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Academic Journal

Boulder falls in Hong Kong — insights from power law relationships and supervised machine learning.

Authors : Wong, Louis Ngai Yuen¹ (AUTHOR); Zhou, Yimeng¹ (AUTHOR)

Source: Landslides. Sep2021, Vol. 18 Issue 9, p3227-3253. 27p.

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Academic Journal

Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework.

Authors : Champer, Samuel E.¹ (AUTHOR); Oakes, Nathan¹ (AUTHOR); Sharma, Ronin¹ (AUTHOR)

Source: PLoS Computational Biology. 12/29/2021, Vol. 17 Issue 12, p1-37. 37p. 1 Color Photograph, 1 Diagram, 3 Charts, 12 Graphs.

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Academic Journal

Supervised machine learning classification algorithms for detection of fracture location in dissimilar friction stir welded joints.

Authors : Mishra, Akshansh¹ ; Vats, Apoorv²

Source: Fracture & Structural Integrity. Oct2021, Vol. 15 Issue 58, p242-253. 12p.

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Academic Journal

Comparative Study of Supervised Machine Learning Algorithms on Thoracic Surgery Patients based on Ranker Feature Algorithms.

Authors : Abdulhadi, Hezha M. Tareq¹ ; Talabani, Hardi Sabah²

Source: UHD Journal of Science & Technology. Jul2021, Vol. 5 Issue 2, p66-74. 9p.

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Academic Journal

Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks.

Authors : Palukuri, Meghana Venkata¹ (AUTHOR) ; Marcotte, Edward M.² (AUTHOR)

Source: PLoS ONE. 12/31/2021, Vol. 16 Issue 12, p1-23. 23p.

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Academic Journal

Supervised Machine Learning Techniques: An Overview with Applications to Banking.

Authors : Hu, Linwei¹ (AUTHOR); Chen, Jie¹ (AUTHOR); Vaughan, Joel¹ (AUTHOR)

Source: International Statistical Review. Dec2021, Vol. 89 Issue 3, p573-604. 32p.

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Academic Journal

Genes and regulatory mechanisms associated with experimentally-induced bovine respiratory disease identified using supervised machine learning methodology.

Authors : Scott, Matthew A.¹ (AUTHOR) ; Woolums, Amelia R.² (AUTHOR); Swiderski, Cyprianna E.² (AUTHOR)

Source: Scientific Reports. 11/25/2021, Vol. 11 Issue 1, p1-11. 11p.

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Academic Journal

NIC: An innovative supervised machine learning computational framework having network‐based interactional connections.

Authors : Mirrashid, Alireza¹ (AUTHOR); Shirazi, Ali‐Asghar Beheshti² (AUTHOR)

Source: Computational Intelligence. Nov2021, Vol. 37 Issue 4, p1916-1943. 28p.

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Academic Journal

A comprehensive appraisal of evolutionary diversity in venomous Asian coralsnakes of the genus Sinomicrurus (Serpentes: Elapidae) using Bayesian coalescent inference and supervised machine learning.

Authors : Smart, Utpal^1,2 (AUTHOR); Ingrasci, Matthew J.² (AUTHOR); Sarker, Goutam C.² (AUTHOR)

Source: Journal of Zoological Systematics & Evolutionary Research. Nov2021, Vol. 59 Issue 8, p2212-2277. 66p.

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Academic Journal

Classification of Network Traffic Using Supervised Machine Learning Algorithms Within NFV Environment.

Authors : Ilievski, Gjorgji¹ ; Latkoski, Pero²

Source: Serbian Journal of Electrical Engineering. Jun2021, Vol. 18 Issue 2, p237-254. 18p.

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فلترة النتائج

Boulder falls in Hong Kong — insights from power law relationships and supervised machine learning.

Modeling CRISPR gene drives for suppression of invasive rodents using a supervised machine learning framework.

Supervised machine learning classification algorithms for detection of fracture location in dissimilar friction stir welded joints.

Comparative Study of Supervised Machine Learning Algorithms on Thoracic Surgery Patients based on Ranker Feature Algorithms.

Super.Complex: A supervised machine learning pipeline for molecular complex detection in protein-interaction networks.

Supervised Machine Learning Techniques: An Overview with Applications to Banking.

Genes and regulatory mechanisms associated with experimentally-induced bovine respiratory disease identified using supervised machine learning methodology.

NIC: An innovative supervised machine learning computational framework having network‐based interactional connections.

A comprehensive appraisal of evolutionary diversity in venomous Asian coralsnakes of the genus Sinomicrurus (Serpentes: Elapidae) using Bayesian coalescent inference and supervised machine learning.

Classification of Network Traffic Using Supervised Machine Learning Algorithms Within NFV Environment.

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