Robotics Legal, Ethical and Socioeconomic Impacts

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MESIN REKOMENDASI FILM MENGGUNAKAN METODE DEEPAUTOENCODER by Muhamad Adie Maulana, -

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Creation of an artificial intelligence system for analysis of theoretical Current-Voltage Curves by AV Kovalenko, MKh Urtenov

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A useful taxonomy for adversarial robustness of Neural Networks by Leslie N Smith

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CNN comparisons models on dyslexia handwriting classification / Iza Sazanita Isa ... [et al.] by Isa, Iza Sazanita, Zahir, Muhammad Aiman, Ramlan, Siti Azura, Wang, Li-Chih, Sulaiman, Siti Noraini

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Artificial Intelligence Oceanography

Table of Contents: “…Theory and technology of artificial intelligence for oceanography -- Satellite data-driven internal wave forecast model based on machine learning techniques -- Detection and analysis of marine macroalgae based on artificial intelligence -- Tropical cyclone intensity estimation from geostationary satellite imagery -- Reconstructing marine environmental data based on deep learning -- Detecting oceanic processes from space-borne sar imagery using machine learning -- Deep convolutional neural networks-based coastal inundation mapping for un-defined least developed countries: taking madagascar and mozambique as examples -- Ai- based mesoscale eddy study -- Classifying sea ice types from sar images based on deep fully convolutional networks -- Detecting ships and extracting ship's size from SAR images based on deep learning -- Quality control of ocean temperature and salinity data based on machine learning technology -- automatic extraction of internal wave signature from multiple satellite sensors based on deep convolutional neural networks -- Automatic extraction of waterlines from large-scale tidal flats on SAR images and applications based on deep convolutional neural networks -- Forecast of tropical instability waves using deep learning -- Sea surface height prediction based on artificial intelligence.…”
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Data Science, Data Visualization, and Digital Twins

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RANCANG BANGUN APLIKASI FAKE NEWS DETECTOR MENGGUNAKAN METODE LONG SHORT TERM MEMORY by Bisma Wahyu Anaafie, -

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IMPLEMENTASI EDUCATIONAL DATA MINING UNTUK KLASIFIKASI KONSENTRASI PADA PROGRAM STUDI PENDIDIKAN TEKNIK ELEKTRO by Dani Akbar Nopia, -

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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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Manifold Learning Model Reduction in Engineering / by Ryckelynck, David, Casenave, Fabien, Akkari, Nissrine

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IDENTIFIKASI PENYAKIT TANAMAN TOMAT MELALUI DAUN DENGAN METODE CONVOLUTIONAL NEURAL NETWORK ARSITEKTUR SQUEEZENET by Akbar Hidayatuloh, -

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Artificial Intelligence and Cognitive Science 30th Irish Conference, AICS 2022, Munster, Ireland, December 8-9, 2022, Revised Selected Papers /

Table of Contents: “…Machine Learning, Deep Learning and applications -- Responsible and Trustworthy Artificial Intelligence -- Natural Language Processing and Recommender Systems -- Knowledge Representation, reasoning, Optimisation and intelligent applications.…”
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Artificial Intelligence Technology by Huawei Technologies Co., Ltd

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Machine Learning for Brain Disorders

Table of Contents: “…A Non-Technical Introduction to Machine Learning -- Classic Machine Learning Methods -- Deep Learning: Basics and Convolutional Neural Networks (CNN) -- Recurrent Neural Networks (RNN) - Architectures, Training Tricks, and Introduction to Influential Research -- Generative Adversarial Networks and Other Generative Models -- Transformers and Visual Transformers -- Clinical Assessment of Brain Disorders -- Neuroimaging in Machine Learning for Brain Disorders -- Electroencephalography and Magnetoencephalography -- Working with Omics Data, An Interdisciplinary Challenge at the Crossroads of Biology and Computer Science -- Electronic Health Records as Source of Research Data -- Mobile Devices, Connected Objects, and Sensors -- Medical Image Segmentation using Deep Learning -- Image Registration: Fundamentals and Recent Advances Based on Deep Learning -- Computer-Aided Diagnosis and Prediction in Brain Disorders -- Subtyping Brain Diseases from Imaging Data -- Data-Driven Disease Progression Modelling -- Computational Pathology for Brain Disorders -- Integration of Multimodal Data -- Evaluating Machine Learning Models and their Diagnostic Value -- Reproducibility in Machine Learning for Medical Imaging -- Interpretability of Machine Learning Methods Applied to Neuroimaging -- A Regulatory Science Perspective on Performance Assessment of Machine Learning Algorithms in Imaging -- Main Existing Datasets for Open Brain Research on Humans -- Machine Learning for Alzheimer's Disease and Related Dementias -- Machine Learning for Parkinson's Disease and Related Disorders -- Machine Learning in Neuroimaging of Epilepsy -- Machine Learning in Multiple Sclerosis -- Machine Learning for Cerebrovascular Disorders -- The Role of Artificial Intelligence in Neuro-Oncology Imaging -- Machine Learning for Neurodevelopmental Disorders -- Machine Learning and BrainImaging for Psychiatric Disorders: New Perspectives.…”
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Artificial Intelligence Technology by Huawei Technologies Co., Ltd

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Enhancing Imbalanced Dataset by Utilizing (K-NN Based SMOTE_3D Algorithm) by Khaldoon Alshouiliy, Sujan Ray, Ali AlGhamdi, Dharma P Agrawal

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Talent Recruiting Innovations and High Start-Ups by Sehar Shahzad Farooq, Irfan Mehmood, Soon Ki Jung

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Blockchain Applications Transforming Industries, Enhancing Security, and Addressing Ethical Considerations

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Advances in Machine Learning and Mathematical Modeling for Optimization Problems

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