10840nam 22004693 450 991049710870332120210901203630.0981-16-1249-8(CKB)4100000011990180(MiAaPQ)EBC6683050(Au-PeEL)EBL6683050(EXLCZ)99410000001199018020210901d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSoft Computing and Signal Processing Proceedings of 3rd ICSCSP 2020, Volume 2Singapore :Springer Singapore Pte. Limited,2021.©2022.1 online resource (663 pages)Advances in Intelligent Systems and Computing Ser. ;v.1340981-16-1248-X Intro -- Conference Committee -- Preface -- Contents -- About the Editors -- Artificial Intelligence with New Approach of Concrete Ingredients Changing in the Exact Proportions -- 1 Introduction -- 2 Literature Review -- 3 Materials Used -- 3.1 Admixture -- 3.2 Cement -- 3.3 Fine Aggregate -- 3.4 Course Aggregate -- 3.5 Water -- 3.6 Super Plasticizer -- 4 Methodology -- 4.1 Reading for Specimens -- 4.2 Calculation -- 5 Experimental Result -- 6 Conclusion -- References -- A New Approach in Cloud Environment to Improve Data Security Using Multiple Bits -- 1 Introduction -- 2 Literature Review -- 3 Proposed Technique -- 3.1 Algorithm for Embedding of Message -- 3.2 Algorithm for Repossession of Message -- 4 Experimental Results and Analysis -- 5 Conclusion and Future Scope -- References -- Clustering Text: A Comparison Between Available Text Vectorization Techniques -- 1 Introduction -- 2 Previous Literature -- 3 Dataset -- 3.1 Collection -- 3.2 Filtering -- 3.3 Pre Processing -- 4 Methodology -- 4.1 TFIDF -- 4.2 Doc2Vec -- 4.3 Clustering Techniques -- 4.4 Performance Evaluation -- 5 Results -- 6 Conclusion -- References -- Evaluating Deep Neural Network Ensembles by Majority Voting Cum Meta-Learning Scheme -- 1 Introduction -- 2 Combining the Results of Independent Learners -- 3 Proposed Ensemble Approach -- 4 Results -- 5 Conclusion -- References -- Virtual Mouse Control Using Finger Action -- 1 Introduction -- 2 Existing System -- 3 Proposed System -- 4 Proposed Algorithm -- 4.1 Actions Performed Using Speech Recognition -- 4.2 Task Performed Using Speech Reorganization -- 5 Implementation -- 6 Conclusion -- References -- A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image Captioning -- 1 Introduction -- 2 Related Work -- 3 Proposed Hybrid Model -- 3.1 Methodology -- 3.2 Feature Extraction and Normalization.4 Results -- 5 Conclusion -- References -- Neural Abstractive Text Summarizer for Telugu Language -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Recurrent Neural Network Encoder-Decoder -- 4 Training -- 5 Evaluation -- 6 Conclusions -- References -- OCR-Based Assistive System for Blind People -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Workflow -- 5 Hardware Components -- 6 Software Used -- 7 OCR -- 8 Tesseract -- 9 Text to Speech (TTS) -- 10 Results -- 11 Billing Description and Output -- 12 Conclusion -- References -- Modern Privacy Risks and Protection Strategies in Data Analytics -- 1 Introduction -- 1.1 Privacy and Privacy Threats -- 2 Privacy Preservation Methods -- References -- An Approach Toward Deep Learning-Based Facial Expression Recognition in Wavelet Domain -- 1 Introduction -- 2 Related Works -- 3 The Proposed Framework -- 3.1 Face Processing -- 3.2 Feature Representation Using DWT -- 3.3 Expression Recognition Using CNN -- 4 Experimental Results and Discussions -- 5 Conclusions -- References -- Modified UNet Architecture with Less Number of Learnable Parameters for Nuclei Segmentation -- 1 Introduction -- 2 Methodology -- 2.1 UNet -- 2.2 Segnet -- 3 Experiments and Results -- 3.1 Dataset Description -- 3.2 Results and Discussions -- 4 Conclusion -- References -- Classification of Diseases Using CBC -- 1 Introduction -- 2 Review of Literature -- 3 Implementation -- 3.1 Data Pre-Processing -- 3.2 Model Training -- 3.3 Evaluation of Model -- 3.4 Machine Learning Algorithms -- 3.5 Analysis of the Model -- 4 Experimental Results and Performance Analysis -- 5 Conclusion and Future Scope -- References -- Post-earthquake Building Damage Detection Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Preprocessing -- 3.2 Network Architecture -- 3.3 Jaccard Index.3.4 Dice Coefficient -- 4 Experiments and Setup -- 4.1 Dataset -- 4.2 Setup -- 4.3 Parameters -- 4.4 Analysis -- 5 Conclusion -- References -- Ensemble of Deep Transfer Learning Models for Parkinson's Disease Classification -- 1 Introduction -- 2 Methodology -- 2.1 Architectural Performance -- 2.2 Ensemble Method -- 2.3 Dataset -- 3 Results and Discussion -- 3.1 Experimental Results from Commonly Used Deep Learning Architectures -- 3.2 Experimental Results from the Proposed Ensemble Model -- 4 Conclusion -- References -- Energy-Efficient Clustering in Real-World Wireless Sensor Networks: Implementation -- 1 Introduction -- 2 Literature Survey -- 3 Clustering in Real-World WSNs -- 4 Energy Efficient Clustering: Optimal Cluster Head Selection -- 5 Hopcount Matrix: Properties -- 6 Implementation, Results and Discussions -- 7 Conclusions -- References -- Customer Feedback Through Facial Expression Recognition System Using Neural Network -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Image Data Collection -- 3.2 Data Preprocessing -- 3.3 Model Selection and Training -- 4 Models for Facial Expression Recognition -- 4.1 CNN -- 4.2 VGG16 -- 4.3 VGG19 -- 5 Transfer Learning -- 6 Result and Analysis -- 6.1 Final Results on Real-Time Faces -- 7 Conclusion -- References -- Taxi Demand Prediction Using LSTM and Optimized Taxi Geo-distribution -- 1 Introduction -- 2 Related Work -- 3 Implementation of Location and Time-Based Taxi Demand Prediction -- 3.1 Data Preparation -- 3.2 Time Binning -- 3.3 Feeding the Input to the LSTM Model -- 3.4 Training the Model -- 3.5 Testing the Model -- 4 Proposed Rank-Based Optimized Algorithm for Driver Mapping -- 4.1 Driver-Demand Check -- 4.2 Construction of Rank Table -- 4.3 Driver Mapping Using Rank Table -- 4.4 Mapping Optimization -- 5 Results -- 6 Conclusion -- References.Container ID Detection and Recognition -- 1 Introduction -- 2 Related Works -- 3 Technical Details -- 3.1 Architecture of the System -- 3.2 Data Collection -- 3.3 Data Preprocessing -- 4 Detection Module -- 4.1 Container Detection -- 4.2 Text Detection -- 4.3 Character Detection -- 5 Classification Module -- 6 Experimental Results -- 7 Performance Analysis -- 8 Summary -- References -- Autonomous Flying Using Deep Reinforcement Learning -- 1 Introduction -- 2 Literature Survey -- 3 Experimental Setup -- 3.1 Virtual Environment -- 3.2 Quadcopter -- 3.3 Deep Deterministic Policy Gradient -- 4 Workflow -- 5 Results and Conclusion -- References -- Detecting Surface Cracks on Buildings Using Computer Vision: An Experimental Comparison of Digital Image Processing and Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Acquisition -- 3.2 Building the Classifier -- 3.3 Evaluation -- 3.4 Interpretation -- 4 Experimental Results -- 4.1 The DIP-Based Approach Performance -- 4.2 The Deep Learning-Based Approach -- 4.3 Performance on Dataset 4 -- 5 Conclusion -- 6 Future Scope of Work -- 7 Declaration -- References -- A Survey on Preserving Data Confidentiality in Cloud Computing Using Different Schemes -- 1 Introduction -- 2 Literature Survey -- 3 The Objective of the Study -- 4 Results and Comparisons -- 5 Conclusion -- References -- Deep Learning-Based Approach for Human Activity Recognition -- 1 Introduction -- 2 Literature Survey -- 3 Problem Definition -- 4 Proposed System -- 4.1 Mathematical Foundation -- 4.2 Proposed Model -- 5 Performance Analysis and Result -- 6 Conclusion and Future Scope -- References -- Vuln-Check: A Static Analyzer Framework for Security Parameters in Web -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Recon Phase -- 3.2 Scanning -- 3.3 Enumeration -- 3.4 Static Analyzer Phase.3.5 Reporting -- 4 Experimental Setup and Results -- 5 Comparative Analysis -- 6 Conclusion -- References -- Concept Drift Detection Using Minimum Prediction Deviation -- 1 Introduction -- 2 Related Work -- 3 Minimum Prediction Deviation -- 3.1 Bootstrapping Samples -- 3.2 Uncertainty -- 3.3 Minimum Prediction Deviation Score -- 4 Methodology -- 5 Experiments -- 5.1 Datasets -- 5.2 Experimental Setup -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- An Interactive System for Assessing Emotional Wellness -- 1 Introduction -- 2 Related Works -- 3 Architecture Overview -- 4 Implementation -- 4.1 Anxiety Test Questionnaire -- 4.2 Fuzzification -- 4.3 Rule base -- 4.4 Rule Evaluation and Aggregation -- 4.5 Defuzzification -- 5 Results -- 6 Conclusion and Future Scope -- References -- Performance Analysis of Genetic Algorithm for Function Optimization in Multicore Platform Using DEAP -- 1 Introduction -- 2 Literature Survey -- 3 Genetic Algorithm for Function Optimization Using Multicore Platform -- 3.1 Multicore Platform -- 3.2 Distributed Evolutionary Algorithms in Python (DEAP) -- 3.3 Genetic Algorithm for Function Optimization Using Multicore Platform -- 3.4 Benchmark Functions and Parameter Settings -- 4 Experimental Analysis -- 4.1 Experimental Setup and Parameter Setting -- 4.2 Performance Analysis of Genetic Algorithm for Function Optimization in Single and Multicore Platforms for Function with Fixed Variables -- 4.3 Performance Analysis of Genetic Algorithm for Function Optimization in Single and Multicore Platforms for Function with Variable Dimensions -- 5 Conclusion -- References -- Various Image Modalities Used in Computer-Aided Diagnosis System for Detection of Breast Cancer Using Machine Learning Techniques: A Systematic Review -- 1 Introduction -- 2 Methodology -- 2.1 Data Extraction -- 3 Results.3.1 Imaging Modalities.Advances in Intelligent Systems and Computing Ser.Soft Computing and Signal Processing Electronic books.Reddy V. Sivakumar923883Prasad V. Kamakshi923884Wang Jiacun923885Reddy K. T. V923886MiAaPQBOOK9910497108703321Soft Computing and Signal Processing2073345UNINA