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[null,"1.","Record Nr.",null,"UNISA996389371603316"]
[null,null,"Autore",null,"Ken Thomas <1637-1711.>"]
[null,null,"Titolo",null,"All glory be to God [[electronic resource] ] : Sir, His Majesty in these his letters patents, which I now send you, having given a fresh and great assurance of his graciousness to his own subjects, in shewing himself so very gracious to protestant strangers, and having requir'd me to to a particular recommendation, and command to my brethren of the clergy ."]
[null,null,"Pubbl/distr/stampa",null,"[England?], : s.n.], 1686"]
[null,null,"Descrizione fisica",null,"1 sheet ([2] p.)"]
[null,null,"Soggetti",null,"Protestants - England"]
[{"$nulls":4},"Broadsides17th century"]
[{"$nulls":4},"Great Britain History James II, 1685-1688"]
[{"$nulls":4},"Great Britain Politics and government 1660-1688"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Caption title."]
[{"$nulls":4},"Attributed to Thomas Ken. Cf. Wing (2nd ed.)."]
[{"$nulls":4},"Signed: \"Your affectionate friend and brother, Tho. Bath & Wells.\""]
[{"$nulls":4},"Dated: \"Wells, April 15th 1686.\""]
[{"$nulls":4},"Reproduction of original in: Bodleian Library."]
[null,null,null,"Sommario/riassunto","eebo-0014"]
[null,"2.","Record Nr.",null,"UNISA996587860103316"]
[null,null,"Autore",null,"Hà Minh Hoàng"]
[null,null,"Titolo",null,"Computational Data and Social Networks : 12th International Conference, CSoNet 2023, Hanoi, Vietnam, December 11-13, 2023, Proceedings"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer, , 2024"]
[{"$nulls":4},"©2024"]
[null,null,"ISBN",null,"981-9706-69-6"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (440 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science Series ; ; v.14479"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- Machine Learning and Prediction -- An Approach Using Threshold-Based Noise Reduction and Fine-Tuned ShuffleNetV2 for Plant Leaf Disease Detection -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Dataset -- 3.2 Soft-Thresholding with Lasso Regression for Noise Reduction -- 3.3 Deep Learning Architectures for Disease Detection on Leaf Images -- 4 Experimental Results -- 4.1 Experimental Setup -- 4.2 Scenario 1: Disease Performance with ShuffleNetV2 -- 4.3 Scenario 2: Disease Performance with ResNet50 -- 4.4 Scenario 3: Disease Performance with LeNet -- 4.5 Scenario 4: Soft-Thresholding with Lasso Regression -- 4.6 Discussion -- 5 Conclusion -- References -- Enhancing Visual Question Answering with Generated Image Caption -- 1 Introduction -- 2 Related Work -- 2.1 Visual Question Answering -- 2.2 VQA with Image Captioning -- 3 Methodology -- 3.1 Caption Generation -- 3.2 Feature Representation -- 3.3 Multimodal Representation Aggregation -- 3.4 Answers Decoder -- 4 Experiments -- 4.1 Dataset -- 4.2 Metrics -- 4.3 Implementation Details -- 4.4 Results and Discussions -- 5 Conclusion -- References -- A Gaussian Distribution Labeling Method for Speech Quality Assessment -- 1 Introduction -- 2 Proposed Method -- 2.1 Gaussian Distribution Labeling -- 2.2 Focal Loss -- 2.3 Model Architecture -- 3 Experiments -- 3.1 Setup -- 3.2 Datasets -- 3.3 Scenario -- 3.4 Results and Discussion -- 4 Conclusions -- References -- TextFocus: Efficient Multi-scale Detection for Arbitrary Scene Text -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Detection Branch -- 3.2 Focus Branch -- 3.3 Combination for Final "]
[{"$nulls":4},"Results -- 4 Experiments and Results -- 4.1 Datasets -- 4.2 Experiments -- 4.3 Result and Analysis -- 5 Conclusion -- References."]
[{"$nulls":4},"Fake Face Recognition on Images Generated by Various Deepfakes Tools -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Overall Workflow -- 3.2 Tools for Fake Face Generation -- 3.3 The Convolutional Neural Network Architecture -- 3.4 Dataset -- 4 Experimental Results -- 4.1 Environmental Settings and Metrics -- 4.2 Scenario 1: The Ability to Make Fake Faces by the Considered Tools -- 4.3 Scenario 2: The Comparison Between the Proposed Architecture and MobiletNet -- 5 Conclusion -- References -- Multi-scale Aggregation Network for Speech Emotion Recognition -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Multi-filter Convolutional Neural Network (MFCNN) -- 2.2 Multi-scale Feature Aggregation (MSA) Network -- 2.3 Data Augmentation Methods -- 2.4 Loss Function -- 3 Experiments -- 3.1 Datasets -- 3.2 Experimental Results and Analysis -- 3.3 Conclusions -- References -- ViEcomRec: A Dataset for Recommendation in Vietnamese E-Commerce -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Dataset Crawling -- 3.2 Attribute Extraction -- 4 Methodology -- 4.1 Problem Definition -- 4.2 Content-Based Filtering with Popularity Score -- 4.3 Attribute-Based Filtering -- 5 Experiment -- 5.1 Experimental Settings -- 5.2 Experimental Results -- 6 Conclusions and Future Work -- References -- Untargeted Code Authorship Evasion with Seq2Seq Transformation -- 1 Introduction -- 2 Our Approach: Building Blocks -- 3 SCAE: Putting it Together -- 4 Evaluation -- 4.1 Experimental Setup and Goal -- 4.2 Results and Analysis -- 5 Conclusion -- References -- Mining the Potential Temporal Features Based on Wearable EEG Signals for Driving State Analysis -- 1 Introduction -- 2 EEG-Based Fatigue Driving Detection Model -- 2.1 Feature Extraction -- 2.2 Model Training and Optimization -- 3 The Experimental Analysis -- 4 Conclusion -- References."]
[{"$nulls":4},"VN-Legal-KG: Vietnam Legal Knowledge Graph for Legal Statute Identification on Land Law Matters -- 1 Introduction -- 2 Vietnam Legal Knowledge Graph -- 3 Link Prediction for Multi-label LSI Prediction -- 3.1 GAT Training with VN-Legal-KG -- 3.2 Link Prediction for a New Question -- 4 Experiments -- 4.1 Dataset -- 4.2 Training and Evaluating Protocol -- 4.3 Baselines -- 5 Conclusion -- References -- CombiGCN: An Effective GCN Model for Recommender System -- 1 Introduction -- 2 Related Work -- 2.1 Graph Convolution Networks -- 2.2 Multi-layer Perceptron and Backpropagation -- 3 Our Proposed Method -- 3.1 Pre-processing Data -- 3.2 Adjacent Graph and Weighted References Matrix -- 3.3 CombiGCN -- 4 Experiments -- 4.1 Datasets Description -- 4.2 Experimental Settings -- 4.3 Experiment Results -- 5 Conclusion -- References -- Unveiling Sentiments in Vietnamese Education Texts: Could Large Language Model GPT-3.5-turbo Beat PhoBERT? -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 3.1 PhoBERT Pre-trained Model and Fine-Tuning for Specified Task -- 3.2 Other Tested Models Including Variants of BERT and Large Language Model (GPT-3.5) -- 4 Result -- 4.1 Dataset -- 4.2 Experimental Result -- 5 Conclusion -- References -- Portfolio Construction Based on Time Series Clustering Method Evidence in the Vietnamese Stock Market -- 1 Introduction -- 2 Data and Methodology -- 2.1 Data -- 2.2 Methodology -- 3 Empirical Analysis and Results -- 4 Conclusion -- References -- An Approach for Web Content Classification with FastText -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Data Preprocessing -- 3.2 Text Classification -- 4 Experiments -- 4.1 Dataset -- 4.2 Scenario 1: Text Classification with TF-IDF -- 4.3 Scenario 2: Text Classification with TF-IDF with SVD -- "]
[{"$nulls":4},"4.4 Scenario 3: Text Classification with FastText -- 4.5 Evaluate the Experimental Results."]
[{"$nulls":4},"5 Conclusion -- References -- Optimization -- Continuous Length-Bounded Paths Interdiction -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem Formulation -- 2.2 General Model of Our Solutions -- 3 Threshold Blocking Oracle -- 3.1 Requirements of TB -- 3.2 Threshold Expansion -- 4 Critical Path Listing Oracle -- 5 Conclusion -- References -- A* Search Algorithm for an Optimal Investment Problem in Vehicle-Sharing Systems -- 1 Introduction -- 2 Literature -- 3 Problem Statement and Formulation -- 3.1 Semi-Markov Decision Process for Determining the Optimal Fleet Size -- 3.2 A Model for Calculating Optimal Profit and Minimum Acquisition Cost -- 4 Solution Approach -- 4.1 Heuristic Strategy for A* Algorithm -- 5 Numerical Experiments -- 5.1 Numerical Design -- 5.2 Results -- 6 Conclusion -- References -- The Matheuristic for Building Cost-Constrained Decision Trees with Multiple Condition Attributes -- 1 Introduction -- 2 Literature -- 3 Problem Statement and Existing Formulation -- 4 The Matheuristic Approach -- 4.1 The MILP Formulation for Assigning Decision Attributes -- 4.2 The MILP-Based Algorithm: VND -- 5 Numerical Experiments -- 6 Conclusion -- References -- Fast Bicriteria Approximation Algorithm for Minimum Cost Submodular Cover Problem -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 4 Proposed Algorithms for the Problem -- 4.1 Proposed Algorithm with Known opt -- 4.2 Main Algorithm -- 5 Empirical Evaluation -- 6 Conclusion -- References -- Mixed Integer Linear Programming-Based Methods for the Optimal Time-Constrained Cost-Sensitive Decision Tree -- 1 Introduction -- 2 Mathematical Formulation -- 3 The Adaptation of Limited Times and Costs of Features in Existing Models -- 4 Numerical Experiments -- 5 Conclusion -- References."]
[{"$nulls":4},"Solving Time-Dependent Traveling Salesman Problem with Time Windows Under Generic Time-Dependent Travel Cost -- 1 Problem Formulation -- 2 Literature Review -- 3 Partially Time-Expanded Network Formulation and Properties -- 4 New Lower Bound Formulations and Algorithm -- 4.1 Path-arc-based Formulation -- 4.2 Arc-Based Formulation -- 4.3 Algorithm to Solve TD-TSPTW(DT) -- 5 Experiments -- 6 Conclusion -- References -- Improved Streaming Algorithm for Minimum Cost Submodular Cover Problem -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 4 Proposed Algorithm -- 5 Experimental Evaluation -- 5.1 Applications and Datasets -- 5.2 Experiment Results -- 6 Conclusion -- References -- Deletion-Robust Submodular Maximization Under the Cardinality Constraint over the Integer Lattice -- 1 Introduction -- 2 Preliminaries -- 3 Robustness Setting over the Integer Lattice -- 3.1 Centralized Algorithm over the Integer Lattice -- 3.2 Streaming Setting over the Integer Lattice -- 4 Conclusion -- References -- Evolutionary Parameter Optimization: A Novel Control Strategy for Chaotic Environments -- 1 Introduction -- 2 Approach and Execution -- 2.1 Trend Identification Strategies -- 2.2 Evolutionary Modeling for Optimal Control Strategies: A Profits-Based Approach -- 3 Experimental Procedures and Findings -- 3.1 Investigating Suboptimal Initial Threshold Values: Estimation and Analysis -- 3.2 Implementation Details -- 3.3 Evolutionary Optimization in Control Strategy: Application, Modifications, and Parameter Estimation -- 4 Conclusion -- References -- Security and Blockchain -- The Infrastructure Utilization of Free Contents Websites Reveal Their Security Characteristics -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Research Questions -- 3.2 Data Collection Process -- 3.3 Correlation Analysis -- 4 Correlation Results."]
[{"$nulls":4},"4.1 General Correlation Results."]