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Interactive Mobile Communication Technologies and Learning Proceedings of the 11th IMCL Conference /

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Deep Reinforcement Learning for Wireless Networks by Yu, F. Richard, He, Ying

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Practical deep learning for cloud, mobile, and edge : real-world ai & computer-vision projects using Python, Keras & TensorFlow/ by Koul, Anirudh

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Evolution Mechanism on Structural Characteristics of Lead-Contaminated Soil in the Solidification/Stabilization Process by Li, Jiang-shan

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Learning-based VANET Communication and Security Techniques by Xiao, Liang, Zhuang, Weihua, Zhou, Sheng, Chen, Cailian

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Lead-Free Piezoelectrics. by Priya, Shashank

Table of Contents: “…Intro -- Part I: Domain Engineering and Phase Transformations -- Chapter 1: Domain Engineering and Phase Transformations -- 1.1 Introduction -- 1.1.1 Enhanced Piezoelectric Properties by an MPB -- 1.1.2 Discovery of Bridging Monoclinic Phase in PZT Ceramics -- 1.1.3 Phase Stability Dependence of Thermal and Electrical History in PMN-PT Single Crystals -- 1.1.4 Polarization Rotation Theory and Ferroelectric Adaptive Phase Theory -- 1.2 Domain Engineering and Phase Transformations in Lead-Free Piezoelectric Materials -- 1.2.1 Background -- 1.2.2 Na0.5Bi0.5TiO3-Based Solid Solutions -- 1.2.2.1 Domain Hierarchy in Na0.5Bi0.5TiO3 Single Crystals -- 1.2.2.2 Influence of Mn-Doping on the Structure and Properties of NBT Single Crystals -- 1.2.2.3 Influence of dc-Bias on Phase Stability in Mn-Doped Na0.5Bi0.5TiO3-5.6at%BaTiO3 Single Crystals -- 1.2.2.4 Domain Structure Evolution in Na0.5Bi0.5TiO3-x%BaTiO3 (NBT-x%BT, x=0, 4.5 and 5.5) Single Crystals -- 1.2.3 Monoclinic MC Phase in [001] Field Cooled BaTiO3 Single Crystals -- References -- Chapter 2: Ferroelectric Domains and Grain Engineering in SrBi2Ta2O9 -- 2.1 Introduction -- 2.2 SBT Single Crystals: Flux Growth and Characterization -- 2.2.1 Crystal Structure and Morphology -- 2.2.1.1 X-Ray Topography Analysis -- 2.2.2 Ferroelectric Domains, Twinning and Effective Disclinations -- 2.2.2.1 Rocking Curves in a Wide Scanning Range -- 2.2.2.2 Piezoresponse Force Microscopy: 180 and 90 Domains -- 2.2.3 Anisotropy in the Ferroelectric and Piezoelectric Properties -- 2.2.3.1 Dielectric Characterization -- 2.2.3.2 Ferroelectric Characterization -- 2.2.3.3 Piezoelectric Characterization -- 2.3 Grain Oriented SBT Ceramics by Templated Grain Growth -- 2.3.1 X-Ray Characterization: Lotgering Factor -- 2.3.2 Microstructure Evolution and Texture Analysis -- 2.3.2.1 Nucleation of Anisometric Grains.…”
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Mobile technologies in children's language and literacy : innovative pedagogy in preschool and primary education /

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Academic mobility

Table of Contents: “…[et al.] -- Global academics moving down under : living and learning a new academic culture / Nina Maadad -- English and the academy for African skilled migrants : the impact of English as an 'academic lingua franca' / Ellen Hurst -- Academic expatriation : experiences from within the United Arab Emirates / Kay Sanderson -- Insights into the successful integration of foreign-born faculty in Israeli academia : the empowering effect of in-group ethno-cultural similarity / Ya'arit Bokek-Cohen, Nitza Davidovitch -- "Sensitive fences" : the im/mobility of working-class academics / Signe M. …”
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Increasing student engagement and retention using mobile applications smartphones, Skype and texting technologies /

Table of Contents: “…New pathways in higher education : an introduction to using mobile technologies / Laura A. Wankel, Patrick Blessinger -- Educational designs supporting student engagement through networked project studies / Jørgen Lerche Nielsen, Lars Birch Andreasen -- Mobile learning : definition, uses and challenges / Jorge Brantes Ferreira ... …”
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Mobile Data Mining and Applications by Jiang, Hao, Chen, Qimei, Zeng, Yuanyuan, Li, Deshi

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Mobile Phone Security and Forensics A Practical Approach / by Androulidakis, Iosif I.

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Mobile Technologies and Applications for the Internet of Things Proceedings of the 12th IMCL Conference /

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Learning disabilities and e-information : navigating the electronic hypermaze / by Williams, Peter

Table of Contents: “…Issues inherent in researching learning disabilities -- Chapter 3. The web and people with learning disabilities -- Chapter 4. …”
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Design of technology-enhanced learning : integrating research and practice /

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Nanoelectronics, Circuits and Communication Systems Proceeding of NCCS 2017 /

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Developing Networks using Artificial Intelligence by Yao, Haipeng, Jiang, Chunxiao, Qian, Yi

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Cognitive Radio, Mobile Communications and Wireless Networks

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Smart Education and e-Learning 2018

Table of Contents: “…Smart Learning Analytics: Conceptual Modeling and Agile Engineering -- Developing an Adaptive Mobile Platform in Family Medicine Field Experiences: User Perceptions -- Automation System of Intellectual Activity on Creating Programs in the Language of Logical Programming -- Intellectualization of Educational Information Systems Based on Adaptive Semantic Models -- Smart Interactive System for Learning of Tax Planning -- Smart Education Analytics: Quality Control of System Links -- Blended Learning 3.0: Getting Students on Board -- The Elderly in SMART Cities -- Smart Platform for e-Learning Circumstances -- Engineering Affordances for a New Convergent Paradigm of Smart and Sustainable Learning Technologies.…”
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Information Systems and Technologies to Support Learning Proceedings of EMENA-ISTL 2018 /

Table of Contents: “…Metaheuristic Approaches for Solving University Timetabling Problems: A Review and Case Studies from Middle Eastern Universities -- Ontology-based Modeling for a Personalized MOOC Recommender System -- Hybrid Recommendation Approach in Online Learning Environments -- Mobile Learning Oriented Towards Learner Stimulation and Engagement -- Teaching and Learning How to Program Without Writing Code -- Emerging Technologies and Learning Innovation in the New Learning Ecosystem -- Security Scheme for IoT Environments in Smart Grids -- Bitcoin Difficulty, A Security Feature -- Rating Microfinance Products Consumers Using Artificial Neural Networks -- Toward an Evaluation Model for Open Government Data portals -- A New Supervised Learning Based Ontology Matching Approach Using Neural Networks -- Multi-cloud Resources Optimization for Users Applications Execution.…”
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Machine Learning for Cyber Physical Systems Selected papers from the International Conference ML4CPS 2018 /

Table of Contents: “…Machine Learning for Enhanced Waste Quantity Reduction: Insights from the MONSOON Industry 4.0 Project -- Deduction of time-dependent machine tool characteristics by fuzzy-clustering -- Unsupervised Anomaly Detection in Production Lines -- A Random Forest Based Classifer for Error Prediction of Highly Individualized Products -- Web-based Machine Learning Platform for Condition-Monitoring -- Selection and Application of Machine Learning-Algorithms in Production Quality -- Which deep artifificial neural network architecture to use for anomaly detection in Mobile Robots kinematic data -- GPU GEMM-Kernel Autotuning for scalable machine learners -- Process Control in a Press Hardening Production Line with Numerous Process Variables and Quality Criteria -- A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance -- Detection of Directed Connectivities in Dynamic Systems for Different Excitation Signals using Spectral Granger Causality -- Enabling Self-Diagnosis of AutomationDevices through Industrial Analytics -- Making Industrial Analytics work for Factory Automation Applications -- Application of Reinforcement Learning in Production Planning and Control of Cyber Physical Production Systems -- LoRaWan for Smarter Management of Water Network: From metering to data analysis.…”
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