Emerging Structures from Artisanal Transports System: An Agent Based Approach.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
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Includes bibliographical references and index.
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ReferencesOptimal Moore Neighborhood Approach of Cellular Automaton Based Pedestrian Movement: A Case Study on the Closed Area; Abstract; 1 Introduction; 2 Panic and Normal Situations: Pedestrian Movement Behaviors; 2.1 Normal Situation; 2.2 Panic Situation; 3 Microscopic Movement: Cellular Automata Approach; 4 Methodology: Pedestrian Movement Simulation; 4.1 Spatial Layout Design: Closed Area; 4.2 Horizontal Von Neumann Approach; 4.3 Optimal Moore Neighborhood Approach; 4.4 Randomization of Obstacles; 5 Results; 6 Conclusion; Acknowledgment; References.
CONTENTS NOTE
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Intro; Editor's Preface; Contents; Dynamic Control of Explore/Exploit Trade-Off in Bayesian Optimization; 1 Introduction; 1.1 Acquisition Functions; 2 Contextual Improvement; 2.1 Exploration vs. Exploitation Trade-Off; 2.2 Definition of Contextual Improvement; 3 Experiments; 3.1 Definition of Success Metrics; 3.2 Experimental Details; 3.3 Optimization of Synthetic Functions; 3.4 Tuning of Machine Learning Algorithms; 3.5 Experimental Design; 4 Results and Discussion; 4.1 Synthetic Functions; 4.2 Tuning of Machine Learning Algorithms; 4.3 Experimental Design.
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4.2.2 Tip Processing Using POS Tagger4.3 Aspect Classifier Component; 4.3.1 Training Classification Model; 4.3.2 Detecting Category Using Classification Model; 4.4 Sentiment Allocation Component; 4.4.1 Unsupervised Calculation; 4.4.2 Supervised Calculation; 5 Experiments; 5.1 Accuracy Testing; 5.1.1 Overall Accuracy; 5.1.2 Supervised vs. Unsupervised Accuracy; 5.2 Reliability Testing; 5.2.1 Aspect Extraction Variations; 5.2.2 Aspect Classification Variations; 5.2.3 Sentiment Allocation Variations; 6 Conclusion; 6.1 Proof of Concept; 6.2 Limitations of the Solution; 6.3 Future Enhancements.
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4.4 Overall Performance: Sensitivity to Hyperparameters4.5 The Importance of a One-Shot Technique; 5 Conclusion; References; A Bayesian Approach for Analyzing the Dynamic Relationship Between Quarterly and Monthly Economic Indicators; 1 Introduction; 2 Estimating the Stationary Component; 3 Proposed Approach; 3.1 Modeling; 3.2 Estimating the Time-Varying Coefficient; 3.3 Estimating the Hyperparameters; 4 Application; 5 Conclusion; References; Sentiment Analysis System for Roman Urdu; Abstract; 1 Introduction; 2 Related Work; 3 Dataset; 4 Algorithms Used; 5 Features; 6 Data Preprocessing.
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7 Methodology8 Results and Discussion; 9 Conclusion and Future Work; References; User Centric Mobile Based Decision-Making System Using Natural Language Processing (NLP) and Aspect Based Opinion Mining (ABOM) Techniques for Restaurant Selection; Abstract; 1 Introduction; 2 Background and Related Work; 2.1 Aspect Based Opinion Mining of Reviews; 2.2 Aspect Identification Techniques; 2.3 Sentiment Classification Techniques; 2.4 Aspect Classification Techniques; 3 Restaurant Review Data Sources; 4 Proposed Framework; 4.1 API Handler Component; 4.2 Tip Processor Component; 4.2.1 Tip Normalization.
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SUMMARY OR ABSTRACT
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This book, gathering the Proceedings of the 2018 Computing Conference, offers a remarkable collection of chapters covering a wide range of topics in intelligent systems, computing and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process. Of those 568 submissions, 192 submissions (including 14 poster papers) were selected for inclusion in these proceedings. Despite computer science's comparatively brief history as a formal academic discipline, it has made a number of fundamental contributions to science and society--in fact, along with electronics, it is a founding science of the current epoch of human history ('the Information Age') and a main driver of the Information Revolution. The goal of this conference is to provide a platform for researchers to present fundamental contributions, and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. This book collects state of the art chapters on all aspects of Computer Science, from classical to intelligent. It covers both the theory and applications of the latest computer technologies and methodologies. Providing the state of the art in intelligent methods and techniques for solving real-world problems, along with a vision of future research, the book will be interesting and valuable for a broad readership.
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Title
Intelligent Computing : Proceedings of the 2018 Computing Conference, Volume 1.