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.
Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 1
| Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 1 |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (620 pages) |
| Altri autori (Persone) |
AnandSameer
JaiswalAjay KumarPrabhat |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 9789819735884 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Steering Committee -- Contents -- Editors and Contributors -- Design and Simulation of a Graphene Material-Based Tuneable Nanoantenna for THz Applications -- 1 Introduction -- 2 Antenna Design and Modelling -- 2.1 Graphene Conductivity Modelling -- 2.2 Antenna Design and Simulation -- 3 Results and Discussion -- 4 Conclusion -- References -- Unveiling Superior Lane Detection Techniques Through the Synergistic Fusion of Attention-Based Vision Transformers and Dense Convolutional Neural Networks -- 1 Introduction -- 2 Description of Proposed Methodology -- 2.1 Attention-Based Vision Transformer (AVT) -- 2.2 Occlusion-Aware Classification Boost (OACB) -- 2.3 Dense Convolutional Neural Network (DCNN) -- 3 Experiments -- 3.1 Implementation Details -- 3.2 Dataset Description -- 3.3 Qualitative Analysis -- 3.4 Comparative Analysis of Other State-of-the-Art Methods -- 4 Conclusion -- References -- Artificial Intelligence Intervention in Human Resource Management Practices -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Conclusion -- 6 Scope for Future Studies -- References -- Smart Traffic: Real-Time Tracking, Vehicle Detection, and Congestion Alert System -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Objective of the Paper -- 1.3 Motivation -- 1.4 Existing Systems -- 1.5 Proposed System -- 1.6 Scope -- 2 Proposed Solution -- 3 Architecture -- 4 Results and Analysis -- 5 Conclusion -- References -- Improve the Design of the Antenna by Using Polynomial Regression -- 1 Introduction -- 2 Design the Patch Antenna -- 3 Method of Regression -- 4 Conclusions -- References -- An Artificial Intelligence-Based Energy-Efficient Approach for Wireless Sensor Networks Enabled IoT -- 1 Introduction -- 2 Problem Formulation -- 3 Multi-objective Optimization (MOO) -- 3.1 BBO -- 4 Proposed Algorithm.
5 Simulation Results -- 6 Conclusion -- References -- Progressive Feature Engineering for Genre Classification of Short Poems -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Data Acquisition and Dataset -- 3.2 Feature Buckets Approach -- 3.3 Hybrid Dimensionality Reduction -- 3.4 Classifiers -- 4 Performance Evaluation -- 4.1 Discussion -- 5 Conclusion and Future Works -- References -- Dynamic Game Scheme-Based Interactive Sanitization Model to Mitigate Prognostic Reverberation of Covid-19 -- 1 Introduction -- 2 System Model -- 3 Smart Game Theoretic Sanitization Model -- 4 Covi-Fit Mean Field Game -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Design, Interface, and Control of Smart Two-Axis Table for Plotting and Drilling Operations Based on Atmega328P Microcontroller -- 1 Introduction -- 2 System Hardware Components -- 2.1 CD/DVD Mechanism -- 2.2 Arduino Microcontroller -- 2.3 The 3D-Design of XY Table Machine and Frame Dimension -- 2.4 Control CNC Machine Using Raspberry Pi 3 and Arduino UNO -- 2.5 CNC Machine with Image Processing -- 3 Calibration and Settings for the Stepper Motor -- 3.1 Calibration Stepper Motor -- 3.2 Resolution for Stepper Motor -- 3.3 Simulink for Two-Phase Stepper Motor Sign Equation -- 3.4 Percentage of Enhancement -- 4 System Implementation and Results -- 4.1 Implementation of XY Table Machine -- 4.2 Result for the Prototype -- 4.3 Result for the Second Prototype -- 4.4 Result in Bitmap Image from Image Processing -- 5 Conclusion and Future Work -- References -- Smart Waste Management Using IOT and ML -- 1 Introduction -- 2 Objective -- 3 Literature Review -- 4 Equations -- 4.1 Working of Smart Bins -- 4.2 Path Optimization Algorithms -- 5 System Working and Architecture -- 6 Result and Discussion -- References. Detection of Parkinson's Disease Using Non-invasive Biomarkers -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Voice/Speech Analysis of Human Subjects -- 3.2 Latency and Delay Between Dynamic Keystrokes -- 3.3 Handwritten Patterns -- 3.4 Inertial Measurement Unit (IMU) Sensor Signals -- 4 Results -- 5 Conclusion -- References -- Modeling of Shell and Tube Heat Exchanger Using Adaptive Neuro-fuzzy Inference System and Nature-Inspired Whales Optimization Algorithm -- 1 Introduction -- 2 Mathematical Modeling of STHE -- 3 Whale Optimization Algorithm -- 4 Whale Optimization Algorithm-Based ANFIS for Modeling of Shell and Tube Heat Exchanger -- 5 Forward Modeling Using Whale Optimization Algorithm-Based ANFIS -- 6 Inverse Modeling Using Whale Optimization Algorithm-Based ANFIS -- 7 Conclusion -- References -- Navigating the Impact of COVID-19 on Indian Economies Through a Lens of Sustainability -- 1 Introduction -- 2 Analysis of GDP and HDI of Indian States -- 2.1 Maharashtra -- 2.2 Kerala -- 2.3 Gujarat -- 2.4 Bihar -- 3 Indian Unicorns That Boosted the Indian Economy -- 3.1 Sustainability Analysis -- 3.2 Sentimental Analysis of the Unicorn Nykaa -- 4 Results and Conclusion -- References -- Deep Dive into Clickbait Secrets: Integrating Multi-modal Features and Leveraging Deep Learning Architectures -- 1 Introduction -- 2 Literature Survey -- 2.1 Clickbait Research -- 3 Image Modeling -- 3.1 Exploratory Data Analysis -- 3.2 Infilling -- 3.3 Image Models -- 4 Text Modeling -- 5 Multi-modal Model -- 6 Results -- 7 Conclusion -- References -- A Hybrid Ayurvedic Drug Recommendation System with Generative AI -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 4 Result Analysis -- 5 Conclusion -- References -- Early-Stage Adoption of AI in Business Processes: Different People Different Intentions to Use AI -- 1 Introduction. 2 Literature Review -- 2.1 Research Background -- 2.2 Hypotheses' Development -- 3 Method -- 3.1 Sample -- 3.2 Measure -- 4 Results and Discussion -- 4.1 Difference Among Groups with Respect to Intention to Use AI -- 4.2 Relationships Among Demographic Characteristics and Intention to Use AI -- 4.3 Predictors of Intention to Use AI -- 5 Conclusion -- References -- Decoding India's Fintech Ecosystem with AI: A Market Perspective -- 1 Introduction -- 2 Evolution of Fintech in India -- 3 Future of Fintech in India -- 3.1 Fintech Growth Propellants -- 4 The Fintech Ecosystem -- 4.1 Possible Challenges -- 5 Emerging Shifts in the Fintech Industry -- 6 Implications and Scope for Future Research -- 7 Conclusion -- References -- Deep Learning Inclusion in Plant Diseases, Inflicting a Disparate Insight -- 1 Introduction -- 2 Methodology and Literature Review -- 3 Future Perspective -- 4 Conclusion -- References -- Categorical Forecast Skill: Definitions and Implications -- 1 Introduction -- 1.1 The Relationship Between ISMR and Antarctic Sea Ice Extent -- 1.2 Mathematical Formulation of the Problem for Using Dichotomous Forecast -- 2 Methodology -- 2.1 Data -- 2.2 Procedure -- 3 Results and Discussion -- 4 Conclusion -- References -- Enhancing Cotton Crop Yield Prediction Through Principal Component Analysis and Regression Modelling -- 1 Introduction -- 2 Cotton Crop Situation in India -- 3 Principal Component Analysis (PCA) -- 4 Ordinary Least Squares (OLS) Regression -- 5 Methodology -- 5.1 Data Collection and Preprocessing -- 5.2 Performing Principal Component Analysis (PCA) -- 5.3 Time Series Analysis -- 5.4 Perform Regression Modelling -- 5.5 Performance Evaluation -- 5.6 Visualization -- 6 Results and Findings -- 7 Conclusion -- References -- Personality Categorization of Big Five Personality Traits OCEAN Using upper KK-Means Clustering. 1 Introduction -- 2 Literature Survey -- 3 Data and Methods -- 3.1 Data Pre-processing and Visualization -- 3.2 Proposed Approach -- 3.3 Results -- 4 Conclusion -- 5 Challenges and Future Directions -- References -- LLM-Based Custom Chatbot Using LangChain -- 1 Introduction -- 2 Literature Review -- 3 State of the Art in NLP and AI-Powered Chatbot Development -- 4 Solutions for PDF File Interaction and Information Extraction -- 5 Proposed Methodology -- 6 Implementation and Results -- 7 Conclusion -- References -- Predicting Sleep Disorders for Improved Health Care-A Comprehensive Study -- 1 Introduction -- 1.1 Machine Learning in Health Care -- 2 Review of Literature -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Insightful Data Discovery -- 4 Model Training and Testing for Multiple Classification Algorithms -- 4.1 Training -- 4.2 Testing -- 5 Results and Analysis -- 5.1 Real-World Data -- 5.2 Real-World Application -- 6 Conclusion -- 7 Future Work -- 7.1 Exploring the Unstructured Data -- 7.2 Implementation of Deep Learning -- 7.3 Collaborating with Doctors -- 7.4 Integrating Our Model with Hardware -- References -- Advancements in Hate Speech Detection: A Comprehensive Analysis of NLP Models and Techniques -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection and Preprocessing -- 3.2 Feature Engineering -- 3.3 Hate Speech Detection Model -- 3.4 Model Training and Evaluation -- 4 Result and Discussion -- 5 Ethical Considerations -- 6 Conclusion -- References -- Li-Fi Technology-For Security and for Hyper Local Marketing -- 1 Introduction and Problem -- 2 Literature Survey -- 3 Challenge for Device -- 4 Solutions and Calculations -- 5 Discussion -- 6 Conclusion -- 7 Future Scope -- References -- Basket Brain: A Hybrid Model for Basketball Play Generation -- 1 Introduction -- 2 Related Works -- 3 Datasets -- 4 The Models. 5 Workflow. |
| Record Nr. | UNINA-9910878058503321 |
Hassanien Aboul Ella
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 4 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar
| Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 4 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (694 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
AnandSameer
JaiswalAjay KumarPrabhat |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Cooperating objects (Computer systems) Internet of things Artificial intelligence Communications Engineering, Networks Cyber-Physical Systems Internet of Things Artificial Intelligence |
| ISBN | 981-9738-17-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Steering Committee -- Contents -- Editors and Contributors -- Low Voice Speech Conversion Analysis Using Novel Convolutional Neural Network Compared with K-Nearest Neighbor with Enhanced Accuracy -- 1 Introduction -- 2 Materials and Methods -- 2.1 Convolutional Neural Networks -- 2.2 K-Nearest Neighbors -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- ML Models for Energy Efficiency in Office Buildings: A Comprehensive Comparative Analysis -- 1 Introduction -- 2 System Architecture -- 3 Study Method -- 4 Machine Learning Models -- 4.1 Logistic Regression -- 4.2 SVM -- 4.3 Decision Trees -- 4.4 Random Forest -- 4.5 Gradient Bossting -- 4.6 Multi-layer Perceptron (MLP) -- 5 Comparison of ML Models -- 5.1 Learning Curve -- 5.2 Validation Curve -- 6 Conclusion -- References -- Breast Cancer Prediction and Detection: Comparison of the Latest Machine Learning Techniques -- 1 Introduction -- 1.1 Contribution and Novelty -- 1.2 Limitations -- 2 Literature Review -- 2.1 Embryonic Stages-Texture Analysis -- 2.2 Deep Learning-A New Dawn -- 2.3 Transfer Learning-Bridging Past and Present -- 2.4 Computer-Aided Diagnosis (CAD)-The Modern Frontier -- 2.5 A Departure-Embracing Artificial Intelligence in a Novel Manner -- 2.6 Support Vector Machines (SVMs) -- 2.7 Deep Learning Advancements -- 3 Research Design and Methodology -- 3.1 Dataset -- 3.2 Algorithm Selection and Model Design -- 3.3 Machine Learning Framework and Tools -- 3.4 Infrastructure Limitations -- 3.5 Ethical Considerations -- 4 Results and Discussion -- 4.1 Machine Learning Algorithm -- 4.2 CNNs -- 4.3 ResNet -- 4.4 VGGNet -- 5 Conclusion and Future Works -- 5.1 Future Works -- References -- GIS-Based Identification and Representation of Particulate Matters Using Ontology and SPARQL -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods.
3.1 Description of the Case Study -- 3.2 Field Study -- 3.3 Equipment Used in the Investigation -- 4 Proposed System -- 4.1 Creation of Knowledge Base in the Form of Ontology -- 4.2 Execution of SPARQL Query -- 5 Results and Discussion -- 5.1 PM 2.5 Concentration -- 5.2 PM 10 Concentration -- 6 Conclusion and Future Scope -- References -- Advancements in Arrhythmia Classification: A Comprehensive Survey of AI Techniques -- 1 Introduction -- 2 Related Work -- 3 Observations from the Literature -- 3.1 Conventional Machine Learning Methods -- 3.2 Deep Learning Models -- 3.3 Hybrid Techniques -- 3.4 Classification Techniques Application and Clinical Impact -- 4 Methodological Approach -- 4.1 Inclusion Criteria -- 4.2 Exclusion Criteria -- 4.3 Techniques Selection Criteria -- 4.4 Databases of ECG Datasets -- 5 Importance of Cardiac Arrhythmia Diagnosis Using Deep Learning -- 5.1 Automated Feature Learning in Deep Neural Networks -- 5.2 Addressing Challenges in ECG Signal Analysis -- 5.3 Handling Signal Variability -- 6 Challenges -- 7 Conclusion -- References -- Survey on VANET Authentication Scheme Based on Cryptographic Protocols -- 1 Introduction -- 1.1 Key Aspects of VANETs -- 1.2 Architecture of VANETs -- 1.3 Applications of VANETs -- 1.4 Privacy Issue of VANETs -- 2 Background Information -- 2.1 Traditional Digital Signature Scheme -- 2.2 Group Signature Scheme -- 2.3 Ring Signature Scheme -- 2.4 Conditional Privacy-Preserving Authentication Scheme (CPPA) -- 2.5 Blockchain-Based Authentication Schemes -- 3 Literature Survey -- 3.1 Traditional Digital Signature Scheme -- 3.2 Group Signature-Based Authentication Scheme -- 3.3 Ring Signature-Based Authentication Scheme -- 3.4 Threshold Signature-Based Authentication Scheme -- 3.5 Conditional Privacy-Preserving Authentication Scheme -- 4 Discussion -- 5 Conclusion and Future Work -- References. Exploring Machine Learning Models for Age Recognition -- 1 Introduction -- 2 Related Work -- 3 Material and Methods -- 3.1 Dataset -- 4 Building a Balance Dataset -- 4.1 Feature Extraction from the Image -- 5 Implementation of Age Detection Models -- 6 Evaluation and Model Performance -- 6.1 Comparison Using Confusion Matrix -- 6.2 Summary of the Performance of Three Models -- 6.3 Performance of the Convolutional Neural Networks -- 6.4 Summary of Supervise Learning Models -- 7 Conclusion -- 8 Future Works and Recommendations -- References -- Novel Authentication Scheme to Increase Security of Vehicular Ad Hoc Networks -- 1 Introduction -- 1.1 Security Architecture -- 1.2 Technologies for Security Improvement -- 2 Literature Review -- 3 Research Methodology -- 4 Result and Discussion -- 5 Conclusion -- References -- A Study on the Working of Swarm-Based Metaheuristic Algorithms Using Theoretical Framework -- 1 Introduction -- 2 Swarm Intelligence -- 3 Proposed Theoretical Framework -- 4 Swarm-Based Metaheuristic Algorithms -- 4.1 Spotted Hyena Optimization (SHO) [7] -- 4.2 Harris Hawk Optimization (HHO) [12] -- 4.3 Seagull Optimization Algorithm (SeOA) [8] -- 4.4 Sailfish Optimizer (SO) [29] -- 4.5 Sooty Tern Optimization Algorithm (STOA) [6] -- 4.6 Sandpiper Optimization Algorithm (SOA) [16] -- 4.7 Golden Eagle Optimizer (GEO) [22] -- 4.8 Northern Goshawk Optimization (NGO) [5] -- 4.9 Red Fox Optimization (RFO) [25] -- 4.10 Chameleon Swarm Algorithm (CSO) [2] -- 4.11 Gannet Optimization Algorithm (GOA) [24] -- 5 Limitations of the Proposed Framework -- 6 Challenges -- 6.1 Swarm Size -- 6.2 Exploration-Exploitation Trade-Off -- 6.3 Parameter Tuning Using Sensitivity Analysis -- 6.4 Applicability Toward Large-Scale Real-World Problems -- 6.5 Lack of Theoretical Understanding -- 7 Conclusion and Future Directions -- References. Financial Fortunes: A Stock Price Prediction Using LSTM -- 1 Introduction -- 2 Background -- 2.1 FINVIZ -- 2.2 Reddit API -- 3 Literature Review -- 4 System Design and Solution -- 4.1 Methods and Methodology -- 4.2 Algorithm -- 5 Implementation -- 6 Results and Discussion -- 7 Conclusions and Future Scope -- References -- Utilization of Data Mining in Spatial Analysis of Displacement Crisis in Iraq -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion -- 4.1 Spatial Analysis of the Displacement Crisis in Iraq Between 2014 and 2017 -- 5 Conclusion and Future Scope -- References -- Integrating Multimodal Data for Parkinson's Disease Prediction: An Ensemble Approach -- 1 Introduction -- 2 Related Works -- 2.1 Application of CNNs for Advanced Drawing Analysis -- 2.2 The Synergy of AI and the Spiral Test for PD Diagnosis -- 2.3 AI-Driven Drawing Evaluation for Disease Detection -- 3 System Design -- 3.1 Parkinson's Disease Speech Dataset Analysis -- 3.2 Parkinson's Disease Drawings Dataset Analysis -- 3.3 Multimodal Ensemble Approach -- 4 Ensemble Method of Averaging -- 4.1 Drawing Dataset -- 4.2 Multimodal Ensemble Approach -- 5 Conclusion -- References -- Mental Health Assessment Using EEG Sensor and Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Utilization of Machine Learning for Heart Failure Prediction and Diagnosis -- 4 Datasets and Evaluation Metrics -- 5 Results and Discussion -- 6 Conclusion -- References -- Enhancing Patterns Accessibility for Visually Impaired Programmers -- 1 Introduction -- 2 Related Work -- 3 Development Process of Pattern Reader -- 3.1 Problem Identification -- 3.2 Design -- 4 Experiment Design -- 4.1 Procedure -- 4.2 Analysis -- 4.3 Result -- 4.4 Participant Experience -- 5 Future Work -- 6 Conclusion -- References. Lung and Colon Cancer Detection: Advancing Automated Diagnosis Through Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 LC25000: De-identified Lung and Colon Tissue Images for Cancer Research -- 4 Research Proposal -- 5 Scope and Objective of Research -- 6 Conclusion -- References -- Detection of Micro and Macro Nutrient Deficiency in Okra (Abelmoschus Esculentus L) Plant Leaves Using Machine Learning Approach -- 1 Introduction -- 2 Background -- 3 Work Plan -- 4 Results and Discussion -- 5 Future Scope -- 6 Conclusion -- References -- Empowering Aspiring Artists: A Machine Learning-Powered Carnatic Music Tutor -- 1 Introduction -- 2 Related Work -- 2.1 Raga Classification Methods -- 2.2 Other Audio Analysis Techniques -- 3 Proposed Methodology -- 3.1 Pre-processing -- 3.2 Note Identification -- 3.3 Raga Identification -- 3.4 Lyric Extraction -- 3.5 Video Generation -- 3.6 Evaluation -- 4 Experimental Results and Discussion -- 4.1 Note Identification -- 4.2 Raga Identification -- 4.3 Lyrics Extraction -- 5 Conclusion -- References -- Image Denoising Using Autoencoder: Utilizing Deep Learning and Autoencoder Techniques to Enhance Natural Images by Eliminating Noisy Pixels and Grains -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset -- 3.2 Image Denoising Using CNN -- 3.3 Network Architecture -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- An IoT-Based Animal Health Monitoring System -- 1 Introduction -- 2 Background -- 3 Proposed Methodology -- 3.1 Block Diagram -- 3.2 Hardware Requirements -- 3.3 Software Requirements -- 4 Results -- 5 Conclusion -- References -- Experimental Analysis of Four Gamma Correction Variants on Brain Tumor Images -- 1 Introduction -- 2 Variants of Gamma Correction -- 2.1 Adaptive Gamma Correction Image Enhancement (AGCIE). 2.2 Adaptive Gamma Correction and Color Preserving Framework (AGCCPF). |
| Record Nr. | UNINA-9910878991603321 |
|
Hassanien Aboul Ella
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 6
| Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 6 |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (761 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
AnandSameer
JaiswalAjay KumarPrabhat |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9742-28-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910896184903321 |
|
Hassanien Aboul Ella
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 2 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar
| Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 2 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (662 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
AnandSameer
JaiswalAjay KumarPrabhat |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Internet of things Machine learning Artificial intelligence Communications Engineering, Networks Internet of Things Machine Learning Artificial Intelligence |
| ISBN |
9789819735914
9789819735907 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Steering Committee -- Contents -- Editors and Contributors -- Bangladeshi CF Guard: Unveiling Bangladeshi Counterfeit Currency Through Transfer Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Security Features' Analysis -- 3.2 Data Collection -- 3.3 System Architecture -- 4 Result and Discussion -- 4.1 Experimental Outcomes -- 4.2 Discussion -- 5 Conclusion -- 5.1 Conclusion -- 5.2 Limitations and Future Work -- References -- Recognition of Sign Language Using Hybrid CNN-RNN Model -- 1 Introduction -- 2 Literature -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Classification and Recognition -- 3.3 Proposed Work -- 4 Evaluation Strategies -- 4.1 Dataset -- 5 Experiment and Result -- 5.1 Dataset I -- 5.2 Dataset II -- 6 Conclusion and Future Direction -- References -- Nanotech Drones: An Investigation of Air Quality Index in Environment -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 3 Discussions and Results -- 3.1 Air Quality Index -- 3.2 Working of Nanotech Drone -- 4 Conclusion -- References -- Systematic Vulnerability Assessment: Mapping Architecture Flow and Ranking Components for Vulnerability in Connected Automated Vehicles -- 1 Introduction -- 2 Literature Review -- 3 Architectural Flow -- 4 Scoring Criterion -- 5 Score Analysis -- 6 Results and Discussions -- 7 Conclusions -- References -- AI and Blockchain in Food and Beverage: Marketing 5.0 Approach -- 1 Introduction -- 2 Literature Review -- 2.1 Starbucks Advanced Advertising -- 2.2 Digital Promotion -- 2.3 Marketing 5.0 -- 2.4 Applications of Blockchain Technology in F& -- B Industry -- 3 Methodological Framework -- 3.1 Exploring Knowledge Through Group Discussions -- 3.2 Quantitative and Qualitative Analysis of Content -- 3.3 The Analytical Cognizance of Content Scrutiny -- 4 Results.
5 Conclusion and Recommendations for Further Research -- References -- A Deep Learning-Based Cervical Tumor Classification System for Telehealthcare Monitoring -- 1 Introduction -- 2 Literature-Related Works -- 3 Stages of Prior Cervical Cancer -- 4 Class Activation Map (CAM) -- 5 System Methodology -- 5.1 Analyzing Prior Tumor Infiltration Evidence -- 5.2 DCNN Based on Prior Evidence -- 6 Experimental Findings -- 6.1 Improvement of Prediction Based on Prior Evidence -- 6.2 Staging Methods for Cervical Cancer Compared to Others -- 7 Conclusion -- References -- Big Data-Driven Intelligence Healthcare Framework for Smart Citizen -- 1 Introduction -- 1.1 The Importance of Big Data -- 1.2 Intelligent System for Healthcare -- 2 Background and Related Work -- 2.1 Digitization of Healthcare and Big Data -- 2.2 Technologically Advanced Urban Areas (Modern City) -- 2.3 Optimal Health -- 3 Dimensional Framework Paradigm -- 3.1 Advanced Healthcare Technologies -- 4 Proposed Intelligent Healthcare System -- 5 Pros, Cons, and Application -- 6 Conclusion -- References -- Smart Device with Arduino Controller for Home Inverter -- 1 Introduction -- 2 Design of Proposed System -- 2.1 Mathematical Analysis of Proposed System -- 2.2 Mathematical Calculations of Proposed System -- 2.3 Algorithm and Flowchart -- 3 Hardware Results and Discussions -- 4 Conclusion -- References -- Feature Selection with Particle Swarm for Improved Classification on High-Dimensional Datasets -- 1 Introduction -- 2 Literature Survey -- 2.1 PSO-Based Approaches -- 2.2 ACO-Based Approaches -- 2.3 FA-Based Approaches -- 2.4 GWO-Based Approaches -- 2.5 SSO-Based Approaches -- 3 Proposed Methodology -- 3.1 PSO-Based Feature Selection -- 3.2 PSO Pseudocode -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Comparative Analysis -- 4.3 Statistical Analysis -- 4.4 Runtime Computation (min:sec:milli_sec). 5 Conclusion -- References -- Breast Cancer Prediction Using Hybridization of Machine Learning and Optimization Technique -- 1 Introduction -- 2 Literature Survey -- 2.1 Previous Work Done Using Machine Learning Classifiers -- 2.2 Previous Work Done Using Deep Learning -- 2.3 Previous Work Done Using Optimization Techniques -- 2.4 Previous Work Done Using Genetic Algorithm -- 3 Methodology -- 3.1 Classifiers Used -- 3.2 Dataset Used -- 3.3 Optimization Technique Used -- 3.4 Parameters Setting -- 3.5 Implementation -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Securing Pictorial Data Transfer Through a Novel Digital Image Encryption Method -- 1 Introduction -- 2 Proposed Work -- 3 Structure of Encryption -- 4 Concept of Decryption -- 5 Pictorial Representation -- 6 Comparison with Visual Cryptography -- 7 Conclusion -- Appendix -- The idea of rotating matrices -- References -- IoT Routing Reimagined: Dynamic Phantom Routing with ACO for Efficient Source Location Privacy -- 1 Introduction -- 1.1 Contributions -- 1.2 Organization -- 2 Related Works -- 3 Problem Statement -- 4 Proposed System -- 4.1 Network Condition-Based Dynamic Phantom Node Selection (NCDPNS) -- 4.2 Bio-inspired Algorithm-Aided Multi-path Selection-Based Routing (BAMSR) -- 5 Results -- 6 Conclusion and Future Work -- References -- Deep Learning-Based Evaluation of ICU Requirements in COVID-19 Cases -- 1 Introduction -- 2 Related Works -- 3 Overview the Proposed System -- 4 Methodology -- 5 Experimental Results -- 6 Discussion -- 7 Conclusion -- References -- Deep Learning-Based Tea Fermentation Grading -- 1 Introduction -- 2 Related Work -- 3 Methods and Materials -- 4 Evaluation -- 5 Results -- 6 Comparison -- 7 Conclusion -- 7.1 Statements and Declarations -- References. An Exploratory Study of the Relationship Between Students' Positive Attitudes Toward Artificial Intelligence and Computational Thinking Needed in the 6G Communications' Era -- 1 Introduction -- 2 Methodology -- 2.1 Survey Procedure and Survey Participants -- 2.2 Questionnaire Items -- 2.3 Analysis Procedure -- 3 Results -- 3.1 Preliminary Analysis -- 3.2 Descriptive Statistics of Positive Awareness of AI and Computational Thinking -- 3.3 Results of Logistic Regression Analysis -- 4 Discussions -- 4.1 Implications for Educational Program Development -- 5 Conclusion -- References -- Optimization of Double-Tuned Mass Dampers via Jaya Algorithm -- 1 Introduction -- 2 Methodology -- 3 The Numerical Example -- 4 Conclusion -- References -- Application of Wavelet Packet Transform for Detecting Bearing Issues -- 1 Introduction -- 2 History of Motor Vibration Data -- 3 Time-Frequency Domain Analysis -- 3.1 Analysis Based on DWT -- 3.2 Analysis Based on WPT -- 4 Results and Discussion -- 4.1 DWT-Based Frequency Range Determination of Outer Race Defect -- 4.2 WPT Based on Frequency Range Determination of Outer Race Fault -- 5 Conclusion and Future Scope -- References -- Detection of Potholes in Roads Using Siamese Neural Network for Safe Transportation -- 1 Introduction -- 2 Literature Survey -- 3 Methods and Technology Used -- 3.1 Dataset -- 3.2 Siamese Neural Network -- 3.3 Contrastive Loss Function -- 3.4 Training & -- Testing Set -- 3.5 Proposed Methodology -- 4 Results and Analysis -- 5 Conclusion -- References -- On the Security of Privacy-Preserving Bilateral Attribute-Based Encryption -- 1 Introduction -- 1.1 Our Contribution -- 2 The Scheme Presented by Sun et al. -- 2.1 System Model -- 2.2 Algorithms -- 2.3 Detailed Scheme -- 3 Cryptanalysis of the Scheme -- 3.1 Violating Receiver Privacy -- 3.2 Violating Sender Privacy -- 4 Conclusion. References -- Analyzing the Financial Performance of Corporate Social Responsibility Using Machine Learning-Enabled Financial Enterprise Model -- 1 Introduction -- 2 Related Work -- 3 Proposed Method: Machine Learning Using a Financial Enterprise Model -- 4 Result and Discussion -- 5 Conclusion -- References -- A Survey on Driver Monitoring System Using Computer Vision Techniques -- 1 Introduction -- 2 Motivation -- 3 Literature Review -- 4 The Proposed System -- 4.1 Drowsiness Detection -- 4.2 Gaze Detection -- 4.3 Activity Recognition -- 4.4 Emotion Recognition -- 5 Conclusion -- References -- ICT-Based Smart Cities Planning: A Case Study of Rashid Camp -- 1 Introduction -- 2 Smart City: A Contemporary Revolution for Urban Space Management -- 3 The Geographic Information System (GIS) and Remote Sensing (RS): Smart Planning Support Tool -- 4 Description of the Case Study Al-Rashid Camp -- 5 Methodology and Approach -- 6 Results and Discussion -- 7 Conclusion -- References -- Detection of Hate Speech Using Ensemble Models -- 1 Introduction -- 2 Related Works -- 3 Experimental Setup and Proposed Methodology -- 3.1 Datasets -- 3.2 Data Collection and Preprocessing -- 3.3 Models -- 3.4 Classifier Evaluation -- 4 Result and Discussion -- 4.1 Model Training and Evaluation Metrics -- 5 Result and Discussion -- 6 Conclusion -- References -- Development of Dermatological Lesion Detection System Using EfficientNet with Fairness Evaluation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Methodology Flowchart -- 3.2 Algorithm Used -- 3.3 Proposed Model's Pseudocode -- 3.4 Steps Followed -- 4 Experimental Results and Discussion -- 4.1 Dataset Used -- 4.2 Performance Assessment -- 4.3 Performance Comparative Analysis -- 5 Conclusion -- References -- Quantum Computing's Path to Supremacy: Progress in the NISQ Epoch -- 1 Introduction. 2 The History of Quantum Computing. |
| Record Nr. | UNINA-9910878065203321 |
|
Hassanien Aboul Ella
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 5 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar
| Innovative Computing and Communications : Proceedings of ICICC 2024, Volume 5 / / edited by Aboul Ella Hassanien, Sameer Anand, Ajay Jaiswal, Prabhat Kumar |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (698 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
AnandSameer
JaiswalAjay KumarPrabhat |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Cooperating objects (Computer systems) Internet of things Artificial intelligence Communications Engineering, Networks Cyber-Physical Systems Internet of Things Artificial Intelligence |
| ISBN | 981-9741-49-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910890193103321 |
|
Hassanien Aboul Ella
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Conference on Innovative Computing and Communications : Proceedings of ICICC 2023, Volume 3 / / edited by Aboul Ella Hassanien, Oscar Castillo, Sameer Anand, Ajay Jaiswal
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2023, Volume 3 / / edited by Aboul Ella Hassanien, Oscar Castillo, Sameer Anand, Ajay Jaiswal |
| Autore | Hassanien Aboul Ella |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (768 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
CastilloOscar
AnandSameer JaiswalAjay |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Internet of things Machine learning Artificial intelligence Communications Engineering, Networks Internet of Things Machine Learning Artificial Intelligence |
| ISBN | 981-9930-10-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Joint Identification and Clustering using Deep Learning Techniques -- Chapter 2. Comparative Analysis of deep learning with different optimization techniques for Type 2 Diabetes Mellitus detection using Gene expression Data -- Chapter 3. Differential Analysis of MOOC Models for Increasing Retention and Evaluation of the Performance of Proposed Model -- Chapter 4. Deep Convolutıonal Neural Networks Network with Transfer Learning for Image-Based Malware Analysis -- Chapter 5. Analysis of Network Failure Detection using Machine Learning in 5G Core Networks -- Chapter 6. MVR Delay:Establıshıng Self – Organızıng Vırtual Backhaul for Trusty, Relıable and Tımely Emergency Message Dıssemınatıon in VANET -- Chapter 7. Machine Learning Algorithms for Prediction of Mobile Phone Prices -- Chapter 8. Customized CNN for Traffic Sign Recognition Using Keras pre-trained models -- Chapter 9. Underwater Image Enhancement and Restoration Using Cycle GAN -- Chapter 10. Implementation of Machine Learning Techniques in Breast Cancer Detection -- Chapter 11. Performance and Analysis of Propagation Delay in the Bitcoin Network -- Chapter 12. Machine Learning Analysis on Predicting Credit Card Forgery -- Chapter 13. GanCOV: A Deep Learning & GAN based algorithm to Detect COVID-19 through Lung X-Ray Scans -- Chapter 14. Text-to-Image Synthesis using BERT Embeddings and Multi-Stage GAN -- Chapter 15. Application of Convoluted Brainwaves for Efficient Identification of Eating Disorder. etc. |
| Record Nr. | UNINA-9910736001903321 |
|
Hassanien Aboul Ella
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 1
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 1 |
| Autore | Khanna Ashish |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (871 pages) |
| Altri autori (Persone) |
GuptaDeepak
BhattacharyyaSiddhartha HassanienAboul Ella AnandSameer JaiswalAjay |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2594-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | International Conference on Innovative Computing and Communications |
| Record Nr. | UNINA-9910497101403321 |
|
Khanna Ashish
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 3
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 3 |
| Autore | Khanna Ashish |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (889 pages) |
| Altri autori (Persone) |
GuptaDeepak
BhattacharyyaSiddhartha HassanienAboul Ella AnandSameer JaiswalAjay |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-3071-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910497093303321 |
|
Khanna Ashish
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 2
| International Conference on Innovative Computing and Communications : Proceedings of ICICC 2021, Volume 2 |
| Autore | Khanna Ashish |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (812 pages) |
| Altri autori (Persone) |
GuptaDeepak
BhattacharyyaSiddhartha HassanienAboul Ella AnandSameer JaiswalAjay |
| Collana | Advances in Intelligent Systems and Computing Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-2597-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910497093403321 |
|
Khanna Ashish
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Conference on Innovative Computing and Communications . Volume 3 : proceedings of ICICC 2022 / / Deepak Gupta [and four others]
| International Conference on Innovative Computing and Communications . Volume 3 : proceedings of ICICC 2022 / / Deepak Gupta [and four others] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (772 pages) |
| Disciplina | 004.6 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computer networks
Computer science |
| Soggetto non controllato | Mathematics |
| ISBN | 981-19-3679-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- ICICC-2022 Steering Committee Members -- Preface -- Contents -- Editors and Contributors -- Assistive System for the Blind with Voice Output Based on Optical Character Recognition -- 1 Introduction -- 2 Lıterature Survey -- 3 System Model -- 3.1 System Design Specification -- 4 Experimental Results -- 5 Conclusion -- References -- Enterprising for a Sustainable Supply Chain of Livestock and Products of Sheep Husbandry in Jammu and Kashmir -- 1 Introduction -- 2 The Aim of the Paper and Objectives -- 3 Literature Review -- 4 Research Methodology -- 5 Data Analysis and Interpretation -- 6 Concluding Discussion-Social and Managerial Implications -- 7 Main Contribution of the Paper -- 8 Limitations of the Study -- 9 Future Implications of the Study -- References -- Comparative Analysis of Object Detection Models for the Detection of Multiple Face Masks -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Face Mask Detection -- 4.1 YOLOv3 -- 4.2 YOLOv4 -- 4.3 YOLOv5 -- 4.4 Proposed Methodology -- 5 Experimental Results -- 6 Conclusion and Future Work -- References -- ASL Real-Time Translator -- 1 Introduction -- 2 Literature Survey -- 3 Motivation -- 4 Architecture -- 5 Implementation -- 6 Challenges -- 7 Results and Discussion -- 8 Future Scope -- References -- House Price Forecasting by Implementing Machine Learning Algorithms: A Comparative Study -- Comparative Study of Graph Theory for Network System -- 1 Introduction -- 2 Incidence Operator -- 3 Adjacency Operator -- 4 Laplacian Operator -- 5 Importance of Graph Theory in Industry -- 6 Applications of Graph Theory in Network Theory -- 7 Data Structure and Representations -- 8 General Network Properties -- 9 Motifs -- 10 Network Design Models -- 10.1 The Star Topology -- 10.2 The Ring Topology -- 10.3 The Mesh Topology -- 11 Conclusion -- References -- 1 Introduction.
2 Review of Literature -- 3 Methodology Proposed -- 4 Experimentation and Results -- 4.1 Data Genesis -- 4.2 Choosing Appropriate Attributes -- 4.3 Exploratory Analytics -- 5 Conclusions and Future Directions -- References -- Comparative Study of Graph Theory for Network System -- 1 Introduction -- 2 Incidence Operator -- 3 Adjacency Operator -- 4 Laplacian Operator -- 5 Importance of Graph Theory in Industry -- 6 Applications of Graph Theory in Network Theory -- 7 Data Structure and Representations -- 8 General Network Properties -- 9 Motifs -- 10 Network Design Models -- 10.1 The Star Topology -- 10.2 The Ring Topology -- 10.3 The Mesh Topology -- 11 Conclusion -- References -- Numerical Simulation and Design of Improved Filter Bank Multiple Carrier System as Potential Waveform for 5G Communication System -- 1 Introduction -- 2 FBMC (Filter Bank Multi-carrier) -- 3 Scope and Objectives -- 4 Background -- 5 Proposed Methodology -- 5.1 Structure and Algorithm of Proposed DFT-Spread FBMC Transmitter and Receiver -- 5.2 The Proposed FBMC Complex Effective Transmitter -- 6 Result Analysis -- 6.1 Performance Analysis Between Contending Waveforms -- 6.2 Simulation of Proposed PAPR Reduction Scheme for FBMC System -- 6.3 Analysis of Bit Error Rate -- 7 Conclusion and Future Scope -- 7.1 Conclusion -- 7.2 Future Scope -- References -- Automatic Classification and Enumeration of Bacteria Cells Using Image Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Research Method -- 3.1 Noise Removal -- 3.2 Counting and Classification -- 4 Result and Discussion -- 5 Conclusion -- References -- Liver Cirrhosis Stage Prediction Using Machine Learning: Multiclass Classification -- 1 Introduction -- 2 Literature Review -- 3 Proposed Approach -- 3.1 Dataset Chosen -- 3.2 Data Cleaning -- 3.3 Scaling -- 3.4 Feature Selection -- 4 Methodology Used -- 4.1 Algorithms. 4.2 Performance Evaluation Metrics -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References -- Dynamic State Estimation of a Multi-source Isolated Power System Using Unscented Kalman Filter -- 1 Introduction -- 2 System Model -- 3 Proposed Unscented Kalman Filter -- 4 Simulation Study -- 5 Conclusion -- References -- Investigating Part-of-Speech Tagging in Khasi Using Naïve Bayes and Support Vector Machine -- 1 Introduction -- 2 Literature Review -- 3 Khasi PoS Tagging System Using SVM or NB Approach -- 4 Experimental Results -- 5 Conclusion -- References -- Machine Learning and Deep Learning-Based Detection and Analysis of COVID-19 in Chest X-Ray Images -- 1 Introduction -- 2 Methodology -- 2.1 Data Preprocessing -- 2.2 Models -- 2.3 Metrics of Performance -- 3 Results and Discussions -- 4 Comparative Performance Analysis -- 5 Conclusion and Future Work -- References -- A Comprehensive Study of Machine Learning Techniques for Diabetic Retinopathy Detection -- 1 Introduction -- 2 Diabetic Retinopathy Detection Using Machine Learning Algorithms -- 3 Dataset Used in DR Detection -- 4 Discussion -- 5 Conclusion -- References -- Evolution of WSN into WSN-IoT: A Study on its Architecture and Integration Challenges -- 1 Introduction -- 2 Evolution of WSN and IoT -- 3 Wireless Sensor Network and Sensor Node Architecture -- 3.1 Physical Layer -- 3.2 Data Link Layer -- 3.3 Network Layer -- 3.4 Transport Layer -- 3.5 Application Layer -- 4 IoT Architecture -- 4.1 Perception Layer -- 4.2 Transmission Layer -- 4.3 Application Layer -- 5 Integration of WSN and IoT -- 5.1 Front-End Proxy Approach -- 5.2 Gateway Approach -- 5.3 TCP/IP Overlay Approach -- 6 Challenges -- 6.1 Security -- 6.2 Interoperability -- 6.3 Topology Management and Data Unavailability -- 6.4 Miscellaneous -- 7 Conclusion -- References -- Big Data Security Trends. 1 Introduction -- 2 Big Data Security Issues and Their Solutions -- 3 Big Data Security Solutions -- 4 Big Data Security Trends -- 5 Conclusion -- References -- Application of NLP and Machine Learning for Mental Health Improvement -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Plans -- 3.1 Dataset Description -- 3.2 Methodology -- 3.3 Flow Chart/Block Diagram -- 4 Output -- 5 Result and Discussion -- 6 Conclusion and Future Scope -- References -- Energy Efficient RPL Objective Function Using FIT IoT-Lab -- 1 Introduction -- 1.1 Motivation -- 2 Literature Survey -- 3 Experimental Details -- 3.1 FIT IoT-Lab Setup -- 4 Methodology -- 5 Result -- 5.1 Ring Deployment -- 5.2 Random Deployment -- 6 Conclusion -- References -- Effective Data-Sharing Method for Multiple ICR Management in Autonomous Distributed Control Systems -- 1 Introduction -- 2 Proposed Method -- 2.1 Assumptions -- 2.2 Sink Node-Based Data-Sharing Method -- 3 Simulation Evaluation -- 3.1 Simulation Evaluation Scenario -- 3.2 Simulation Results -- 4 Conclusion -- References -- Applicability of Communication Technologies in Internet of Things: A Review -- 1 Introduction -- 2 Communication Technologies in IoT -- 2.1 RFID -- 2.2 NFC -- 2.3 Bluetooth -- 2.4 Zigbee -- 2.5 LPWAN -- 2.6 Wi-Fi -- 2.7 Cellular Communication Technologies -- 3 Conclusion -- References -- A KNN-Based Intrusion Detection Model for Smart Cities Security -- 1 Introduction -- 2 Background and Related Works -- 3 Improved Approach for Smart Cities Security -- 3.1 Description of Proposed Model -- 3.2 Experimental Study and Results -- 4 Conclusion and Future Works -- References -- Design of Asymmetric Microstrip Quad-Band Reconfigurable Antenna -- 1 Introduction -- 2 Design of Hook-Shaped Asymmetric Microstrip Quad-Band Reconfigurable Antenna -- 3 Results and Discussions -- 4 Conclusion -- References. COVID-19 and Associated Lung Disease Classification Using Deep Learning -- 1 Introduction -- 1.1 Social Benefits -- 2 Literature Review -- 3 Proposed Model -- 3.1 Methodology -- 3.2 Convolutional Layer -- 3.3 Pooling Layer -- 3.4 Flatten Layer -- 3.5 Dense Layer -- 4 Experimentation, Data Collection, and Performance Assessment -- 4.1 Dataset Description -- 4.2 Experiment Setup -- 4.3 Performance Assessment -- 4.4 Results on X-Ray Dataset -- 5 Conclusion -- References -- Type 2 Diabetes Prediction Using Machine Learning and Validation Using Weka Tool -- 1 Introduction -- 2 Implications of T2D -- 3 Related Work -- 4 Dataset Description -- 5 Methodology and Implementation -- 6 Result -- 7 Conclusion and Future Scope -- References -- DroidApp: An Efficient Android Malware Detection Technique for Smartphones -- 1 Introduction -- 2 Related Work -- 3 Proposed Malware Detection Model DroidApp -- 3.1 DroidApp -- 3.2 Proposed Algorithms for the Model -- 4 Result Analysis and Discussion -- 5 Social and Managerial Implications -- 6 Conclusion -- References -- A Hybrid Approach to Optimize Handover Margin in UWSN by Integration of ACO with PSO and MVO: A Comparative Analysis -- 1 Introduction -- 1.1 Underwater Wireless Sensor Networks (UWSNs) -- 1.2 Handover -- 1.3 Optimization Techniques -- 2 Literature Review -- 3 Problem Statement -- 4 Proposed Model -- 5 Result and Discussion -- 5.1 Phase 1: Simulation of HOM -- 5.2 Phase 2: Optimization of HOM -- 5.3 Phase 3: Energy-Efficient ACO-Based Simulation for Optimized Path Selection -- 5.4 Comparison of Time Consumption in Case of ACOMVO and ACOPSO -- 6 Conclusion -- 7 Future Scope -- References -- Cyber Risks and Security-A Case Study on Analysis of Malware -- 1 Introduction -- 2 Literature Survey -- 3 Social Implications -- 4 Risks on Financial Services: A Flashback -- 4.1 Keylogger -- 4.2 Adware. 5 The Proposed Study. |
| Record Nr. | UNINA-9910624311103321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
