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Combinatorial algorithms.

• Authors : Hu, T. C. (Te Chiang), 1930-; Shing, Man-tak, 1953-

Subjects: Combinatorial analysis -- Data processing; Operations research -- Data processing; Computer algorithms

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Applied Science & Technology Full Text (H.W. Wilson)

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Comparison of machine learning algorithms for the classification of spinal cord tumor.

• Authors : Garg S; Department of Electronics & Communication Engineering, ATME College of Engineering, Mysuru, India. .; Raghavan B

Subjects: Algorithms* ; Spinal Cord Neoplasms*/Spinal Cord Neoplasms*/Spinal Cord Neoplasms*/diagnostic imaging; Humans

• Source: Irish journal of medical science [Ir J Med Sci] 2024 Apr; Vol. 193 (2), pp. 571-575. Date of Electronic Publication: 2023 Aug 19.Publisher: Royal Academy of Medicine of Ireland Country of Publication: Ireland NLM ID: 7806864 Publication Model: Print-Electronic Cited Medium:

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Optimizing neural network algorithms for submerged membrane bioreactor: A comparative study of OVAT and RSM hyperparameter optimization techniques.

• Authors : Ibrahim S; Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia.; Abdul Wahab N

Subjects: Neural Networks, Computer* ; Algorithms*; Computer Simulation

• Source: Water science and technology : a journal of the International Association on Water Pollution Research [Water Sci Technol] 2024 Apr; Vol. 89 (7), pp. 1701-1724. Date of Electronic Publisher: IWA Publishing Country of Publication: England NLM ID: 9879497 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0273-1223

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Regulation of AI algorithms for clinical decision support: a personal opinion.

• Authors : Kandarpa K; Research Sciences and Strategy, National Institutes of Biomedical Imaging and Bioengineering, The US National Institutes of Health, Bethesda, MD, 20892, USA. .

Subjects: Algorithms* ; Decision Support Systems, Clinical*; Humans

• Source: International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2024 Apr; Vol. 19 (4), pp. 609-611. Date of Electronic Publication: 2024 Mar 13.Publisher: Springer Country of Publication: Germany NLM ID: 101499225 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1861-6429

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Decoding Pediatric Cough: Navigating the Path to Effective Management with Standard Algorithms.

• Authors : Manoharan A; Department of Pediatrics, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India.; Jat KR

Subjects: Algorithms* ; Cough*; Child

• Source: Indian journal of pediatrics [Indian J Pediatr] 2024 Apr; Vol. 91 (4), pp. 321-322. Date of Electronic Publication: 2024 Jan 04.Publisher: Dr. K. C. Chaudhuri Foundation, co-published by Springer India Country of Publication: India NLM ID: 0417442 Publication Model: Print-Electronic

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Comparing community detection algorithms in psychometric networks: A Monte Carlo simulation.

• Authors : Christensen AP; Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, 37203, USA. .; Garrido LE

Subjects: Algorithms*; Humans ; Monte Carlo Method

• Source: Behavior research methods [Behav Res Methods] 2024 Mar; Vol. 56 (3), pp. 1485-1505. Date of Electronic Publication: 2023 Jun 02.Publisher: Springer Country of Publication: United States NLM ID: 101244316 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Automated discovery of algorithms from data.

• Authors : Blazek PJ; Green Center for Systems Biology, University of Texas Southwestern Medical Center, Dallas, TX, USA.; Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Subjects: Artificial Intelligence* ; Algorithms*; Humans

• Source: Nature computational science [Nat Comput Sci] 2024 Feb; Vol. 4 (2), pp. 110-118. Date of Electronic Publication: 2024 Feb 19.Publisher: Springer Nature Country of Publication: United States NLM ID: 101775476 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Land subsidence susceptibility mapping: a new approach to improve decision stump classification (DSC) performance and combine it with four machine learning algorithms.

• Authors : Zhao R; School of Energy and Power Engineering, Xihua University, Chengdu, 610039, China.; Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu, 610039, China.

Subjects: Algorithms* ; Groundwater*; Bayes Theorem

• Source: Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Feb; Vol. 31 (10), pp. 15443-15466. Date of Electronic Publication: 2024 Feb 01.Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499

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Identification of population-informative markers from high-density genotyping data through combined feature selection and machine learning algorithms: Application to European autochthonous and cosmopolitan pig breeds.

• Authors : Schiavo G; Animal and Food Genomics Group, Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy.; Bertolini F

Subjects: Genome* ; Algorithms*; Swine/Swine/Swine/genetics

• Source: Animal genetics [Anim Genet] 2024 Apr; Vol. 55 (2), pp. 193-205. Date of Electronic Publication: 2024 Jan 08.Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 8605704 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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