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Advances in Computing and Data Sciences . Part II : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, revised selected papers. / / Mayank Singh [and four others], editors
Advances in Computing and Data Sciences . Part II : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, revised selected papers. / / Mayank Singh [and four others], editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (464 pages)
Disciplina 004
Collana Communications in computer and information science
Soggetto topico Artificial intelligence
Computer science
Internet of things
ISBN 3-031-12641-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910585788903321
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computing and Data Sciences . Part II : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, revised selected papers. / / Mayank Singh [and four others], editors
Advances in Computing and Data Sciences . Part II : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, revised selected papers. / / Mayank Singh [and four others], editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Descrizione fisica 1 online resource (464 pages)
Disciplina 004
Collana Communications in computer and information science
Soggetto topico Artificial intelligence
Computer science
Internet of things
ISBN 3-031-12641-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996483158003316
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in computing and data sciences : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, Revised selected papers. Part I / / Mayank Singh [and four others] editors
Advances in computing and data sciences : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, Revised selected papers. Part I / / Mayank Singh [and four others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (448 pages)
Disciplina 006.3
Collana Communications in computer and information science
Soggetto topico Artificial intelligence
Computer science
ISBN 3-031-12638-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Hardware Description Language Enhancements for High Level Synthesis of Hardware Accelerators -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Syntax Identification and Code Extraction -- 3.2 Syntax Transformation -- 3.3 Code Replacement -- 4 Implementation -- 4.1 Keyword Extractor -- 4.2 Argument Extractor -- 4.3 Syntax Transformation -- 5 Results -- 6 Conclusion and Future Work -- References -- CrDrcnn: Design and Development of Crow Optimization-Based Deep Recurrent Neural Network for Software Defect Prediction -- 1 Introduction -- 2 Related Works -- 2.1 Challenges -- 2.2 Feature Selection Using Wrapper Algorithm -- 3 Proposed Software Defect Prediction Model Using the Optimized Deep NN Classifier: -- 3.1 Software Defect Prediction Using Proposed Crow Optimization-Based DNN for Software Defect Prediction -- 4 Results and Discussion -- 4.1 Experimental Setup: -- 4.2 Performance Metrics -- 4.3 Comparative Analysis -- 4.4 Comparative Discussion -- 5 Conclusion -- References -- Text Sentiment Analysis Using the Bald Eagle-Based Bidirectional Long Short-Term Memory -- 1 Introduction -- 2 Motivation -- 3 Proposed Model for Sentiment Analysis Using the Textual Data -- 3.1 Data Pre-processing: -- 3.2 Feature Extraction -- 3.3 Textual Sentimental Analysis Using the Proposed Bald Eagle-Based Deep BiLSTM Classifier -- 3.4 Architecture of BiLSTM Classifier -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Parameter Metrics -- 4.3 Experimental Setup -- 4.4 Comparative Methods -- 4.5 Comparative Analysis of Bald Eagle Based BiLSTM Classifier -- 5 Conclusion -- References -- Comparison of Multiple Machine Learning Approaches and Sentiment Analysis in Detection of Spam -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Result Analysis.
5 Conclusion -- References -- A Voice Assisted Chatbot Framework for Real-Time Implementation in Medical Care -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 4 Algorithm and Results -- 5 Conclusion -- References -- Robust Vehicle Detection for Highway Monitoring Using Histogram of Oriented Gradients and Reduced Support Vector Machine -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Feature Extraction -- 3.2 Detection -- 3.3 Classification -- 4 Results and Discussion -- 5 Conclusion -- References -- A Secure Framework Based on Nature-Inspired Optimization for Vehicle Routing -- 1 Introduction -- 2 State of the Art -- 3 Proposed Framework -- 3.1 Registration Process -- 3.2 Communication Process -- 3.3 Proposed Algorithm for Vehicle Routing -- 4 Performance Evaluation -- 5 Conclusion -- References -- Detection of Bangla Hate Comments and Cyberbullying in Social Media Using NLP and Transformer Models -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 4 Methodology -- 4.1 Preprocessing -- 4.2 Transformer Models -- 5 Result and Analysis -- 6 Conclusion -- References -- A Modified Pyramid Scale Network for Crowd Counting -- 1 Introduction -- 2 Related Works -- 3 The Proposed Method -- 3.1 Modified PSNet -- 3.2 Modified Pyramid Scale Module -- 3.3 Implementation Details -- 4 Experiments and Discussion -- 4.1 Evaluation Metrics -- 4.2 ShanghaiTech dataset -- 4.3 UCFCC50 -- 5 Conclusions and Future Scope -- References -- Driving Impact in Claims Denial Management Using Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Data Summary -- 4 Methodology -- 4.1 Ground Truth -- 4.2 Data Preparation -- 4.3 Feature Selection -- 4.4 Model Development -- 4.5 Explainability Using SHAP -- 4.6 Joint Probability -- 5 Results and Discussion -- 5.1 Stratification -- 5.2 Strengths -- 6 Conclusion -- References.
Identification of Landslide Vulnerability Zones and Triggering Factors Using Deep Neural Networks - An Experimental Analysis -- 1 Introduction -- 1.1 Study Area -- 1.2 Types of Landslides in Kerala -- 2 Related Work -- 3 Proposed Work -- 3.1 Spatial Database -- 3.2 Deep Neural Networks -- 4 Experimental Setup -- 5 Experimental Results -- 6 Conclusion -- References -- Classifying Offensive Speech of Bangla Text and Analysis Using Explainable AI -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Long Short Term Memory (LSTM) -- 4.3 Support Vector Machine (SVM) -- 5 Result and Analysis -- 5.1 Classifiers and Accuracy -- 5.2 Explainable AI -- 6 Conclusion and Future Work -- 6.1 Conclusion -- 6.2 Future Work -- References -- Android Malware Detection Using Hybrid Meta-heuristic Feature Selection and Ensemble Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 The proposed Android Malware Detection using hybrid meta-heuristic feature selection and Ensemble Learning Techniques -- 3.1 Feature Selection Process -- 3.2 Ensemble Learning-based Malware Detection -- 4 Performance Evaluation and Discussion -- 4.1 Without Feature Selection -- 4.2 With Feature Selection -- 5 Conclusion -- References -- Scoring Scheme to Determine the Sensitive Information Level in Surface Web and Dark Web -- 1 Introduction -- 1.1 Personal Information and Sensitive Information -- 1.2 Pastes -- 2 Background -- 2.1 Personal Information -- 2.2 Sensitive Information -- 2.3 Sensitive Personal Information -- 2.4 Types of Sensitive Information -- 3 Implementation -- 4 Results -- 5 Conclusion -- References -- Video Descriptor Using Attention Mechanism -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Encoder -- 3.2 Decoder -- 3.3 NLP -- 4 Training Procedure -- 5 Results -- 6 Conclusion -- References.
Informative Software Defect Data Generation and Prediction: INF-SMOTE -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Elimination Uninformative Samples -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Metric -- 4.3 Experimental Results -- 5 Conclusion and Future Work -- References -- 2D-CNN Model for Classification of Neural Activity Using Task-Based fMRI -- 1 Introduction -- 1.1 Deep Neural Network Framework -- 2 Related Work -- 2.1 Neural Activity -- 2.2 Deep Learning Approaches -- 3 Materials and Methods -- 3.1 Dataset Analysis -- 3.2 Methodology -- 3.3 Functional Connectivity Analysis -- 4 Proposed Network Architecture -- 5 Experimental Results -- 5.1 Prediction Accuracy of the Proposed 2D-CNN Model -- 5.2 Evaluation of Model Performance -- 5.3 Classification of Voxel Response fMRI Images -- 6 Conclusion -- References -- Real-Time Multi-task Network for Autonomous Driving -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Backbone Network -- 3.2 Neck Network -- 3.3 Detection Head -- 3.4 Segmentation Head -- 3.5 Loss Function -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Results -- 5 Conclusion -- References -- Cardiovascular Disease Classification Based on Machine Learning Algorithms Using GridSearchCV, Cross Validation and Stacked Ensemble Methods -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology -- 3.1 Proposed Approach -- 3.2 Cross Validation, Stacked Ensemble, GridSearchCV Method -- 4 Experimental Design -- 4.1 Dataset Description -- 4.2 Data Pre-processing -- 4.3 Baseline Models -- 4.4 Evaluation Classifier Performance -- 4.5 Implementation Specifics -- 5 Experiment Results -- 5.1 Accuracy -- 5.2 AUC, ROC, Precision and Recall -- 5.3 KS Statistics -- 5.4 Cumulative Gain and Lift Curve -- 5.5 Learning Curve and Calibration Curve -- 5.6 Cross Validation Score.
6 Conclusion and Future Work -- References -- Human Emotion Recognition from Body Posture with Machine Learning Techniques -- 1 Introduction -- 2 Prior Research -- 3 Proposed Approach -- 4 Emotion Classification Using Machine Learning Models -- 5 Experimental Results and Discussion -- 5.1 GEMEP Dataset -- 5.2 Performance Metrics -- 5.3 Results and Discussion -- 6 Conclusion -- References -- A Body Area Network Approach for Stroke-Related Disease Diagnosis Using Artificial Intelligence with Deep Learning Techniques -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 3.1 Data Preprocessing -- 3.2 Proposed Model -- 4 Deep Learning Models -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Radial Basic Function(RBF) -- 4.3 Multilayer Perceptron (MLPs) -- 4.4 Deep Belief Networks (DBNs) -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Evaluation Metrics -- 5.3 Mathematical Model -- 6 Results and Discussion -- 6.1 Accuracy Results Based on Dataset -- 6.2 Accuracy Results Based on Deep Learning Models -- 6.3 Accuracy Results Based Training Data Set -- 7 Conclusion -- References -- Accelerating the Performance of Sequence Classification Using GPU Based Ensemble Learning with Extreme Gradient Boosting -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Result and Discussion -- References -- Automated Vehicle Number Recognition Scheme Using Neural Networks -- 1 Introduction -- 2 Lıterature Survey -- 3 System Model -- 4 Experimental Results -- 5 Conclusion -- References -- Noise Prediction Using LIDAR 3D Point Data - Determination of Terrain Parameters for Modelling -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Result and Discussion -- 4.1 LIDAR Data Acquisition -- 4.2 Building Extraction -- 4.3 Building Corner Estimation -- 4.4 Path Determination -- 4.5 Formulation for Determination of Terrain parameters.
5 Determination of Terrain Parameter and Noise Mapping.
Record Nr. UNINA-9910585787403321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in computing and data sciences : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, Revised selected papers. Part I / / Mayank Singh [and four others] editors
Advances in computing and data sciences : 6th International Conference, ICACDS 2022, Kurnool, India, April 22-23, 2022, Revised selected papers. Part I / / Mayank Singh [and four others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (448 pages)
Disciplina 006.3
Collana Communications in computer and information science
Soggetto topico Artificial intelligence
Computer science
ISBN 3-031-12638-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Hardware Description Language Enhancements for High Level Synthesis of Hardware Accelerators -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Syntax Identification and Code Extraction -- 3.2 Syntax Transformation -- 3.3 Code Replacement -- 4 Implementation -- 4.1 Keyword Extractor -- 4.2 Argument Extractor -- 4.3 Syntax Transformation -- 5 Results -- 6 Conclusion and Future Work -- References -- CrDrcnn: Design and Development of Crow Optimization-Based Deep Recurrent Neural Network for Software Defect Prediction -- 1 Introduction -- 2 Related Works -- 2.1 Challenges -- 2.2 Feature Selection Using Wrapper Algorithm -- 3 Proposed Software Defect Prediction Model Using the Optimized Deep NN Classifier: -- 3.1 Software Defect Prediction Using Proposed Crow Optimization-Based DNN for Software Defect Prediction -- 4 Results and Discussion -- 4.1 Experimental Setup: -- 4.2 Performance Metrics -- 4.3 Comparative Analysis -- 4.4 Comparative Discussion -- 5 Conclusion -- References -- Text Sentiment Analysis Using the Bald Eagle-Based Bidirectional Long Short-Term Memory -- 1 Introduction -- 2 Motivation -- 3 Proposed Model for Sentiment Analysis Using the Textual Data -- 3.1 Data Pre-processing: -- 3.2 Feature Extraction -- 3.3 Textual Sentimental Analysis Using the Proposed Bald Eagle-Based Deep BiLSTM Classifier -- 3.4 Architecture of BiLSTM Classifier -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Parameter Metrics -- 4.3 Experimental Setup -- 4.4 Comparative Methods -- 4.5 Comparative Analysis of Bald Eagle Based BiLSTM Classifier -- 5 Conclusion -- References -- Comparison of Multiple Machine Learning Approaches and Sentiment Analysis in Detection of Spam -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Result Analysis.
5 Conclusion -- References -- A Voice Assisted Chatbot Framework for Real-Time Implementation in Medical Care -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 4 Algorithm and Results -- 5 Conclusion -- References -- Robust Vehicle Detection for Highway Monitoring Using Histogram of Oriented Gradients and Reduced Support Vector Machine -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Feature Extraction -- 3.2 Detection -- 3.3 Classification -- 4 Results and Discussion -- 5 Conclusion -- References -- A Secure Framework Based on Nature-Inspired Optimization for Vehicle Routing -- 1 Introduction -- 2 State of the Art -- 3 Proposed Framework -- 3.1 Registration Process -- 3.2 Communication Process -- 3.3 Proposed Algorithm for Vehicle Routing -- 4 Performance Evaluation -- 5 Conclusion -- References -- Detection of Bangla Hate Comments and Cyberbullying in Social Media Using NLP and Transformer Models -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 4 Methodology -- 4.1 Preprocessing -- 4.2 Transformer Models -- 5 Result and Analysis -- 6 Conclusion -- References -- A Modified Pyramid Scale Network for Crowd Counting -- 1 Introduction -- 2 Related Works -- 3 The Proposed Method -- 3.1 Modified PSNet -- 3.2 Modified Pyramid Scale Module -- 3.3 Implementation Details -- 4 Experiments and Discussion -- 4.1 Evaluation Metrics -- 4.2 ShanghaiTech dataset -- 4.3 UCFCC50 -- 5 Conclusions and Future Scope -- References -- Driving Impact in Claims Denial Management Using Artificial Intelligence -- 1 Introduction -- 2 Literature Review -- 3 Data Summary -- 4 Methodology -- 4.1 Ground Truth -- 4.2 Data Preparation -- 4.3 Feature Selection -- 4.4 Model Development -- 4.5 Explainability Using SHAP -- 4.6 Joint Probability -- 5 Results and Discussion -- 5.1 Stratification -- 5.2 Strengths -- 6 Conclusion -- References.
Identification of Landslide Vulnerability Zones and Triggering Factors Using Deep Neural Networks - An Experimental Analysis -- 1 Introduction -- 1.1 Study Area -- 1.2 Types of Landslides in Kerala -- 2 Related Work -- 3 Proposed Work -- 3.1 Spatial Database -- 3.2 Deep Neural Networks -- 4 Experimental Setup -- 5 Experimental Results -- 6 Conclusion -- References -- Classifying Offensive Speech of Bangla Text and Analysis Using Explainable AI -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Long Short Term Memory (LSTM) -- 4.3 Support Vector Machine (SVM) -- 5 Result and Analysis -- 5.1 Classifiers and Accuracy -- 5.2 Explainable AI -- 6 Conclusion and Future Work -- 6.1 Conclusion -- 6.2 Future Work -- References -- Android Malware Detection Using Hybrid Meta-heuristic Feature Selection and Ensemble Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 The proposed Android Malware Detection using hybrid meta-heuristic feature selection and Ensemble Learning Techniques -- 3.1 Feature Selection Process -- 3.2 Ensemble Learning-based Malware Detection -- 4 Performance Evaluation and Discussion -- 4.1 Without Feature Selection -- 4.2 With Feature Selection -- 5 Conclusion -- References -- Scoring Scheme to Determine the Sensitive Information Level in Surface Web and Dark Web -- 1 Introduction -- 1.1 Personal Information and Sensitive Information -- 1.2 Pastes -- 2 Background -- 2.1 Personal Information -- 2.2 Sensitive Information -- 2.3 Sensitive Personal Information -- 2.4 Types of Sensitive Information -- 3 Implementation -- 4 Results -- 5 Conclusion -- References -- Video Descriptor Using Attention Mechanism -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Encoder -- 3.2 Decoder -- 3.3 NLP -- 4 Training Procedure -- 5 Results -- 6 Conclusion -- References.
Informative Software Defect Data Generation and Prediction: INF-SMOTE -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Elimination Uninformative Samples -- 4 Experiments -- 4.1 Datasets -- 4.2 Evaluation Metric -- 4.3 Experimental Results -- 5 Conclusion and Future Work -- References -- 2D-CNN Model for Classification of Neural Activity Using Task-Based fMRI -- 1 Introduction -- 1.1 Deep Neural Network Framework -- 2 Related Work -- 2.1 Neural Activity -- 2.2 Deep Learning Approaches -- 3 Materials and Methods -- 3.1 Dataset Analysis -- 3.2 Methodology -- 3.3 Functional Connectivity Analysis -- 4 Proposed Network Architecture -- 5 Experimental Results -- 5.1 Prediction Accuracy of the Proposed 2D-CNN Model -- 5.2 Evaluation of Model Performance -- 5.3 Classification of Voxel Response fMRI Images -- 6 Conclusion -- References -- Real-Time Multi-task Network for Autonomous Driving -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Backbone Network -- 3.2 Neck Network -- 3.3 Detection Head -- 3.4 Segmentation Head -- 3.5 Loss Function -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Results -- 5 Conclusion -- References -- Cardiovascular Disease Classification Based on Machine Learning Algorithms Using GridSearchCV, Cross Validation and Stacked Ensemble Methods -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology -- 3.1 Proposed Approach -- 3.2 Cross Validation, Stacked Ensemble, GridSearchCV Method -- 4 Experimental Design -- 4.1 Dataset Description -- 4.2 Data Pre-processing -- 4.3 Baseline Models -- 4.4 Evaluation Classifier Performance -- 4.5 Implementation Specifics -- 5 Experiment Results -- 5.1 Accuracy -- 5.2 AUC, ROC, Precision and Recall -- 5.3 KS Statistics -- 5.4 Cumulative Gain and Lift Curve -- 5.5 Learning Curve and Calibration Curve -- 5.6 Cross Validation Score.
6 Conclusion and Future Work -- References -- Human Emotion Recognition from Body Posture with Machine Learning Techniques -- 1 Introduction -- 2 Prior Research -- 3 Proposed Approach -- 4 Emotion Classification Using Machine Learning Models -- 5 Experimental Results and Discussion -- 5.1 GEMEP Dataset -- 5.2 Performance Metrics -- 5.3 Results and Discussion -- 6 Conclusion -- References -- A Body Area Network Approach for Stroke-Related Disease Diagnosis Using Artificial Intelligence with Deep Learning Techniques -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 3.1 Data Preprocessing -- 3.2 Proposed Model -- 4 Deep Learning Models -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Radial Basic Function(RBF) -- 4.3 Multilayer Perceptron (MLPs) -- 4.4 Deep Belief Networks (DBNs) -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Evaluation Metrics -- 5.3 Mathematical Model -- 6 Results and Discussion -- 6.1 Accuracy Results Based on Dataset -- 6.2 Accuracy Results Based on Deep Learning Models -- 6.3 Accuracy Results Based Training Data Set -- 7 Conclusion -- References -- Accelerating the Performance of Sequence Classification Using GPU Based Ensemble Learning with Extreme Gradient Boosting -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Result and Discussion -- References -- Automated Vehicle Number Recognition Scheme Using Neural Networks -- 1 Introduction -- 2 Lıterature Survey -- 3 System Model -- 4 Experimental Results -- 5 Conclusion -- References -- Noise Prediction Using LIDAR 3D Point Data - Determination of Terrain Parameters for Modelling -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Result and Discussion -- 4.1 LIDAR Data Acquisition -- 4.2 Building Extraction -- 4.3 Building Corner Estimation -- 4.4 Path Determination -- 4.5 Formulation for Determination of Terrain parameters.
5 Determination of Terrain Parameter and Noise Mapping.
Record Nr. UNISA-996483159303316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Computing and Data Sciences [[electronic resource] ] : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Gianluca Valentino
Advances in Computing and Data Sciences [[electronic resource] ] : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Gianluca Valentino
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 520 p. 249 illus., 172 illus. in color.)
Disciplina 004.678
Collana Communications in Computer and Information Science
Soggetto topico Data structures (Computer science)
Computers
Machine learning
Application software
Computer organization
Education—Data processing
Data Structures and Information Theory
Information Systems and Communication Service
Machine Learning
Computer Appl. in Social and Behavioral Sciences
Computer Systems Organization and Communication Networks
Computers and Education
ISBN 981-15-6634-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910413447903321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computing and Data Sciences [[electronic resource] ] : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Gianluca Valentino
Advances in Computing and Data Sciences [[electronic resource] ] : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Gianluca Valentino
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIV, 520 p. 249 illus., 172 illus. in color.)
Disciplina 004.678
Collana Communications in Computer and Information Science
Soggetto topico Data structures (Computer science)
Computers
Machine learning
Application software
Computer organization
Education—Data processing
Data Structures and Information Theory
Information Systems and Communication Service
Machine Learning
Computer Appl. in Social and Behavioral Sciences
Computer Systems Organization and Communication Networks
Computers and Education
ISBN 981-15-6634-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996465342903316
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Computing and Data Sciences [[electronic resource] ] : Third International Conference, ICACDS 2019, Ghaziabad, India, April 12–13, 2019, Revised Selected Papers, Part I / / edited by Mayank Singh, P.K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Rekha Kashyap
Advances in Computing and Data Sciences [[electronic resource] ] : Third International Conference, ICACDS 2019, Ghaziabad, India, April 12–13, 2019, Revised Selected Papers, Part I / / edited by Mayank Singh, P.K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Rekha Kashyap
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (532 pages)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Data structures (Computer science)
Artificial intelligence
Computers
Optical data processing
Computer security
Law and legislation
Data Structures and Information Theory
Artificial Intelligence
Information Systems and Communication Service
Image Processing and Computer Vision
Systems and Data Security
Legal Aspects of Computing
ISBN 981-13-9939-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910350216903321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computing and Data Sciences [[electronic resource] ] : Third International Conference, ICACDS 2019, Ghaziabad, India, April 12–13, 2019, Revised Selected Papers, Part II / / edited by Mayank Singh, P.K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Rekha Kashyap
Advances in Computing and Data Sciences [[electronic resource] ] : Third International Conference, ICACDS 2019, Ghaziabad, India, April 12–13, 2019, Revised Selected Papers, Part II / / edited by Mayank Singh, P.K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Rekha Kashyap
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (771 pages)
Disciplina 005.8
Collana Communications in Computer and Information Science
Soggetto topico Data structures (Computer science)
Artificial intelligence
Optical data processing
Computers
Computer security
Computer communication systems
Data Structures and Information Theory
Artificial Intelligence
Image Processing and Computer Vision
Information Systems and Communication Service
Systems and Data Security
Computer Communication Networks
ISBN 981-13-9942-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910350217403321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computing and Data Sciences [[electronic resource] ] : Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part I / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören
Advances in Computing and Data Sciences [[electronic resource] ] : Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part I / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XXI, 556 p.)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Data structures (Computer science)
Computers
Data Structures and Information Theory
Information Systems and Communication Service
ISBN 981-13-1810-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299289803321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Computing and Data Sciences [[electronic resource] ] : Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part II / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören
Advances in Computing and Data Sciences [[electronic resource] ] : Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part II / / edited by Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XXI, 578 p. 323 illus.)
Disciplina 004
Collana Communications in Computer and Information Science
Soggetto topico Data structures (Computer science)
Computers
Data Structures and Information Theory
Information Systems and Communication Service
ISBN 981-13-1813-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299290003321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui