Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Modeling, Simulation and Optimization : Proceedings of CoMSO 2022 / / edited by Biplab Das, Ripon Patgiri, Sivaji Bandyopadhyay, Valentina Emilia Balas, Sukanta Roy
| Modeling, Simulation and Optimization : Proceedings of CoMSO 2022 / / edited by Biplab Das, Ripon Patgiri, Sivaji Bandyopadhyay, Valentina Emilia Balas, Sukanta Roy |
| Autore | Das Biplab |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (601 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PatgiriRipon
BandyopadhyaySivaji BalasValentina Emilia RoySukanta |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Computational intelligence
Control engineering Mathematical optimization Computer simulation Computational Intelligence Control and Systems Theory Optimization Computer Modelling |
| ISBN | 981-9968-66-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On P-refinement in Topology Optimization -- Computational Analysis of Darrieus Vertical Axis Wind Turbines for Exhaust Air Energy Extraction -- A Wideband Circular Slot-Loaded Hexagon-Shaped Microstrip Antenna for Microwave RF Energy Harvesting -- A New Method of Population Initialization for Enhancing Performance of Evolutionary Algorithms -- Performance Analysis of Metaheuristic Methods in the Classification of Different Human Behavioural Disorders -- The Influence of Wall Temperature on Total Pressure Drop During Condensation of R134a Inside a Dimpled Tube. |
| Record Nr. | UNINA-9910838272303321 |
Das Biplab
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
A Practical Guide to Sentiment Analysis / / edited by Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco
| A Practical Guide to Sentiment Analysis / / edited by Erik Cambria, Dipankar Das, Sivaji Bandyopadhyay, Antonio Feraco |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VII, 196 p. 16 illus., 7 illus. in color.) |
| Disciplina | 006.35 |
| Collana | Socio-Affective Computing |
| Soggetto topico |
Medicine
Information storage and retrieval Applied linguistics Applied mathematics Engineering mathematics User interfaces (Computer systems) Statistics Biomedicine, general Information Storage and Retrieval Applied Linguistics Mathematical and Computational Engineering User Interfaces and Human Computer Interaction Statistics and Computing/Statistics Programs |
| ISBN | 3-319-55394-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Affective Computing and Sentiment Analysis -- Many Facets of Sentiment Analysis -- Reflections on Sentiment/Opinion Analysis -- Challenges in Sentiment Analysis -- Sentiment Resources: Lexicons and Datasets -- Generative Models for Sentiment Analysis and Opinion Mining -- Social Media Summarization -- Deception Detection and Opinion Spam -- Concept-Level Sentiment Analysis with SenticNet -- Index. |
| Record Nr. | UNINA-9910253909103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of International Conference on Big Data, Machine Learning and Applications : BigDML 2019 / / edited by Ripon Patgiri, Sivaji Bandyopadhyay, and Valentina Emilia Balas
| Proceedings of International Conference on Big Data, Machine Learning and Applications : BigDML 2019 / / edited by Ripon Patgiri, Sivaji Bandyopadhyay, and Valentina Emilia Balas |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (270 pages) : illustrations |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Big data
Machine learning |
| ISBN | 981-334-788-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- BicGenesis: A Method to Identify ESCC Biomarkers Using the Biclustering Approach -- 1 Introduction -- 2 Related Work -- 3 Some Selected Biclustering Algorithms -- 4 Proposed Framework -- 5 Performance Evaluation of BicGenesis -- 5.1 Benchmark Dataset -- 5.2 Results on GSE20347 -- 5.3 Topological Study -- 5.4 Biological Study -- 5.5 Some Interesting Biomarkers Identified by BicGenesis -- 6 Conclusion -- References -- An Improved Energy-Aware Secure Clustering Technique for Wireless Sensor Network -- 1 Introduction -- 1.1 Routing Protocols -- 1.2 Clustering -- 2 Proposed System -- 3 Results -- 4 Conclusion -- References -- An Improved K Means Algorithm for Unstructured Data -- 1 Introduction -- 2 Literature Review -- 3 Background Methodology -- 4 Motivation of the Proposed Work -- 5 Proposed MapRedLGC Algorithm -- 5.1 MapReduce Programming Module -- 5.2 K-Means-MapReduce Algorithm -- 5.3 Local Gravitational Clustering -- 6 Results and Discussions -- 6.1 Performance Analysis -- 7 Conclusion -- References -- Vision-Based Smart Shot for Assisting Shooters -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Finding the Target -- 3.2 Detection of Laser -- 3.3 Analysis of Shot -- 3.4 Construction of Digital Target -- 4 Result and Discussion -- 5 Conclusion and Future Work -- References -- Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence -- 1 Introduction -- 2 Data Mining -- 3 Database -- 3.1 Attributes -- 3.2 Clump Thickness -- 3.3 Uniformity of Cell Size -- 3.4 Single Epithelial Cell Size -- 3.5 Other Considerations -- 4 Evaluation of the Data -- 4.1 K-NN -- 4.2 MlP -- 4.3 Naïve Bayes -- 4.4 SMO -- 4.5 RFB -- 4.6 J48 -- 5 Conclusions -- References -- Image Reconstruction Based on Shape Analysis.
1 Introduction -- 2 Shape Reconstruction -- 2.1 Preamble -- 2.2 Data Collection and System -- 2.3 Data Preprocessing -- 2.4 MRS-Hypergraph Framework -- 3 Results and Inference -- 3.1 Smiley Shape Reconstruction -- 3.2 Brain MRI Scan Image of HCP-MGH -- 3.3 Performance Measure -- 3.4 Limitations and Applications -- 4 Conclusion -- References -- U-control Chart-Based Differential Evolution Clustering for Determining the Number of Clusters in k-Means -- 1 Introduction -- 2 K-means -- 3 Experiments and Results -- 3.1 Data Set -- 3.2 Configuration of Algorithms and Results -- 4 Conclusions -- References -- Novel Initialization Strategy for K-modes Clustering Algorithm -- 1 Introduction -- 2 K-mode Algorithm for Categorical Data Clustering -- 2.1 Dissimilarity Measure -- 2.2 Mode of a Set -- 2.3 Cost Function -- 2.4 The K-mode Algorithm -- 3 Our Proposed Approach for Effective Clustering -- 3.1 Average Dissimilarity -- 3.2 Neighborhood Value -- 3.3 Density Parameter -- 4 Experimentation and Analysis -- 4.1 Evaluation Method -- 4.2 Dataset -- 5 Conclusions and Future Work -- References -- A Survey on Streaming Data Analytics: Research Issues, Algorithms, Evaluation Metrics, and Platforms -- 1 Introduction -- 2 Research Approach -- 3 RQ1: Research Issues of Streaming Data Analytics -- 3.1 Concept Drift -- 3.2 Resource Optimization -- 3.3 Distributed and Parallel Systems -- 3.4 Overfitting/Underfitting -- 3.5 Class Imbalance -- 3.6 Other Research Issues -- 4 RQ2: Classification Algorithms for Streaming Data -- 5 Performance Metrics -- 5.1 Prediction Accuracy -- 5.2 Kappa -- 5.3 Learning Time or Execution Time -- 5.4 Error Rate -- 5.5 RMSE (Root Mean Square Error) -- 5.6 Tree Size/Number of Nodes -- 5.7 Other Metrics -- 6 Streaming Data Platforms (RQ2) -- 7 Conclusion -- References. Modification of ElGamal Cryptosystem into Data Encryption and Signature Generation -- 1 Introduction -- 2 Preliminary -- 2.1 ElGamal Cryptography -- 2.2 ElGamal Digital Signature -- 2.3 Gaussian Integer -- 3 Modified ElGamal Over Integers -- 3.1 Proposed Algorithm for Confidentiality -- 3.2 Proposed Algorithm for Signature Generation -- 4 Application of Modified ElGamal Cryptosystem -- 5 Performance -- 5.1 Complexity -- 5.2 Comparison -- 6 Conclusion -- References -- Preparation of Sentiment tagged Parallel Corpus and Testing Its Effect on Machine Translation -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Collection of English Sentences -- 3.2 Translation Using Google Translate API -- 3.3 Shallow Parsing -- 3.4 Clause Identification -- 3.5 Sentiment Annotation -- 3.6 Character Based Neural Machine Translation -- 4 Results -- 4.1 Evaluation -- 5 Conclusion and Future Scope -- References -- Privacy-Preserving Association Rule Mining in Distributed Database Environment: A Review -- 1 Introduction -- 2 Big Data -- 3 Ownership of Data -- 3.1 Security Cameras, Surveillance -- 3.2 Medical Data -- 3.3 Cloud Services -- 4 Privacy -- 5 Model of Privacy -- 6 Conclusion -- References -- The Goals Programming as a Tool for Measuring Sustainability of Agricultural Production Chains of Rice -- 1 Introduction -- 2 Method -- 2.1 Sample Design -- 2.2 Analysis of the Principal Components -- 3 Results -- 3.1 Production -- 3.2 Negotiation and Postharvest Management -- 4 Conclusions -- References -- Multidimension Tensor Factorization Collaborative Filtering Recommendation -- 1 Introduction -- 2 State of the Art -- 2.1 RS Based on Content -- 2.2 Collaborative Filtering Technique -- 2.3 The Proposed MD-TFCF Mechanism -- 3 Analysis of Filtering Techniques -- 4 Conclusions -- References. A Recent Survey of SVD- and DWT-Based Digital Image Watermarking Theories and Techniques: A Review -- 1 Introduction -- 1.1 SVD Watermarking -- 1.2 DWT Watermarking -- 1.3 Arnold Cat Map -- 2 Combined Approach of DWT and SVD Image Watermarking -- 2.1 Image Watermarking Algorithm based on DWT-SVD -- 3 Conclusion -- References -- Image Retrieval Scheme Using Efficient Fusion of Color and Shape Moments -- 1 Introduction -- 2 Proposed Image Retrieval Methodology -- 2.1 Laplacian Filter Based Preprocessing -- 2.2 Histogram-Based Color Moments -- 2.3 Multiresolution Based Shape Moments -- 2.4 Fused Features -- 2.5 Similarity Measure and Evaluation Metrics -- 3 Experimental Results and Discussions -- 4 Conclusions -- References -- Detection of Unattended Luggage in Public Places: A Review -- 1 Introduction -- 2 Research in Abandoned Luggage Detection -- 2.1 Static Foreground Detection -- 2.2 Classification -- 2.3 Back-Tracing for Owner Detection -- 2.4 Deep Learning Approaches to Abandoned Luggage Detection -- 2.5 Other Methods -- 3 Datasets -- 3.1 PETS 2006 -- 3.2 ILIDS for AVSS2007 -- 3.3 ABODA -- 4 Performance Comparison -- 4.1 Discussion -- 5 Conclusion -- References -- Malware Detection Using Machine Learning Approach -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Comparative Study of Faster Region-Based Convolutional Neural Networks with Inception V2 and Single Shot Detector with Inception V2 on Their Signature Detection Capabilities -- 1 Introduction -- 1.1 Challenges -- 1.2 Faster R-CNN -- 1.3 Single Shot Detector (SSD) -- 1.4 Objective -- 2 Literature Review -- 3 Methodology -- 4 Results and Analysis -- 4.1 Dataset -- 4.2 Platform and Environment Specification -- 4.3 Configuration Parameters -- 4.4 Training Results -- 4.5 Testing Results -- 5 Conclusions -- References. Association Rules Extraction from Date's Product Dataset Using the Apriori Algorithm -- 1 Introduction -- 2 Type of Transactions -- 3 Efficient Analysis of Type II Transactions -- 3.1 Refinement -- 3.2 Unrelated Items -- 4 Experimentation -- 5 Conclusion -- References -- Sleep Stage Classification Based on Ensemble Decision Tree Technique Using Single-Channel EEG -- 1 Introduction -- 2 Method -- 2.1 Data -- 2.2 EEG Signal Preprocessing -- 2.3 Feature Extraction -- 2.4 Classification Using Random Forest Method -- 2.5 Performance Measure of Classifier -- 3 Results and Discussion -- 4 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910484076403321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||