Vai al contenuto principale della pagina
Titolo: | Proceedings of International Conference on Sustainable Expert Systems : ICSES 2020 / / Subarna Shakya [and three others] editors |
Pubblicazione: | Gateway East, Singapore : , : Springer, , [2021] |
©2021 | |
Descrizione fisica: | 1 online resource (717 pages) |
Disciplina: | 006.33 |
Soggetto topico: | Expert systems (Computer science) |
Persona (resp. second.): | ShakyaSubarna |
Nota di contenuto: | Intro -- Preface -- Acknowledgements -- About the Conference -- Contents -- Editors and Contributors -- Captcha-Based Defense Mechanism to Prevent DoS Attacks -- 1 Introduction -- 2 Literature Survey -- 3 Working Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Prognostic of Depression Levels Due to Pandemic Using LSTM -- 1 Introduction -- 2 Procedure -- 2.1 Importing All the Packages -- 2.2 Importing Datasets -- 2.3 Preprocessing and Feature Extraction -- 2.4 Working Principle -- 3 Flowchart -- 4 Results -- 5 Conclusion -- 6 Future Scope -- References -- An Efficient Design of 8 * 8 Wallace Tree Multiplier Using 2 and 3-Bit Adders -- 1 Introduction -- 2 Related Work -- 3 Basic Multiplication Practice -- 4 Proposed Work -- 4.1 Wallace Tree Multiplier -- 4.2 Wallace Tree 4 * 4 Multiplier -- 4.3 Wallace Tree 8 * 8 Multiplier -- 4.4 2-Bit Adder -- 4.5 3-Bit Adder -- 4.6 Ripple Carry Adder (RCA) -- 4.7 Look-Ahead Carry Adder -- 5 Experimental Results -- 5.1 8 * 8 Wallace Tree Multiplier -- 5.2 Power -- 5.3 Area -- 5.4 Delay -- 5.5 RTL Schematic View -- 5.6 Technology Schematic View -- 5.7 Package View -- 5.8 Investigation of Wallace Tree 8 * 8 Multiplier -- 6 Conclusion -- References -- Application of Rules and Authorization Key for Secured Online Training-A Survey -- 1 Introduction -- 2 Machine Learning -- 2.1 Overview -- 2.2 Security in Machine Learning -- 2.3 Authorization -- 2.4 Classification -- 3 Existing Systems -- 4 Access Control -- 5 Proposed Work -- 6 Expected Outcome -- 7 Conclusion -- References -- Detecting Semantically Equivalent Questions Using Transformer-Based Encodings -- 1 Introduction -- 2 Related Work -- 3 Dataset and Preprocessing -- 4 Proposed Methodology -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References. |
Detection and Monitoring of Alzheimer's Disease Using Serious Games-A Study -- 1 Introduction and Motivation -- 2 Findings and Methodology -- 3 Results and Discussions -- 4 Conclusion and Future Work -- References -- Factors Affecting the Online Travel Purchasing Decision: An Integration of Fuzzy Logic Theory -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Fuzzy Inference System -- 3.2 Sampling and Procedures -- 3.3 Measures -- 4 Results and Discussion -- 4.1 Fuzzy Inference System Results -- 4.2 Discussion -- 5 Conclusion -- References -- An Empirical Study on the Occupancy Detection Techniques Based on Context-Aware IoT System -- 1 Introduction -- 2 Categorization of Occupancy Detection Techniques -- 2.1 Occupancy Detection via Sensors -- 2.2 Occupancy Detection via Sensor Fusion -- 2.3 Occupancy Detection via Wi-Fi and LAN -- 2.4 Occupancy Detection via Radio Frequency (RF) Signals -- 2.5 Occupation Detection Using Machine Learning Techniques -- 2.6 Other Types of Occupation Detection -- 3 Research Gaps and Issues -- 4 Result and Discussion -- 4.1 Analysis Based on Publication Year -- 4.2 Analysis Based Performance Metrics -- 4.3 Analysis Based on Classification Techniques -- 5 Conclusion -- References -- Study of Holoportation: Using Network Errors for Improving Accuracy and Efficiency -- 1 Introduction -- 2 Virtual Reality and Augmented Reality -- 2.1 Virtual Reality (VR) -- 2.2 Augmented Reality (AR) -- 3 Human Bond Communication -- 4 Network Error -- 5 Existing System -- 6 Limitation of Existing Models -- 7 Proposed System -- 8 Conclusion & -- Future Scope -- References -- Sixth-Gen Wireless Tech with Optical Wireless Communication -- 1 Introduction -- 2 Discussion -- 2.1 Advantages of Optical Wireless Communication -- 2.2 Indoor Applications -- 2.3 Outdoor Applications -- 3 Challenges and Future of 6G -- 4 Conclusion. | |
References -- Intuitive and Impulsive Pet (IIP) Feeder System for Monitoring the Farm Using WoT -- 1 Introduction -- 2 Study of Existing Methodology -- 3 Proposed Methodology -- 3.1 Hardware Implementation -- 3.2 System Implementation -- 4 Conclusion -- References -- Machine Learning Algorithms for Prediction of Credit Card Defaulters-A Comparative Study -- 1 Introduction -- 2 Literature Review -- 2.1 Random Forest Classifier -- 2.2 Gaussian Naive Bayes Classifier -- 2.3 Multi-layer Perceptron (MLP) Classifier -- 2.4 K-Nearest Neighbors Classifier -- 2.5 AdaBoost Classifier -- 2.6 CatBoost Classifier -- 2.7 XGBoost Classifier -- 2.8 LightGBM Classifier -- 3 Experimental Setup and Results -- 3.1 Dataset Description -- 3.2 Data Visualization -- 3.3 Results Using Tables and Graphs -- 4 Conclusion and Further Extensions -- References -- Investigation of Gait and Biomechanical Motion for Developing Energy Harvesting System -- 1 Introduction -- 2 Material and Methods -- 2.1 Human Gait Analysis -- 2.2 Plantar Pressure Distribution -- 3 Results and Analysis -- 4 Conclusion -- References -- Hybrid Genetic Algorithm and Machine Learning Method for COVID-19 Cases Prediction -- 1 Introduction -- 2 Background and Related Work -- 3 Overview of Adaptive Neuro-Fuzzy Inference System -- 4 Proposed Hybrid Machine Learning Method -- 4.1 Improved GA -- 4.2 Hybrid GAAE-ANFIS Method -- 5 Experimental Setup and Simulations -- 5.1 Performance Metrics, Datasets, and GAAE-ANFIS Control Parameters' Setup -- 5.2 Results and Comparative Analysis -- 6 Conclusion -- References -- Bidirectional Battery Charger for Electric Vehicle -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 3.1 Methodology -- 3.2 Topology -- 3.3 Grid to Vehicle (G2V) -- 3.4 Vehicle to Grid (V2G) -- 4 Experimental Results -- 4.1 Charging Mode (Forward Mode) -- 4.2 Discharging Mode (Reverse Mode). | |
5 Experimental Setup -- 6 Conclusion -- References -- Correlative Study of Image Magnification Techniques -- 1 Introduction -- 2 Related Work -- 3 Image Interpolation -- 3.1 Nearest Neighbour Interpolation -- 3.2 Bilinear Interpolation -- 3.3 High Quality Magnification (Hqx) Interpolation -- 4 Experiment and Discussion -- 4.1 Objective Assessment -- 4.2 Visual Quality Assessment -- 5 Conclusion -- References -- Healthy Sri Lankan Meal Planner with Evolutionary Computing Approach -- 1 Introduction -- 2 Background Related Works -- 3 Genetic Algorithm -- 4 Methodology -- 5 Discussion -- References -- Fuzzy Logic-Based Approach for Back Analysis of VISA Granting Process -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 4 Results and Discussion -- 5 Conclusion -- References -- A Lucrative Model for Identifying Potential Adverse Effects from Biomedical Texts by Augmenting BERT and ELMo -- 1 Introduction -- 2 Background -- 2.1 Word Embedding -- 2.2 Bidirectional Gated Recurrent Units (BiGRUs) -- 2.3 Embeddings from Language Models (ELMo) -- 2.4 Transformer Networks -- 2.5 Bidirectional Encoder Representations from Transformers (BERT) -- 3 Methodology -- 3.1 Text Labeler for Extracting Adverse Effects from Biomedical Texts -- 3.2 Binary Classifier for Identifying Adverse Effects in Biomedical Texts -- 4 Results and Discussion -- 4.1 Performance of the Binary Classifier -- 4.2 Performance on the Text Labeler -- 5 Conclusion -- References -- An Intelligent Framework for Online Product Recommendation Using Collaborative Filtering -- 1 Introduction -- 2 Related Works -- 3 Background -- 3.1 Phases of Recommendation System -- 3.2 Types of Recommender Systems -- 4 Proposed Methodology -- 4.1 Amazon Products Review-Dataset -- 4.2 Data Preprocessing -- 4.3 User-Based Collaborative Filtering -- 4.4 Item-Based Collaborative Filtering. | |
5 Results and Discussion -- 6 Conclusion -- References -- Novel Method to Analyze and Forecast Social Impact on Macro- and Micro-Economies Using Social Media Data -- 1 Introduction -- 2 Related Work -- 3 Stock Markets and Social Media -- 3.1 Keyword Extraction -- 3.2 Incident Mining -- 3.3 Impact Analysis -- 3.4 Performance Isolation and Prediction -- 4 Research Methodology -- 5 Results and Experiments -- 6 Discussion -- 7 Conclusion and Further Work -- References -- Prediction of Malocclusion Pattern of the Orthodontic Patients Using a Classification Model -- 1 Introduction -- 2 Material and Methods -- 2.1 Data -- 2.2 Classification Models -- 2.3 Model Validation -- 3 Results and Discussion -- 4 Conclusion -- References -- An Ensemble Learning Approach for Automatic Emotion Classification of Sri Lankan Folk Music -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Tools and Resources -- 3.2 Dataset -- 3.3 Audio Preprocessing and Feature Extraction -- 3.4 Classifier Training -- 3.5 Ensemble Learning -- 3.6 Feature Selection -- 4 Results and Discussion -- 4.1 Performance of Individual Classifiers -- 4.2 Performance of the Classifier Ensemble -- 4.3 Classifier Performance After Applying Feature Selection Techniques -- 5 Conclusion -- References -- Mobile Application to Identify Fish Species Using YOLO and Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 YOLO -- 3.3 Convolutional Neural Network (CNN) -- 3.4 Implemented Architecture -- 3.5 Hardware and Software Used in the Experiment -- 4 Results -- 5 Conclusion -- References -- Pseudoscience Detection Using a Pre-trained Transformer Model with Intelligent ReLabeling -- 1 Introduction -- 1.1 Deep Learning for Pseudoscience Detection -- 2 Background -- 2.1 Indicators of Pseudoscience -- 2.2 Detecting Deception. | |
2.3 Natural Language Processing. | |
Titolo autorizzato: | Proceedings of International Conference on Sustainable Expert Systems |
ISBN: | 981-334-355-9 |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910483905103321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |