Recent Trends and Best Practices in Industry 4.0, Abhinav Sharma, Arpit Jain, Paawan Sharm
Автор: Elisabetta Gualandri; Valeria Venturelli; Alex Scl Название: Frontier Topics in Banking ISBN: 303016294X ISBN-13(EAN): 9783030162948 Издательство: Springer Рейтинг: Цена: 20962.00 р. 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: Suguna S. Kanimozhi, Dhivya M., Paiva Sara Название: Artificial Intelligence (AI): Recent Trends and Applications ISBN: 036743136X ISBN-13(EAN): 9780367431365 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Barbara Fl?gge Название: Smart Mobility – Connecting Everyone ISBN: 365815621X ISBN-13(EAN): 9783658156213 Издательство: Springer Рейтинг: Цена: 9083.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: 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: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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
Автор: Rautaray Siddharth Swarup, Pemmaraju Phani, Mohanty Hrushikesha Название: Trends of Data Science and Applications: Theory and Practices ISBN: 9813368179 ISBN-13(EAN): 9789813368170 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications.
We often hear that AI is revolutionising the financial sector, like no other technology has done before. This book looks beyond these clich s and explores all aspects of this transformation at a deep level. It spells out a vision for the future and answers many questions that are routinely ignored.
What do we mean by Artificial Intelligence in finance? How do we move past the myths and misconceptions to reveal the key driving forces?
What are the industry trends that align with this transformation? Is it the explosion of digital touchpoints in retail, the reduced risk taking by investment banks, or the ascent of passive funds in asset management?
How do we develop concrete use cases from idea generation to production? How do we engineer systems to make accurate predictions, offer recommendations to clients, or analyse unstructured news data?
How do we build a successful data-driven organisation? What are the key pitfalls to avoid? Is it about culture, data governance, or management vision?
What are the risks specific to developing AI technologies? Can we humans understand and explain what the machines produce for us? Can we trust their predictions or actions?
What is the role of alternative data in all this? How can we put it to use for augmented insight?
What are the problems that AI is well equipped to solve? Is it all about neural networks and deep learning, as we regularly hear in the popular press? How do we understand human language, a task so important to the financial analyst?
The book is packed with concrete examples from the various disciplines of finance. Interested readers will also develop a deep understanding of AI algorithms - presented in plain English - and learn how to solve the most challenging problems. But first and foremost, it is a practical book that equips finance executives with everything they need to understand this transformation and to become agents of change themselves.
Автор: Ab. Nasir Название: Recent Trends in Mechatronics Towards Industry 4.0 ISBN: 9813345993 ISBN-13(EAN): 9789813345997 Издательство: Springer Рейтинг: Цена: 25155.00 р. 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: Gaurav Jaswal; Vivek Kanhangad; Raghavendra Ramachandra Название: AI and Deep Learning in Biometric Security ISBN: 0367422441 ISBN-13(EAN): 9780367422448 Издательство: Taylor&Francis Рейтинг: Цена: 24499.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Описание: This book constitutes the thoroughly refereed proceedings of the 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, held in Kitakyushu, Japan, in July 2022. The 67 full papers and 11 short papers presented were carefully reviewed and selected from 127 submissions.
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