Search Results - "neural networks"

10th Anniversary of Plants-Recent Advances and Perspectives Volume I

Subjects: “…generalized regression neural network…”
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10th Anniversary of Plants-Recent Advances and Perspectives Volume II

Subjects: “…generalized regression neural network…”
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10th Anniversary of Plants-Recent Advances and Perspectives Volume III

Subjects: “…generalized regression neural network…”
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Analysis of Facebook in the Teaching-Learning Process about Mathematics Through Data Science by Ricardo-Adán

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Scope and performance of artificial intelligence technology in orthodontic diagnosis, treatment planning, and clinical decision-making - A systematic review by Sanjeev B. Khanagar, Ali Al-Ehaideb, Satish Vishwanathaiah, Prabhadevi C. Maganur, Shankargouda Patil, Sachin Naik, Hosam A. Baeshen, Sachin S. Sarode

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Unleashing the power of artificial intelligence for diagnosing and treating infectious diseases: A comprehensive review by Ali A. Rabaan, Muhammed A. Bakhrebah, Jawaher Alotaibi, Zuhair S. Natto, Rahaf S. Alkhaibari, Eman Alawad, Huda M. Alshammari, Sara Alwarthan, Mashael Alhajri, Mohammed S. Almogbel, Maha H. Aljohani, Fadwa S. Alofi, Nada Alharbi, Wasl Al-Adsani, Abdulrahman M. Alsulaiman, Jehad Aldali, Fatimah Al Ibrahim, Reem S. Almaghrabi, Awad Al-Omari, Mohammed Garout

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Machine learning methods as an aid in planning orthodontic treatment on the example of Cone-Beam Computed Tomography analysis: a literature review by Szymon Płotka, Tomasz Włodarczyk, Ryszard Szczerba, Anna Chomiak, Oskar Komisarek

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Early diagnosis of skin oncologic diseases using artificial intelligence technologies by Simon О. Samokhin, Alexander V. Patrushev, Yulia I. Akaeva, Sergei A. Parfenov, Gennadii G. Kutelev

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Developments, application, and performance of artificial intelligence in dentistry - A systematic review by Sanjeev B. Khanagar, Ali Al-ehaideb, Prabhadevi C. Maganur, Satish Vishwanathaiah, Shankargouda Patil, Hosam A. Baeshen, Sachin C. Sarode, Shilpa Bhandi

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Machine learning approaches to the social determinants of health in the health and retirement study by Benjamin Seligman, Shripad Tuljapurkar, David Rehkopf

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Review of machine learning algorithms' application in pharmaceutical technology by Đuriš Jelena, Kurćubić Ivana, Ibrić Svetlana

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Demystifying artificial intelligence and deep learning in dentistry by Jonas Almeida RODRIGUES, Joachim KROIS, Falk SCHWENDICKE

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Paediatric Medicinal Formulation Development: Utilising Human Taste Panels and Incorporating Their Data into Machine Learning Training by Okhee Yoo, Britta S. von Ungern-Sternberg, Lee Yong Lim

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Multivariate Statistical Machine Learning Methods for Genomic Prediction by Montesinos López, Osval Antonio, Montesinos López, Abelardo, Crossa, José

Table of Contents: “…Preface -- Chapter 1 -- General elements of genomic selection and statistical learning -- Chapter. 2 -- Preprocessing tools for data preparation -- Chapter. 3 -- Elements for building supervised statistical machine learning models -- Chapter. 4 -- Overfitting, model tuning and evaluation of prediction performance -- Chapter. 5 -- Linear Mixed Models -- Chapter. 6 -- Bayesian Genomic Linear Regression -- Chapter. 7 -- Bayesian and classical prediction models for categorical and count data -- Chapter. 8 -- Reproducing Kernel Hilbert Spaces Regression and Classification Methods -- Chapter. 9 -- Support vector machines and support vector regression -- Chapter. 10 -- Fundamentals of artificial neural networks and deep learning -- Chapter. 11 -- Artificial neural networks and deep learning for genomic prediction of continuous outcomes -- Chapter. 12 -- Artificial neural networks and deep learning for genomic prediction of binary, ordinal and mixed outcomes -- Chapter. 13 -- Convolutional neural networks -- Chapter. 14 -- Functional regression -- Chapter. 15 -- Random forest for genomic prediction.…”
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VCNet: Hybrid Deep Learning Model for Detection and Classification of Lung Carcinoma Using Chest Radiographs by Ritu Tandon, Shweta Agrawal, Arthur Chang, Shahab S. Band

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Artificial Intelligence in Dental Caries Diagnosis and Detection: An Umbrella Review by Sapna Negi, Ankita Mathur, Snehasish Tripathy, Vini Mehta, Niher Tabassum Snigdha, Abdul Habeeb Adil, Mohmed Isaqali Karobari

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Machine Learning Enables Accurate and Rapid Prediction of Active Molecules Against Breast Cancer Cells by Shuyun He, Shuyun He, Duancheng Zhao, Duancheng Zhao, Yanle Ling, Yanle Ling, Hanxuan Cai, Hanxuan Cai, Yike Cai, Jiquan Zhang, Ling Wang, Ling Wang

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A comprehensive review of the recent advances on predicting drug-target affinity based on deep learning by Xin Zeng, Shu-Juan Li, Shuang-Qing Lv, Meng-Liang Wen, Yi Li

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Justification for the creation of intelligent programs for early diagnosis, lung cancer phenotyping and treatment effectiveness assessment by M.I. Lynnyk, G.L. Gumeniuk, V.I. Ignatieva, I.V. Liskina

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DPB-NBFnet: Using neural Bellman-Ford networks to predict DNA-protein binding by Jing Li, Linlin Zhuo, Xinze Lian, Shiyao Pan, Lei Xu

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