LEADER 00753nam0 2200241 450 001 000012040 005 20180514153056.0 100 $a20080529d1962----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $aa-------001yy 200 1 $aComputer programming handbook$ea guide for beginners$fRobert Nathan, Elizabeth Hanes 210 $aEnglewood Cliffs (N.J.)$cPrentice-Hall$d1962 215 $aIX, 214 p.$cill.$d23 cm 610 1 $aCalcolo numerico 676 $a510.78$v19 700 1$aNathan,$bRobert$0439136 701 1$aHanes,$bElizabeth$0631370 801 0$aIT$bUNIPARTHENOPE$c20080529$gRICA$2UNIMARC 912 $a000012040 951 $a510.78/101$b15068$cPIST 996 $aComputer programming handbook$91204238 997 $aUNIPARTHENOPE LEADER 07392nam 22006855 450 001 9910770258303321 005 20260721194255.0 010 $a9783031490088 010 $a3031490088 024 7 $a10.1007/978-3-031-49008-8 035 $a(MiAaPQ)EBC31020203 035 $a(Au-PeEL)EBL31020203 035 $a(CKB)29374581200041 035 $a(DE-He213)978-3-031-49008-8 035 $a(OCoLC)1415893778 035 $a(EXLCZ)9929374581200041 100 $a20231214d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProgress in Artificial Intelligence $e22nd EPIA Conference on Artificial Intelligence, EPIA 2023, Faial Island, Azores, September 5?8, 2023, Proceedings, Part I /$fedited by Nuno Moniz, Zita Vale, José Cascalho, Catarina Silva, Raquel Sebastião 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (551 pages) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14115 311 08$aPrint version: Moniz, Nuno Progress in Artificial Intelligence Cham : Springer,c2024 9783031490071 327 $aAmbient Intelligence and Affective Environments: Simulation-Based Adaptive Interface for Personalized Learning of AI Fundamentals in Secondary School -- Gamified CollectiveEyes: A Gamified Distributed Infrastructure for Collectively Sharing People?s Eyes -- Design and Development of Ontology for AI-based Software Systems to Manage the Food Intake and Energy Consumption of Obesity, Diabetes and Tube Feeding Patients -- A System for Animal Health Monitoring and Emotions Detection -- Ethics and Responsibility in Artificial Intelligence: A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics -- A Maturity Model for industries and organizations of all types to better adopt Responsible AI ? preliminary results -- Completeness of Datasets Documentation on ML/AI repositories: an Empirical Investigation -- Navigating the landscape of AI ethics and responsibility -- Towards Interpretability in Fintech Applications via Knowledge Augmentation -- General Artificial Intelligence: Revisiting Deep Attention Recurrent Networks -- Pre-training with Augmentations for Efficient Transfer in Model-based Reinforcement Learning -- DyPrune: Dynamic pruning rates for neural networks -- Robustness Analysis of Machine Learning Models using Domain-Specific Test Data Perturbation -- Vocalization Features to Recognize Small Dolphin Species for Limited Datasets -- Covariance Kernel Learning Schemes for Gaussian Process Based Prediction using Markov Chain Monte Carlo -- Intelligent Robotics: A Review on Quadruped Manipulators -- Knowledge Discovery and Business Intelligence: Pollution Emission Patterns of Transportation in Porto, Portugal through Network Analysis -- Analysis of Dam Natural Frequencies Using a Convolutional Neural Network -- Imbalanced Regression Evaluation under Uncertain Domain Preferences -- Studying the impact of sampling in highly frequent time series -- Mining Causal Links Between TV Sports Content and Real-World Data -- Hybrid SkipAwareRec: A Streaming Music Recommendation System -- Interpreting What Is Important: An Explainability Approach And Study On Feature Selection -- Time-series pattern verification in CNC machining data -- Time-series pattern verification in CNC machining data -- Time-series pattern verification in CNC machining data -- Measuring latency-accuracy trade-offs in Convolutional Neural Networks -- MultiAgent Systems: Theory and Applications: Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance -- Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance -- Natural Language Processing, Text Mining and Applications: Topic Model with Contextual Outlier Handling: a Study on Electronic Invoice Product Descriptions -- Tweet2Story: Extracting Narratives From Twitter -- Argumentation Mining from Textual Documents Combining Deep Learning and Reasoning -- Event Extraction for Portuguese: A QA-driven Approach using ACE-2005 -- Symbolic vs Deep Learning Techniques for Explainable Sentiment Analysis -- Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks -- Assessing Good, Bad and Ugly Arguments Generated by ChatGPT: a New Dataset, its Methodology and Associated Tasks -- OSPT: European Portuguese Paraphrastic Dataset with Machine Translation -- Task Conditioned BERT for Joint Intent Detection and Slot-filling -- Planning, Scheduling and Decision-Making in AI: Data-driven Single Machine Scheduling Minimizing Weighted Number of Tardy Jobs -- Heuristic Search Optimisation using Planning and Curriculum Learning Techniques -- Social Simulation and Modelling: Review of Agent-Based Evacuation Models in Python. 330 $aThe two-volume set LNAI 14115 and 14116 constitutes the refereed proceedings of the 22nd EPIA Conference on Progress in Artificial Intelligence, EPIA 2023, held in Faial Island, Azores, in September 2023. The 85 full papers presented in these proceedings were carefully reviewed and selected from 163 submissions. The papers have been organized in the following topical sections: ambient intelligence and affective environments; ethics and responsibility in artificial intelligence; general artificial intelligence; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; natural language processing, text mining and applications; planning, scheduling and decision-making in AI; social simulation and modelling; artifical intelligence, generation and creativity; artificial intelligence and law; artificial intelligence in power and energy systems; artificial intelligence in medicine; artificial intelligence and IoT in agriculture; artificial intelligence in transportation systems; artificial intelligence in smart computing; artificial intelligence for industry and societies. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v14115 606 $aArtificial intelligence 606 $aComputer networks 606 $aApplication software 606 $aNatural language processing (Computer science) 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aComputer and Information Systems Applications 606 $aNatural Language Processing (NLP) 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aApplication software. 615 0$aNatural language processing (Computer science) 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aComputer and Information Systems Applications. 615 24$aNatural Language Processing (NLP). 676 $a006.3 700 $aMoniz$b Nuno$01460477 701 $aVale$b Zita$01290997 701 $aCascalho$b Jose?$00 701 $aSilva$b Catarina$01460479 701 $aSebastião$b Raquel$01460480 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910770258303321 996 $aProgress in Artificial Intelligence$93660314 997 $aUNINA LEADER 02954nam 2200721Ia 450 001 9911020335303321 005 20260415134234.0 010 $a9786613650047 010 $a9781280673115 010 $a1280673117 010 $a9781118166741 010 $a1118166744 010 $a9781118166727 010 $a1118166728 010 $a9781118166758 010 $a1118166752 024 8 $a9786613650047 035 $a(CKB)2670000000166902 035 $a(EBL)818509 035 $a(SSID)ssj0000622811 035 $a(PQKBManifestationID)11435049 035 $a(PQKBTitleCode)TC0000622811 035 $a(PQKBWorkID)10643553 035 $a(PQKB)10528881 035 $a(MiAaPQ)EBC818509 035 $a(CaBNVSL)mat06183551 035 $a(IDAMS)0b000064817eb439 035 $a(IEEE)6183551 035 $a(OCoLC)793103961 035 $a(PPN)270633723 035 $a(Perlego)1002040 035 $a(UkBuK)967930 035 $a(EXLCZ)992670000000166902 100 $a20110708d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aElectrical modeling and design for 3D integration $e3D integrated circuits and packaging signal integrity, power integrity, and EMC /$fEr-Ping Li 205 $a1 210 1$cWiley$d2012 215 $a1 online resource (390 p.) 300 $aDescription based upon print version of record. 311 08$a9780470623466 311 08$a0470623462 320 $aIncludes bibliographical references and index. 327 $aMacromodeling of Complex Interconnects in 3D Integration -- 2.5D Simulation Method for 3D Integrated Systems -- Hybrid Integral Equation Modeling Methods for 3D Integration -- Systematic Microwave Network Analysis for 3D Integrated Systems -- Modeling of Through-Silicon Vias (TSV) in 3D Integration. 330 $a New advanced modeling methods for simulating the electromagnetic properties of complex three-dimensional electronic systems Based on the author's extensive research, this book sets forth tested and proven electromagnetic modeling and simulation methods for analyzing signal and power integrity as well as electromagnetic interference in large complex electronic interconnects, multilayered package structures, integrated circuits, and printed circuit boards. Readers will discover the state of the technology in electronic package integration and printed circuit board simulation and 606 $aThree-dimensional integrated circuits 606 $aIntegrated circuits 615 0$aThree-dimensional integrated circuits. 615 0$aIntegrated circuits. 676 $a621.3815 686 $aTEC008050$2bisacsh 700 $aLi$b Er-Ping$01636077 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911020335303321 996 $aElectrical modeling and design for 3D integration$94417664 997 $aUNINA