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Proficiency evaluation of shape and WPT radiomics based on machine learning for CT lung cancer prognosis
Proficiency evaluation of shape and WPT radiomics based on machine learning for CT lung cancer prognosis
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Proficiency evaluation of shape and WPT radiomics based on machine learning for CT lung cancer prognosis

Nissar, Arooj ; Mir, A. H.

Egyptian Journal of Radiology and Nuclear Medicine, 2024-12, Vol.55 (1), p.50-13 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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A semantic-based model with a hybrid feature engineering process for accurate spam detection
A semantic-based model with a hybrid feature engineering process for accurate spam detection
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A semantic-based model with a hybrid feature engineering process for accurate spam detection

Mohammed, Chira N. ; Ahmed, Ayah M.

Journal of Electrical Systems and Information Technology, 2024-12, Vol.11 (1), p.26-16, Article 26 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Screening biomarkers for spinal cord injury using weighted gene co-expression network analysis and machine learning
Screening biomarkers for spinal cord injury using weighted gene co-expression network analysis and machine learning
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Screening biomarkers for spinal cord injury using weighted gene co-expression network analysis and machine learning

Li, Xiaolu ; Yang, Ye ; Xu, Senming ; Gui, Yuchang ; Chen, Jianmin ; Xu, Jianwen

Neural regeneration research, 2024-12, Vol.19 (12), p.2723-2734 [Periódico revisado por pares]

India: Wolters Kluwer - Medknow

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4
Innovative deep learning techniques for monitoring aggressive behavior in social media posts
Innovative deep learning techniques for monitoring aggressive behavior in social media posts
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Innovative deep learning techniques for monitoring aggressive behavior in social media posts

Han, Huimin ; Asif, Muhammad ; Awwad, Emad Mahrous ; Sarhan, Nadia ; Ghadi, Yazeed Yasid ; Xu, Bo

Journal of cloud computing : advances, systems and applications, 2024-12, Vol.13 (1), p.19-13, Article 19 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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5
Application of supervised learning for classification of cracking and non-cracking major damage in TRMs based on AE features
Application of supervised learning for classification of cracking and non-cracking major damage in TRMs based on AE features
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Application of supervised learning for classification of cracking and non-cracking major damage in TRMs based on AE features

Junaid, Khan ; Si Larbi, Amir ; Algourdin, Nonna ; Mesticou, Zyed ; Aggelis, Dimitrios ; Cai, Gaochuang

Construction & building materials, 2024-07, Vol.437, p.137079, Article 137079 [Periódico revisado por pares]

Elsevier Ltd

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6
Comparative Study of Conventional Machine Learning versus Deep Learning-Based Approaches for Tool Condition Assessments in Milling Processes
Comparative Study of Conventional Machine Learning versus Deep Learning-Based Approaches for Tool Condition Assessments in Milling Processes
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Comparative Study of Conventional Machine Learning versus Deep Learning-Based Approaches for Tool Condition Assessments in Milling Processes

Przybyś-Małaczek, Agata ; Antoniuk, Izabella ; Szymanowski, Karol ; Kruk, Michał ; Sieradzki, Alexander ; Dohojda, Adam ; Szopa, Przemysław ; Kurek, Jarosław

Applied sciences, 2024-07, Vol.14 (13), p.5913 [Periódico revisado por pares]

Basel: MDPI AG

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7
OLF-ML: An Offensive Language Framework for Detection, Categorization, and Offense Target Identification Using Text Processing and Machine Learning Algorithms
OLF-ML: An Offensive Language Framework for Detection, Categorization, and Offense Target Identification Using Text Processing and Machine Learning Algorithms
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OLF-ML: An Offensive Language Framework for Detection, Categorization, and Offense Target Identification Using Text Processing and Machine Learning Algorithms

Hasan, MD. Nahid ; Sakib, Kazi Shadman ; Preeti, Taghrid Tahani ; Allohibi, Jeza ; Alharbi, Abdulmajeed Atiah ; Uddin, Jia

Mathematics (Basel), 2024-07, Vol.12 (13), p.2123 [Periódico revisado por pares]

Basel: MDPI AG

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8
CSXAI: a lightweight 2D CNN-SVM model for detection and classification of various crop diseases with explainable AI visualization
CSXAI: a lightweight 2D CNN-SVM model for detection and classification of various crop diseases with explainable AI visualization
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CSXAI: a lightweight 2D CNN-SVM model for detection and classification of various crop diseases with explainable AI visualization

Prince, Reazul Hasan ; Mamun, Abdul Al ; Peyal, Hasibul Islam ; Miraz, Shafiun ; Nahiduzzaman, Md ; Khandakar, Amith ; Ayari, Mohamed Arselene

Frontiers in plant science, 2024-07, Vol.15, p.1412988 [Periódico revisado por pares]

Frontiers Media S.A

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9
Rapid detection of lung cancer based on serum Raman spectroscopy and a support vector machine: a case-control study
Rapid detection of lung cancer based on serum Raman spectroscopy and a support vector machine: a case-control study
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Rapid detection of lung cancer based on serum Raman spectroscopy and a support vector machine: a case-control study

Yan, Linfang ; Su, Huiting ; Liu, Jiafei ; Wen, Xiaozheng ; Luo, Huaichao ; Yin, Yu ; Guo, Xiaoqiang

BMC cancer, 2024-07, Vol.24 (1), p.1-9, Article 791 [Periódico revisado por pares]

London: BioMed Central Ltd

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10
Using Support Vector Machines to Classify Road Surface Conditions to Promote Safe Driving
Using Support Vector Machines to Classify Road Surface Conditions to Promote Safe Driving
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Using Support Vector Machines to Classify Road Surface Conditions to Promote Safe Driving

Moon, Jaepil ; Park, Wonil

Sensors (Basel, Switzerland), 2024-07, Vol.24 (13), p.4307 [Periódico revisado por pares]

Basel: MDPI AG

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