Recent Advances in Information and Communication Technology 2020: Proceedings of the 16th International Conference on Computing and Information Techno, Meesad Phayung, Sodsee Sunantha
Описание: This book explores how the European Union designs its trade policy to face the most recent challenges and to influence global policy issues. It studies a broad set of trade instruments that are used by the EU in its trade policy, such as: trade agreements, multilateral initiatives, unilateral trade policies, as well as, internal market tools.
Описание: This book explores how the European Union designs its trade policy to face the most recent challenges and to influence global policy issues. It studies a broad set of trade instruments that are used by the EU in its trade policy, such as: trade agreements, multilateral initiatives, unilateral trade policies, as well as, internal market tools.
Автор: Siddhartha Bhattacharyya, Indrajit Pan, Ashish Mani, Sourav De, Elizabeth Behrman, Susanta Chakraborti Название: Quantum Machine Learning ISBN: 311067064X ISBN-13(EAN): 9783110670646 Издательство: Walter de Gruyter Цена: 20446.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method. Such algorithms typically require one to encode the given classical dataset into a quantum computer, so as to make it accessible for quantum information processing. After this, quantum information processing routines can be applied and the result of the quantum computation is read out by measuring the quantum system. For example, the outcome of the measurement of a qubit could reveal the result of a binary classification task. While many proposals of quantum machine learning algorithms are still purely theoretical and require a full-scale universal quantum computer to be tested, others have been implemented on small-scale or special purpose quantum devices. The salient features of the book include: In depth analysis of the subject matter with mathematical discourse Video demonstration of each chapter for enabling the readers to have a good understanding of the chapter contents. Examples on real life applications. Illustrative diagrams Coding examples
Описание: Microwave Devices and Printed Antennas.- Advances in Optical and RF Devices and Applications.- Signal Processing and Information Theory.- Wireless and Optical Technologies and Techniques.- Computer Vision.-Optimization and Modeling in Wireless Communication Systems.- Modeling, Identification and Biomedical Signal Processing.-Photovoltaic Cell & SystemsTb3+/.- RF Devices and Antennas for Wireless Applications.
Описание: Control Systems.- Software Engineering, Data Mining and Big Data.- ICT for Education and Support Activities.- Networking, Cloud Computing and Security.- ICT Based Services and Applications.- Mobile Agent Systems, Software Engineering, Data Mining and Big Data.- Online Experimentation & Artificial Intelligence in Education.- Networking, Cloud Computing and Security.- ICT Based Education and Services ICT Challenges and Applications.- Advances in ICT Modeling and Design ICT Developments and Recent Progress.
Deep Learning I.- Seed-guided Deep Document Clustering.- Improving Knowledge Graph Embedding using Locally and Globally Attentive Relation Paths.- ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis.- Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration.- A Hierarchical Model for Data-to-Text Generation.- Entities.- Context-guided Learning to Rank Entities.- Graph-Embedding Empowered Entity Retrieval.- Learning Advanced Similarities and Training Features for Toponym Interlinking.- Patch-based Identification of Lexical Semantic Relations.- Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph.- Evaluation.- Evaluating the Effectiveness of the Standard Insights Extraction Pipeline for Bantu Languages.- Recommendation.- Axiomatic Analysis of Contact Recommendation Methods in Social Networks: an IR perspective.- Recommending Music Curators: A Neural Style-Aware Approach.- Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation.- Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation.- TransRev: Modeling Reviews as Translations from Users to Items.- Information Extraction.- Domain-independent Extraction of Scientific Concepts from Research Articles.- Leveraging Schema Labels to Enhance Dataset Search.- Moving from formal towards coherent concept analysis: why, when and how.- Beyond Modelling: Understanding Mental Disorders in Online Social Media.- Deep Learning II.- Learning based Methods for Code Runtime Complexity Prediction.- Inductive Document Network Embedding with Topic-Word Attention.- Multi-components system for automatic Arabic diacritization.- A Mixed Semantic Features Model for Chinese NER with Characters and Words.- VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification.- Retrieval.- A Computational Approach for Objectively Derived Systematic Review Search Strategies.- You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews.- Counterfactual Online Learning to Rank.- A Framework for Argument Retrieval: Ranking Argument Clusters by Frequency and Specificity.- Relevance Ranking based on Query-Aware Context Analysis.- Multimedia.- Multimodal Entity Linking for Tweets.- MEMIS: Multimodal Emergency Management Information System.- Interactive Learning for Multimedia at Large.- Visual Re-ranking via Adaptive Collaborative Hypergraph Learning for Image Retrieval.- Motion Words: A Text-like Representation of 3D Skeleton Sequences.- Deep Learning III.- Reinforced Rewards Framework for Text Style Transfer.- Recognizing Semantic Relations: Attention-Based Transformers vs. Recurrent Models.- Early detection of rumours on Twitter via stance transfer learning.- Learning to Rank Images with Cross-Modal Graph Convolutions.- Diagnosing BERT with Retrieval Heuristics.- Queries.- Generation of Synthetic Query Auto Completion Logs.- What Can Task Teach Us About Query Reformulations?.- A Regularised Intent Model for Discovering Multiple Intents in E-Commerce Tail Queries.- Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion.- Using Image Captions and Multitask Learning for Recommending Query Reformulations.- IR - general.- Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking.- Accelerating Substructure Similarity Search for Formula Retrieval.- Quantum-like Structure in Multidimensional Relevance Judgements.- Question Answering, Prediction, and Bias.- Temporal Latent Space Modeling for Community Prediction.- KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources.- Answering Event-Related Questions over Long-term News Article Archives.- bias goggles - Graph-based Computa
Clock Synchronization for Mobile Molecular Communication in Nanonetworks.- A Cooperative Molecular Communication for targeted drug Delivery.- Performance of Diffusion-based MIMO Molecular Communications and Dual Threshold Algorithm.- Binary Concentration Shift Keying with Multiple Measurements of Molecule Concentration in Mobile Molecular Communication.- Real-Time Seven Segment Display Detection and Recognition Online System using CNN.- A novel method for extracting high-quality RR intervals from noisy single-lead ECG signals.- Leak-resistant design of DNA strand displacement systems.- Chessboard EEG Images Classification for BCI Systems Using Deep Neural Network.- Causal Network Analysis and Fault Root Point Detection Based on Symbolic Transfer Entropy.- Personalized EEG feature extraction method based on filter bank and elastic network.- Release rate optimization based on M/M/c/c queue in local nanomachine-based targeted drug delivery.- Research on Course Control of Unmanned Surface Vehicle.- Design and Experiment of a Double-layer Vertical Axis Wind Turbine.- Real-Time Obstacle Detection Based on Monocular Vision for Unmanned Surface Vehicles.- A Method of Data Integrity Check and Repair in Big Data Storage Platform.- A Study of Image Recognition for Standard Convolution and Depthwise Separable Convolution.- A Novel Genetic Algorithm-based DES Key Generation Scheme.- Developing an Intelligent Agricultural System based on Long Short-Term Memory.- Detection of atherosclerotic lesions based on molecular Communication.- Design for Detecting Red Blood Cell Deformation at Different Flow Velocities in Blood Vessel.- Intelligent Power Controller of Wireless Body Area Networks based on Deep Reinforcement Learning.- Target Tracking Based on DDPG in Wireless Sensor Network.- A fuzzy tree system based on cuckoo search algorithm for target tracking in Wireless Sensor Network.- Sensor scheme for target tracking in Mobile Sensor Networks.- Molecular MIMO Communications Platform with BTSK for In-Vessel Network Systems.- Preliminary Studies on Flow Assisted Propagation of Fluorescent Microbeads in Microfluidic Channels for Molecular Communication Systems.- Comparative Evaluation of a New Sensor for Superparamagnetic Iron-Oxide Nanoparticles in a Molecular Communication Setting.- Localization of a Passive Molecular Transmitter with a Sensor Network.
Описание: Over past few years, technologies have experienced boundaries getting blurred and concept of convergence to gain prominence. Harnessing from this, two main tracks for information processing management and communication are held, covering both research and application works of information management, intelligent information processing, interaction management, networking/ telecommunications, and social interaction. This book creates unique opportunity for research convergence among truly diverse technology domains of computer science. Leveraging from this diversity of topics, researchers get to generate novel research ideas by seeking application of their research in a different technology domain. This volume represents the collection of papers presented at the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM 2019), held on 4-6 January 2019 in Phuket, Thailand. Out of 228 papers submitted from all around the world 88 papers were accepted for presentations. The 88 contributions to this volume are organized into 5 chapters: Chapter 1. Network Evolution, Chapter 2. Intelligent and Secure Network, Chapter 3. Image and Video Processing, Chapter 4. Information Technology and Society, and Chapter 5. Data Mining and Learning. Our editors wish readers to find this volume informative and enjoyable.
Описание: Control Systems.- Software Engineering, Data Mining and Big Data.- ICT for Education and Support Activities.- Networking, Cloud Computing and Security.- ICT Based Services and Applications.- Mobile Agent Systems, Software Engineering, Data Mining and Big Data.- Online Experimentation & Artificial Intelligence in Education.- Networking, Cloud Computing and Security.- ICT Based Education and Services ICT Challenges and Applications.- Advances in ICT Modeling and Design ICT Developments and Recent Progress.
Описание: Microwave Devices and Printed Antennas.- Advances in Optical and RF Devices and Applications.- Signal Processing and Information Theory.- Wireless and Optical Technologies and Techniques.- Computer Vision.-Optimization and Modeling in Wireless Communication Systems.- Modeling, Identification and Biomedical Signal Processing.-Photovoltaic Cell & SystemsTb3+/.- RF Devices and Antennas for Wireless Applications.
Reproducibility Papers.- Knowledge Graph Entity Alignment with Graph Neural Networks: Lessons Learned.- The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines.- From MaxScore to Block-Max WAND: The Story of How Lucene Significantly Improved Query Evaluation Performance.- Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants.- The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study.- Reproducibility is a Process, not an Achievement: The Replicability of IR Reproducibility Experiments.- On the Replicability of Combining Word Embeddings and Retrieval Models.- Influence of Random Walk Parametrization on Graph Embeddings.- Short Papers.- Calling attention to passages for biomedical question answering.- Neural Embedding-based Metrics for Pre-Retrieval Query Performance Prediction.- A Latent Model for Ad Hoc Table Retrieval.- Hybrid Semantic Recommender System for Chemical Compounds.- Assessing the Impact of OCR Errors in Information Retrieval.- Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions.- Machine-actionable data management plans: A knowledge retrieval approach to automate the assessment of funders' requirements.- Session-based Path Prediction by Combining Local and Global Content Preferences.- Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers.- Irony Detection in a Multilingual Context.- Document Network Projection in Pretrained Word Embedding Space.- Supervised Learning Methods for Diversification of Image Search Results.- ANTIQUE: A Non-Factoid Question Answering Benchmark.- Neural Query-biased Abstractive Summarization Using Copying Mechanism.- Distant Supervision for Extractive Question Summarization.- Text-Image-Video Summary Generation using Joint Integer Linear Programming.- Domain Adaptation via Context Prediction for Engineering Diagram Search.- Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias.- Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings.- A Multi-task Approach to Open Domain Suggestion Mining using Language Model for Text Over-sampling.- MedLinker: Medical Entity Linking with Neural Representations and Dictionary Matching.- Ranking Significant Discrepancies in Clinical Reports.- Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning.- Semi-Supervised Extractive Question Summarization Using Question-Answer Pairs.- Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation.- PMD: An Optimal Transportation-based User Distance for Recommender Systems.- On Biomedical Named Entity Recognition: Experiments in Bilingual Transfer for Clinical and Social Media Texts.- SlideImages: A Dataset for Educational Image Classification.- Rethinking Query Expansion for BERT Reranking.- Personalized Video Summarization based exclusively on User Preferences.- SentiInc: Incorporating Sentiment Information into Sentiment Transfer without Parallel Data.- Dualism in Topical Relevance.- Keyphrase Extraction as Sequence Labeling using Contextualized Embeddings.- Easing Legal News Monitoring with Learning to Rank and BERT.- Generating query suggestions for cross-language and cross-terminology health information retrieval.- Identifying Notable News Stories.- BERT for Evidence Retrieval and Claim Verification.- BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction.- On the Temporality of Priors in Entity Linking.- Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization.- DAKE: Document-level Attention for Keyphrase Extraction.- Understanding depression from psycholinguistic patterns in social media Texts.- Predicting the Size of Candidate Document Set for Implicit Web Search Result Diversification.- Aspect-based Academic Search using Domain-specific KB.- Dynamic Heterogeneous Gr
Описание: The chapter "An Efficient Index for Reachability Queries in Public Transport Networks" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
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