Výsledky vyhľadávania - "Data Mining and Machine Learning"

FOWD: A Free Ocean Wave Dataset for Data Mining and Machine Learning Autor Häfner, Dion, Gemmrich, Johannes, Jochum, Markus

“… Modern data mining and machine learning methods provide a promising way out, but they typically rely on the availability of massive amounts of well-cleaned data…”
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Towards computerized diagnosis of neurological stance disorders: data mining and machine learning of posturography and sway Autor Ahmadi, Seyed-Ahmad, Vivar, Gerome, Frei, Johann, Nowoshilow, Sergej, Bardins, Stanislav, Brandt, Thomas, Krafczyk, Siegbert

“…We perform classification, ranking and mapping of body sway parameters from static posturography data of patients using recent machine-learning and data-mining…”
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Predicting osteoarthritis in adults using statistical data mining and machine learning Autor Bertoncelli, Carlo M., Altamura, Paola, Bagui, Sikha, Bagui, Subhash, Vieira, Edgar Ramos, Costantini, Stefania, Monticone, Marco, Solla, Federico, Bertoncelli, Domenico

“…: To develop a prediction model for identifying risk factors of OA in subjects aged 20–50 years and compare the performance of different machine learning models. Methods…”
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Determining the level of propaganda in opera librettos using data mining and machine learning Autor Dats, Iryna, Gavrilenko, Olena, Feshchenko, Kyrylo

“… the subject area's peculiarities. Each of the selected indicators was calculated using statistical analysis, data mining, and machine learning methods…”
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Predicting game-induced emotions using EEG, data mining and machine learning Autor Lim, Min Xuan, Teo, Jason

“…Background Emotion is a complex phenomenon that greatly affects human behavior and thinking in daily life. Electroencephalography (EEG), one of the human…”
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Toward a Comprehensive Evaluation of Student Knowledge Assessment for Art Education: A Hybrid Approach by Data Mining and Machine Learning Autor Wang, Shan, Wang, Hongtao, Lu, Yijun, Huang, Jiandong

“…By analyzing students’ understanding of a certain subject’s knowledge and learning process, and evaluating their learning level, we can formulate students…”
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Assessment of Associations Between Serum Lipoprotein (a) Levels and Atherosclerotic Vascular Diseases in Hungarian Patients With Familial Hypercholesterolemia Using Data Mining and Machine Learning Autor Németh, Ákos, Daróczy, Bálint, Juhász, Lilla, Fülöp, Péter, Harangi, Mariann, Paragh, György

“…Background and aims: Premature mortality due to atherosclerotic vascular disease is very high in Hungary in comparison with international prevalence rates,…”
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Predicting the Level of Safety Feeling of Bangladeshi Internet users using Data Mining and Machine Learning Autor Alam, Md. Safiul, Roy, Anirban, Majumder, Partha Protim, Khushbu, Sharun Akter

“…An amazing combination of cutting-edge data mining and machine learning methodologies to predict the level of safety feeling among Bangladeshi internet users, which is a significant departure in this subject…”
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Data Mining and Machine Learning in Environmental Informatics Autor Tüysüzoğlu, Göksu

“…Nowadays, environmental informatics is one of the fields where data mining and machine learning techniques for data processing…”
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Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: a recurrent neural network solution Autor Alcantara, Ryan S., Edwards, W. Brent, Millet, Guillaume Y., Grabowski, Alena M.

“…Ground reaction forces (GRFs) are important for understanding human movement, but their measurement is generally limited to a laboratory environment. Previous…”
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COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans Autor Alshazly, Hammam, Linse, Christoph, Abdalla, Mohamed, Barth, Erhardt, Martinetz, Thomas

“… 4173 CT images for 210 subjects structured in a subject-wise manner into three different…”
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Transfer learning based approach for lung and colon cancer detection using local binary pattern features and explainable artificial intelligence (AI) techniques Autor Alsubai, Shtwai

“…Cancer, a life-threatening disorder caused by genetic abnormalities and metabolic irregularities, is a substantial health danger, with lung and colon cancer…”
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A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19? Autor Santosh, KC, Rasmussen, Nicholas, Mamun, Muntasir, Aryal, Sunil

“…For COVID-19, the need for robust, inexpensive, and accessible screening becomes critical. Even though symptoms present differently, cough is still taken as…”
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Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review Autor Yeslam, Hanin E., Freifrau von Maltzahn, Nadine, Nassar, Hani M.

“…Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients…”
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Research on marine flexible biological target detection based on improved YOLOv8 algorithm Autor Tian, Yu, Liu, Yanwen, Lin, Baohang, Li, Peng

“… marine flexible biological targets. Initially, we compiled a dataset comprising marine flexible biological subjects and developed a Contrast Limited Adaptive Histogram Equalization (CLAHE…”
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miRcorrNet: machine learning-based integration of miRNA and mRNA expression profiles, combined with feature grouping and ranking Autor Yousef, Malik, Goy, Gokhan, Mitra, Ramkrishna, Eischen, Christine M., Jabeer, Amhar, Bakir-Gungor, Burcu

“…A better understanding of disease development and progression mechanisms at the molecular level is critical both for the diagnosis of a disease and for the…”
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Comparison of machine learning approaches for enhancing Alzheimer’s disease classification Autor Li, Qi, Yang, Mary Qu

“…Alzheimer’s disease (AD) is a progressive neurodegenerative disorder, accounting for nearly 60% of all dementia cases. The occurrence of the disease has been…”
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DenseHillNet: a lightweight CNN for accurate classification of natural images Autor Saqib, Sheikh Muhammad, Zubair Asghar, Muhammad, Iqbal, Muhammad, Al-Rasheed, Amal, Amir Khan, Muhammad, Ghadi, Yazeed, Mazhar, Tehseen

“…The detection of natural images, such as glaciers and mountains, holds practical applications in transportation automation and outdoor activities…”
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An interpretable machine learning model for diagnosis of Alzheimer's disease Autor Das, Diptesh, Ito, Junichi, Kadowaki, Tadashi, Tsuda, Koji

“…), while SHIMR employs a weighted sum of short rules. Using proteomics data of 151 subjects in the Alzheimer’s Disease Neuroimaging Initiative (ADNI…”
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Enhanced congestion prediction of traffic flow using a hybrid attention-based deep learning model Autor Aburasain, Rua Yahya

“…Traffic congestion has become a critical issue worldwide, significantly impacting the quality of life and causing economic losses in urban areas. To address…”
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