Klasifikasi Multilabel Pada Gaya Belajar Siswa Sekolah Dasar Menggunakan Algoritma Machine Learning by I Kadek Nicko Ananda, Ni Putu Novita Puspa Dewi, Ni Wayan Marti, Luh Joni Erawati Dewi

“… Learning style plays a very important role in determining the success of a person's learning process. An individual generally has a combination of all three existing learning styles including Visual, Auditorial, and Kinesthetic. …”
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Dynamic Classifier Auditing by Unsupervised Anomaly Detection Methods: An Application in Packaging Industry Predictive Maintenance by Fernando Mateo, Joan Vila-Francés, Emilio Soria-Olivas, Marcelino Martínez-Sober, Juan Gómez-Sanchis, Antonio José Serrano-López

“…Three anomaly detection methods were evaluated: One-Class Support Vector Machine (OCSVM), Minimum Covariance Determinant (MCD), and a majority (hard) voting ensemble of the two. …”
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Leveraging Explainable Artificial Intelligence (XAI) for Expert Interpretability in Predicting Rapid Kidney Enlargement Risks in Autosomal Dominant Polycystic Kidney Disease (ADPKD... by Latifa Dwiyanti, Hidetaka Nambo, Nur Hamid

“…However, determining high-risk status typically requires magnetic resonance imaging (MRI) to calculate total kidney volume (TKV), a time-consuming process demanding specialized expertise. Motivated by these challenges, this study proposes alternative methods for high-risk categorization that do not rely on TKV data. …”
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Seismic Attribute Extraction and Application Based on the Gabor Wavelet Transform by Ran Xiong, Xuri Huang, Liang Guo, Xuan Zou, Haonan Tian

“…Finally, the validity of the extracted seismic attributes is verified by a field data. In this process, the seismic amplitude, spectrum data and Gabor attributes are used as sample data for the support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost) models and deep residual shrinkage network (DRSN) for comparison. …”
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Combining Open-Source Machine Learning and Publicly Available Aerial Data (NAIP and NEON) to Achieve High-Resolution High-Accuracy Remote Sensing of Grass–Shrub–Tree Mosaics by Brynn Noble, Zak Ratajczak

“…We compared two machine learning models—support vector machines and random forests—implemented in R using large training and evaluation data sets. …”
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Habitat suitability modeling to improve conservation strategy of two highly-grazed endemic plant species in saint Catherine Protectorate, Egypt by Mohamed M. El-Khalafy, Eman T. El-Kenany, Alshymaa Z. Al-Mokadem, Salma K. Shaltout, Ahmed R. Mahmoud

“…In our analysis, we included the incorporation of bioclimatic variables into the SDM modeling process using four main algorithms: generalized linear model (GLM), Random Forest (RF), Boosted Regression Trees (BRT), and Support Vector Machines (SVM) in an ensemble model. …”
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Multiscale Residual Weighted Classification Network for Human Activity Recognition in Microwave Radar by Yukun Gao, Lin Cao, Zongmin Zhao, Dongfeng Wang, Chong Fu, Yanan Guo

“…This can extract the representative vector of each image and also obtain the pre-training parameters of the MRW image encoder. …”
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Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM by Pampa Sinha, Kaushik Paul, Asit Mohanty, IM Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Ahmed Althobaiti, Hany S Hussein, Thamer AH Alghamdi, Ahmed M Ewais

“…These optimized features are used for training a multi-class support vector machine, with its parameters further optimized for enhanced classification accuracy. …”
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A case of laryngeal leishmaniasis presenting as hoarseness in an Ethiopian patient: a case report by Mohammedsefa Arusi Dari, Zelalem Tadesse Wondimu, Melaku Abay Muluneh, Martha Mekonen Gdey, Adil Fekede Ayele

“…The infection can spread through zoonotic or anthroponotic transmission, depending on the species, with the phlebotomine sandfly serving as the primary vector. Leishmaniasis is endemic in tropical regions of Asia and Africa. …”
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THEORY OF DEMOGRAPHIC RESEARCH IN THE UNIVERSITY SCIENTIFIC SCHOOL by N. V. Zvereva

“…The scientific article is targeted at researchers of social processes in society attributable to the group of social anomalies. …”
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Analysis of junior servers approaching a senior server in the multi-server queueing-inventory system by K. Jeganathan, V. Anzen Koffer, K. Prasanna Lakshmi, N. Anbazhagan, Gyanendra Prasad Joshi, Woong Cho

“…We analyze the performance of such a system by modeling it into a quasi-birth-and-death process, and its steady-state probability vector has been computed. …”
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PDAA: An End-to-End Polygon Dynamic Adjustment Algorithm for Building Footprint Extraction by Longjie Luo, Jiangchen Cai, Bin Feng, Liufeng Tao

“…Values of 75.4% AP and 84.9% PolySim were achieved on the WHU dataset, effectively solving the problems of redundant vertices and contour smoothing, and providing high-precision building vector data support for scenarios such as smart cities and emergency response.…”
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Old Drugs, New Indications (Review) by I. I. Miroshnichenko, E. A. Valdman, I. I. Kuz'min

“…The drug can be used in the treatment of one disease and for the prevention and treatment of another pathological process. This is possible due to the repurposing of medicines. …”
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Software Implementation of the Epps-Pulley Criterion in Matlab Modeling Environment by A. A. Tipikin, A. A. Prusakov, N. A. Timoshenko

“…An assessment of the computational efficiency of the methods showed that the cyclic approach is about three times higher than the matrix-vector approach in terms of consumed time, which is presumably associated with the processing of insignificant elements in triangular matrices when performing component-by-component operations. …”
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Local over-expression of VEGF-DΔNΔC in the uterine arteries of pregnant sheep results in long-term changes in uterine artery contractility and angiogenesis. by Vedanta Mehta, Khalil N Abi-Nader, Panicos Shangaris, S W Steven Shaw, Elisa Filippi, Elizabeth Benjamin, Michael Boyd, Donald M Peebles, John Martin, Ian Zachary, Anna L David

“…Here we examined the effect of Ad.VEGF-DΔNΔC vector encoding a fully processed form of VEGF-D, on the uteroplacental circulation.…”
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Progress towards elimination of onchocerciasis transmission in Mali: A "pre-stop MDA" survey in 18 transmission zones. by Housseini Dolo, Michel Emmanuel Coulibaly, Moussa Sow, Yaya Ibrahim Coulibaly, Mama Doumbia, Moussa Sangare, Abdoul Sanogo, Benoit Dembele, Boubacar Guindo, Mamadou Coulibaly, Modibo Keita, Lamine Soumaoro, Dansine Diarra, Boubacar Dicko, Louise Hamill, Seydou Doumbia, Hamadoun Sangho, Yacouba Sangare, Yaobi Zhang, Jamie Tallant, Alpha Seydou Yaro, Charles Mackenzie, Thomas B Nutman, Daniel Boakye

“…<h4>Background</h4>Onchocerciasis control activities in Mali began in 1975 with vector larviciding carried out by the Onchocerciasis Control Programme (OCP), followed by the distribution of ivermectin from 1998 until the closure of the OCP in 2002. …”
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Applying Machine Learning on Big Data With Apache Spark by Elias Dritsas, Maria Trigka

“…Our findings indicate that Apache Spark&#x2019;s in-memory processing and distributed computing capabilities provide effective scalability, allowing these models to handle large-scale data with linear increases in processing time. …”
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The Use of Minimization Solvers for Optimizing Time-Varying Autoregressive Models and Their Applications in Finance by Zhixuan Jia, Wang Li, Yunlong Jiang, Xingshen Liu

“…Time series data are fundamental for analyzing temporal dynamics and patterns, enabling researchers and practitioners to model, forecast, and support decision-making across a wide range of domains, such as finance, climate science, environmental studies, and signal processing. In the context of high-dimensional time series, the Vector Autoregressive model (VAR) is widely used, wherein each variable is modeled as a linear combination of lagged values of all variables in the system. …”
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Animal Trypanosomiasis: Challenges and Prospects for New Vaccination Strategies by Samille Henriques Pereira, Felipe Paladino Alves, Santuza Maria Ribeiro Teixeira

“…These new approaches must be part of integrated control programs, which must also include vector management and the awareness of good veterinary practices. …”
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Understanding students’ sentiment from feedback with a new feature selection and semantics networks by Tran Anh Tuan, Dao Thi Thanh Loan, Nichnan Kittiphattanabawon

“…In this study, we propose the Student Sentiment from Feedback (SSF) framework, which includes four main procedures: pre-processing, feature selection, classification, and theme finding. …”
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