Developments and Advances in Defense and Security: Proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Se, Rocha Бlvaro, Guarda Teresa
Описание: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS), held at the Military Engineering Institute, Rio de Janeiro, Brazil, from 8 to 10th May 2019. and engineering and technologies applied to defense.
Описание: Vegetable Distribution System using Machine Learning Approach.- A Purpose of a Smart Vegetable Garden Model Based on Paraconsistent Annotated Evidential Logic Eτ.- Paraconsistent Artificial Neural Network Applied to Agribusiness.- Research and Design on an Automatic Control System Using in Antarctic Greenhouse.- Design of Microwave Triple Frequency Multimeter Based on Multilayer MoS2.- Correlation Research on the Structure of the Apple Tree Vigor and its Fruit Quality.- Real-Time Data Transmission Design of Unmanned Aerial Vehicle Gamma Spectrometer.- 0.8GHz Low Noise Amplifier Design.- Optimization Analysis of Laying Length of Thin Wall Micro-Spray Belt under Different Slope Conditions.- L-Band Ultra-Wideband Low Noise Amplifier Design.
Описание: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS), held at the Military Engineering Institute, Rio de Janeiro, Brazil, from 8 to 10th May 2019. It covers a variety of topics in systems, communication and defense; strategy and political-administrative vision in defense; and engineering and technologies applied to defense. Given its scope, it offers a valuable resource for practitioners, researchers, and students alike.
Автор: Rocha Название: Developments and Advances in Defense and Security ISBN: 3319786040 ISBN-13(EAN): 9783319786049 Издательство: Springer Рейтинг: Цена: 30745.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book includes a selection of articles from The 2018 Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS`18), held in Salinas, Peninsula de Santa Elena, Ecuador, from April 18 to 20, 2018.
Автор: ?lvaro Rocha; Manolo Paredes-Calder?n; Teresa Guar Название: Developments and Advances in Defense and Security ISBN: 9811548749 ISBN-13(EAN): 9789811548741 Издательство: Springer Рейтинг: Цена: 46118.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers the proceedings of the Multidisciplinary International Conference of Research Applied to Defense and Security (MICRADS), held at the Eloy Alfaro Military Academy (ESMIL) in Quito, Ecuador, on May 13-15,2020. It covers a broad range of topics in systems, communication, and defense;
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
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 papers present current developments in language theory, formal languages, automata theory and related areas, such as algorithmic, combinatorial, and algebraic properties of words and languages, cellular automata, algorithms on words, etc.
Автор: Rami Abielmona; Rafael Falcon; Nur Zincir-Heywood; Название: Recent Advances in Computational Intelligence in Defense and Security ISBN: 3319264486 ISBN-13(EAN): 9783319264486 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is an initiative undertaken by the IEEE Computational Intelligence Society`s Task Force on Security, Surveillance and Defense to consolidate and disseminate the role of CI techniques in the design, development and deployment of security and defense solutions.
Автор: Greg Kennedy Название: Defense Engagement Since 1900: Global Lessons in Soft Power ISBN: 0700629483 ISBN-13(EAN): 9780700629480 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4764.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: There is more to defense than military might and more to the military than a fighting force. At a moment of global upheaval, domestic turmoil, and political uncertainty, this timely volume seeks to define and reframe the terms of defense engagement - the use of military capabilities to exert soft power (influence) as opposed to hard power (military force). Defense Engagement since 1900 is a work of applied military history that brings lessons of the past to bear on current issues. In a number of case studies spanning the twentieth century and the globe, the authors explore various dimensions of defense engagement. Their work, which attempts to recast the role of a state's military from wielder of force to employer of power, is squarely aimed at tackling the causes of designated security threats and not merely managing their consequences.The chapters, by scholars and practitioners representing diverse points of view, focus primarily on the British experience - perhaps the most extensive example of the use of military power in a nonmartial fashion in pursuit of policy goals. However, the chapters also consider events in the United States, Canada, Japan, the Middle East, and Africa. Intelligence, diplomacy, deterrence, alliances, coalitions, and networks: all are within the authors' scope as they address the need to use a wide range of attributes and capabilities associated with military power in various contemporary conflicts and national security strategies. The understanding their work provides will prove critically important to strategic thinkers of our day, as democratic states increasingly contend with hybrid, subthreshold, and Gray Zone warfare.
Описание: There is more to defense than military might and more to the military than a fighting force. At a moment of global upheaval, domestic turmoil, and political uncertainty, this timely volume seeks to define and reframe the terms of defense engagement - the use of military capabilities to exert soft power (influence) as opposed to hard power (military force). Defense Engagement since 1900 is a work of applied military history that brings lessons of the past to bear on current issues. In a number of case studies spanning the twentieth century and the globe, the authors explore various dimensions of defense engagement. Their work, which attempts to recast the role of a state's military from wielder of force to employer of power, is squarely aimed at tackling the causes of designated security threats and not merely managing their consequences.The chapters, by scholars and practitioners representing diverse points of view, focus primarily on the British experience - perhaps the most extensive example of the use of military power in a nonmartial fashion in pursuit of policy goals. However, the chapters also consider events in the United States, Canada, Japan, the Middle East, and Africa. Intelligence, diplomacy, deterrence, alliances, coalitions, and networks: all are within the authors' scope as they address the need to use a wide range of attributes and capabilities associated with military power in various contemporary conflicts and national security strategies. The understanding their work provides will prove critically important to strategic thinkers of our day, as democratic states increasingly contend with hybrid, subthreshold, and Gray Zone warfare.
Автор: Abielmona Rami, Falcon Rafael, Zincir-Heywood Nur Название: Recent Advances in Computational Intelligence in Defense and Security ISBN: 3319799568 ISBN-13(EAN): 9783319799568 Издательство: Springer Рейтинг: Цена: 22451.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume is an initiative undertaken by the IEEE Computational Intelligence Society`s Task Force on Security, Surveillance and Defense to consolidate and disseminate the role of CI techniques in the design, development and deployment of security and defense solutions.
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