Proceedings of 4th International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications : Icmisc 2023

• Record Nr.: UNINA9910864198003321
• Autore: Gunjan Vinit Kumar
• Pubbl/distr/stampa: Singapore : , : Springer, , 2024; ©2024
• ISBN: 981-9994-42-X
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (792 pages)
• Collana: Lecture Notes in Networks and Systems Series ; ; v.873
• Altri autori (Persone): ZuradaJacek M
• Disciplina: 307.760285
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Preface -- Contents -- About the Editors -- Smart Glasses for Visually Impaired -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Stock Market Prediction Using Machine Learning: A Review -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Conclusion -- References -- Implementation of Dual-Band Dielectric Resonator Antenna for 5G Applications -- 1 Introduction -- 2 Literature Survey -- 3 Antenna Configuration -- 3.1 Antenna Feed -- 4 Simulation Results -- 5 Conclusion -- References -- Defect Detection in Metal Surfaces Using Computer Vision -- 1 Introduction -- 2 Literature Review -- 3 Research Mythology -- 4 Methodology and Implementation -- 5 Data Analysis -- 6 Results -- 7 Conclusion -- References -- Liver Cirrhosis Prediction Using Machine Learning Classification Techniques -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Data Preprocessing -- 3.4 Feature Selection -- 3.5 Classification Using ML Algorithms -- 3.6 Evaluation Metrics -- 4 Experimental Results -- 4.1 Precision Recall Curves -- 4.2 Evaluation Metrics -- 5 Conclusions -- References -- A Recent Survey on Risk Factors Affecting the Blood Pressure in India -- 1 Introduction -- 2 Motivation -- 3 Factors Affecting the BP -- 3.1 Age's Effect on BP -- 3.2 Obesity Effect on BP -- 3.3 Cholesterol Effect on BP -- 3.4 Anger Effect on BP -- 3.5 Anxiety Effect on BP -- 3.6 Impact of Salt on BP -- ; 3.7 Impact of Alcohol on BP -- 3.8 Impact of Smoking on BP -- 3.9 Impact of Socioeconomic Status on BP -- 4 Hypertension Effects on the Body -- 5 Conclusion -- References -- Real-Time Monitoring System for Breakdown Analysis and OEE in the Wire Drawing Industry -- 1 Introduction -- 2 Methodology -- 3 Current Scenario in the Wire Drawing Industry.; 4 Proposed Solutions -- 5 Requirements for Successful Implementation -- 6 Results Achieved Through the Use of the System -- 7 Results -- 8 Conclusion -- References -- Tooth Sensitivity Device-Detection and Diagnosing of Sensitivity in the Dental Pulp -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Hot Stimulus and Cold Stimulus -- 4 Result and Discussion -- 5 Conclusion -- References -- Recognition of Skin Cancer -- 1 Introduction -- 2 Proposed System -- 3 Literature Review -- 4 Module Description Image Acquisition -- 5 Architecture -- 6 System Perpetration -- 7 The MATLAB Language -- 8 Software Description MATLAB -- 9 Result and Discussion -- 10 Conclusion and Future Scope -- References -- IoT-Based Smart Street Lighting Surveillance System -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Description -- 4 Design Methodology -- 5 Flow Chart of Smart Lighting System -- 6 Advantages -- 7 Limitations -- 8 Result -- 9 Conclusion -- References -- Rock Segmentation of Real Martian Scenes Using Dual Attention Mechanism-Based U-Net -- 1 Introduction -- 2 Materials and Methodology -- 2.1 About Dataset -- 2.2 Methodology -- 3 Result and Discussion -- 4 Conclusion -- References -- IAAS: IoT-Based Automatic Attendance System with Photo Face Recognition in Smart Campus -- 1 Introduction -- 2 Literature Review -- 3 Algorithms -- 4 Problem Statement -- 5 Objective -- 6 System Design and Architecture -- 7 System Requirements -- 7.1 Hardware Requirements -- 7.2 Software Requirements -- 8 System Implementation and Methodology -- 9 Results -- 10 Conclusion -- References -- Hardware Implementation of Moving Object Detection Using Background Subtraction Algorithm -- 1 Introduction -- 2 Literature Survey -- 3 Theoretical Aspects of Motion Detection.; 4 Proposed Hardware Architecture for Motion Detection Using Background Subtraction -- 5 Results -- 5.1 Hardware Utilization -- 5.2 Object Detection Output -- 5.3 Comparison with Existing Work -- 6 Conclusion -- References -- Crime Pattern Identification and Prediction Using Machine Learning -- 1 Introduction -- 2 Methodology -- 2.1 Logistic Regression -- 2.2 Random Forest -- 2.3 Linear Regression -- 2.4 AdaBoost Classifier -- 2.5 K-Nearest-Neighbor -- 2.6 Support Vector Machine -- 2.7 Decision Tree -- 2.8 Data Pre-processing -- 3 Results -- 4 Conclusion -- References -- IMICE: An Improved Missing Data Imputation Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Principal Component Analysis -- 3.2 IMICE -- 3.3 Flowchart -- 4 Experimental Setup -- 4.1 Diabetes Dataset -- 4.2 Results -- 5 Conclusion and Future Work -- References -- Analyzing Students' Opinion on E-Learning-Indian Students' Perspective -- 1 Introduction -- 2 Literature Survey -- 2.1 Research Gap -- 3 Methodology -- 3.1 Data Collection -- 4 Result and Discussion -- 5 Conclusion -- References -- Rash Driving Detection and Alerting System -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Design and Implementation -- 5 Result -- 6 Conclusion -- References -- Logistic-Based OVA-CNN Model for Alzheimer's Disease Detection and Prediction Using MR Images -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Pre-processing -- 3.2 OVA-CNN: Theoretical Concept -- 3.3 OVA-CNN: Architectural Design -- 4 Results and Discussion -- 4.1 Dataset ; and Experimental Setup -- 5 Discussion -- 6 Conclusion -- References -- Comparative Study of CNNs for Camouflaged Object Detection -- 1 Introduction -- 2 Related Work -- 2.1 Camouflaged Object Detection Using SINet -- 2.2 Camouflaged Object Detection Using ERRNet -- 2.3 Camouflaged Object Detection Using DGNet.; 2.4 Camouflaged Object Detection Using SINet-V2 -- 2.5 Camouflaged Object Detection Using HITNet -- 3 Proposed Work -- 4 Results and Discussion -- 4.1 Comparison of Different Models -- 4.2 Analysis of Datasets Used -- 4.3 Evaluation Metrics -- 4.4 Quantization -- 4.5 Deploying the Model on Edge Device -- 5 Future Scope -- 6 Conclusion -- References -- 3D Avatar Reconstruction Using Multi-level Pixel-Aligned Implicit Function -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 FSRCNN -- 3.2 The Coarse-Level Module -- 3.3 The Fine-Level Modules Fine-Level Module -- 3.4 Multi-layer Perceptron (MLP) -- 4 Experimental Results -- 4.1 Dataset Description -- 5 Conclusion -- References -- Helmet Detection Using YOLO-v5 and Paddle OCR for Embedded Systems -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Helmet Detection -- 3.2 License Plate Detection -- 4 Results -- 4.1 Dataset Description -- 4.2 Evaluations Metrics -- 5 Conclusion -- References -- DefogNet: A Residual Network for Removal of Fog Using Weighted Combination Loss -- 1 Introduction -- 2 Related Works -- 3 DefogNet: A Residual Network for Removal of Fog Using Weighted Combination Loss -- 3.1 Loss Functions Used -- 4 Results and Discussions -- 4.1 Dataset Description -- 4.2 Experimental Setup -- 4.3 Results -- References -- Text-to-Image Generation Model with DNN Architecture and Computer Vision for Embedded Devices Using Quantization Technique -- 1 Introduction -- 2 Literature Survey -- 2.1 Text-to-Image Generation by Using GAN -- 2.2 Quantization Techniques -- 2.3 Stable Diffusion Model Architecture -- 3 Proposed Methodology -- 3.1 Text-to-Image Generation -- 3.2 Quantization of the Baseline Model -- 3.3 Porting onto Edge Devices -- 4 Results and Analysis -- 4.1 Dataset Description -- 4.2 Experimental Results -- 5 Conclusion and Future Scope -- References.; One-Shot Learning for Archaeological Site Data Using Deep Neural Network on Embedded Systems -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Results and Discussion -- 5 Conclusion -- References -- EnhanceNet: A Deep Neural Network for Low-Light Image Enhancement with Image Restoration -- 1 Introduction -- 2 Related Works -- 2.1 Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement Author: Chunle Guo et al. -- 2.2 Kindling the Darkness: A Practical Low-light Image Enhancer Author: Yonghua Zhang et al. -- 2.3 Picture Denoising with Deep Neural Networks -- 2.4 Batch Normalization and Residual Learning -- 2.5 Simple Baselines for Image Restoration-NAFNet Author: Liangyu Chen et al. -- 2.6 Deblurring using Analysis-Synthesis Networks Pair Author: Adam Kaufman et al. -- 3 Methodology -- 3.1 Light-Enhancement Curve (LE-Curve) -- 3.2 DCE-Net -- 3.3 Unsupervised Loss Functions -- 3.4 NAFNet -- 4 Results -- 4.1 Datasets -- 4.2 Quantitative Comparisons -- 5 Conclusion -- References -- Indian Music Instrument Classification Using Deep Learning on Embedded Platforms -- 1 Introduction -- 2 Background Study -- 2.1 MFCC -- 2.2 RNNs and LSTM -- 3 Related Works -- 4 Proposed Methodology -- 4.1 Feature Extraction -- 4.2 Classifier Training -- 4.3 Quantization of the Model -- 5 Experimentation and Results -- 5.1 Dataset -- 5.2 Comparing the Results -- 5.3 Deploying the Model on an Edge Device -- 6 Conclusion -- References -- Facial Image Inpainting Using Vision-Based Quantized Conditional Generative Adversarial Network (QCGAN) ; on Edge Device -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Method -- 3.2 Generator with Skip Connections -- 3.3 Discriminator -- 4 Experimentation -- 4.1 Dataset and Preprocessing -- 4.2 Training of the Model -- 4.3 Post-quantization -- 5 Results and Discussion -- 5.1 Visual Analysis.; 5.2 Quantitative Comparison.