu Kudo

“…For each group, we developed prediction models that classified the steepest eGFR decline, defined as extremely rapid eGFR decline compared with others in the same group, where we used the random forest algorithm with clinical parameters.Results Our clustering model first identified three high-level groups according to the baseline eGFR (G1, high GFR, 99.7±19.0; G2, intermediate GFR, 62.9±10.3 and G3, low GFR, 43.7±7.8); our model simultaneously found three eGFR trajectory clusters for each group, resulting in nine clusters with different slopes of eGFR decline. …”
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Klasifikasi Kinerja Akademik Siswa Menggunakan Neighbor Weighted K-Nearest Neighbor dengan Seleksi Fitur Information Gain by Rizky Adinda Azizah, Fitra Bachtiar, Sigit Adinugroho

“…Neighbor Weighted K-Nearest Neighbor algorithm with Information Gain method will be applied to this study to help predict student performance. …”
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Implementasi Algoritma Fuzzi Mamdani pada Sistem Pakar Menggunakan Software Aplikasi Matlab R2007B, Studi Kasus: Tanaman Hidroponik Selada Air by Okta Purnawirawan, Tri Afirianto

“…Expert system work process by applying the fuzzy mamdani algorithm. The expert system was built using the functions of the Fuzzy Inference System (FIS) contained in the Fuzzy Logic Toolbox (FLT) in the MATLAB R2007b application software. …”
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Deep learning reconstruction of zero-echo time sequences to improve visualization of osseous structures and associated pathologies in MRI of cervical spine by Malwina Kaniewska, Fabio Zecca, Carina Obermüller, Falko Ensle, Eva Deininger-Czermak, Maelene Lohezic, Roman Guggenberger

“…ZTE-DL sequences were reconstructed from raw data using the AirReconDL algorithm. Three blinded readers independently evaluated image quality, artifacts, and bone delineation on a 5-point Likert scale. …”
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Comparative Evaluation of AI-Based Multi-Spectral Imaging and PCR-Based Assays for Early Detection of <i>Botrytis cinerea</i> Infection on Pepper Plants by Dimitrios Kapetas, Eleni Kalogeropoulou, Panagiotis Christakakis, Christos Klaridopoulos, Eleftheria Maria Pechlivani

“…This study employs the Deep Learning algorithm YOLO for single-class segmentation on plant images to extract spatial details of pepper leaves. …”
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Dengue dynamics, predictions, and future increase under changing monsoon climate in India by Yacob Sophia, Mathew Koll Roxy, Raghu Murtugudde, Anand Karipot, Amir Sapkota, Panini Dasgupta, Kalpana Baliwant, Sujata Saunik, Abhiyant Tiwari, Rajib Chattopadhyay, Revati K. Phalkey

“…Based on these weather-dengue associations, we developed a machine-learning model utilizing the random forest regression algorithm. The dengue model yields a skillful forecast, achieving a statistically significant correlation coefficient of r = 0.77 and a relatively low Normalized Root Mean Squared Error score of 0.52 between actual and predicted dengue mortalities, at a lead time of two months. …”
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Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF) by Muhammad Tajuddin Anwar, Syahroni Hidayat, Ahmat Adil

“…The results show that the application of the NGF-ICA algorithm can generate high-quality output images with average values of MSE, PSNR, SSIM, and increasing Entropy by 708, 19.95 dB, 0.87, and 0.45, respectively. …”
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Analysis of changes in the genome of the Omsk hemorrhagic fever virus (Flaviviridae: <i>Orthoflavivirus</i>) during laboratory practices for virus preservation by Zhanna S. Tyulko, Artem V. Fadeev, Aleksei G. Vasilenko, Ekaterina A. Gradoboeva, Valerii V. Yakimenko, Andrey B. Komissarov

“…In the phylogenetic analysis, the relaxed clock algorithm of the BEAST program was used. Results. …”
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Correction of Dysbiosis in Diversion Proctitis: Possibilities of Intraluminal Sanitation and the Prevention of Complications after Reconstructive Surgery by V. S. Groshilin, D. V. Martynov, Yu. L. Naboka, M. Yu. Bakulyarov, G. A. Mrykhin

“…This determines the need for a therapeutic algorithm of intestine sanitation and the introduction of methods for preventing the anastomotic leakage after obstructive resection of the distal colon (Hartmann’s operation). …”
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Defining ecological thresholds to detect potential ecological risks of offshore wind power using macrobenthic biodiversity and indicator species in Cangnan, China by Wanhong Han, Chen Song, Yurong Zhang, Weiwei Zhou, Yushu Yang, Danyi Ke, Aoxiang Huang, Xiaobo Wang, Qingxi Han

“…Additionally, the pruned exact linear time (PELT) algorithm was applied to detect key CPA change points, and threshold indicator taxa analysis (TITAN) was used to confirm reliable ecological thresholds. …”
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Diagnostic Value of Glycosylated Extracellular Vesicle microRNAs in Gastric Cancer by Wang S, Ma C, Ren Z, Zhang Y, Hao K, Liu C, Xu L, He S, Zhang J

“…The signatures were screened in a discovery cohort of GC patients (n=55) and non-disease controls (n=46) using an integrated process, including high-throughput sequencing technology, screening using a complete bioinformatics algorithm, validation using RT-qPCR, and evaluation by constructing a diagnostic model. …”
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A study on the classification of coastal wetland vegetation based on the Suaeda salsa index and its phenological characteristics by Weicheng Huang, Xianyun Fei, Weiwei Yang, Zhen Wang, Yajun Gao, Hong Yan

“…The four phenological metrics were combined with spectral and textural features to classify the vegetation using the random forest (RF) algorithm. In order to demonstrate the efficacy of the constructed vegetation indices, this study employed both the NDVI and the existing Suaeda salsa Vegetation Index (SSVI) to calculate the phenological metrics for classification purposes. …”
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Six-Gene Signature Associated with Immune Cells in the Progression of Atherosclerosis Discovered by Comprehensive Bioinformatics Analyses by Bin Zhao, Dan Wang, Yanling Liu, Xiaohong Zhang, Zheng Wan, Jinling Wang, Ting Su, Linshan Duan, Yan Wang, Yuehua Zhang, Yilin Zhao

“…Besides, we detected the relative fraction of 22 immune cell types in atherosclerosis by using the deconvolution algorithm of “cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT).” …”
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Identifikasi Emosi Pengguna Konferensi Video Menggunakan Convolutional Neural Network by Lina Lina, Arthur Adhitya Marunduh, Wasino Wasino, Daniel Ajienegoro

“…The system detects facial areas in video frames using the Viola-Jones algorithm and identifies the emotions on the detected faces using the Convolutional Neural Network (CNN) method with the VGG-16 architecture. …”
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Critical linkages between land use change and human health in the Amazon region: A scoping review. by Molly Mastel, Alejandra Bussalleu, Valerie A Paz-Soldán, Gabriela Salmón-Mulanovich, Armando Valdés-Velásquez, Stella M Hartinger

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