ExAIRFC-GSDC: An Advanced Machine Learning-Based Interpretable Framework for Accurate Gas Leakage Detection and Classification by B. Lalithadevi, S. Krishnaveni

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The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network by A.V. Medvedev, B. Lehmann

“…Absence seizures (n = 94) from 12 patients were taken into analysis along with segments of background activity. …”
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A Novel Classification System of Smart Mechanical Plaque Control: A Cross-Sectional Survey with Cluster Analysis by Balraj R. Shukla, Anup K. Panda

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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
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Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea by Yelim Choi, Bogyeong Kang, Daekeun Kim

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Performance Analysis of MobileNetV3-based Convolutional Neural Network for Facial Skin Disorder Classification by Herimanto, Arie Satia Dharma, Junita Amalia, David Largo, Christin Adelia Pratiwi Sihite

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Application of the Sydney System for Classification and Reporting Lymph Node Cytopathology to Assess the Risk of Malignancy and its Diagnostic Accuracy by Sudipta Das, Aseema Das, Bandita Das

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Cardiac sound classification using a hybrid approach: MFCC-based feature fusion and CNN deep features by Mahbubeh Bahreini, Ramin Barati, Abbas Kamali

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Simulation of the Hydrological Components of Dez River Basin by the classification of Land Use Categories Using SUFI-2 Algorithm by Elaheh Asgari, Mohammad Baaghideh, Majid Hosseini, Alireza Entezari, Asghar Kamyar

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Machine learning assisted classification RASAR modeling for the nephrotoxicity potential of a curated set of orally active drugs by Arkaprava Banerjee, Kunal Roy

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Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network by Rusvaira Qatrunnada, Novizon Novizon, Mardini Hasanah, Tuti Angraini, Anton Anton

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Evaluating retinal thickness classification in children: A comparison between pediatric and adult optical coherence tomography databases. by Tian Siew Pua, Mohd Izzuddin Hairol

“…<h4>Results</h4>The mean thickness for the total RNFL, average macular, and central macula were 112.05±8.65 μm, 280.24±12.46 μm, and 220.55±17.53 μm, respectively. The overall agreement between the classification of the adult database and pediatric data for pRNFL was ≥90%, with discrepancies in 46 out of 150 eyes (30.67%); for macula, it was above 72%, with discrepancies in 93 out of 153 eyes (60.78%); and for ganglion cell complex and ganglion cell + inner plexiform layer (GCIPL) the agreement was above 84% and 85%, respectively. …”
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A Hybrid Model for Psoriasis Subtype Classification: Integrating Multi Transfer Learning and Hard Voting Ensemble Models by İsmail Anıl Avcı, Merve Zirekgür, Barış Karakaya, Betül Demir

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Review on Synthesis Method, Classification and AdsorptionSeparation and Sensing Application of Metal-Organic Frameworks (MOFs) Based Composites by Aklilu Melese, Kenaegzer Mulate, Abdu Hussen, Afework Hailekiros, Walelign Wubet

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A novel ViT-BILSTM model for physical activity intensity classification in adults using gravity-based acceleration by Lin Wang, Zizhang Luo, Tianle Zhang

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Simulation Study of Carbon Extraction from Coal Gasification Fine Slag by Airflow Classification Based on CFD-DEM by LI Xiangyang, ZHANG Qian, LI Le, BAI Hui, HUANG Wei

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Characterization and classification of the compositional quality of milk from river buffaloes (Bubalus bubalis) and cows (Bos spp.) in Colombia by W. A. Barragán-Hernández, L. Mahecha-Ledesma, J. Angulo-Arizala, M. Olivera-Angel

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Feature Selection in Cancer Classification: Utilizing Explainable Artificial Intelligence to Uncover Influential Genes in Machine Learning Models by Matheus Dalmolin, Karolayne S. Azevedo, Luísa C. de Souza, Caroline B. de Farias, Martina Lichtenfels, Marcelo A. C. Fernandes

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Nutritional, phenolic and in vitro digestion characteristics of dried grape pomace processed with different micronization/air-classification protocols by Aristide Maggiolino, Roberta Greco, Federica Blando, Eleni Tsiplakou, Elisabetta Casalino, Pasquale De Palo

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A revised classification of Dryopteridaceae based on plastome phylogenomics and morphological evidence, with the description of a new genus, Pseudarachniodes by Zheng-Yu Zuo, Germinal Rouhan, Shi-Yong Dong, Hong-Mei Liu, Xin-Yu Du, Li-Bing Zhang, Jin-Mei Lu

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