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[null,"1.","Record Nr.",null,"UNISA996391826203316"]
[null,null,"Autore",null,"Wilson Thomas <1525?-1581.>"]
[null,null,"Titolo",null,"The rule of reason [[electronic resource] ] : conteinyng the art of logike. Sette forthe in Englishe, and newlie corrected by Thomas Wilson. Anno Domini. 1567"]
[null,null,"Pubbl/distr/stampa",null,"Imprinted at London, : By Ihon Kyngston, 1580"]
[null,null,"Descrizione fisica",null,"[8], 89, [5] p"]
[null,null,"Soggetti",null,"Logic"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title within woodcut ornamental border."]
[{"$nulls":4},"Running title reads: The arte of logike."]
[{"$nulls":4},"Another edition of STC 25809, published in 1551."]
[{"$nulls":4},"Print faded and show-through."]
[{"$nulls":4},"Reproduction of the original in the Yale University. Library."]
[null,null,null,"Sommario/riassunto","eebo-0198"]
[null,"2.","Record Nr.",null,"UNISA996503467403316"]
[null,null,"Titolo",null,"Human centered computing : 7th International Conference, HCC 2021, virtual event, December 9-11, 2021, revised selected papers / / edited by Qiaohong Zu, [and four others]"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"3-031-23741-2"]
[null,null,"Descrizione fisica",null,"1 online resource (312 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science ; ; v.13795"]
[null,null,"Disciplina",null,"361"]
[null,null,"Soggetti",null,"Human-computer interaction"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- Algorithms -- A Fast Shortest Path Searching Method Based on A* and Simulated Annealing -- 1 Introduction -- 2 A* and Simulated Annealing -- 2.1 A* -- 2.2 Simulated Annealing -- 3 A* SA -- 4 Experiments -- 4.1 The Influence of C on A* SA -- 4.2 Comparison of A* SA with A* and EPEA* -- 5 Conclusion -- References -- A Combining Forecasting Method Based on Seasonal Unit Root Test and Support Vector Regression -- 1 Introduction -- 2 Seasonal Time Series Forecasting Method -- 2.1 Data Pre-processing -- 2.2 SVR Parameters Optimization Based on GA with Real-Integer Hybrid Encoding -- 2.3 DHF-SVR Forecasting Model -- 3 Experimental Validation and Forecasting Performance Evaluation -- 4 Conclusion -- References -- Adaptive ICP Registration Algorithm Based on the Neighborhood of SIFT Feature Points -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Coarse Registration Based on SIFT Feature Points -- 3.2 Matching Strategy Based on the Neighborhood of SIFT Feature Points -- 3.3 Dynamically Eliminate Mismatched Point Pairs -- 3.4 Design of Objective Function with Adaptive Weights -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- A PSO Based Multi-view Hierarchical Clustering Method -- 1 Introduction -- 2 PSO and Tree Rearrangements -- 2.1 PSO -- 2.2 Tree Rearrangements -- 3 The MVHCPSO Method -- 3.1 Fitness Function -- 3.2 Velocity Update -- 3.3 State Update -- 3.4 Termination Conditions -- 3.5 The Pseudocode and Time Complexity of MVHCPSO -- 4 Experiments -- 4.1 Test on Simulated Data Sets -- 4.2 Test on Real Data Sets -- 5 Conclusion "]
[{"$nulls":4},"-- References -- GCN-ARIMA Based Sales Demand Prediction -- 1 Introduction -- 2 GCN-ARIMA Model Description -- 2.1 Graph Convolutional Network -- 2.2 Autoregressive Integrated Moving Average -- 2.3 GCN-ARIMA Model -- 3 Data and Result Analysis."]
[{"$nulls":4},"3.1 Original Dataset -- 3.2 Input Data Pre-processing -- 3.3 Evaluation of the Result -- 4 Conclusion -- References -- Dynamic Adjustment of the Learning Rate Using Gradient -- 1 Introduction -- 2 Gradient Methods in Deep Learning -- 3 CSBS Algorithm -- 4 Experience and Result Analysis -- 4.1 Experimental Setup -- 4.2 Compare with Other Algorithm -- 4.3 Different Learning Rate Experiment -- 5 Conclusion -- References -- Data and Analytics -- Predicting Personalities of Ancient Chinese Emperors Based on Relational Knowledge Transfer Model -- 1 Introduction -- 2 Related Work -- 3 The Relational Knowledge Transfer Model (RKT) -- 4 Results -- 5 Conclusion -- References -- Visualization of Convolutional Neural Networks with Attention Mechanism -- 1 Introduction -- 2 Background -- 2.1 Efficient Channel Attention for Deep Convolutional Neural Networks -- 2.2 Visualization Method -- 3 Datasets -- 3.1 Three Public Datasets -- 3.2 Data Preprocessing -- 4 Experiment -- 4.1 CNN Classification Model -- 4.2 CNN and ECA Classification Model -- 4.3 Visual Instance -- 5 Conclusion -- References -- Course Recommendation System Based on SSM Framework -- 1 Introduction -- 2 Related Work and Techniques -- 2.1 SSM Framework -- 2.2 Collaborative Filtering Recommendation -- 2.3 Social Relationship Recommendation -- 3 Introduction of the System -- 3.1 System Framework -- 3.2 Hybrid Recommendation Algorithm -- 4 System Implementation -- 5 Experiment and Result Analysis -- 5.1 Data Set -- 5.2 Evaluation Indicators -- 5.3 Experimental Results and Analysis -- 6 Conclusions -- References -- Using Entropy for Trust Measure in Collaborative Filtering -- 1 Introduction -- 2 Related Research -- 3 Proposed Trust Measure -- 3.1 User Entropy -- 3.2 Comprehensive Trust Calculation -- 3.3 Calculating Predicted Rating -- 4 Experiment -- 4.1 Data Set -- 4.2 Experiment Design."]
[{"$nulls":4},"4.3 Experiment Result -- 5 Conclusion -- References -- A Pedestrian Detection Method Based on Improved ResNet for Container Terminal -- 1 Preface -- 2 ResNet Network -- 3 Improved Pedestrian Detection Model for ResNet -- 3.1 Improved ResNet Network -- 3.2 Multi-scale Integration -- 3.3 Loss Function -- 4 Experiment -- 4.1 Experimental Environment and Data Set Introduction -- 4.2 Pedestrian Detection Result -- 4.3 Analysis and Comparison of Experimental Results -- 5 Conclusion -- References -- Detection of Advertising Users Based on K-SMOTE and Ensemble Learning -- 1 Introduction -- 2 Related Work -- 3 Datasets and Features -- 3.1 Dataset of Scholat -- 3.2 Feature Analysis and Extraction -- 4 Proposed Model -- 4.1 K-SMOTE Algorithm -- 4.2 Combined with Ensemble Learning -- 5 Experiment -- 5.1 Datasets -- 5.2 Evaluation Indicators -- 5.3 Experiment Settings -- 5.4 Experimental Results and Analysis -- 6 Conclusion -- References -- Quantitative Relationship Between Achievement Motivation and Game Behavior Based on Structural Equation Model -- 1 Introduction -- 2 Literature Review -- 3 Data Acquisition and Preprocessing -- 4 Econometric Analysis -- 5 Conclusions -- References -- Dictionary-Based Classical Chinese Word Segmentation and Its Application on Imperial Edicts of Jin Dynasties -- 1 Introduction -- 2 Methods -- 2.1 Data Collection -- 2.2 Data Processing -- 2.3 Data Analysis -- 3 Results -- 4 Conclusions -- References -- Visualization Analysis of Hot Event Propagation Topic Map -- 1 Introduction -- 2 Related Research -- 3 Problem Analysis and Model Construction -- 4 Visualization Analysis of Hot Event Based "]
[{"$nulls":4},"on the Topic Map -- 4.1 Data Collection and Preprocessing -- 4.2 Analysis of Hot Event Propagation Based on User Influence -- 4.3 Analysis of Public Opinion Propagation Node -- 5 Conclusion -- References -- Communication."]
[{"$nulls":4},"Pilot Reuse Joint Partial APs in Cell-Free Massive MIMO System -- 1 Introduction -- 2 System Model and Spectral Efficiency -- 2.1 Channel Estimation -- 2.2 Uplink Data Transmission and Spectral Efficiency -- 2.3 Partial AP Selected MMSE Combining (PAS-MMSE) -- 3 Pilot Resource Allocation for Cell-free System -- 4 Simulation and Numerical Analysis -- 5 Conclusions -- References -- Multi-task Allocation Under Multiple Constraints in Mobile Crowdsensing -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 MTA Framework and NMTA Framework -- 4.1 MTA Framework -- 4.2 NMTA Framework -- 5 Simulation Experiment and Analysis -- 5.1 The Impact of Changes in the Number of Users on Algorithm Performance -- 5.2 The Impact of Changes in the Number of Tasks on Algorithm Performance -- 6 Conclusion -- References -- Optimization of Kalman Filter Indoor Positioning Method Fusing WiFi and PDR -- 1 Kalman Filtered Indoor Localization Method by Fusing WiFi and PDR -- 1.1 WiFi Technology -- 1.2 PDR Positioning Technology -- 1.3 Extended Kalman Filtering Indoor Positioning Algorithm -- 2 Experiments and Results -- 2.1 Experimental Environment and Operation -- 2.2 Data Acquisition and Processing -- 2.3 Analysis of Results -- 3 Conclusion -- References -- Constructing an UAV Network with Relative Positioning -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 Problem Definition -- 3.2 Assumptions -- 3.3 The Proposed Scheme -- 4 Experimental Analysis -- 4.1 Coverage Performance -- 4.2 Robustness -- 4.3 Load balance -- 5 Conclusion -- References -- Resource Allocation for Multi-service NOMA System Based on Deep Reinforcement Learning*-4pt -- 1 Intoduction -- 2 System Model and Problem Formulation -- 2.1 System Model -- 2.2 Problem Formulation -- 3 Resource Allocation Based on Deep Reinforcement Learning -- 4 Simulation Results and Analysis."]
[{"$nulls":4},"4.1 Simulation Results -- 4.2 Advantages and Disadvantages -- 5 Conclusion -- References -- 5G Resource Sharing Scheme and Consensus Algorithm Based on Blockchain -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 3.1 Stake Calculation -- 3.2 BFT-PoS Consensus Process -- 3.3 Consensus Efficiency Analysis -- 4 Simulation -- 5 Conclusion -- References -- 5G Message Log Credit Management and Verification System Based on Blockchain -- 1 Introduction -- 1.1 Background -- 1.2 Related Work -- 1.3 Paper Work -- 2 5G Message Log Credit Management and Verification System -- 2.1 System Architecture -- 2.2 Index -- 2.3 Credit Process Model -- 2.4 Integrity Verification -- 2.5 Energy Consumption Model -- 3 System Experimental Analysis -- 3.1 Safety Analysis -- 3.2 Performance Analysis -- 3.3 Cost Analysis -- 4 Conclusion -- References -- A Graph-Based Service Composition Method for Science and Technology Resources -- 1 Introduction -- 2 Graph Planning Algorithm -- 3 Graph-Based Service Composition Problem Modeling -- 4 Service Diagram -- 5 Service Planning Diagram -- 6 Conclusion -- References -- Smart City -- Optimization of Energy Transaction Strategy Between Microgrids Based on MADDPG -- 1 Introduction -- 2 System Model and Problem Definition -- 2.1 Trading Model -- 2.2 Storage Model -- 2.3 Transmission Model -- 2.4 Energy Balance Model -- 2.5 Utility Model -- 3 Proposed Solution -- 3.1 DRL Model for Multi-agent Game -- 3.2 Multi-agent DDPG Algorithm -- 4 Simulation Results -- 5 Conclusions -- References -- Research on the Elements of Future Holographic Scene Design Based on Card Sorting-Fuzzy "]
[{"$nulls":4},"Comprehensive Evaluation Method -- 1 Introduction -- 2 Related Work -- 2.1 Holographic Scene Design -- 2.2 Extraction and Rating of Holographic Scene Design Elements -- 3 Holographic Scene Design Element Extraction and Rating Method."]
[{"$nulls":4},"3.1 Holographic Scene Design."]
[null,"3.","Record Nr.",null,"UNINA9910330726003321"]
[null,null,"Titolo",null,"Jurnal farmasi sains dan praktis"]
[null,null,"Pubbl/distr/stampa",null,"Magelang : , : Universitas Muhammadiyah Magelang, , [2015]-"]
[null,null,"ISSN",null,"2579-4558"]
[null,null,"Descrizione fisica",null,"1 online resource (volumes)"]
[null,null,"Soggetti",null,"Pharmacy"]
[{"$nulls":4},"Periodicals."]
[null,null,"Lingua di pubblicazione",null,"Indonesiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Periodico"]
[null,null,null,"Note generali","Refereed/Peer-reviewed"]