03883nam 2200457 450 991080777740332120240108172617.0(CKB)4110000000007763(CaSebORM)9781787284197(MiAaPQ)EBC5379704(Au-PeEL)EBL5379704(CaPaEBR)ebr11554653(OCoLC)1035519178(EXLCZ)99411000000000776320180615d2018 uy 0engurcn####|||||txtrdacontentcrdamediacrrdacarrierPhoenix web development create rich web applications using functional programming techniques with Phoenix and Elixir /Brandon RicheyFirst editionBirmingham :Packt,2018.1 online resource (406 pages)1-78728-419-0 Learn to build a high-performance functional prototype of a voting web application from scratch using Elixir and Phoenix About This Book Build a strong foundation in Functional-Programming techniques while learning to build compelling web applications Understand the Elixir Concurrency and parallelization model to build high-performing blazingly fast applications Learn to test, debug and deploy your web applications using Phoenix framework Who This Book Is For This book is for people with a basic knowledge of Elixir, who want to start building web applications. Prior experience with web technologies is assumed. What You Will Learn Learn Phoenix Framework fundamentals and v1.3's new application structure Build real-time applications with channels and presence Utilize GenServers and other OTP fundamentals to keep an application stable Track users as they sign in and out of chat with Phoenix's built-in presence functionality Write your own database interaction code that is safe, bug-free, and easy to work with Explore testing and debugging methodologies to understand a real software development lifecycle for a Phoenix application Deploy and run your Phoenix application in production In Detail Phoenix is a modern web development framework that is used to build API's and web applications. It is built on Elixir and runs on Erlang VM which makes it much faster than other options. With Elixir and Phoenix, you build your application the right way, ready to scale and ready for the increasing demands of real-time web applications. This book covers the basics of the Phoenix web framework, showing you how to build a community voting application, and is divided into three parts. In the first part, you will be introduced to Phoenix and Elixir and understand the core terminologies that are used to describe them. You will also learn to build controller pages, store and retrieve data, add users to your app pages and protect your database. In the second section you will be able to reinforce your knowledge of architecting real time applications in phoenix and not only debug these applications but also diagnose issues in them. In the third and final section you will have the complete understanding of deploying and running the phoenix application and should be comfortable to make your first application release By the end of this book, you'll have a strong grasp of all of the core fundamentals of the Phoenix framework, and will have built a full production-ready web ...Web site developmentElixir (Computer program language)Web applicationsProgrammingWeb site development.Elixir (Computer program language)Web applicationsProgramming.005.276Richey Brandon J.1685449MiAaPQMiAaPQMiAaPQBOOK9910807777403321Phoenix web development4057595UNINA10189nam 22007815 450 991050844860332120251113203753.03-030-89363-410.1007/978-3-030-89363-7(CKB)5470000001298840(MiAaPQ)EBC6796783(DE-He213)978-3-030-89363-7(PPN)258296410(EXLCZ)99547000000129884020211024d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierPRICAI 2021: Trends in Artificial Intelligence 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8–12, 2021, Proceedings, Part II /edited by Duc Nghia Pham, Thanaruk Theeramunkong, Guido Governatori, Fenrong Liu1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (628 pages) illustrationsLecture Notes in Artificial Intelligence,2945-9141 ;130323-030-89362-6 Includes bibliographical references and index.Front Matter -- Section 1 : Natural Language Processing -- Front Matter -- A Calibration Method for Sentiment Time Series by Deep Clustering / Jingyi Wu, Baopu Qiu, Lin Shang -- A Weak Supervision Approach with Adversarial Training for Named Entity Recognition / Jianxuan Shao, Chenyang Bu, Shengwei Ji, Xindong Wu -- An Attention-Based Approach to Accelerating Sequence Generative Adversarial Nets / Minglei Gao, Sai Zhang, Xiaowang Zhang, Zhiyong Feng -- Autoregressive Pre-training Model-Assisted Low-Resource Neural Machine Translation / Nier Wu, Hongxu Hou, Yatu Ji, Wei Zheng -- Combining Improvements for Exploiting Dependency Trees in Neural Semantic Parsing / Defeng Xie, Jianmin Ji, Jiafei Xu, Ran Ji -- Deep Semantic Fusion Representation Based on Special Mechanism of Information Transmission for Joint Entity-Relation Extraction / Wenqiang Xu, Shiqun Yin, Junfeng Zhao, Ting Pu -- Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets / Jan Christian Blaise Cruz, Jose Kristian Resabal, James Lin, Dan John Velasco, Charibeth Cheng -- Fake News Detection Using Multiple-View Text Representation / Tuan Ha, Xiaoying Gao -- Generating Pseudo Connectives with MLMs for Implicit Discourse Relation Recognition / Congcong Jiang, Tieyun Qian, Zhuang Chen, Kejian Tang, Shaohui Zhan, Tao Zhan -- Graph Convolutional Network Exploring Label Relations for Multi-label Text Classification / Ting Pu, Shiqun Yin, Wenwen Li, Wenqiang Xu -- Improving Long Content Question Generation with Multi-level Passage Encoding / Peide Zhu -- Learning Vietnamese-English Code-Switching Speech Synthesis Model Under Limited Code-Switched Data Scenario / Cuong Manh Nguyen, Lam Viet Phung, Cuc Thi Bui, Trang Van Truong, Huy Tien Nguyen -- Multi-task Text Normalization Approach for Speech Synthesis / Cuc Thi Bui, Trang Van Truong, Cuong Manh Nguyen, Lam Viet Phung, Manh Tien Nguyen, Huy Tien Nguyen -- Performance-Driven Reinforcement Learning Approach for Abstractive Text Summarization / Trang-Phuong N. Nguyen, Nam-Chi Van, Nhi-Thao Tran -- Punctuation Prediction in Vietnamese ASRs Using Transformer-Based Models / Viet The Bui, Oanh Thi Tran -- Rumor Detection on Microblogs Using Dual-Grained Feature via Graph Neural Networks / Shouzhi Xu, Xiaodi Liu, Kai Ma, Fangmin Dong, Shunzhi Xiang, Changsong Bing -- Short Text Clustering Using Joint Optimization of Feature Representations and Cluster Assignments / Liping Sun, Tingli Du, Xiaoyu Duan, Yonglong Luo -- Soft-BAC: Soft Bidirectional Alignment Cost for End-to-End Automatic Speech Recognition / Yonghe Wang, Hui Zhang, Feilong Bao, Guanglai Gao --Section 2 : Natural Language Processing -- Span Labeling Approach for Vietnamese and Chinese Word Segmentation / Duc-Vu Nguyen, Linh-Bao Vo, Dang Van Thin, Ngan Luu-Thuy Nguyen -- VSEC: Transformer-Based Model for Vietnamese Spelling Correction / Dinh-Truong Do, Ha Thanh Nguyen , Thang Ngoc Bui, Hieu Dinh Vo -- What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task / Kosisochukwu Judith Madukwe, Xiaoying Gao, Bing Xue -- Enhanced Named Entity Recognition with Semantic Dependency / Peng Wang, Zhe Wang, Xiaowang Zhang, Kewen Wang, Zhiyong Feng -- Improving Sentence-Level Relation Classification via Machine Reading Comprehension and Reinforcement Learning / Bo Xu, Zhengqi Zhang, Xiangsan Zhao, Hui Song, Ming Du -- Multi-modal and Multi-perspective Machine Translation by Collecting Diverse Alignments / Lin Li, Turghun Tayir, Kaixi Hu, Dong Zhou -- Simplifying Paragraph-Level Question Generation via Transformer Language Models / Luis Enrico Lopez, Diane Kathryn Cruz, Jan Christian Blaise Cruz, Charibeth Cheng --Section 3 : Neural Networks and Deep Learning -- ABAE: Utilize Attention to Boost Graph Auto-Encoder / Tianyu Liu, Yifan Li, Yujie Sun, Lixin Cui, Lu Bai -- Adversarial Examples Defense via Combining Data Transformations and RBF Layers / Jingjie Li, Jiaquan Gao, Xiao-Xin Li -- An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery / Huan Dai, Yupei Zhang, Yue Yun, Xuequn Shang -- ARNet: Accurate and Real-Time Network for Crowd Counting / Yinfeng Xia, Qing He, Wenyue Wei, Baoqun Yin -- Deep Recommendation Model Based on BiLSTM and BERT / Changwei Liu, Xiaowen Deng -- GCMNet: Gated Cascade Multi-scale Network for Crowd Counting / Jinfang Zheng, Panpan Zhao, Jinyang Xie, Chen Lyu, Lei Lyu -- GIAD: Generative Inpainting-Based Anomaly Detection via Self-Supervised Learning for Human Monitoring / Ning Dong, Einoshin Suzuki -- Heterogeneous Graph Attention Network for User Geolocation / Xuan Zhang, FuQiang Lin, DiWen Dong, WangQun Chen, Bo Liu -- Hyperbolic Tangent Polynomial Parity Cyclic Learning Rate for Deep Neural Network / Hong Lin, Xiaodong Yang, Binyan Wu, Ruyan Xiong -- Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN / Yongsong Huang, Zetao Jiang, Qingzhong Wang, Qi Jiang, Guoming Pang -- Knowledge Compensation Network with Divisible Feature Learning for Unsupervised Domain Adaptive Person Re-identification / Jiajing Hong, Yang Zhang, Yuesheng Zhu -- LoCo-VAE: Modeling Short-Term Preference as Joint Effect of Long-Term Preference and Context-Aware Impact in Recommendation / Jianping Liu, Bo Wang, Ruifang He, Bin Wu, Shuo Zhang, Yuexian Hou et al. --Section 4 : Neural Networks and Deep Learning -- Multi-scale Edge-Based U-Shape Network for Salient Object Detection / Han Sun, Yetong Bian, Ningzhong Liu, Huiyu Zhou -- Reconstruct Anomaly to Normal: Adversarially Learned and Latent Vector-Constrained Autoencoder for Time-Series Anomaly Detection / Chunkai Zhang, Wei Zuo, Shaocong Li, Xuan Wang, Peiyi Han, Chuanyi Liu -- Robust Ensembling Network for Unsupervised Domain Adaptation / Han Sun, Lei Lin, Ningzhong Liu, Huiyu Zhou -- SPAN: Subgraph Prediction Attention Network for Dynamic Graphs / Yuan Li, Chuanchang Chen, Yubo Tao, Hai Lin -- WINVC: One-Shot Voice Conversion with Weight Adaptive Instance Normalization / Shengjie Huang, Mingjie Chen, Yanyan Xu, Dengfeng Ke, Thomas Hain -- Fusion Graph Convolutional Collaborative Filtering / Zeqi Zhang, Ying Liu, Fengli Sun -- Multi-label Learning by Exploiting Imbalanced Label Correlations / Shiqiao Gu, Liu Yang, Yaning Li, Hui Li -- Random Sparsity Defense Against Adversarial Attack / Nianyan Hu, Ting Lu, Wenjing Guo, Qiubo Huang, Guohua Liu, Shan Chang et al. -- Back Matter.This three-volume set, LNAI 13031, LNAI 13032, and LNAI 13033 constitutes the thoroughly refereed proceedings of the 18th Pacific Rim Conference on Artificial Intelligence, PRICAI 2021, held in Hanoi, Vietnam, in November 2021. The 93 full papers and 28 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics in the areas of social and economic importance for countries in the Pacific Rim: artificial intelligence, machine learning, natural language processing, knowledge representation and reasoning, planning and scheduling, computer vision, distributed artificial intelligence, search methodologies, etc. Part II includes two thematic blocks: Natural Language Processing, followed by Neural Networks and Deep Learning.Lecture Notes in Artificial Intelligence,2945-9141 ;13032Artificial intelligenceSocial sciencesData processingEducationData processingDatabase managementApplication softwareInformation storage and retrieval systemsArtificial IntelligenceComputer Application in Social and Behavioral SciencesComputers and EducationDatabase ManagementComputer and Information Systems ApplicationsInformation Storage and RetrievalArtificial intelligence.Social sciencesData processing.EducationData processing.Database management.Application software.Information storage and retrieval systems.Artificial Intelligence.Computer Application in Social and Behavioral Sciences.Computers and Education.Database Management.Computer and Information Systems Applications.Information Storage and Retrieval.006.3Pham Duc-NghiaXue Bing(Senior lecturer in computer science)Pacific Rim International Conference on Artificial Intelligence(18th :2021 :Hanoi, Vietnam)MiAaPQMiAaPQMiAaPQPROCEEDING9910508448603321PRICAI 2021: Trends in Artificial Intelligence1961249UNINA