Suchergebnisse - "machine-learning algorithms"

  1. 1

    On hyperparameter optimization of machine learning algorithms: Theory and practice von Yang, Li, Shami, Abdallah

    ISSN: 0925-2312, 1872-8286
    Veröffentlicht: Elsevier B.V 20.11.2020
    Veröffentlicht in Neurocomputing (Amsterdam) (20.11.2020)
    “… Machine learning algorithms have been used widely in various applications and areas …”
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  2. 2

    Water quality classification using machine learning algorithms von Nasir, Nida, Kansal, Afreen, Alshaltone, Omar, Barneih, Feras, Sameer, Mustafa, Shanableh, Abdallah, Al-Shamma'a, Ahmed

    ISSN: 2214-7144, 2214-7144
    Veröffentlicht: Elsevier Ltd 01.08.2022
    Veröffentlicht in Journal of water process engineering (01.08.2022)
    “… Monitoring water quality is essential for protecting human health and the environment and controlling water quality. Artificial Intelligence (AI) offers …”
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  3. 3

    Big data and machine learning algorithms for health-care delivery von Ngiam, Kee Yuan, Khor, Ing Wei

    ISSN: 1470-2045, 1474-5488, 1474-5488
    Veröffentlicht: England Elsevier Ltd 01.05.2019
    Veröffentlicht in The lancet oncology (01.05.2019)
    “… and classification, and survival predictions. Another advantage of machine learning algorithms is the ability to analyse diverse data types …”
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  4. 4

    Early diagnosis of Parkinson’s disease using machine learning algorithms von Karapinar Senturk, Zehra

    ISSN: 0306-9877, 1532-2777, 1532-2777
    Veröffentlicht: United States Elsevier Ltd 01.05.2020
    Veröffentlicht in Medical hypotheses (01.05.2020)
    “… Parkinson’s disease is caused by the disruption of the brain cells that produce substance to allow brain cells to communicate with each other, called dopamine …”
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  5. 5

    Crop Prediction Model Using Machine Learning Algorithms von Elbasi, Ersin, Zaki, Chamseddine, Topcu, Ahmet E., Abdelbaki, Wiem, Zreikat, Aymen I., Cina, Elda, Shdefat, Ahmed, Saker, Louai

    ISSN: 2076-3417, 2076-3417
    Veröffentlicht: Basel MDPI AG 01.08.2023
    Veröffentlicht in Applied sciences (01.08.2023)
    “… This research investigates the potential benefits of integrating machine learning algorithms in modern agriculture …”
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  6. 6

    Comparing different supervised machine learning algorithms for disease prediction von Uddin, Shahadat, Khan, Arif, Hossain, Md Ekramul, Moni, Mohammad Ali

    ISSN: 1472-6947, 1472-6947
    Veröffentlicht: London BioMed Central 21.12.2019
    Veröffentlicht in BMC medical informatics and decision making (21.12.2019)
    “… Background Supervised machine learning algorithms have been a dominant method in the data mining field …”
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  7. 7

    Robust machine learning algorithms for predicting coastal water quality index von Uddin, Md Galal, Nash, Stephen, Mahammad Diganta, Mir Talas, Rahman, Azizur, Olbert, Agnieszka I.

    ISSN: 0301-4797, 1095-8630, 1095-8630
    Veröffentlicht: Elsevier Ltd 01.11.2022
    Veröffentlicht in Journal of environmental management (01.11.2022)
    “… Coastal water quality assessment is an essential task to keep “good water quality” status for living organisms in coastal ecosystems. The Water quality index …”
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  8. 8

    Heart disease prediction using machine learning algorithms von Jindal, Harshit, Agrawal, Sarthak, Khera, Rishabh, Jain, Rachna, Nagrath, Preeti

    ISSN: 1757-8981, 1757-899X
    Veröffentlicht: Bristol IOP Publishing 01.01.2021
    “… Day by day the cases of heart diseases are increasing at a rapid rate and it's very Important and concerning to predict any such diseases beforehand. This …”
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  9. 9

    Improving prediction of water quality indices using novel hybrid machine-learning algorithms von Bui, Duie Tien, Khosravi, Khabat, Tiefenbacher, John, Nguyen, Hoang, Kazakis, Nerantzis

    ISSN: 0048-9697, 1879-1026, 1879-1026
    Veröffentlicht: Netherlands Elsevier B.V 15.06.2020
    Veröffentlicht in The Science of the total environment (15.06.2020)
    “… River water quality assessment is one of the most important tasks to enhance water resources management plans. A water quality index (WQI) considers several …”
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  10. 10

    Nowcasting GDP using machine-learning algorithms: A real-time assessment von Richardson, Adam, van Florenstein Mulder, Thomas, Vehbi, Tuğrul

    ISSN: 0169-2070, 1872-8200
    Veröffentlicht: Elsevier B.V 01.04.2021
    Veröffentlicht in International journal of forecasting (01.04.2021)
    “… Can machine-learning algorithms help central banks understand the current state of the economy …”
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  11. 11

    Predicting property prices with machine learning algorithms von Ho, Winky K.O., Tang, Bo-Sin, Wong, Siu Wai

    ISSN: 0959-9916, 1466-4453
    Veröffentlicht: Abingdon Routledge 02.01.2021
    Veröffentlicht in Journal of property research (02.01.2021)
    “… This study uses three machine learning algorithms including, support vector machine (SVM), random forest (RF …”
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  12. 12

    Clinical applications of machine learning algorithms: beyond the black box von Watson, David S, Krutzinna, Jenny, Bruce, Ian N, Griffiths, Christopher EM, McInnes, Iain B, Barnes, Michael R, Floridi, Luciano

    ISSN: 0959-8138, 1756-1833, 1756-1833
    Veröffentlicht: England BMJ Publishing Group LTD 12.03.2019
    Veröffentlicht in BMJ (Online) (12.03.2019)
    “… To maximise the clinical benefits of machine learning algorithms, we need to rethink our approach to explanation, argue David Watson and colleagues …”
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  13. 13

    Machine Learning: Algorithms, Real-World Applications and Research Directions von Sarker, Iqbal H.

    ISSN: 2662-995X, 2661-8907, 2661-8907
    Veröffentlicht: Singapore Springer Singapore 01.05.2021
    Veröffentlicht in SN computer science (01.05.2021)
    “… ), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area …”
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  15. 15

    Machine learning algorithms in sepsis von Agnello, Luisa, Vidali, Matteo, Padoan, Andrea, Lucis, Riccardo, Mancini, Alessio, Guerranti, Roberto, Plebani, Mario, Ciaccio, Marcello, Carobene, Anna

    ISSN: 0009-8981, 1873-3492, 1873-3492
    Veröffentlicht: Netherlands Elsevier B.V 15.01.2024
    Veröffentlicht in Clinica chimica acta (15.01.2024)
    “… •Machine learning models are promising for the early diagnosis and prognosis of sepsis.•There is still high heterogeneity among studies.•The appropriate …”
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  16. 16

    Machine learning algorithms for monitoring pavement performance von Cano-Ortiz, Saúl, Pascual-Muñoz, Pablo, Castro-Fresno, Daniel

    ISSN: 0926-5805, 1872-7891
    Veröffentlicht: Amsterdam Elsevier B.V 01.07.2022
    Veröffentlicht in Automation in construction (01.07.2022)
    “… This work introduces the need to develop competitive, low-cost and applicable technologies to real roads to detect the asphalt condition by means of Machine …”
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  17. 17

    Machine learning algorithms for wireless sensor networks: A survey von Praveen Kumar, D., Amgoth, Tarachand, Annavarapu, Chandra Sekhara Rao

    ISSN: 1566-2535, 1872-6305
    Veröffentlicht: Elsevier B.V 01.09.2019
    Veröffentlicht in Information fusion (01.09.2019)
    “… •The survey of machine learning algorithms for WSNs from the period 2014 to March 2018.•Machine learning (ML …”
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  18. 18

    Evapotranspiration evaluation models based on machine learning algorithms—A comparative study von Granata, Francesco

    ISSN: 0378-3774, 1873-2283
    Veröffentlicht: Elsevier B.V 20.05.2019
    Veröffentlicht in Agricultural water management (20.05.2019)
    “… •Four variants of each model were applied, varying the machine learning algorithm.•M5P Regression Tree, Bagging, Random Forest and Support Vector Regression were used …”
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  19. 19

    Validation of machine learning algorithms von Burzykowski, Tomasz, Geubbelmans, Melvin, Rousseau, Axel-Jan, Valkenborg, Dirk

    ISSN: 0889-5406, 1097-6752, 1097-6752
    Veröffentlicht: United States Elsevier Inc 01.08.2023
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  20. 20

    Machine learning algorithms to forecast air quality: a survey von Méndez, Manuel, Merayo, Mercedes G., Núñez, Manuel

    ISSN: 0269-2821, 1573-7462
    Veröffentlicht: Dordrecht Springer Netherlands 01.09.2023
    Veröffentlicht in The Artificial intelligence review (01.09.2023)
    “… Air pollution is a risk factor for many diseases that can lead to death. Therefore, it is important to develop forecasting mechanisms that can be used by the …”
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