Search Results - MACHINE learning

1

Academic Journal

A hybrid framework for glaucoma detection through federated machine learning and deep learning models.

Authors: Aljohani, Abeer¹ (AUTHOR) aahjohani@taibahu.edu.sa, Aburasain, Rua Y.² (AUTHOR)

Superior Title: BMC Medical Informatics & Decision Making. 5/2/2024, Vol. 24 Issue 1, p1-16. 16p.

Subject Terms: *DEEP learning, *MACHINE learning, *GLAUCOMA, *CONVOLUTIONAL neural networks, *VISION disorders, *COMPUTER-assisted image analysis (Medicine)

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2

Academic Journal

An orchestra of machine learning methods reveals landmarks in single-cell data exemplified with aging fibroblasts.

Authors: Rasbach, Lauritz¹ (AUTHOR), Caliskan, Aylin¹ (AUTHOR), Saderi, Fatemeh¹ (AUTHOR), Dandekar, Thomas¹ (AUTHOR) dandekar@biozentrum.uni-wuerzburg.de, Breitenbach, Tim¹ (AUTHOR) dandekar@biozentrum.uni-wuerzburg.de

Superior Title: PLoS ONE. 4/17/2024, Vol. 19 Issue 4, p1-36. 36p.

Subject Terms: *ZINC-finger proteins, *MACHINE learning, *FIBROBLASTS, *FEATURE extraction, *FEATURE selection, *GENE expression, *PROTEIN kinases, *ORCHESTRA

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3

Academic Journal

A machine learning based depression screening framework using temporal domain features of the electroencephalography signals.

Authors: Khan, Sheharyar¹ (AUTHOR), Umar Saeed, Sanay Muhammad¹ (AUTHOR), Frnda, Jaroslav^2,3 (AUTHOR), Arsalan, Aamir⁴ (AUTHOR) aamir.arsalan@fjwu.edu.pk, Amin, Rashid⁵ (AUTHOR) aamir.arsalan@fjwu.edu.pk, Gantassi, Rahma⁶ (AUTHOR), Noorani, Sadam Hussain¹ (AUTHOR)

Superior Title: PLoS ONE. 3/27/2024, Vol. 19 Issue 3, p1-29. 29p.

Subject Terms: *MEDICAL screening, *MACHINE learning, *FEATURE extraction, *MENTAL illness, *FEATURE selection

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4

Academic Journal

In Vivo Prediction of Breast Muscle Weight in Broiler Chickens Using X-ray Images Based on Deep Learning and Machine Learning.

Authors: Zhu, Rui¹ (AUTHOR) ruiz@cau.edu.cn, Li, Jiayao¹ (AUTHOR) lijiayao@cau.edu.cn, Yang, Junyan¹ (AUTHOR) junyan_yang163@163.com, Sun, Ruizhi^1,2 (AUTHOR) sunruizhi@cau.edu.cn, Yu, Kun³ (AUTHOR) sunruizhi@cau.edu.cn

Superior Title: Animals (2076-2615). Feb2024, Vol. 14 Issue 4, p628. 21p.

Subject Terms: *MACHINE learning, *DEEP learning, *X-ray imaging, *BROILER chickens, *FEATURE extraction, *BREAST

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5

Academic Journal

Non-invasive prediction of the chronic degree of lupus nephropathy based on ultrasound radiomics.

Authors: Yin, Chen¹ (AUTHOR), Xiao, Weihan¹ (AUTHOR), Hu, Xiaomin¹ (AUTHOR), Liu, Xuebin¹ (AUTHOR), Xian, Huaming² (AUTHOR), Su, Jun¹ (AUTHOR), Zhang, Chaoxue³ (AUTHOR) zcxay@163.com, Qin, Xiachuan^1,3 (AUTHOR) 11326636@qq.com

Superior Title: Lupus. Feb2024, Vol. 33 Issue 2, p121-128. 8p.

Subject Terms: *RADIOMICS, *MACHINE learning, *FEATURE extraction, *COMPUTER-assisted image analysis (Medicine), *ULTRASONIC imaging

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6

Academic Journal

A robust intrusion detection system based on a shallow learning model and feature extraction techniques.

Authors: E. L. Asry, Chadia¹ (AUTHOR), Benchaji, Ibtissam¹ (AUTHOR), Douzi, Samira² (AUTHOR) s.douzi@um5r.ac.ma, E. L. Ouahidi, Bouabid¹ (AUTHOR)

Superior Title: PLoS ONE. 1/24/2024, Vol. 19 Issue 1, p1-31. 31p.

Subject Terms: *MACHINE learning, *EXTRACTION techniques, *FEATURE selection, *INTRUSION detection systems (Computer security), *FEATURE extraction, *INTERNET security

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7

Academic Journal

Essential genes identification model based on sequence feature map and graph convolutional neural network.

Authors: Hu, Wenxing¹ (AUTHOR), Li, Mengshan¹ (AUTHOR) msli@gnnu.edu.cn, Xiao, Haiyang¹ (AUTHOR), Guan, Lixin¹ (AUTHOR)

Superior Title: BMC Genomics. 1/10/2024, Vol. 25 Issue 1, p1-14. 14p.

Subject Terms: *CONVOLUTIONAL neural networks, *MACHINE learning, *GENES, *FEATURE extraction, *ARTIFICIAL neural networks

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8

Academic Journal

Intelligent recognition of audio scene based on hybrid attention and parallel deep feature processing under genetic evolutionary computing.

Authors: Li, Danyang¹ (AUTHOR), Jia, Chunlei¹ (AUTHOR) 2020306130@stu.sdnu.edu.cn

Superior Title: Neural Computing & Applications. Dec2023, Vol. 35 Issue 36, p25013-25026. 14p.

Subject Terms: *DEEP learning, *MACHINE learning, *COMPUTER engineering, *FEATURE extraction, *SPATIAL ability, *GENETIC algorithms

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9

Academic Journal

A comprehensive framework for advanced protein classification and function prediction using synergistic approaches: Integrating bispectral analysis, machine learning, and deep learning.

Authors: Alquran, Hiam¹ (AUTHOR), Al Fahoum, Amjed¹ (AUTHOR) afahoum@yu.edu.jo, Zyout, Ala'a¹ (AUTHOR), Abu Qasmieh, Isam¹ (AUTHOR)

Superior Title: PLoS ONE. 12/14/2023, Vol. 18 Issue 12, p1-25. 25p.

Subject Terms: *DEEP learning, *MACHINE learning, *PROTEOMICS, *CONVOLUTIONAL neural networks, *AMINO acid sequence, *FEATURE extraction

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10

Academic Journal

Optimization and validation of ¹⁸F-DCFPyL PET radiomics-based machine learning models in intermediate- to high-risk primary prostate cancer.

Authors: Luining, Wietske I.^1,2 (AUTHOR) w.i.luining@amsterdamumc.nl, Oprea-Lager, Daniela E.² (AUTHOR), Vis, André N.¹ (AUTHOR), van Moorselaar, Reindert J. A.¹ (AUTHOR), Knol, Remco J. J.³ (AUTHOR), Wondergem, Maurits³ (AUTHOR), Boellaard, Ronald² (AUTHOR), Cysouw, Matthijs C. F.² (AUTHOR)

Superior Title: PLoS ONE. 11/9/2023, Vol. 18 Issue 11, p1-15. 15p.

Subject Terms: *MACHINE learning, *PROSTATE cancer, *FEATURE extraction, *RADICAL prostatectomy, *RADIOMICS

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11

Academic Journal

Using knowledge graphs and contrastive learning for detecting APT Malware on Endpoint systems.

Authors: Xuan, Cho Do¹ (AUTHOR) chodx@ptit.edu.vn, Nguyen, Hoa Dinh² (AUTHOR)

Superior Title: Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 3, p4517-4533. 17p.

Subject Terms: *MALWARE, KNOWLEDGE graphs, MACHINE learning, FEATURE extraction, ISOMORPHISMS

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12

Academic Journal

A hybrid model for text classification using part-of-speech features.

Authors: Zou, Wang¹ (AUTHOR) zouwang@huat.edu.cn, Zhang, Wubo¹ (AUTHOR), Tian, Zhuofeng² (AUTHOR), Wu, Wenhuan^1,3 (AUTHOR)

Superior Title: Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 1, p1235-1249. 15p.

Subject Terms: *ARTIFICIAL neural networks, MACHINE learning, FEATURE extraction

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13

Academic Journal

Prediction of Breast cancer using integrated machine learning-fuzzy and dimension reduction techniques.

Authors: Prusty, Sashikanta¹ (AUTHOR) sashi.prusty79@gmail.com, Das, Priti² (AUTHOR), Dash, Sujit Kumar³ (AUTHOR), Patnaik, Srikanta⁴ (AUTHOR), Prusty, Sushree Gayatri Priyadarsini¹ (AUTHOR)

Superior Title: Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 1, p1633-1652. 20p.

Subject Terms: BREAST cancer, MACHINE learning, PRINCIPAL components analysis, FUZZY logic, PYTHON programming language, FEATURE extraction, RANDOM forest algorithms

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14

Academic Journal

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence.

Authors: JACKY CAO^1,2 jacky.cao@oulu.fi, KIT-YUNG LAM³ kylambd@connect.ust.hk, LIK-HANG LEE⁴ likhang.lee@kaist.ac.kr, XIAOLI LIU⁵ xiaoli.liu@helsinki.fi, PAN HUI^2,4 pan.hui@helsinki.fi, XIANG SU^1,2 xiang.su@ntnu.no

Superior Title: ACM Computing Surveys. Sep2023, Vol. 55 Issue 9, p1-36. 36p.

Subject Terms: *USER interfaces, *FIELD research, *ARTIFICIAL intelligence, MACHINE learning, FEATURE extraction, DIGITAL technology, USER experience

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15

Academic Journal

Diagnosis of brain disease based on the deep learning algorithms of neural imaging techniques.

Authors: Wang, Qian¹ (AUTHOR) qian.wang00852963@hotmail.com

Superior Title: Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 4, p10201-10212. 12p.

Subject Terms: *ARTIFICIAL neural networks, MACHINE learning, DEEP learning, BRAIN diseases, FEATURE extraction, DIAGNOSIS

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16

Academic Journal

A New Comparative Approach Based on Features of Subcomponents and Machine Learning Algorithms to Detect and Classify Power Quality Disturbances.

Authors: Akkaya, Sıtkı¹ (AUTHOR) sakkaya@sivas.edu.tr, Yüksek, Emre² (AUTHOR) eyuksek@sivas.edu.tr, Akgün, Hasan Metehan³ (AUTHOR) hmakgun@sivas.edu.tr

Superior Title: Electric Power Components & Systems. 2024, Vol. 52 Issue 8, p1269-1292. 24p.

Subject Terms: *POWER quality disturbances, MACHINE learning, COMPARATIVE method, FEATURE extraction, K-nearest neighbor classification

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17

Academic Journal

Class‐imbalanced financial distress prediction with machine learning: Incorporating financial, management, textual, and social responsibility features into index system.

Authors: Song, Yinghua¹ (AUTHOR), Jiang, Minzhe¹ (AUTHOR), Li, Shixuan¹ (AUTHOR) shixuan.li@hotmail.com, Zhao, Shengzhe¹ (AUTHOR)

Superior Title: Journal of Forecasting. Apr2024, Vol. 43 Issue 3, p593-614. 22p.

Subject Terms: *ECONOMIC indicators, *DECISION trees, SOCIAL responsibility, MACHINE learning, BOOSTING algorithms, GENETIC algorithms, FEATURE extraction

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18

Academic Journal

Deep feature extraction, dimensionality reduction, and classification of medical images using combined deep learning architectures, autoencoder, and multiple machine learning models.

Authors: KİRAZ, Ahmet Hidayet¹ ahmethk@gmail.com, OUMAR DJIBRILLAH, Fatime¹, YÜKSEL, Mehmet Emin²

Superior Title: Turkish Journal of Electrical Engineering & Computer Sciences. 2023 Special Issue, Vol. 31, p1113-1128. 16p.

Subject Terms: *DEEP learning, *MACHINE learning, *COMPUTER-assisted image analysis (Medicine), *IMAGE recognition (Computer vision), *FEATURE extraction, *MEDICAL coding

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19

Academic Journal

Automated breast volume scanner based Radiomics for non-invasively prediction of lymphovascular invasion status in breast cancer.

Authors: Li, Yue¹ (AUTHOR), Wu, Xiaomin¹ (AUTHOR), Yan, Yueqiong¹ (AUTHOR), Zhou, Ping¹ (AUTHOR) zhouping1000@hotmail.com

Superior Title: BMC Cancer. 8/30/2023, Vol. 23 Issue 1, p1-10. 10p.

Subject Terms: *RADIOMICS, *MACHINE learning, *BREAST cancer, *SCANNING systems, *FEATURE extraction

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20

Academic Journal

Arabic spam tweets classification using deep learning.

Authors: Kaddoura, Sanaa¹ (AUTHOR) Sanaa.Kaddoura@zu.ac.ae, Alex, Suja A.² (AUTHOR), Itani, Maher³ (AUTHOR), Henno, Safaa¹ (AUTHOR), AlNashash, Asma⁴ (AUTHOR), Hemanth, D. Jude⁵ (AUTHOR)

Superior Title: Neural Computing & Applications. Aug2023, Vol. 35 Issue 23, p17233-17246. 14p.

Subject Terms: *MACHINE learning, *DEEP learning, *SPAM email, *ONLINE social networks, *SUPPORT vector machines, *FEATURE extraction

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