Search Results - collection algorithm

Multiclass Sentiment Analysis of Electric Vehicle Incentive Policies Using IndoBERT and DeBERTa Algorithms by Muhammad Bayu Nugroho, Akhmad Khanif Zyen, Nur Aeni Widiastuti

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Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election by Mert Can Cakmak, Nitin Agarwal

“…Abstract This study investigates the role of symbolic content, including social, cultural, and political imagery, in shaping algorithmic biases within YouTube’s recommendation system, using the 2024 Taiwanese presidential election as a case study. …”
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Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms by Mengdi Liang, Yuelin Liu, Yue Huang, Ge Ma, Xu Han, Shuaikang Li, Jing Hang, Hui Xie, Lin Chen, Xiaoan Liu, Shui Wang, Tiansong Xia

“…Three machine learning algorithms were applied for feature selection. Then, all the selected features were used for the construction of the prediction model via four machine learning algorithms. …”
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Artificial Intelligence Dystocia Algorithm (AIDA) as a Decision Support System in Transverse Fetal Head Position by Antonio Malvasi, Lorenzo E. Malgieri, Tommaso Difonzo, Reuven Achiron, Andrea Tinelli, Giorgio Maria Baldini, Lorenzo Vasciaveo, Renata Beck, Ilenia Mappa, Giuseppe Rizzo

“…This investigation was conducted as a focused secondary analysis of data originally collected for the development and validation of the Artificial Intelligence Dystocia Algorithm (AIDA). …”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

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TEORÍA DE INVENTARIOS APLICACIÓN DE LA TEORIA DE INVENTARIOS EN LA EMPRESA KJANTU COLLECTION S.A.C. by Jean Paul Santiago Tumialán

“…The present research work shows an application of a mathematical algorithm based on a linear programming model, withwhich a solution is given to the raw material inventory management problem presented by the company «Kjantu Collection»in its warehouses, in the It is not known how much should be invested in a given period or how much the total merchandiseis valued. …”
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Experience in Documenting and Visualizing Small Artifacts: a case study of Palmyrene tesserae from the Pushkin State Museum of fine arts collection by Maria G. Bodrova, Alexey K. Lyavdansky

“…The paper presents the experience of 3D modeling (photogrammetry) of nine small-sized archaeological artifacts from the collection of the Pushkin State Museum of Fine Arts. …”
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Bioresource collection of blood components from pregnant women to identify fetal genetic features, as well as to search for genetic markers of gestational complications by E. S. Vashukova, O. A. Tarasenko, O. E. Talantova, P. Yu. Kozyulina, A. V. Morshneva, А. R. Maltseva, O. V. Pachulia, O. N. Bespalova, I. Yu. Kogan, A. S. Glotov

“…Based on the collection, a previously developed bioinformatic algorithm for non-invasive prenatal analysis was tested on a DNBSEQ-G50 sequencer (MGI, China). …”
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Penerapan Algoritma C4.5 Untuk Menentukan Kepuasan Pengguna Aplikasi E-Open Study Kasus : Kelurahan Jati Makmur by Yuli Komalasari, Nabila Rahmah Puspitasari, Chalimatusadiah Chalimatusadiah

“…Keywords : Accuracy, C4.5 Algorithm,E-Open…”
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Inversion and Simulation Algorithm of High-Density Surface Wave Method for Pseudo Co-Seismic Source and Its Application by JIN Tao, GAO Bin, WANG Qiangqiang, ZHOU Hang, HE Wen, FENG Shaokong

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Partial Discharge Fault Detection of Substation GIS Based on CEEMDAN Fusion Processing Algorithm of Multi‐Frequency Signals by Yuan Sun, Hao Xie, Li Chang

“…Therefore, a partial discharge fault detection method for substation GIS based on multi‐frequency signal CEEMDAN fusion processing algorithm is proposed. By analyzing the typical GIS partial discharge fault state structure, segmented collection of substation GIS partial discharge data is carried out; Based on the window function method and nonlinear gain adjustment method, a limited impulse response filter with precise linear phase characteristics is selected for multi‐frequency signal enhancement processing; Simultaneously combining wavelet reconstruction technology and Fisher criterion to improve the CEEMDAN algorithm, obtaining a fused signal containing frequency feature information; Using CNN network model to fuse feature signals as input, achieve accurate detection of partial discharge faults in substation GIS. …”
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Physical fitness characteristics and comprehensive physical fitness evaluation model of basketball players based on association rule algorithm. by Yongkang Ding

“…The study adopted the Apriori association rule algorithm in data mining. First, the physical data of basketball players were collected and preprocessed. …”
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Study on the automatic extraction of water body information from SPOT-5 images using decision tree algorithm by DENG Jin-song, WANG Ke, LI Jun, Dong Yun-qi

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A Hybrid Internet of Behavior Algorithm for Predicting IoT Data of Plant Growing using LSTM and NB Models by Khansaa Yaseen Ahmad, Omar Muayad Abdullah

“…To improve the prediction accuracy, the outputs of the LSTM system were used as inputs to the Naïve Bayes algorithm. The dataset is collected from the Kaggle website using Internet of Things (IoT) sensor readings depending on the factors that affecting the plant growing. …”
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Public Sentiment Analysis on the Boycott Israel Movement on Platform X Using Random Forest and Logistic Regression Algorithms by Rachmayanti Tri Agustin, Yana Cahyana, Kiki Ahmad Baihaqi, Tatang Rohana

“…This research aims to analyze public sentiment toward the boycott movement against Israel on the X platform by applying Random Forest and Logistic Regression algorithms. The study uses 616 tweets collected through web crawling with relevant keywords such as "Boikot", "Israel", and "Palestine", covering the period from March 1, 2023 to January 30, 2025. …”
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Comparison of K-Nearest Neighbors and Naive Bayes Classifier Algorithms in Sentiment Analysis of 2024 Election in Twitter (X) by Lola Enjelia, Yana Cahyana, Rahmat, Deden Wahiddin

“…This study compares the performance of the K-Nearest Neighbors (K-NN) and Naive Bayes Classifier (NBC) algorithms in sentiment analysis of the 2024 Regional Election (Pilkada) based on Indonesian local data sourced from platform X. …”
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Besemah Language Translation Machine Model Based on Machine Learning with Recurrent Neural Network (RNN) Model Algorithm by Muhamad Andika, Yesi Novaria Kunang, Ilman Zuhri Yadi, Susan Dian Purnamasari

“…Machine Learning involves the use of computers and mathematical algorithms that use data to make predictions in the future. …”
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Studies on the prevalence, diagnostic algorithm and antimicrobial drug sensitivity of Streptococcus suis isolates from industrially reared pigs by V. Galeva, L. Ivanov, V. Urumova

Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study by Prasanta Kumar Samal, R. Srinidhi, Pramod Kumar Malik, H. J. Manjunatha, Imran M. Jamadar

“…This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in condition monitoring systems. …”
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K-Means Clustering Algorithm Measuring the Satisfaction Level of MNC TV Muslim I'murojaah Program Viewers by Herayati Herayati, Andronias Siregar, Hariyanto Hariyanto

“…This study employs a qualitative approach using the K-Means Clustering algorithm. The data used in this study were obtained through a survey distributed to 100 respondents, covering several viewer satisfaction indicators such as content quality (6 questions) and program presentation (6 questions). …”
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