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Evolution in Computational Intelligence : Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023)
| Evolution in Computational Intelligence : Proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023) |
| Autore | Bhateja Vikrant |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (678 pages) |
| Altri autori (Persone) |
YangXin-She
FerreiraMarta Campos SengarSandeep Singh Travieso-GonzalezCarlos M |
| Collana | Smart Innovation, Systems and Technologies Series |
| ISBN | 981-9967-02-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organization -- Preface -- Contents -- About the Editors -- 1 Towards the Development of a Decision-Making Framework: A Contribution Inform of a Decision Support Aid for Complex Technical Organization -- 1.1 Introduction -- 1.2 Literature -- 1.3 Methodology (Interpretative Approach to Decision-Making) -- 1.3.1 Epistemological Basis of Interpretivism -- 1.3.2 Vickers' Notion of an Appreciative System -- 1.4 Experimental Work-Contribution to Knowledge (Decision-Making as a Human Activity System-D'MHAS) -- 1.4.1 Perceive -- 1.4.2 Judge -- 1.4.3 Discern -- 1.4.4 Operational Factors of D'MHAS -- 1.4.5 Validation of the Model-D'MHAS -- 1.4.6 The Concept of Requisite Variety -- 1.4.7 D'MHAS as a Relationship Maintaining Model -- 1.5 Discussion -- 1.6 Conclusion -- Appendix -- References -- 2 Multi-attention TransUNet-A Transformer Approach for Image Description Generation -- 2.1 Introduction -- 2.2 Related Work -- 2.3 Proposed Model -- 2.3.1 Encoder Architecture -- 2.3.2 Pre-integration Module -- 2.3.3 Decoder Architecture -- 2.3.4 Model Optimization and Fine Tuning -- 2.4 Experiments and Evaluation -- 2.4.1 Experimental Setup -- 2.4.2 Analysis -- 2.4.3 Comparative Analysis with Similar Past Work Done -- 2.4.4 Sample Outputs Generated from Input Images -- 2.5 Conclusion and Future Scope -- References -- 3 Empirical Review of Oversampling Methods to Handle the Class Imbalance Problem -- 3.1 Introduction -- 3.2 Material and Methods -- 3.2.1 Oversampling Methods Used -- 3.2.2 Classification Models -- 3.2.3 Performance Measure -- 3.3 Dataset -- 3.4 Experiment and Results -- 3.5 Conclusion -- References -- 4 Automatic COVID Protocols-Based Human Entry Check System -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Proposed System -- 4.3.1 Block Diagram -- 4.4 Hardware Components -- 4.4.1 Raspberry Pi4 -- 4.4.2 Servomotor -- 4.4.3 Liquid Pump Motor.
4.4.4 Temperature Sensor: Mlx90614 -- 4.4.5 Raspberry Pi Cam -- 4.5 Working Procedure -- 4.5.1 Flow Chart -- 4.6 Result -- 4.6.1 Result Face Mask Detection and Temperature Sensing -- 4.6.2 Servomotor Result -- 4.7 Conclusion and Future Scope -- 4.7.1 Conclusion -- 4.7.2 Future Scope -- References -- 5 Effect of Machine Translation on Authorship Attribution -- 5.1 Introduction -- 5.2 Corpus and Used Dataset -- 5.3 Approach of Authorship Attribution and Experimental Protocol -- 5.4 Experiments and Results -- 5.5 Conclusion -- References -- 6 Smart Hospitality: Understanding the 'Green' Challenges of Hotels and How IoT-Based Sustainable Development Could be the Answer -- 6.1 Introduction -- 6.2 Insight into the Hotel Hospitality Industry -- 6.2.1 The 'Green' Landscape in the Hospitality Industry -- 6.3 The Internet of Things (IoT) and Sustainable Development -- 6.4 Study -- 6.4.1 Introduction -- 6.4.2 Methods -- 6.4.3 Procedure -- 6.4.4 Participants -- 6.4.5 Results -- 6.4.6 Discussion and Conclusion -- 6.4.7 Reflection on the Benefits of IoT Technology for Green Hotel Practices -- 6.5 Conclusion -- 6.5.1 Future Work -- References -- 7 A Novel Knowledge Distillation Technique for Colonoscopy and Medical Image Segmentation -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Methodology -- 7.3.1 Dataset -- 7.3.2 Image Preprocessing -- 7.3.3 Base Neural Network Architectures -- 7.3.4 Knowledge Distillation with Pairs of Different Students and Teacher Networks -- 7.3.5 Experimental Setup -- 7.4 Results and Discussion -- 7.5 Conclusion -- 7.6 Future Work -- References -- 8 AI-Enabled Smart Monitoring Device for Image Capturing and Recognition -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 AI-Based Smart Monitoring Engine -- 8.3.1 System Design -- 8.3.2 Training Architectures -- 8.4 Practical Implementation -- 8.4.1 Age and Gender Detection. 8.4.2 Vehicle Number Plate Recognition -- 8.5 Conclusion -- References -- 9 A Compact Formulation for the mDmSOP: Theoretical and Computational Time Analysis -- 9.1 Introduction -- 9.2 Problem Definition -- 9.2.1 An Improved ILP Formulation -- 9.3 Comparative Results -- 9.3.1 Test Instances -- 9.3.2 Computational Results -- 9.3.3 Inferential Results -- 9.4 Conclusion -- References -- 10 Keywords on COVID-19 Vaccination: An Application of NLP into Macau Netizens' Social Media Comments -- 10.1 Introduction -- 10.2 Methodology -- 10.3 Results -- 10.3.1 Keywords -- 10.3.2 Time Series Analysis -- 10.4 Discussion -- 10.5 Conclusion -- References -- 11 Ensemble Machine Learning-Based Network Intrusion Detection System -- 11.1 Introduction -- 11.1.1 Background -- 11.1.2 Objective -- 11.1.3 Solution Overview -- 11.2 Literature Survey -- 11.3 Problem Description -- 11.3.1 Technical Architecture -- 11.4 Proposed Work -- 11.4.1 Datasets -- 11.4.2 Dataset Preprocessing -- 11.4.3 Anomaly Classifier Engine -- 11.4.4 Evaluation Metrics -- 11.4.5 Report Generation -- 11.5 Results -- 11.6 Conclusion and Future Work -- References -- 12 Household Power Consumption Analysis and Prediction Using LSTM -- 12.1 Introduction -- 12.2 Literature Review -- 12.3 Data Description -- 12.4 General Framework -- 12.4.1 Handling Insignificant Data-Data Cleaning -- 12.4.2 Reframing the Dataset -- 12.4.3 Splitting the Dataset -- 12.4.4 Training and Validating the Dataset -- 12.5 Conclusion -- References -- 13 Indian Stock Price Prediction Using Long Short-Term Memory -- 13.1 Introduction -- 13.2 Literature Survey -- 13.3 Dataset -- 13.4 Methodology -- 13.5 Implementation -- 13.5.1 Hardware and Software -- 13.5.2 Evaluation Metrics -- 13.6 Results and Discussion -- 13.7 Conclusion -- References -- 14 On the Impact of Temperature for Precipitation Analysis -- 14.1 Introduction. 14.2 Data Description -- 14.3 Precipitation Calculation -- 14.3.1 Standard Precipitation Index (SPI) -- 14.3.2 Estimating Precipitation Distribution Parameters for Stations with Short Data Series -- 14.4 Atmospheric Temperature in the Tropopause -- 14.5 Correlation Analysis Toward Identifying Interplay Between Temperature and Precipitation -- 14.6 Rainfall Prediction -- 14.6.1 Rainfall Prediction Using Multiple Linear Regression -- 14.6.2 Rainfall Prediction Using LSTM -- 14.7 Conclusion and Future Work -- References -- 15 Vision-Based Facial Detection and Recognition for Attendance System Using Reinforcement Learning -- 15.1 Introduction -- 15.2 Literature Study -- 15.3 Proposed Methodology -- 15.3.1 RLAS-Agent -- 15.3.2 RLAS-Environment -- 15.4 Results Discussion -- 15.5 Conclusion -- References -- 16 Cross-Modal Knowledge Distillation for Audiovisual Speech Recognition -- 16.1 Introduction -- 16.2 Literature Review -- 16.3 Proposed Methodology -- 16.3.1 Teacher Model -- 16.3.2 Student Model -- 16.4 Results -- 16.4.1 The Dataset -- 16.4.2 Evaluation Metrics -- 16.4.3 Transcriptional CTC Loss -- 16.4.4 Distillation Loss -- 16.4.5 Comparative Analysis -- 16.5 Conclusion -- References -- 17 Classification of Autism Spectrum Disorder Based on Brain Image Data Using Deep Neural Networks -- 17.1 Introduction -- 17.2 Related Work -- 17.3 Methodology -- 17.3.1 Convolution Neural Network (CNN) -- 17.3.2 Transfer Learning -- 17.4 Results -- 17.5 Conclusion and Future Directions -- References -- 18 Transformer-Based Attention Model for Email Spam Classification -- 18.1 Introduction -- 18.2 Related Works -- 18.3 Proposed Methodology -- 18.3.1 Bidirectional Encoder Representations from Transformers -- 18.3.2 Hyper Parameters -- 18.4 Evaluation Metrics -- 18.5 Experimental Results -- 18.5.1 Dataset -- 18.5.2 Results and Discussion -- 18.6 Conclusion. References -- 19 Agriculture Land Image Classification Using Machine Learning Algorithms and Deep Learning Techniques -- 19.1 Introduction -- 19.2 Literature Review -- 19.3 Proposed Method -- 19.3.1 Dataset Description -- 19.4 Experimental Results -- 19.5 Conclusion -- References -- 20 A Comprehensive Machine Learning Approach in Detecting Coronary Heart Disease -- 20.1 Introduction -- 20.2 Literature Review -- 20.3 Design Methodology -- 20.3.1 Description of Dataset -- 20.3.2 Experimental Work -- 20.3.3 Algorithms Used -- 20.3.4 Support Vector Machine -- 20.3.5 Decision Tree -- 20.3.6 Random Forest -- 20.4 Result Analysis -- 20.5 Conclusion -- References -- 21 Evaluation of Crime Against Women Through Modern Data Visualization Techniques for Better Understanding of Alarming Circumstances Across India -- 21.1 Introduction -- 21.1.1 Preface -- 21.1.2 Origin of the Problem -- 21.1.3 Problem Statement with Objectives -- 21.1.4 Literature Review -- 21.2 Preliminaries -- 21.2.1 Dataset Description -- 21.3 Architecture Diagram -- 21.3.1 Description of Architecture Diagram -- 21.4 Proposed Methodology -- 21.5 Conclusion and Conflicts of Interests -- 21.5.1 Conclusion -- 21.5.2 Conflicts of Interests -- References -- 22 Artificial Neural Network-Based Malware Detection Model Among Shopping Apps to Increase the App Security -- 22.1 Introduction -- 22.2 Related Works -- 22.3 Malware in Apps -- 22.4 Machine Learning -- 22.5 Proposed Architecture -- 22.6 Architecture Description: -- 22.7 Methodology -- 22.7.1 Dataset -- 22.7.2 Classification Models -- 22.8 Performance Evaluation -- 22.9 Result Analysis -- 22.9.1 Accuracy -- 22.10 Conclusion -- References -- 23 A Satellite-Based Rainfall Prediction Model Using Convolution Neural Networks -- 23.1 Introduction -- 23.2 Review of Literature -- 23.3 Proposed Work -- 23.3.1 Architecture Diagram. 23.3.2 Description of Datasets and Tools. |
| Record Nr. | UNINA-9910765486003321 |
Bhateja Vikrant
|
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| Singapore : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolution in Signal Processing and Telecommunication Networks : Proceedings of 8th International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2023) / / edited by Vikrant Bhateja, P. Satish Rama Chowdary, Wendy Flores-Fuentes, Shabana Urooj, Rudra Sankar Dhar
| Evolution in Signal Processing and Telecommunication Networks : Proceedings of 8th International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2023) / / edited by Vikrant Bhateja, P. Satish Rama Chowdary, Wendy Flores-Fuentes, Shabana Urooj, Rudra Sankar Dhar |
| Autore | Bhateja Vikrant |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (472 pages) |
| Disciplina | 621.3815 |
| Altri autori (Persone) |
ChowdaryP. Satish Rama
Flores-FuentesWendy UroojShabana Sankar DharRudra |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electronic circuits
Electronics Embedded computer systems Internet of things Electronic Circuits and Systems Electronics and Microelectronics, Instrumentation Embedded Systems Internet of Things |
| ISBN | 981-9706-44-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Committee -- Preface -- Contents -- About the Editors -- Design of Miniaturized and Dual-Band Slot Antenna for Wireless Communications -- 1 Introduction -- 2 Design of Miniaturized and Dual-Band Slot Antenna -- 3 Effect of Each Geometrical Parameters -- 4 Conclusions -- References -- Elliptical Split Ring Structure Reconfigurable Antenna for Advance Communication -- 1 Introduction -- 2 Proposed Design -- 3 Results and Discussions -- 4 Conclusion -- References -- Enhanced Two-Way Cooperative DCSK System via Grouping Subcarrier-Permutation Index Modulation -- 1 Introduction -- 2 The GSPIM-DCSK System Architecture -- 3 New Cooperative System Based on GSPIM-DCSK -- 4 The System Performance and Simulation Results -- 4.1 The BER Performance for the GSPIM-DCSK System Model -- 4.2 The BER Performance for the Cooperative System Based on the GSPIM-DCSK -- 5 Conclusions -- References -- Modelling of Fractional-Order System in Complex Domain Using Direct Approach: A Comparative Study -- 1 Introduction -- 2 Approximation of Fractional-Order (FO) Operator -- 3 Simulations and Results -- 4 Conclusions -- References -- Securing Cellular-V2X at Physical Layer: A Two-Stage User Authentication for Massive MIMO Systems -- 1 Introduction -- 1.1 Background -- 1.2 Related Works -- 1.3 Motivation and Novelties -- 1.4 Contributions -- 2 System Model -- 2.1 C-V2X Scenario -- 2.2 Massive MIMO Channel Model and Received Signal Model -- 2.3 Received Signal Model and Mobility Model -- 3 Analysis of Secrecy Metrics -- 4 Two-Stage User Authentication for Massive MIMO -- 5 Numerical Result and Discussions -- 6 Conclusions -- References -- ASER Analysis of a DF Relay-Assisted Transmission System Influenced by Fisher-Snedecor F Fading Channels Applying Non-coherent Modulation Schemes -- 1 Introduction -- 2 Methodology -- 2.1 Average Symbol Error -- 3 Algebraic Results.
4 Conclusion -- References -- Design of Compact Patch Antenna for TPMS Applications -- 1 Introduction -- 2 Design of Compact Microstrip Patch Antenna -- 3 Parametric Variations -- 3.1 The Effect of Variation on Turn of Circular Spiral -- 3.2 The Effect of Variation on Width of Compact Patch Antenna -- 4 Conclusions -- References -- Key Components of Optically Transparent Antennas and Their Specifications -- 1 Introduction -- 2 Transparent Substrates -- 3 Transparent Conductors -- 4 Conclusion -- References -- Performance Analysis of Diverse Mobility Speeds on MANET Routing Protocols -- 1 Introduction -- 2 Categories of Movement Models -- 3 Simulative Experiments and Result Analysis -- 3.1 Packet Delivery Ratio (PDR) -- 3.2 Average End-to-End Delay (Davg) -- 3.3 Throughput -- 3.4 Packet Overhead -- 3.5 Total Dropped Packets -- 4 Conclusions -- References -- Qualitative Analysis of WOC Channel-Based Optical Communication System -- 1 Introduction -- 2 Simulative Setup -- 3 Result and Discussion -- 4 Conclusion -- References -- Analyzing the Role of DCF in Symmetrical Compensated Network Using Dispersion Compensation Technique -- 1 Introduction -- 2 Simulative Setup -- 3 Result and Discussion -- 4 Conclusion -- References -- Improved Design of Microstrip Low Pass Filter by Using Numerous Metamaterial Patterns -- 1 Introduction -- 2 Filter Design and Analysis -- 2.1 Design -- 2.2 Calculated Values -- 2.3 Comparative Analysis of Different Patterns -- 3 Simulated Results -- 4 Conclusion -- References -- Design of a Low-Power Varactor-Based DCO Using NMOS Switching Network as a Digital Control Technique -- 1 Introduction -- 2 Circuit Design -- 3 Results and Discussions -- 4 Conclusions -- References -- Comparison of Four Approaches of Image Compression for Wireless Communication -- 1 Introduction. 2 Requirement of Image Compression for Wireless Communication -- 2.1 Performance Parameters -- 3 Image Compression Approaches -- 3.1 JPEG -- 3.2 Autoencoder -- 3.3 Visual Geometry Group (VGG) -- 3.4 Vision Transformer (ViT) -- 4 Methodology and Analysis Summary -- 4.1 Proposed Work Flow Diagram -- 4.2 Datasets Used -- 5 Results and Discussions -- 5.1 Comparison of MSE, PSNR, CR for Each of the Four Approaches of Image Compression for Standard Images -- 5.2 Comparison of MSE, PSNR, CR for Each of the Four Approaches of Image Compression for Standard Images with Introduced Gaussian Noise -- 5.3 Comparison of MSE, PSNR, CR for Each of the Four Approaches of Image Compression for CIFAR10 Dataset -- 6 Conclusion and Future Scope -- References -- Numerical Study of Laguerre-Gaussian Beams and Analysis of OAM Based OOK Communication System -- 1 Introduction -- 2 Basic Concepts and Principles of OAM -- 2.1 Orbital Angular Momentum (OAM) Beams -- 2.2 Laguerre-Gaussian Beams -- 2.3 The System Model -- 3 Simulation Results -- 4 Conclusion -- References -- Specific Absorption Rate Evaluation in Layered Human Head Models Using Transparent Conducting Film -- 1 Introduction -- 2 SAR Evaluation of Head Models -- 2.1 Polarization in Seven-Layered Planar Head Models (HMs) Without and with Transparent Conducting Composite Films as Shields -- 2.2 Mobile Phone Position with Polarization in Head Models -- 2.3 EMI-SE Formulation with Oblique Angle of Incidence and Mobile Phone Position -- 3 Results and Discussion -- 3.1 No Shield Condition-SAR Absorption with No Mobile Phone Tilt -- 3.2 Transparent Shield Placement-SAR Absorption with Mobile Phone Tilt -- 4 Conclusion -- References -- A Novel Four-Channel Optical De-multiplexer Using Photonic Crystal Ring Resonator -- 1 Introduction -- 2 Structural Design -- 2.1 PWE Analysis -- 2.2 FDTD Analysis -- 3 Result Analysis. 4 Conclusion -- References -- Design of L-Shaped Microstrip Patch Antenna -- 1 Introduction -- 2 Antenna Design -- 3 Results and Discussion -- 4 Conclusions -- References -- Wideband High-Gain Franklin Antenna Array for 5G Millimeter-Wave Applications -- 1 Introduction -- 2 Antenna Design -- 3 Results and Discussion -- 4 Conclusion -- References -- Change Detection Mechanism Over Multi-spectral Images Using Machine-Learning Techniques -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Input Data Collection -- 3.2 Calculating the Difference Image -- 4 Dimensionality Reduction and Feature Extraction -- 5 Result Analysis -- 6 Conclusion -- References -- A Comprehensive Machine-Learning-Based Approach for Aspect-Based Sentiment Analysis Over Food Consumables -- 1 Introduction -- 2 Literature Review -- 3 Proposed Architecture and Methodology -- 3.1 Proposed Architecture -- 3.2 Proposed Methodology of the Work -- 4 Description of Datasets, Analysis of Results -- 4.1 Dataset -- 4.2 Analysis of Results -- 5 Conclusion and Future Scope -- References -- A Deep Learning-Based Face Recognition Model for Comprehensive Student Logging Mechanism Using Tkinter -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Architecture Diagram -- 3.2 Design Methodology -- 4 Requirements, Dataset, and Tools -- 4.1 Visual Studio Code -- 4.2 Dataset -- 4.3 Python -- 5 Result Analysis -- 5.1 Tkinter Application -- 5.2 Upload File -- 5.3 CSV File, Check -- 5.4 Count -- 6 Conclusion -- References -- Attention Deficit Hyperactivity Disorder Using Machine Learning -- 1 Introduction -- 2 Literature Study -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Stock Market Price Prediction Using Sentiment Analysis -- 1 Introduction -- 2 Literature Work. 3 Existing Methods -- 4 Proposed Method -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Hybrid Stacking Algorithm to Detect Fraudulent Transactions in Credit Card -- 1 Introduction -- 1.1 Linear Regression -- 1.2 Types of Boosting Algorithms -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Base Classifier -- 3.2 Meta Classifier -- 3.3 Stacking Algorithm -- 4 Results and Discussion -- 5 Conclusion -- References -- Ovarian Cancer Segmentation and Classification Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Proposed Methodology Overview -- 4.1 Steps Involved in the Proposed Model -- 5 Results and Discussion -- 6 Conclusion -- References -- Smart Video Analysis of Hazard Situation Using CNN Model -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Dataset Description -- 4 Proposed Architecture and Algorithm -- 4.1 Classification -- 4.2 Residual Network -- 4.3 Classification Model -- 5 Conclusion -- References -- Assessment of a Semi-supervised Machine Learning Method for Thwarting Network DDoS Assaults -- 1 Introduction -- 2 Designing DPID Through Data Security -- 3 Projected System Plan -- 4 DDoS -- 5 Categorisation According to the Place of Deployment -- 6 Implementation -- 7 Results -- 8 Conclusions -- References -- Assessment on An Improved Leach Routing Protocol Using Wireless Sensor Network Energy Efficiency -- 1 Introduction -- 2 Motivation -- 3 Objectives -- 4 Related Work -- 5 Problem Statement -- 6 Implementations -- 6.1 Improved Energy-Based Efficient-LEACH Routing Protocol for WSN -- 6.2 Phases of Proposed IEE-LEACH Protocol -- 6.3 The Proposed IEE-LEACH Protocol's Advantages -- 7 Result and Analysis -- 7.1 Simulation Parameters -- 7.2 Results for Dead Nodes in the Sensor Network -- 7.3 Results for Alive Nodes in the Sensor Network. 7.4 Results for Energy Consumed in Each Sensor Node. |
| Record Nr. | UNINA-9910851985003321 |
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Bhateja Vikrant
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information System Design : Proceedings of Eighth International Conference on Information System Design and Intelligent Applications (ISDIA 2024), Volume 2
| Information System Design : Proceedings of Eighth International Conference on Information System Design and Intelligent Applications (ISDIA 2024), Volume 2 |
| Autore | Bhateja Vikrant |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (564 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
TangJinshan
SharmaDilip Kumar PolkowskiZdzislaw AhmadAfaq |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 9789819748952 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910896190303321 |
|
Bhateja Vikrant
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||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Non-Linear Filters for Mammogram Enhancement : A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer / / by Vikrant Bhateja, Mukul Misra, Shabana Urooj
| Non-Linear Filters for Mammogram Enhancement : A Robust Computer-aided Analysis Framework for Early Detection of Breast Cancer / / by Vikrant Bhateja, Mukul Misra, Shabana Urooj |
| Autore | Bhateja Vikrant |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xxviii, 239 pages) : illustrations |
| Disciplina | 618.1907572 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Optical data processing Radiology Cancer research Computational Intelligence Image Processing and Computer Vision Diagnostic Radiology Cancer Research |
| ISBN | 981-15-0442-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction: Computer-aided Analysis of Mammograms for Diagnosis of Breast Cancer -- Mammogram Enhancement: Background -- Methodology: Motivation, Objectives and Proposed Solution Approach -- Performance Evaluation and Benchmarking of Mammogram Enhancement Approaches: Mammographic Image Quality Assessment -- Non-linear Polynomial Filters: Overview, Evolution and Proposed Mathematical Formulation -- Non-linear Polynomial Filters for Contrast Enhancement of Mammograms -- Non-linear Polynomial Filters for Edge Enhancement of Mammograms -- Human Visual System Based Unsharp Masking for Enhancement of Mammograms -- Conclusions and Future Scope: Applications, Contributions and Impact. |
| Record Nr. | UNINA-9910483740603321 |
|
Bhateja Vikrant
|
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||