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Advances in Computing and Data Sciences [[electronic resource] ] : 7th International Conference, ICACDS 2023, Kolkata, India, April 27–28, 2023, Revised Selected Papers / / edited by Mayank Singh, Vipin Tyagi, P.K. Gupta, Jan Flusser, Tuncer Ören
| Advances in Computing and Data Sciences [[electronic resource] ] : 7th International Conference, ICACDS 2023, Kolkata, India, April 27–28, 2023, Revised Selected Papers / / edited by Mayank Singh, Vipin Tyagi, P.K. Gupta, Jan Flusser, Tuncer Ören |
| Autore | Singh Mayank |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (611 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
TyagiVipin
GuptaP. K FlusserJan ÖrenTuncer |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data structures (Computer science)
Information theory Application software Machine learning Computers Data Structures and Information Theory Computer and Information Systems Applications Machine Learning Computing Milieux |
| ISBN | 3-031-37940-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Text based Traffic Signboard Detection using YOLO v7 Architecture -- Energy Preserving ABE-based Data Security Scheme for Fog Computing -- An Approach for Effective Object Detection -- An Algorithm for solving two variable linear diophantine equations -- Deep Watcher: A Surveillance System using Deep Learning for the COVID-19 Pandemic -- Multiple linear regression based analysis of weather data for precipitation and visibility prediction -- Optimal and Event Driven Adaptive Fault Diagnosis for Arbitrary Network -- Analysis of Routing in IoT -- Autism children Behavioural Identification from Facial Regions through Thermal Image interpretations -- Synthesis of Elementary Cellular Automata for Targeted Cache Applications -- Optimal Perfect Phylogeny using ILP and Continuous Approximations -- A Novel Method for Near-Duplicate Image Detection Using Global Features -- VSMAS2HN: Verifiably Secure Mutual Authentication Scheme for Smart Healthcare Network -- Optimal KAZE and AKAZE Features for Facial Similarity Matching -- Modified InceptionV3 using Soft Attention for the Grading of Diabetic Retinopathy -- Comprehensive Study of Cyber Security in AI Based Smart Grid -- Sentiment classification of Diabetes-related tweets using transformer-based deep learning approach -- Assessment and prediction of a cyclonic event: A Deep learning model -- Technology enabled Self-directed learning: A review and framework -- Detecting Toxic comments using FastText, CNN, and LSTM models -- UEye: Insights on User Interface Design using Eye Movement Visualizations -- Code Mixed Information Retrieval for Gujarati Script News Articles -- Plant Disease classification using VGG-19 based Faster-RCNN -- Classification of Real and Deepfakes visual samples with pre-trained deep learning models -- Deep Learning based Speech Synthesis with Emotion Overlay -- An Ensemble Deep Learning Algorithm to Predict PM2.5 Concentration Levels in Bengaluru's Atmosphere -- Deep learning model based on a Transformers network for sentiment analysis using NLP in sports worldwide -- An Effective Framework for Sentiment Analysis using RNN and LSTM-based Deep Learning Approaches -- Spatial Domain Method for Image Analysis: A Grey-Level Computation Approach -- Crop yield prediction for smart agriculture with climatic parameters using Random Forest -- Implementation of XGBoost Regression for Calories Burnt Prediction using R -- Text Data Augmentation Using Generative Adversarial Networks, Back Translation and EDA -- Machine Learning-Based Temperature Monitoring and Prediction -- Pathrank Algorithm: Ranking Proteins in Mycobacterium tuberculosis and Human PPI Weighted Bipartite Graph Network -- Circ RNA based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV using Machine Learning -- Ensemble Approach to Classify Spam SMS from -- A Scientific Study for Breast Cancer Detection Using Various Machine Learning Algorithms -- YOLO based segmentation and CNN based classification Framework for epithelial and pus cell detection -- Employing a Novel Metaheuristic Algorithm to Optimize an LSTM Model: A Case Study of Stock Market Prediction -- Driver Dozy Discernment using Neural Networks with SVM Variants -- An Efficient (MFFPA-2) Multiple Fuzzy Frequent Patterns Mining with Adjacency matrix and Type-2 Member function -- Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-based Approach -- Spear Phishing Using Machine Learning -- An Interpretable Deep Learning model for Skin Lesion Classification -- Unsupervised Ambient Vibration-Based Feature Extraction for Structural Damage Detection -- A New Grey Correlational Compromise Ranking Approach for Portfolio Selection for Investment in ESG Stocks -- Decision Tree based Test Case Generation using Story Board and Natural Language Processing. |
| Record Nr. | UNISA-996546838903316 |
Singh Mayank
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Computing and Data Sciences : 7th International Conference, ICACDS 2023, Kolkata, India, April 27–28, 2023, Revised Selected Papers / / edited by Mayank Singh, Vipin Tyagi, P.K. Gupta, Jan Flusser, Tuncer Ören
| Advances in Computing and Data Sciences : 7th International Conference, ICACDS 2023, Kolkata, India, April 27–28, 2023, Revised Selected Papers / / edited by Mayank Singh, Vipin Tyagi, P.K. Gupta, Jan Flusser, Tuncer Ören |
| Autore | Singh Mayank |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (611 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
TyagiVipin
GuptaP. K FlusserJan ÖrenTuncer |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data structures (Computer science)
Information theory Application software Machine learning Computers Data Structures and Information Theory Computer and Information Systems Applications Machine Learning Computing Milieux |
| ISBN | 3-031-37940-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Text based Traffic Signboard Detection using YOLO v7 Architecture -- Energy Preserving ABE-based Data Security Scheme for Fog Computing -- An Approach for Effective Object Detection -- An Algorithm for solving two variable linear diophantine equations -- Deep Watcher: A Surveillance System using Deep Learning for the COVID-19 Pandemic -- Multiple linear regression based analysis of weather data for precipitation and visibility prediction -- Optimal and Event Driven Adaptive Fault Diagnosis for Arbitrary Network -- Analysis of Routing in IoT -- Autism children Behavioural Identification from Facial Regions through Thermal Image interpretations -- Synthesis of Elementary Cellular Automata for Targeted Cache Applications -- Optimal Perfect Phylogeny using ILP and Continuous Approximations -- A Novel Method for Near-Duplicate Image Detection Using Global Features -- VSMAS2HN: Verifiably Secure Mutual Authentication Scheme for Smart Healthcare Network -- Optimal KAZE and AKAZE Features for Facial Similarity Matching -- Modified InceptionV3 using Soft Attention for the Grading of Diabetic Retinopathy -- Comprehensive Study of Cyber Security in AI Based Smart Grid -- Sentiment classification of Diabetes-related tweets using transformer-based deep learning approach -- Assessment and prediction of a cyclonic event: A Deep learning model -- Technology enabled Self-directed learning: A review and framework -- Detecting Toxic comments using FastText, CNN, and LSTM models -- UEye: Insights on User Interface Design using Eye Movement Visualizations -- Code Mixed Information Retrieval for Gujarati Script News Articles -- Plant Disease classification using VGG-19 based Faster-RCNN -- Classification of Real and Deepfakes visual samples with pre-trained deep learning models -- Deep Learning based Speech Synthesis with Emotion Overlay -- An Ensemble Deep Learning Algorithm to Predict PM2.5 Concentration Levels in Bengaluru's Atmosphere -- Deep learning model based on a Transformers network for sentiment analysis using NLP in sports worldwide -- An Effective Framework for Sentiment Analysis using RNN and LSTM-based Deep Learning Approaches -- Spatial Domain Method for Image Analysis: A Grey-Level Computation Approach -- Crop yield prediction for smart agriculture with climatic parameters using Random Forest -- Implementation of XGBoost Regression for Calories Burnt Prediction using R -- Text Data Augmentation Using Generative Adversarial Networks, Back Translation and EDA -- Machine Learning-Based Temperature Monitoring and Prediction -- Pathrank Algorithm: Ranking Proteins in Mycobacterium tuberculosis and Human PPI Weighted Bipartite Graph Network -- Circ RNA based Classification of SARS CoV-2, SARS CoV-1 and MERS-CoV using Machine Learning -- Ensemble Approach to Classify Spam SMS from -- A Scientific Study for Breast Cancer Detection Using Various Machine Learning Algorithms -- YOLO based segmentation and CNN based classification Framework for epithelial and pus cell detection -- Employing a Novel Metaheuristic Algorithm to Optimize an LSTM Model: A Case Study of Stock Market Prediction -- Driver Dozy Discernment using Neural Networks with SVM Variants -- An Efficient (MFFPA-2) Multiple Fuzzy Frequent Patterns Mining with Adjacency matrix and Type-2 Member function -- Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-based Approach -- Spear Phishing Using Machine Learning -- An Interpretable Deep Learning model for Skin Lesion Classification -- Unsupervised Ambient Vibration-Based Feature Extraction for Structural Damage Detection -- A New Grey Correlational Compromise Ranking Approach for Portfolio Selection for Investment in ESG Stocks -- Decision Tree based Test Case Generation using Story Board and Natural Language Processing. |
| Record Nr. | UNINA-9910735785503321 |
|
Singh Mayank
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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]
| 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] |
| Autore | Singh Mayank |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (447 pages) |
| Disciplina | 005.8 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Computer security |
| ISBN | 3-030-88244-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 -- 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.
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. 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 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. 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. 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 -- 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. 2.1 Proposed Embedding Scheme. |
| Record Nr. | UNISA-996464436303316 |
|
Singh Mayank
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
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]
| 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] |
| Autore | Singh Mayank |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (447 pages) |
| Disciplina | 005.8 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Computer security |
| ISBN | 3-030-88244-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
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 -- 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.
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. 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 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. 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. 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 -- 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. 2.1 Proposed Embedding Scheme. |
| Record Nr. | UNINA-9910506407003321 |
|
Singh Mayank
|
||
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||