| Pubbl/distr/stampa |
Singapore : , : Springer Nature Singapore Pte Ltd., , [2022]
|
| Descrizione fisica |
1 online resource (792 pages)
|
| Disciplina |
006.3
|
| Collana |
Lecture notes in electrical engineering
|
| Soggetto topico |
Machine learning
Artificial intelligence
|
| ISBN |
981-19-4831-3
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Intro -- Contents -- About the Editors -- Firefly Algorithm and Deep Neural Network Approach for Intrusion Detection -- 1 Introduction -- 1.1 Research Goals and Contributions -- 1.2 Structure of the Paper -- 2 Theoretical Background and Literature Review -- 3 Proposed Method -- 3.1 Enhanced FA Metaheuristics -- 4 The eFA and DNN Framework for IDS Classification Experiments -- 5 Conclusion -- References -- Dimensionality Reduction Method for Early Detection of Dementia -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Materials and Subjects -- 3.2 Pre-processing -- 3.3 Feature Reduction -- 4 Result and Discussion -- 5 Conclusion -- References -- Prognostication in Retail World: Analysing Using Opinion Mining -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Model -- 3.1 Sentimental Analysis -- 3.2 Classification Model -- 3.3 Techniques and Tools -- 4 Data -- 5 Evaluation Outcome -- 6 Conclusion -- References -- Impact of Resolution Techniques on Chlorophyll Fluorescence Wheat Images Using Classifier Models to Detect Nitrogen Deficiency -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 4 Results and Discussions -- 5 Conclusions -- References -- Exploring Practical Deep Learning Approaches for English-to-Hindi Image Caption Translation Using Transformers and Object Detectors -- 1 Background -- 2 Dataset, Methodology and Experimental Setup -- 2.1 Dataset -- 2.2 Experimental Setup -- 2.3 Pre-processing Dataset -- 2.4 Run-Time Data Handling -- 2.5 Training and Evaluation -- 3 Model Architectures and Configurations Tested -- 3.1 Class A (Seq2Seq Caption Translation) -- 3.2 Class B (Transformer Caption Translation) -- 3.3 Class C (Pre-trained Transformer Caption Translation) -- 4 Results -- 5 Comparison with Existing Work -- 6 Conclusion -- References.
Saving Patterns and Investment Preferences: Prediction Through Machine Learning Approaches -- 1 Introduction -- 2 Review of Literature and Hypothesis Development -- 3 Data Analysis -- 3.1 Regression Equation and Data -- 4 Result Analysis and Discussion -- 4.1 Effect of Eight Independent Variables on the Saving Patterns -- 4.2 Effect of Eight Independent Variables on the Investment Preferences -- 4.3 Discussion -- 5 Conclusion -- References -- A Machine Learning Based Approach for Detection of Distributed Denial of Service Attacks -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework for DDoS Attack Detection -- 3.1 Problem Definition -- 3.2 The Framework -- 3.3 Proposed Algorithm -- 3.4 Metrics for Performance Evaluation -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Convolutional Neural Network Based Automatic Speech Recognition for Tamil Language -- 1 Introduction -- 2 Literature Review -- 3 Convolution Neural Network -- 4 Experimental Setup -- 4.1 Feature Extraction -- 4.2 Convolutional Neural Network Model -- 5 Result and Discussion -- 6 Conclusion -- References -- Identification of Wheat and Foreign Matter Using Artificial Neural Network and Genetic Algorithm -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Preparation of Samples -- 2.2 Image Segmentation -- 2.3 Feature Extraction -- 2.4 Detection using ANN -- 2.5 Selection of Optimal Features Using GA -- 3 Experimental Results and Discussions -- 4 Conclusion -- References -- Efficient Classification of Heart Disease Forecasting by Using Hyperparameter Tuning -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Classification of Heart Disease Prediction Using Neural Network Model with Hyper Parameter Tuning -- 3.2 Automatic Hyper Parameter Tuning -- 3.3 Evaluation Metrics -- 4 Results and Discussion -- 4.1 Outcome of Data Pre-processing.
4.2 Performance Evaluation -- 4.3 Comparison of Model Performance with and without Hyper Parameter Tuning -- 5 Conclusion -- References -- LS-Net: An Improved Deep Generative Adversarial Network for Retinal Lesion Segmentation in Fundus Image -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Conditional GANs -- 3.2 Image-To-Image Translation Network -- 3.3 Spectral Normalization -- 3.4 Loss Function -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Network Training -- 4.4 Implementation Details -- 5 Results and Discussion -- 5.1 Results -- 5.2 Discussion -- 6 Conclusion -- References -- A Novel Approach for Analysis of Air Quality Index Before and After Covid-19 Using Machine Learning -- 1 Introduction -- 2 Background and Motivation -- 3 Proposed Work -- 4 Multiple Linear Regression -- 5 Polynomial Regression -- 6 Experimental Result -- 6.1 Dataset -- 6.2 Evaluation Matrix -- 6.3 Result and Discussion -- 7 Conclusion -- References -- Embedding of Q-Learning in Sine Co-Sine Algorithm for Optimal Multi Robot Path Planning -- 1 Introduction -- 2 Formulation of the Problem -- 2.1 Objective Function Creation for Optimized Navigation -- 2.2 Movement of Mobile Robot -- 3 Projected Optimization Methods -- 3.1 Q-Learning Algorithm -- 3.2 Sine-Cosine Algorithm (SCA) -- 4 Necessity of Hybridization and Proposed Algorithm for Multi-robot Path Planning -- 5 Computer Simulation -- 6 Experiment on E-puck Robot -- 7 Performance Analysis -- 8 Conclusion and Future Works -- References -- Image-Based Number Sign Recognition for Ethiopian Sign Language Using Support Vector Machine -- 1 Introduction -- 2 Related Works -- 3 Ethiopian Sign Language Number System -- 3.1 Amharic Sign Language System -- 3.2 Proposed System -- 3.3 Support Vector Machine Modeling -- 4 Results and Discussion -- 4.1 Dataset -- 4.2 Performance Evaluation.
4.3 Test Result -- 5 Conclusion -- References -- BIC Algorithm for Exercise Behavior at Customers' Fitness Center in Ho Chi Minh City, Vietnam -- 1 Introduction -- 2 Literature Review -- 2.1 Exercise Behavior (EB) -- 2.2 Usefulness (US) -- 2.3 Ease of Use (EU) -- 2.4 Barrier (BR) -- 2.5 Facilities (FAC) -- 2.6 Price and Promotion (PP) -- 2.7 Service Quality (SQ) -- 3 Methodology -- 3.1 Sample -- 3.2 Reliability Test and BIC Algorithm -- 4 Results -- 4.1 Reliability Test -- 4.2 BIC Algorithm -- 4.3 Model Evaluation -- 5 Conclusions -- 6 Limitations and Future Scope -- References -- Medicine Supply Chain Using Ethereum Blockchain -- 1 Introduction -- 2 Related Previous Work -- 3 Proposed Method -- 3.1 Overview of Drug SCM Procedure -- 3.2 Three-Layer Architecture -- 3.3 Detail Architecture of Proposed DSCM System -- 3.4 Smart Contract of DSCM -- 3.5 Transactions Execution Procedure in DSCM -- 4 Stakeholders -- 4.1 Supplier -- 4.2 Manufacturer -- 4.3 Distributor -- 4.4 Hospitals -- 4.5 Pharmacies -- 5 Scope -- 6 Result and Evaluation -- 6.1 Deployment Costs -- 6.2 Price of the Gas Used in deploy the Smart Contract -- 7 Conclusion and Future Work -- References -- Human Activity Recognition Using Single Frame CNN -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methods and Results -- 3.1 CNN Classification Model -- 3.2 Compile and Train the Model -- 3.3 Plot Accuracy Curves and Model's Loss -- 4 Conclusion -- 5 Future Scope -- References -- Monitoring Pedestrian Social Distance System for COVID-19 -- 1 Introduction -- 2 Literature Survey -- 3 Technologies Used -- 3.1 Python -- 3.2 OpenCV -- 3.3 YOLOv3 -- 4 Propounded Monitoring Pedestrian Scheme -- 4.1 Camera Perspective Transformation -- 4.2 Pedestrian Detection and Tracking -- 4.3 Distance Calculation -- 4.4 Distance Violation with Count -- 5 Testing and Analysis -- 6 Conclusion -- References.
A Study and Comparative Analysis on Different Techniques Used for Predicting Type 2 Diabetes Mellitus -- 1 Introduction -- 1.1 Classification of Diabetes Mellitus: There Are Primarily Three Types of Known Diabetes Mellitus -- 1.2 Possible Reasons for Diabetes -- 1.3 Possible Problems Due to Diabetes: -- 2 Existing Predictive Analysis Techniques -- 2.1 Machine Learning (ML) Algorithms can be broadly classified as -- 2.2 Deep Learning (DL) Algorithm -- 2.3 Nature-Inspired Algorithm -- 3 Performance Analysis of Various Predictive Analysis Techniques -- 4 Comparison of Techniques Employed for Diabetes Prediction -- 5 Conclusion and Future Scope -- References -- RGB Based Secure Share Creation in Steganography with ECC and DNN -- 1 Introduction -- 2 Steganographic Techniques -- 3 Elliptic Curve Cryptography [ECC] -- 3.1 Proposed Model -- 3.2 Implementation Specifications -- 3.3 Modelling of Architecture -- 3.4 Secure Share Creation Using RGB -- 3.5 Reconstruction of the Shadow Images -- 4 Results and Discussion -- 4.1 Results for Multiple Hidden Secrets -- 4.2 Splitting of Channels -- 4.3 Creating Shares or Shadows of the Corresponding Channels -- 4.4 Encrypting the Generated Shares -- 4.5 Comparison of Histogram Between the Original Shares and the Encrypted Shares -- 4.6 Decryption and Stacking of Shares -- 4.7 Revealed Network -- 4.8 SSIM of Cover, Container, Secret and Decoded Secret Images -- 4.9 Complexity of Computation -- 5 Conclusion -- References -- Model to Detect and Correct the Grammatical Error in a Sentence Using Pre-trained BERT -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Crop Recommendation System for Precision Agriculture Using Fuzzy Clustering Based Ant Colony Optimization -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Collaborative Filtering.
3.2 Ant Colony Optimization (ACO).
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| Record Nr. | UNISA-996490364103316 |
Info
Adolescence in India : issues, challenges and possibilities / / Swati Patra, editor
