Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data, Berthold Michael R., Borgelt Christian, Hцppner Frank
Автор: Dr. Andreas Bortfeldt; Prof. Dr. J?rg Homberger; P Название: Intelligent Decision Support - Intelligente Entscheidungsunterst?tzung ISBN: 3834909300 ISBN-13(EAN): 9783834909305 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Der Sammelband vereinigt Beitrage von uber 50 Autorinnen und Autoren aus Wirtschaftswissenschaft, Informatik und Mathematik zu aktuellen und grundA - legenden Problemen und Losungsansatzen der intelligenten EntscheidungsA - unterstutzung in Unternehmen und erscheint zum 65.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.
The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.
Автор: Jorg Verstraete Название: Artificial Intelligent Methods for Handling Spatial Data ISBN: 3030002373 ISBN-13(EAN): 9783030002374 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data. It introduces the necessary concepts from spatial data processing and fuzzy rulebase systems and describes the issues experienced when using current regridding algorithms. The main focus of the book is on describing the different modifications needed to make the problem compatible with fuzzy rulebases. It offers a number of examples of out-of-the box thinking to handle aspects such as rulebase construction, defuzzification, spatial data comparison, etc. At first, the emphasis is put on the newly developed method, and additional datasets containing information on the underlying spatial distribution of the data are identified. After this, an artificial intelligent system (in the form of a fuzzy inference system) is constructed using this knowledge and then applied on the input data to perform the regridding. The book offers an example of how an apparently simple problem can pose many different challenges, even when trying to solve it with existing soft computing technologies. The workflow and solutions to solve these challenges are universal and may therefore be broadly applied into other contexts.
Автор: Sara Moridpour Название: Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities ISBN: 1522579435 ISBN-13(EAN): 9781522579434 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 160770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods.Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.
Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general.
This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply.
Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y. Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation ISBN: 9811557713 ISBN-13(EAN): 9789811557712 Издательство: Springer Рейтинг: Цена: 167700.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.
Автор: Singh Madhusudan, Kang Dae-Ki, Lee Jong-Ha Название: Intelligent Human Computer Interaction: 12th International Conference, Ihci 2020, Daegu, South Korea, November 24-26, 2020, Proceedings, Part II ISBN: 3030684512 ISBN-13(EAN): 9783030684518 Издательство: Springer Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Intelligent Usability and Test System.- IoT System for Monitoring a Large-Area Environment Sensors and Control Actuators using Real-Time Firebase Database.- A Method for Localizing and Grasping Objects in a Picking Robot System Using Kinect Camera.- A comparative analysis on the impact of face tracker and skin segmentation onto improving the performance of real-time remote photoplethysmography.- Fuzzy-PID-Based Improvement Controller for CNC Feed Servo System.- Plastic Optical Fiber Sensors Based on In-Line Micro-holes: A Review.- Long-Distance Real-Time Rolling Shutter Optical Camera Communication Using MFSK Modulation Technique.- A Systematic Review of Augmented Reality in Multimedia Learning Outcomes in Education.- RFID Technology for UOH Health Care Center.- An IOT based smart drain monitoring system with alert messages.- Design and Implementation of a Safety Device for Emergency Situations using Arduino and GSM Module.- Design and Implementation of an IoT System for Predicting Aqua Fisheries using Arduino and KNN.- A Fast and Secure Uniform Handover Authentication Scheme For 5G HetNets.- Assistive Living.- An Automated Wheelchair for Physically Challenged People using Hand Gesture and Mobile App.- Gait analysis using video for disabled people in marginalized communities.- Implementation of CNN Model for Classification of User Sitting Posture Based on Pressure Distribution.- Implementation of Rehabilitation Exercise Posture Determination System based on CNN using EMG and Acceleration Sensors.- Grabbing Pedestrian Attention with Interactive Signboard for Street Advertising.- Requirements for Upper-limb Rehabilitation with FES and Exoskeleton.- Development of Biosensor for Pressure Sores Diagnosis and Treatment Using Bio Photonics with Impedance.- Sustainably Stemming the Nursing Care Crisis in Germany.- First Eye tracking Results of Dutch Corona Melder Contact Tracing and Notification App.- Architecture of an IoT and Blockchain Based Medication Adherence Management System.- Image Processing and Deep Learning.- Face anti-spoofing based on deep neural network using brightness augmentation.- Face Spoofing Detection Using DenseNet.- 1-Stage Face Landmark Detection using Deep Learning.- Image identification of multiple parrot species belonging to CITES using deep neural networks.- Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning.- Adaptive margin-based liveness detection for face recognition.- A study on a Mask R-CNN-based diagnostic system measuring DDH angles on ultrasound scans.- Comparison of SVM and Random Forest Methods for Online Signature Verification.- Human-Centered AI Applications.- Audio Augmented Reality using Unity for Marine Tourism.- A Prototype Wristwatch Device for Monitoring Vital Signs Using Multi-wavelength Photoplethysmography Sensors.- User Perception on an Artificial Intelligence Counseling App.- Authentication of Facial Images with Masks using Periocular Biometrics.- Analysis of user preference of AR head-up display using Attrakdiff.- IoT-Enabled Mobile Device for Electrogastrography Signal Processing.- A study on the usability test method of collaborative robot based on ECG Measurement.- The Human Factor Assessment of Consumer Air Purifier Panel Using Eye Tracking Device.- AI-based Voice Assistants Technology Comparison in Term of Conversational and Response Time.- HCI Based In-Cabin Monitoring System for Irregular Situations with Occupants Facial Anonymization.- Achievement of generic and professional competencies through virtual environments.- AARON: Assistive Augmented Reality Operations and Navigation System for NASA's Exploration Extravehicular Mobility Unit (xEMU*).- Socio-Cognitive Interaction between Human and Computer/Robot for HCI 3.0.
Автор: Kumar, Pardeep, Singh, Amit Kumar Название: Machine Learning for Intelligent Multimedia Analytics ISBN: 9811594910 ISBN-13(EAN): 9789811594915 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Chapter 1. Secure Multimodal Access with 2D and 3D Ears.- Chapter 2. Efficient and Low Overhead Detection of Brain Diseases using Deep Learning based Sparse MRI Image Classification.- Chapter 3. Continual Deep Learning Framework for Medical Media Screening and Archival.- Chapter 4. KannadaRes-NeXt: a Deep Residual Network for Kannada Numeral Recognition.- Chapter 5. Secure Image Transmission in Wireless Network using Conventional Neural Network and DOST.- Chapter 6. Robust General Twin Support Vector Machine with Pinball Loss Function.- Chapter 7. Noise Resilient Thresholding based on Fuzzy Logic and Non-linear Filtering.- Chapter 8. Deep Learning Methods for Audio Events Detection.- Chapter 9. A Framework for Multi-lingual Scene Text Detection using K-means++ and Memetic Algorithms.- Chapter 10. Recent Advancements in Medical Imaging: A Machine Learning Approach.- Chapter 11. Solving Image Processing Critical Problems using Machine Learning.- Chapter 12. Spoken Language Identification of Indian Languages using MFCC Features.- Chapter 13. Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring.- Chapter 14. Brain Tumor Classification in MRI Images using Transfer Learning.- Chapter 15. Semantic based Vectorization Technique for Hindi Language.
Автор: Curry Edward Название: Real-Time Linked Dataspaces: Enabling Data Ecosystems for Intelligent Systems ISBN: 3030296679 ISBN-13(EAN): 9783030296674 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems.
Автор: Emilio Corchado; Hujun Yin Название: Intelligent Data Engineering and Automated Learning - IDEAL 2009 ISBN: 3642043933 ISBN-13(EAN): 9783642043932 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
This two-volume set LNCS 11314 and 11315 constitutes the thoroughly refereed conference proceedings of the 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018, held in Madrid, Spain, in November 2018. The 125 full papers presented were carefully reviewed and selected from 204 submissions. These papers provided a timely sample of the latest advances in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
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