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[null,"1.","Record Nr.",null,"UNISA996464436303316"]
[null,null,"Autore",null,"Singh Mayank"]
[null,null,"Titolo",null,"Advances in computing and data sciences : 5th international conference, ICACDS 2021, Nashik, India, April 23-24, 2021, revised selected papers, part II / / Mayank Singh [and five others]"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-88244-6"]
[null,null,"Descrizione fisica",null,"1 online resource (447 pages)"]
[null,null,"Collana",null,"Communications in Computer and Information Science ; ; v.1441"]
[null,null,"Disciplina",null,"005.8"]
[null,null,"Soggetti",null,"Computer security"]
[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 - Part II -- Contents - Part I -- Predicting Seasonal Vaccines and H1N1 Vaccines Using Machine Learning Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Data Analysis -- 3.1 Dataset -- 3.2 Data Cleaning and Pre-processing -- 3.3 Data Visualization -- 4 Training and Testing the Model -- 5 Methodologies -- 5.1 Method 1 - OneVsRest -- 5.2 Gradient Boosting -- 6 Results and Evaluation -- 7 Conclusion -- References -- Handling Class Imbalance in Electroencephalography Data Using Synthetic Minority Oversampling Technique -- 1 Introduction -- 2 Dataset Information and Preprocessing -- 3 Epileptic Seizure State Recognition Model -- 3.1 Synthetic Minority Oversampling Technique (SMOTE) -- 3.2 Random Forest Classifier -- 4 Performance Evaluation Parameters -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Dissemination of Firm's Market Information: Application of Kermack-Mckendrick SIR Model -- 1 Introduction -- 2 Related Work -- 2.1 The Kermack-Mckendrick SIR Model -- 3 Methodology -- 3.1 Product Information Dissemination Model -- 3.2 State Changes in Product Information Transmission -- 4 Experiments -- 4.1 For Eqs.1, 2 and 3 -- 4.2 For Eqs.11, 12 and 13 -- 5 Conclusion and Future Work -- References -- Improving Image-Based Dialog by Reducing Modality Biases -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 System Workflow -- 3.2 Dataset Used -- 3.3 Feature Extraction and Dense Caption Generation -- 3.4 Attention Mechanism -- 3.5 Network Architecture -- 4 Experimentation and Results -- 5 Conclusion and Future Scope -- "]
[{"$nulls":4},"References -- Dependency Parser for Hindi Using Integer Linear Programming -- 1 Introduction -- 2 Literature Survey -- 3 Paninian Grammar -- 3.1 Karaka Relations -- 4 Methodology -- 5 Results and Discussions -- 6 Conclusion and Future Scope."]
[{"$nulls":4},"References -- Medical Records Management Using Distributed Ledger and Storage -- 1 Introduction -- 2 Related Works -- 3 Proposed Solution -- 3.1 System Architecture -- 3.2 Usecases -- 4 Conclusion and Future Work -- References -- Detection of Depression and Suicidal Ideation on Social Media: An Intrinsic Review -- 1 Introduction -- 2 Datasource and Dataset Characteristics -- 3 Methodology/Assessment Criteria for Modeling -- 3.1 Preprocessing -- 3.2 Feature Extraction -- 3.3 Topic Modeling -- 3.4 Model Approaches -- 4 Discussion -- 5 Conclusion -- 6 Future Work -- References -- Frequency Based Feature Extraction Technique for Text Documents in Tamil Language -- 1 Introduction -- 1.1 Feature Extraction and Feature Selection -- 2 Literature Survey -- 3 Feature Extraction Techniques -- 4 Frequency-Based Feature Extraction Architecture -- 5 Results and Discussion -- 6 Conclusion -- References -- An Approach of Devanagari License Plate Detection and Recognition Using Deep Learning -- 1 Introduction -- 1.1 Nepali License Plate (NLP) -- 2 Related Works -- 3 Proposed Method -- 3.1 Detection and Localization -- 3.2 Image Processing and Segmentation of LP Characters -- 3.3 Feature Extraction and Character Training -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 LP Detection, Localization and Segmentation Results -- 4.3 Character Prediction Results -- 5 Conclusion -- References -- COMBINE: A Pipeline for SQL Generation from Natural Language -- 1 Introduction -- 2 Related Work -- 3 Text-To-SQL Task -- 3.1 Task Definition -- 3.2 DataSet -- 4 COMBINE: Our Pipeline for SQL Generation -- 4.1 Ensemble Learning (EL) -- 4.2 COMBINE: Description and Architecture -- 5 Evaluation and Results -- 5.1 Evaluation Metrics -- 5.2 Results -- 6 Conclusion -- References -- Recognition of Isolated Gestures for Indian Sign Language Using Transfer Learning -- 1 Introduction."]
[{"$nulls":4},"2 Previous Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Our Approach -- 4 Experiments and Results -- 4.1 Experiment on MNIST Sign Language Dataset -- 4.2 Experiment on IIITA Static Sign Language Dataset -- 5 Conclusion and Future Work -- References -- A Study of Five Models Based on Non-clinical Data for the Prediction of Diabetes Onset in Medically Under-Served Populations -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset Description -- 4 Model Analysis and Result Comparison -- 5 Conclusion -- References -- Representation and Visualization of Students' Progress Data Through Learning Dashboard -- 1 Introduction -- 1.1 Problem Identification -- 1.2 Research Gap and Objective -- 2 Literature Review and Theoretical Backgrounds -- 3 Research Study Design -- 4 Procedures -- 4.1 Data Input: The Input to the Tool Is -- 4.2 Data Cleaning and Preprocessing -- 5 Results and Findings -- 6 Conclusion and Future Work -- References -- Denoising of Computed Tomography Images for Improved Performance of Medical Devices in Biomedical Engineering -- 1 Introduction -- 1.1 Common Noises -- 2 Filters Used for Denoising -- 2.1 Mean Filter -- 2.2 Block Matching and 3D (BM3D) Filter -- 2.3 Anisotropic Diffusion Filter -- 2.4 Median Filter -- 2.5 Wiener Filter -- 2.6 Non Local Means (NLM) Filter -- 2.7 Gaussian Filter -- 2.8 Wavelet Filter -- 2.9 Total Variation Filter -- 2.10 Bilateral Filter -- 3 Literature Review -- 4 Materials -- 4.1 Dataset Description -- 4.2 Experimental Setup -- 5 Methodology -- 6 Results and Discussions -- 6.1 Denoising Performance Metrics -- 6.2 Performance Analysis -- 7 Conclusion "]
[{"$nulls":4},"and Future Scope -- References -- Image Dehazing Through Dark Channel Prior and Color Attenuation Prior -- 1 Introduction -- 2 Related Works -- 3 Proposed Methods -- 3.1 Color Attenuation Prior -- 3.2 Dark Channel Prior -- 3.3 Synthetic Fog."]
[{"$nulls":4},"4 Implementation -- 4.1 Dark Channel Prior -- 4.2 Color Attenuation Prior -- 5 Results and Discussion -- 6 Conclusion -- References -- Predicting the Death of Road Accidents in Bangladesh Using Machine Learning Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 3.3 Classification Rules Based Machine Learning Algorithms -- 4 Dataset Discussion and Result Analysis -- 4.1 Dataset Discussion -- 4.2 Result Analysis -- 5 Conclusions and Recommendations -- 5.1 Findings and Contributions -- 5.2 Limitations -- 5.3 Recommendations for Future Work -- References -- Numerical Computation of Finite Quaternion Mellin Transform Using a New Algorithm -- 1 Introduction -- 2 Literature Review -- 3 Preliminaries -- 3.1 Hat Functions -- 4 Method of Evaluation -- 4.1 Program Code -- 5 Numerical Illustrations -- 6 Conclusion -- References -- Predictive Modeling of Tandem Silicon Solar Cell for Calculating Efficiency -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Artificial Neural Network Modeling of Tandem Silicon Solar Cell -- 5 Performance of System at Diverse Numbers of Hidden Neurons -- 6 Conclusion -- References -- Text Summarization of an Article Extracted from Wikipedia Using NLTK Library -- 1 Introduction -- 2 Literature Review -- 3 Need of Text Summarization -- 4 Methods of Text Summarization -- 5 Benefits of Text Summarization -- 6 Applications of Text Summarization -- 7 Research Methodology -- 8 Design and Development of System -- 9 Result Analyses -- 10 Conclusion -- References -- Grapheme to Phoneme Mapping for Tamil Language -- 1 Introduction -- 2 Related Works -- 3 Graphemes and Phonemes -- 4 Deep Learning-Based g2p System -- 4.1 Methodology -- 4.2 Dataset -- 4.3 Data Pre-processing -- 4.4 RNN -- 4.5 Training -- 4.6 Inference -- 5 Experiments -- 6 Results."]
[{"$nulls":4},"6.1 g2p System Analysis -- 6.2 Performance of LSTM and BiLSTM -- 6.3 Graphical Illustration -- 7 Conclusion -- References -- Comparative Study of Physiological Signals from Empatica E4 Wristband for Stress Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Processing -- 4 Experimentation -- 5 Results -- 6 Discussion -- 7 Conclusion and Future Work -- References -- An E-Commerce Prototype for Predicting the Product Return Phenomenon Using Optimization and Regression Techniques -- 1 Introduction -- 2 Literature Review and Real-Time Surveys on Returns in e-Commerce -- 3 Empirical Research -- 3.1 Quantitative Operational Process -- 3.2 Understanding the Data -- 3.3 Variables Used in Optimizing Results -- 4 Hybrid Metaheuristic Based Regression Approach (HMRA) -- 5 Experimental Illustration -- 5.1 Manufacturer Return Percentage (Αmanufreturn) -- 5.2 Feedback Review Percentage (Βprodfeedback) -- 5.3 Final Return Prediction Percentage of Any Product (Δtpf) -- 6 Conclusion and Future Work -- References -- Crop Yield Prediction for India Using Regression Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Datasets Used -- 4 Proposed Model -- 4.1 Stage I: Data Pre-processing -- 4.2 Stage II: Model Comparison -- 4.3 Stage III: Optimized Yield Prediction -- 5 Result Analysis -- 6 Comparative Analysis -- 7 Conclusion -- References -- A Novel Framework for Multimodal Twitter Sentiment Analysis Using Feature Learning -- 1 Introduction -- 1.1 Contribution -- 2 Literature Review -- 3 Proposed Work -- 3.1 Data Collection -- "]
[{"$nulls":4},"3.2 Image Module -- 3.3 Text Module -- 3.4 Multimodal Module and Aggregate Module -- 4 Evaluation Results -- 5 Conclusion -- References -- An Iterative Approach Based Reversible Data Hiding with Weight Update for Dual Stego Images -- 1 Introduction -- 2 The Proposed Algorithm."]
[{"$nulls":4},"2.1 Proposed Embedding Scheme."]