Recent Trends and Best Practices in Industry 4.0, Abhinav Sharma, Arpit Jain, Paawan Sharm

Автор: Ab Nasir Ahmad Fakhri, Ibrahim Ahmad Najmuddin, Ishak Ismayuzri
Название: Recent Trends in Mechatronics Towards Industry 4.0: Selected Articles from Im3f 2020, Malaysia
ISBN: 9813345969 ISBN-13(EAN): 9789813345966
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.

Автор: Acharjya Debi Prasanna, Mitra Anirban, Zaman Noor
Название: Deep Learning in Data Analytics: Recent Techniques, Practices and Applications
ISBN: 3030758540 ISBN-13(EAN): 9783030758547
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications.

Название: Industry 4.0, ai, and data science
ISBN: 0367562855 ISBN-13(EAN): 9780367562854
Издательство: Taylor&Francis
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Цена: 148010.00 T
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Описание: Varying from healthcare to social networking and everywhere hybrid models for Data Science, Al, and Machine Learning are being used. The book describes different theoretical and practical aspects and highlights how new systems are being developed.

Автор: Suguna S. Kanimozhi, Dhivya M., Paiva Sara
Название: Artificial Intelligence (AI): Recent Trends and Applications
ISBN: 036743136X ISBN-13(EAN): 9780367431365
Издательство: Taylor&Francis
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Цена: 168430.00 T
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Описание: This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions.

Автор: Ab. Nasir
Название: Recent Trends in Mechatronics Towards Industry 4.0
ISBN: 9813345993 ISBN-13(EAN): 9789813345997
Издательство: Springer
Рейтинг:
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents part of the iM3F 2020 proceedings from the Mechatronics track. It highlights key challenges and recent trends in mechatronics engineering and technology that are non-trivial in the age of Industry 4.0. It discusses traditional as well as modern solutions that are employed in the multitude spectra of mechatronics-based applications. The readers are expected to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.

Автор: Elisabetta Gualandri; Valeria Venturelli; Alex Scl
Название: Frontier Topics in Banking
ISBN: 303016294X ISBN-13(EAN): 9783030162948
Издательство: Springer
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Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The aim of this book is twofold: Firstly to focus on the development of new instruments and topics in the financial industry. Secondly to analyze the development of “old” themes applied to different international contexts, such as cross-border banking and the role of government financial resources in China. With these goals in mind, the book explores the investigation of new instruments for the financing of SMEs and new ventures, such as mini bonds and equity crowdfunding. Additionally, it covers the field of corporate governance and corporate social responsibility including financial inclusion, gender roles, disclosure, social media roles and litigation. The book also investigates the choices followed by the Royal Swedish Academy in the selection of Nobel laureates in economics science to analyze their influence on the financial industry. Geared to banking academics, researchers and students, this book uncovers the most prominent issues within the banking industry today.

Автор: Barbara Fl?gge
Название: Smart Mobility – Connecting Everyone
ISBN: 365815621X ISBN-13(EAN): 9783658156213
Издательство: Springer
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Цена: 60550.00 T
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Описание: This book presents a comprehensive overview of various aspects of mobility and transportation to be smart and seamless. Even more the fulfillment of the right to mobility for individual and cargo related mobility asks for mobility enablement in a predictive, digital and intermodal manner.

Автор: Anisha, P. R
Название: Intelligent Systems and Machine Learning for Industry
ISBN: 1032261447 ISBN-13(EAN): 9781032261447
Издательство: Taylor&Francis
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Цена: 158230.00 T
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Автор: Rautaray Siddharth Swarup, Pemmaraju Phani, Mohanty Hrushikesha
Название: Trends of Data Science and Applications: Theory and Practices
ISBN: 9813368144 ISBN-13(EAN): 9789813368149
Издательство: Springer
Цена: 130430.00 T
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Описание: This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc.

Автор: Gaurav Jaswal; Vivek Kanhangad; Raghavendra Ramachandra
Название: AI and Deep Learning in Biometric Security
ISBN: 0367422441 ISBN-13(EAN): 9780367422448
Издательство: Taylor&Francis
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Цена: 163330.00 T
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Описание: This book focuses on artificial intelligence and deep learning approaches, with case studies to solve problems associated with biometric security such as authentication, spoofing attack detection, and object detection.

Автор: Fujita Hamido, Fournier-Viger Philippe, Ali Moonis
Название: Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices: 33rd International Conference on Industrial, Engineering
ISBN: 303055788X ISBN-13(EAN): 9783030557881
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas.

These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis.

Автор: Fujita Hamido, Selamat Ali, Lin Jerry Chun
Название: Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices: 34th International Conference on Industrial, Engineering and Other
ISBN: 3030794563 ISBN-13(EAN): 9783030794569
Издательство: Springer
Цена: 93160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Knowledge Discovery and Pattern Mining.- Fast Mining of Top-k Frequent Balanced Association Rules.- Towards Increasing Open Data Adoption through Stream Data Integration and Imputation.- Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases.- Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning.- Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases.- A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets.- Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency.- Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds.- Artificial Intelligence and Machine Learning.- Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing.- Comparison of Consolidation Methods for Predictive Learning of Time Series.- Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification.- Understanding the Effects of Mitigation on De-identified Data.- Combining Siamese Network and Correlation Filter for Complementary Object Tracking.- Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines.- Explainable Reinforcement Learning with the Tsetlin Machine.- Sematic, Topology, and Ontology Models.- Semantic Technologies towards Missing Values Imputation.- An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures.- Automatic Classification for Ontology Generation by Pretrained Language Model.- Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion.- Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning.- Collaborative Maintenance of EDOAL Alignments in VocBench.- DIKG2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms.- Ontology-based Resume Searching System for Job Applicants in Information Technology.- An Approach to Expressing Metamodels' Semantics in a Concept System.- Medical and Health-Related Applications.- Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications.- Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning.- Deep Forecasting of COVID-19: Canadian Case Study.- COVID-19 Genome Analysis using Alignment-Free Methods.- Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images.- Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach.- Graphic and Social Network Analysis.- Configuration model of employee competences in a social media team.- The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer.- WawPart: Workload-Aware Partitioning of Knowledge Graphs.- Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms.- Signal and Bioinformatic Processing.- A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts.- Determining 2-Optimality Consensus for DNA structure.- Evolutionary Computation.- Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data.- Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance.- Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches.- Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms.- Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm.- Attack and Security.- Recent Research on Phishing Detection through Machine Learning Algorithm.- A Transaction Classification Model of F