Proceedings of the 7th International Conference on Advance Computing and Intelligent Engineering : Icacie 2022

• Autore: Pati Bibudhendu
• Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (693 pages)
• Disciplina: 006.3
• Altri autori: PanigrahiChhabi Rani MohapatraPrasant LiKuan-Ching
• Nota di contenuto: Intro -- Preface -- About This Book -- Contents -- Editors and Contributors -- Advanced Machine Learning Techniques -- Comparison of Malware Detection Techniques Using Machine Learning Algorithms -- 1 Introduction -- 2 Basic Concepts -- 2.1 Supervised Learning -- 2.2 Unsupervised Learning -- 2.3 Semi-supervised Learning -- 2.4 Reinforcement Learning -- 2.5 Transfer Learning -- 3 Methodologies -- 3.1 Receiver Operating Characteristic Curve -- 4 Results and Discussion -- 4.1 Detection Time -- 5 Conclusion -- References -- Deep Neural-Based Machine Translation Using RNN for Indian Languages -- 1 Introduction -- 1.1 Deep Neural Networks (DNNs) -- 2 Literature Survey -- 2.1 Embedding Layer -- 3 Methodology -- 3.1 Hyperparameters Optimization -- 3.2 Batch_size -- 3.3 Iterations/Steps -- 3.4 Epochs -- 3.5 Dropout -- 3.6 Num_Units -- 3.7 Learning Rate -- 3.8 H-params Summary -- 3.9 GPU Optimization -- 3.10 Overall Training Process -- 3.11 Vector Representation of Words -- 3.12 Bi-RNN Encoder -- 4 Proposed Contents and Test Cases -- 5 Graphs -- 5.1 Computation Graph -- 5.2 Plots for Hindi-Gujarati Model -- 5.3 Plots for Hindi-Punjabi Model -- 6 Conclusion -- 7 Future Work -- References -- Bengali Document Clustering: A Comparative Study of K-Means, K-Means++, Spectral K-Means -- 1 Introduction -- 2 Related Works -- 3 Clustering Algorithms -- 3.1 Simple upper KK-means -- 3.2 upper KK-means++ -- 3.3 Spectral Clustering -- 4 Bengali Document Clustering -- 4.1 Preprocessing -- 4.2 Vectorization Process -- 5 Dataset, Evaluation and Results -- 5.1 Description of Dataset -- 5.2 Evaluation Metrics, Experiments and Results -- 6 Conclusion -- References -- An Intelligent Diagnostic System for Type 2 Diabetes Mellitus -- 1 Introduction -- 1.1 Motivation and Objective -- 1.2 Paper Structure -- 2 Related Work -- 3 Proposed Work -- 4 Results and Discussions. ; 5 Conclusion and Future Scope -- References -- Fuzzy Logic-Based Crop Diversification to Increase Crop Yield -- 1 Introduction -- 2 Related Works -- 2.1 Crop Diversification Using CNN -- 2.2 Crop Diversification Using Digital Image Processing -- 2.3 Crop Diversification Using Fuzzy Logic -- 3 Proposed Model -- 3.1 Data Collection -- 3.2 Choosing Input Parameters -- 4 Conclusion and Future Works -- References -- Application of Machine Learning in Software Testing of Healthcare Domain -- 1 Introduction -- 1.1 Healthcare Challenges -- 1.2 Software Testing in Healthcare Domain -- 2 Software Testing Overview -- 2.1 UML-Based Software Testing -- 3 Machine Learning in Software Testing -- 4 Proposed Method -- 4.1 UML Activity Diagram for Health Care -- 4.2 Generation of the Test Cases -- 5 Conclusion -- References -- A System for Driver Drowsiness Detection Using Deep Learning -- 1 Introduction -- 2 Background Study -- 3 Related Work -- 4 Methodology -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Detection of Arrhythmia from ECG Signal Using Bat Algorithm-Based Deep Neural Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Signal Pre-processing -- 3.2 Signal Segmentation -- 3.3 Feature Extraction -- 3.4 Feature Selection -- 3.5 Classification Model -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Experimental Result and Analysis -- 5 Conclusion and Future Scope -- References -- An Intelligent Diabetes Prediction System Augmenting Feature Selection and Balancing Techniques -- 1 Introduction -- 2 Literature Review -- 3 Methods and Proposed Methodology -- 3.1 Classification Algorithms -- 3.2 Feature Selection -- 3.3 Data Balancing -- 3.4 Proposed Framework -- 3.5 Evaluation Metrics -- 4 Experiment Setup, Results, and Analysis -- 4.1 Dataset Description and Pre-Processing -- 4.2 Software and Hardware Used. ; 4.3 Results -- 4.4 Discussion -- 5 Conclusion and Future Scope -- References -- Intelligent Fake News Detection Model using Machine Learning Techniques -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 3.1 Datasets -- 3.2 Text Conversion -- 3.3 Pre-processing -- 3.4 Feature Extraction Using TF-IDF -- 3.5 ML-Based Classification Models -- 4 Experimental Results and Discussion -- 5 Conclusion -- References -- Depiction of Nifty Midcap Index Efficiency Using ARIMA -- 1 Introduction -- 1.1 Indian Stock Market -- 1.2 Stock Market Efficiency -- 2 Need for the Study -- 3 Methodology -- 4 Results and Discussion -- 4.1 Stationarity of Data -- 4.2 Augmented Dickey-Fuller Test (ADF) -- 4.3 ARIMA (Autoregressive Integrated Moving Average) -- 5 Conclusion -- References -- Digital Soil Texture Classification Using Machine Learning Approaches -- 1 Introduction -- 2 Literature Review -- 3 Proposed Soil Texture Classification Methodology -- 3.1 System Model -- 3.2 Dataset Details -- 3.3 Image Preprocessing -- 3.4 Feature Extraction -- 3.5 Classification Models for Soil Image -- 4 Experimental Results -- 5 Conclusion -- References -- SQL Injection Attack Detection Using Machine Learning Techniques -- 1 Introduction and Literature Review -- 2 Research Materials and Methods -- 2.1 Structured Query Language (SQL) -- 2.2 SQL Injection Attack -- 3 The Proposed Model to Classify SQL Injection (SQLi) Attack -- 3.1 Dataset -- 3.2 Architecture of the Designed Bypass Neural Network -- 4 Experimental Results -- 5 Conclusion and Future Prospects -- References -- Social Network Analysis and Recommender Systems -- Event Tracking and Analysis in Social Text Stream -- 1 Introduction -- 1.1 Motivation and Contribution -- 2 Literature Survey -- 3 Problem Statement and Methodology -- 3.1 Problem Statement -- 3.2 Proposed Novelty Detection Approach. ; 3.3 Event Tracking in Social Text Streams -- 4 Experimental Study and Data Sets -- 4.1 Evaluation Mechanism and Dataset -- 4.2 Data Sets -- 4.3 Efficiency of Proposed Approach with Existing SOTA Methods -- 5 Performance Evaluations in Terms of Memory Profile, CPU Utilization, and Load Shedding -- 6 Conclusion -- References -- Identification of Social Bots in Online Social Networks Using Filter-Based Feature Selection Approach -- 1 Introduction -- 2 Background Details -- 2.1 Online Social Network -- 2.2 Social Bots -- 2.3 Machine Learning Techniques -- 2.4 Ensemble Methods in Machine Learning -- 3 Related Work -- 4 Methods -- 4.1 Datasets -- 4.2 Feature Selection Method -- 5 Experimental Result -- 6 Conclusion and Future Scope -- References -- MathBERTRes: Mathematical BERT Model for Sequence Classification of Mathematical Research Articles -- 1 Introduction -- 2 Background and Related Work -- 3 System Architecture -- 4 Proposed System-Phase 1 -- 4.1 Data Set Details, Tokenization, and Padding -- 4.2 Model Training, Optimizer Creation, and Learning Rate Scheduler -- 4.3 Model Evaluation and Model Prediction -- 5 Proposed System-Phase 2 -- 5.1 Classification -- 5.2 MathBERTRes Approach -- 6 Results and Discussion -- 6.1 Implementation Details for MathBERTRes Model -- 7 Conclusion and Future Work -- References -- Music Recommendation Model Based on Emotion Detection Using Pulse Rate and Stress Measurement -- 1 Introduction -- 2 Literature Review -- 2.1 Relationship Between Stress and Human Emotions -- 2.2 Relationship Between Stress and Heart Rate (HR) -- 2.3 Recommendation System -- 3 Research Gap and Author Contribution -- 4 Proposed Methodology -- 4.1 Measuring of Heart Rate -- 4.2 Calculating the Baevsky's Stress Index (SI) -- 4.3 Proposed Framework -- 4.4 Performance Metric -- 5 Conclusion -- References. ; Exploratory Data Analysis on Shopping Mall Customers' Dataset: A Case Study of Marketing Analysis -- 1 Introduction -- 2 Data Visualization -- 2.1 Software Dependencies -- 2.2 Visualizing the Age Distribution -- 2.3 Visualizing the Annual Income -- 2.4 Visualization of Spending Score -- 2.5 Gender Versus Spending Score Visualizations -- 2.6 Gender Versus Annual Income Visualization -- 2.7 Gender Versus Age Visualization -- 3 K-Means Clustering Analysis -- 4 Conclusion -- References -- AlphaAR: An Augmented Reality-Based Intelligent Learning Platform for Pre-school Children -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Research Design -- 3.2 Concept -- 3.3 System Design -- 3.4 Data Analysis -- 4 Result and Discussion -- 5 Conclusion and Future Scope -- References -- Analysis of Differential Evolution Optimization-Based Cascade Controller for Frequency Regulation of Power System -- 1 Introduction -- 2 Basic Concepts -- 2.1 System Examined -- 2.2 PI‐PD Controller -- 3 Proposed Methods -- 4 Optimization Technique -- 5 Results and Discussion -- 6 Conclusions -- References -- A Systematic Literature Review on Social Network Security Challenges and Solutions -- 1 Introduction -- 2 Literature Review -- 2.1 Review on Security Attacks -- 2.2 Review on Security Solutions -- 3 Conclusion -- References -- Market Analysis and Business Intelligence -- SMARTEN: A Multiscale Simulation Software Dedicated to the Education and the Research for Energy-Mix Management Applied in the Built Environment -- 1 Introduction -- 2 Smarten Features -- 2.1 Software Framework -- 2.2 Software Architecture -- 2.3 Software Functionalities -- 3 Running a Simulation and 2D Visualisation -- 4 Illustrative Examples -- 5 Conclusion -- 6 Perspectives and Future Work -- References. ; A Low Power DC-DC Buck Converter with Improved Light-Load Efficiency Utilizing Pulse-Skipping Mode for a 2.5 GHz Microwave Signal Source.
• Titolo autorizzato: Proceedings of the 7th International Conference on Advance Computing and Intelligent Engineering
• ISBN: 9789819950157; 9789819950140
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910872181003321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems Series