01219nam--2200397---450-99000244230020331620100430141353.0000244230USA01000244230(ALEPH)000244230USA0100024423020050622d198889--km-y0itay0103----baitaIT||||||||001yyConsiderazioni sulla politica energetica in Italia ( 1970/89)candidato Angelo Pacerelatore Nicola Postiglione[ S. l.s. n.]anno accademico 1988 - 89192 p.30 cmTesi di laurea20012001001-------2001Risorse energeticheItalia333.790945PACE,Angelo573326POSTIGLIONE,NicolaUniversità degli studi <Salerno>: facoltà di economia e commercioITsalbcISBD990002442300203316X 1 66BKDSSSDSSS1020050622USA011206ANDRIA9020100430USA011413Considerazioni sulla politica energetica in Italia ( 19701056086UNISA00976nam0 22002653i 450 SUN012071220190313122050.1890.00IT1936 569620190313d1935 |0itac50 baitaIT|||| |||||*Istituzioni feudali nella storia del diritto italianostudio storico-giuridico sull'ex feudo di SalandraGiuseppe ManfridiBari : La grafica, 1935221 p.24 cmBiblioteca Lauria.BariSUNL000009Manfridi, GiuseppeSUNV092738485705La graficaSUNV010474650ITSOL20190318RICASUN0120712UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00CONS BL.900M.1742 00BL 3866 slp 20190313 Istituzioni feudali nella storia del diritto italiano1547057UNICAMPANIA01574nam0 22003973i 450 PUV011075020251003044310.00471528587pbk047152859520080418d1992 ||||0itac50 baengusz01i xxxe z01nAdventures in Unix Network applications programmingBill Rieken, Lyle WeimanNew York [etc.]J. Wileyc1992XV, 448 p.24 cmWiley professional computing001MIL00715232001 Wiley professional computingReti di elaboratoriFIRCFIC070162EElaboratori elettroniciSistema operativo UnixFIRCFIC008510I005.7DATI NEI SISTEMI DI ELABORAZIONE14005.711DATI NEI SISTEMI DI ELABORAZIONE. PROGRAMMAZIONE22Reti di calcolatoriReti di computerReti di elaboratoriReti di calcolatoriReti di elaboratoriReti di computerRieken, BillPUVV068262070714730Weiman, LylePUVV068263070714731ITIT-00000020080418IT-BN0095 NAP 01SALA DING $PUV0110750Biblioteca Centralizzata di Ateneo1 v.1 v. 01SALA DING 005.7 RIE.ad 0102 0000009055 VMA A4 1 v.Y 1994041819940418 01Adventures in Unix Network applications programming1382081UNISANNIO12664nam 22006495 450 991063770990332120251008153557.03-031-09753-X10.1007/978-3-031-09753-9(MiAaPQ)EBC7165913(Au-PeEL)EBL7165913(CKB)25913961200041(DE-He213)978-3-031-09753-9(PPN)267815794(EXLCZ)992591396120004120221221d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSmart Applications with Advanced Machine Learning and Human-Centred Problem Design /by D. Jude Hemanth, Utku Kose, Junzo Watada, Bogdan Patrut1st ed. 2023.Cham :Springer International Publishing :Imprint: Springer,2023.1 online resource (801 pages)Engineering Cyber-Physical Systems and Critical Infrastructures,2731-5010 ;1Print version: Hemanth, D. Jude Smart Applications with Advanced Machine Learning and Human-Centred Problem Design Cham : Springer International Publishing AG,c2023 9783031097522 Intro -- General Committees -- Honorary Chairs -- General Chair -- Conference Chairs -- Organizing Committee -- Secretary and Social Media -- Accommodation and Registration/Venue Desk -- Travel/Transportation -- Web/Design/Conference Session -- Scientific Committee -- Keynote Speaks -- ICAIAME 2021 Keynote Speakers -- Foreword -- Preface -- Contents -- About the Conference -- Scope/Topics -- Conference Scope/Topics (as not limited to) -- Conference Posters -- 1 Implementation of Basic Math Processing Skills with Neural Arithmetic Expressions in One and Two Stage Numbers -- 1.1 Introduction -- 1.1.1 Neural Arithmetic Expressions and Logic Units -- 1.1.2 Long Short-Term Memory Algorithm -- 1.2 Related Work -- 1.3 Proposed Method -- 1.4 Experimental Findings -- 1.5 Conclusions -- References -- 2 An Example Application for Early Diagnosis of Retinal Diseases Using Deep Learning Methods -- 2.1 Introduction -- 2.2 Material and Method -- 2.2.1 Material -- 2.2.2 Method -- 2.3 Research Findings -- 2.4 Discussion -- 2.5 Results -- References -- 3 Autonomous Parking with Continuous Reinforcement Learning -- 3.1 Introduction -- 3.2 Related Works -- 3.2.1 Deep Q Networks -- 3.2.2 Deep Deterministic Policy Gradient Algorithm -- 3.2.3 Twin Delayed Temporal Difference Algorithm -- 3.2.4 Soft Actor Critic Algorithm -- 3.2.5 Hindsight Experience Replay Algorithm -- 3.2.6 Parking Environment Simulation Model -- 3.3 Experiments and Results -- 3.4 Conclusions and Future Work -- References -- 4 Design and Manufacturing of a 3 DOF Robot with Additive Manufacturing Methods -- 4.1 Introduction -- 4.2 Material and Method -- 4.2.1 Material -- 4.3 Method -- 4.4 Findings and Discussion -- 4.5 Conclusion -- References -- 5 Real-Time Mask Detection Based on Artificial Intelligence Using Renewable Energy System Unmanned Aerial Vehicle -- 5.1 Introduction -- 5.2 Related Studies.5.3 Material and Method -- 5.3.1 Material -- 5.3.2 Material and Method -- 5.4 Research Findings -- 5.5 Conclusion -- References -- 6 Investigation of Effect of Wrapping Length on the Flexural Properties of Wooden Material in Reinforcement with Aramid FRP -- 6.1 Introduction -- 6.2 Material and Method -- 6.3 Results -- 6.4 Conclusions -- References -- 7 Deep Learning-Based Air Defense System for Unmanned Aerial Vehicles -- 7.1 Introduction -- 7.2 Material and Method -- 7.2.1 Material -- 7.2.2 Method -- 7.3 Research Findings -- 7.3.1 MobileNetV2 Training Results -- 7.3.2 Xception Training Results -- 7.3.3 InceptionV3 Training Results -- 7.4 Results -- References -- 8 Strategic Framework for ANFIS and BIM Use on Risk Management at Natural Gas Pipeline Project -- 8.1 Introductıon -- 8.2 Literature -- 8.3 Materials and Methods -- 8.3.1 Artificial Neural Networks (ANN) -- 8.3.2 Structure of Artificial Neural Network -- 8.3.3 Fuzzy Inference System -- 8.3.4 Adaptive Neuro-Fuzzy Inference System-ANFIS -- 8.3.5 What is the Building Information Modelling (BIM) -- 8.3.6 Methods -- 8.4 Results -- 8.5 Conclusion -- References -- 9 Predicting Ethereum Price with Machine Learning Algorithms -- 9.1 Introduction -- 9.2 Related Works -- 9.3 Method and Material -- 9.3.1 Used Methods -- 9.3.2 Data Collecting -- 9.3.3 Method -- 9.4 Discussion and Results -- 9.5 Conclusions and Future Work -- References -- 10 Data Mining Approachs for Machine Failures: Real Case Study -- 10.1 Introductıon -- 10.2 Literature -- 10.3 Methods -- 10.3.1 Re-processing the Data -- 10.3.2 Methods -- 10.4 Results -- 10.5 Conclusion -- References -- 11 Classification of People Both Wearing Medical Mask and Safety Helmet -- 11.1 Introduction -- 11.2 Materials and Methods -- 11.2.1 Dataset -- 11.2.2 Method -- 11.2.3 Single Deep Neural Network -- 11.2.4 Double Deep Neural Network.11.3 Conclusions and Future Work -- References -- 12 Anonymization Methods for Privacy-Preserving Data Publishing -- 12.1 Introduction -- 12.2 Big Data Definition -- 12.3 Data Anonymization -- 12.3.1 Protection Methods with Anonymization -- 12.3.2 Anonymization and Protection Models -- 12.4 Literature Review -- 12.5 Comparison of Existing Studies -- 12.6 Conclusion -- References -- 13 Improving Accuracy of Document Image Classification Through Soft Voting Ensemble -- 13.1 Introduction -- 13.2 Related Works -- 13.3 Methodology -- 13.3.1 Document Image Classification -- 13.3.2 Image Pre-processing -- 13.3.3 Convolutional Neural Network -- 13.3.4 Soft Voting -- 13.4 Experiments and Result -- 13.4.1 Dataset -- 13.4.2 Evaluation Metrics -- 13.4.3 Experiments -- 13.5 Conclusion -- References -- 14 Improved Performance of Adaptive UKF SLAM with Scaling Parameter -- 14.1 Introduction -- 14.2 Adaptive UKF SLAM -- 14.3 Simulation Results and Discussions -- 14.4 Conclusion and Suggestions -- References -- 15 An Adaptive EKF Algorithm with Adaptation of Noise Statistic Based on MLE, EM and ICE -- 15.1 Introduction -- 15.2 Methods -- 15.2.1 Extended Kalman Filter (EKF) -- 15.2.2 Unscented Kalman Filter (UKF) -- 15.2.3 Adaptive Extended Kalman Filter (AEKF) -- 15.2.4 Data Association -- 15.2.5 AEKF-SLAM Algorithm -- 15.3 Simulation Results and Discussion -- 15.4 Conclusions and Future Work -- References -- 16 Artificial Intelligence Based Detection of Estrus in Animals Using Pedometer Data -- 16.1 Introduction -- 16.2 Related Works -- 16.3 Method and Material -- 16.3.1 Architectural Design -- 16.3.2 Devices -- 16.3.3 Electronic Circuit Design -- 16.3.4 Proposed Algorithms -- 16.4 Discussion and Result -- 16.5 Conclusions and Future Work -- References -- 17 Enhancing Lexicon Based Sentiment Analysis Using n-gram Approach -- 17.1 Introduction.17.2 Sentiment Lexicons -- 17.2.1 Vader -- 17.2.2 TextBlob -- 17.2.3 Afinn -- 17.2.4 SentiWordNet -- 17.3 Proposed Framework -- 17.3.1 Pre-processing Step -- 17.3.2 N-gram Extraction -- 17.3.3 Feature Space Construction -- 17.4 Experimental Results -- 17.5 Conclusion -- References -- 18 A Comparison of Word Embedding Models for Turkish -- 18.1 Introduction -- 18.2 Data and Data Preprocessing Steps -- 18.3 Method -- 18.3.1 Embedding Models -- 18.3.2 Classification Model -- 18.4 Experiments -- 18.5 Conclusion -- References -- 19 The Unfairness of Collaborative Filtering Algorithms' Bias Towards Blockbuster Items -- 19.1 Introduction -- 19.2 Related Works -- 19.3 Description of Blockbuster Items -- 19.4 Blockbuster Bias in User Profiles -- 19.4.1 The Propensities of Users for Blockbuster Items -- 19.4.2 Profile Size and Blockbuster Bias -- 19.5 Different User Groups in Terms of Inclination for Blockbuster -- 19.6 Algorithmic Propagation of Blockbuster Bias -- 19.6.1 Blockbuster Bias in Recommendations for Different User Groups -- 19.7 Conclusion and Future Work -- References -- 20 Improved Gradient-Based Optimizer with Dynamic Fitness Distance Balance for Global Optimization Problems -- 20.1 Introduction -- 20.2 Related Works -- 20.2.1 GBO -- 20.2.2 Dynamic Fitness-Distance Balance (dFDB) -- 20.2.3 Improved GBO with Dynamic Fitness Distance Balance -- 20.3 Experimental Study -- 20.3.1 Settings -- 20.3.2 Benchmark Problems -- 20.3.3 Constrained Engineering Design Problems -- 20.4 Analyze Results -- 20.4.1 Statistical Analysis Results -- 20.4.2 Convergence Analysis Results -- 20.4.3 Results for Engineering Design Problems -- 20.5 Conclusions and Future Work -- References -- 21 TR-SUM: An Automatic Text Summarization Tool for Turkish -- 21.1 Introduction -- 21.2 Literature Review -- 21.2.1 Related Studies in Turkish -- 21.2.2 Datasets in Turkish.21.3 TR-SUM: A Text Summarization Tool for Turkish -- 21.3.1 General Overview of "TR-SUM: A Text Summarization Tool for Turkish" -- 21.3.2 TR-NEWS-SUM Dataset -- 21.3.3 Data Pre-processing -- 21.3.4 The Proposed Neural Network Models for Turkish Text Summarization -- 21.4 Discussion and Results -- 21.5 Conclusion and Future Work -- References -- 22 Automatic and Semi-automatic Bladder Volume Detection in Ultrasound Images -- 22.1 Introduction -- 22.2 Related Works -- 22.3 Method and Material -- 22.3.1 Data Set -- 22.3.2 Method -- 22.4 Discussion and Results -- 22.5 Conclusions and Future Work -- References -- 23 Effects of Variable UAV Speed on Optimization of Travelling Salesman Problem with Drone (TSP-D) -- 23.1 Introduction -- 23.2 Problem Definition -- 23.3 Methodology -- 23.3.1 Truck-Drone Algorithm Approach -- 23.4 Experimental Studies -- 23.4.1 Settings -- 23.4.2 Experimental Studies and Results -- 23.5 Discussions and Conclusion -- References -- 24 Improved Phasor Particle Swarm Optimization with Fitness Distance Balance for Optimal Power Flow Problem of Hybrid AC/DC Power Grids -- 24.1 Introduction -- 24.2 Mathematical Formulation of Optimal Power Flow Problem of Hybrid AC/DC Power Grids -- 24.2.1 State and Control Variables -- 24.2.2 Constraints -- 24.2.3 Objective Functions -- 24.3 Method -- 24.3.1 Fitness-Distance Balance Method -- 24.3.2 Overview of Phasor Particle Swarm Optimization (PPSO) Algorithm -- 24.3.3 Proposed FDBPPSO Algorithm -- 24.4 Experimental Settings -- 24.5 Results and Analysis -- 24.5.1 Determining the Best FDBPPSO Variant on CEC 2020 Test Suite -- 24.5.2 Application of the Proposed FDBPPSO Method for Optimal Power Flow Problem of Hybrid AC/DC Power Grids -- 24.6 Conclusions -- References.25 Development of an FDB-Based Chimp Optimization Algorithm for Global Optimization and Determination of the Power System Stabilizer Parameters.This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.Engineering Cyber-Physical Systems and Critical Infrastructures,2731-5010 ;1Computational intelligenceArtificial intelligenceEngineeringData processingComputational IntelligenceArtificial IntelligenceData EngineeringComputational intelligence.Artificial intelligence.EngineeringData processing.Computational Intelligence.Artificial Intelligence.Data Engineering.016.403006.3Hemanth D. Jude1208278MiAaPQMiAaPQMiAaPQBOOK9910637709903321Smart applications with advanced machine learning and human-centred problem design3089413UNINA