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Data Science and Applications : Proceedings of ICDSA 2023, Volume 3
| Data Science and Applications : Proceedings of ICDSA 2023, Volume 3 |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (596 pages) |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9978-17-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- PV Array System Stimulation Affected by Variability in Temperature and Location -- 1 Introduction -- 2 Phtotvoltaic Systems -- 3 System Description -- 3.1 Boost Converter -- 3.2 Inverter -- 3.3 Boost Converter Control Scheme -- 3.4 Inverter Control Scheme -- 4 Conclusion -- References -- A Real-Time Cataract Detection and Diagnosis Through Web-Based Imaging Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Existing System -- 4 Proposed System -- 5 Dataset Details -- 6 Experimental Setup -- 7 Methodology -- 8 Algorithms Used -- 9 Results and Discussions -- 10 Performance Metrics -- 11 Comparative Analysis -- 12 Conclusion -- References -- A Survey of Decentralized Digital Voting System Using Blockchain Technology -- 1 Introduction -- 2 Elements of Voting Systems -- 3 Centralized Voting Technologies -- 3.1 SMS-Based Smartphone Application -- 3.2 Secure Voting Using Biometrics -- 3.3 Authenticated Web-Based Voting -- 3.4 Technologies Used in Constructing E-Voting System -- 4 Blockchain -- 4.1 Smart Contracts -- 4.2 Transactions -- 4.3 Role of Ethereum -- 5 Decentralized E-Voting Systems Overview -- 5.1 Quantum Blockchain -- 5.2 E-Voting with Blockchain -- 5.3 Verify-Your-Vote -- 5.4 E-voting Based on Blockchain and Blind Signature -- 5.5 Privacy Preserving Protocol -- 5.6 Large Scale Election Using Blockchain and Ring Signature -- 5.7 Existing Working Organizations -- 6 Challenges -- 6.1 Challenges of Blockchain -- 6.2 Scalability -- 6.3 Immatureness -- 6.4 Acceptance -- 6.5 Coercion -- 6.6 Energy Efficiency -- 6.7 Governmental Authority Opposition -- 6.8 Security Requirements -- 6.9 Open Issues -- 7 Conclusions -- References -- Multiple Infectious Disease Diagnosis and Detection Using Advanced CNN Models -- 1 Introduction -- 1.1 Paper Structure -- 2 Literature Survey -- 3 Methodology.
3.1 Dataset -- 3.2 Preprocessing -- 3.3 Applied Models -- 3.4 Performance Metrics -- 4 Results -- 5 Conclusion -- References -- Development of Indoor Autonomous Mobile BOT for Static Obstacle Avoidance -- 1 Introduction -- 2 AutoBOT Hardware -- 2.1 NodeMCU ESP12E Module -- 2.2 Ultrasonic Sensor -- 2.3 Infrared Sensor -- 2.4 L298N Driver Module -- 3 AutoBOT Software -- 4 Environment -- 5 Control Interface -- 6 Data Collection and Hardware Results -- 7 Conclusion -- References -- Forest Fire Detection and Prediction Using HSV and MLP -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 4 Technology -- 5 Dataset, Testing and Experiments -- 6 Results and Future Work -- 7 Conclusion -- References -- An Insight into Recent Advances in the Intelligent Controller Methods -- 1 Introduction -- 1.1 Fractional-Order PID Controller (FOPIDC) -- 2 Intelligent Control -- 2.1 Characteristics, Challenges, and Application of Intelligent Control System -- 3 Evolution in Intelligent Controller -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Some Observations on Social Media Mining tools for Health Applications -- 1 Introduction -- 2 Social Media Mining for Health Applications (SMM4HA) -- 3 Issues and Challenges -- 4 Observations of Various Methods Used for SMM4HA -- 5 Conclusion -- References -- Smart Contact Lenses for Monitoring Patient's Vision: A Generic Review -- 1 Introduction -- 2 Why Do Cataracts Occur? And Its Surgery -- 3 How the Eyes Function -- 4 Human Eye Lens -- 5 Related Work -- 5.1 Screen Reader -- 5.2 Braille Displays -- 5.3 Text-to-Speech (TTS) Software -- 5.4 Navigation Aids -- 5.5 Optical Character Recognition (OCR) Software -- 5.6 Voice Assistants -- 6 Recommendation -- 7 Conclusion -- References -- Liver Lesion Detection from MR T1 In-Phase and Out-Phase Fused Images and CT Images Using YOLOv8. 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Setup and Results -- 4.1 Experimental Environment -- 4.2 Dataset -- 4.3 Performance Metrics -- 4.4 Experimental Setup -- 4.5 Results -- 5 Conclusion -- References -- Analyzing Blockchain Data to Detect Bitcoin Addresses Involved in Illicit Activities Using Anomaly Detection -- 1 Introduction -- 2 Literature Review -- 3 Experimental Set up and Algorithm Used -- 3.1 HPCC Systems Architecture -- 3.2 R and R Studio -- 3.3 Algorithm Used: K-Means Clustering -- 4 Methodology -- 4.1 Parser -- 4.2 Feature Extraction -- 4.3 Clustering and Analysis -- 5 Discussion of Results -- 6 Conclusion and Future Scope -- References -- Comparing Spring Boot and ReactJS with Other Web Development Frameworks: A Study -- 1 Introduction -- 1.1 History -- 1.2 Need of Study -- 1.3 Overview -- 2 Review of Literature -- 3 Methodology -- 4 Result -- 5 Discussion -- 6 Conclusion -- References -- Performance Analysis of InceptionV3, VGG16, and Resnet50 Models for Crevices Recognition on Surfaces -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Understanding the Dataset -- 3.2 Data Preprocessing -- 3.3 Designing Model for Crack Detection Using Resnet50, VGG16, and InceptionV3 -- 3.4 Training of Models -- 3.5 Testing of Models -- 4 Results and Discussion -- 5 Conclusion -- References -- A Machine Learning Approach for Moderating Toxic Hinglish Comments of YouTube Videos -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset Collection and Visualization -- 3.2 Text Preprocessing -- 3.3 Model Creation -- 4 Results and Discussion -- 5 Open Challenges -- 5.1 Collecting a Larger Dataset of Hinglish Toxic Comments -- 5.2 Capturing the Contextual and Cultural Nuances of Hinglish Text -- 5.3 Utilizing More Advanced NLP and Machine Learning Techniques. 5.4 Mitigating Human Biases in the Manual Annotation -- 6 Conclusion -- References -- Instant Accident Detection and Emergency Alert System -- 1 Introduction -- 2 Related Work -- 3 Existing System -- 4 Proposed System -- 5 Methodology -- 5.1 Authentication Module -- 5.2 Detection Module -- 5.3 Alert Module -- 6 Results and Discussion -- 7 Conclusion -- References -- A Novel Approach to Video Summarization Using AI-GPT and Speech Recognition -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 4 Result -- 5 Discussion/Future Works -- 6 Conclusion -- References -- Classification of Underwater Fish Species Using Custom-Built Deep Learning Architectures -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Feature Extraction -- 3.2 Classification -- 3.3 Data Set -- 3.4 Data Pre-processing -- 3.5 Splitting the Data Set -- 3.6 Training the Model -- 3.7 Testing the Model -- 4 Architecture -- 4.1 Vgg16 -- 4.2 MobileNetV2 -- 4.3 ResNet50 -- 5 Results -- 5.1 Predictions -- 5.2 Graphs -- 5.3 Confusion Matrix -- 6 Conclusion -- 7 Future Enhancements -- References -- Deep Learning-Based Approach for Plant Disease Classification -- 1 Introduction -- 2 Literature Survey -- 3 Working Flow of the Model -- 4 Proposed Architecture for Neural Network -- 5 Implementation and Result Analysis -- 6 Conclusions -- References -- Prediction of Liver Disease Using Machine Learning Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Dataset Description -- 4 Proposed Methodology -- 4.1 Data Preprocessing -- 4.2 Label Encoding -- 4.3 Pearson Correlation Coefficient-Based Feature Selection (PCC-FS) -- 4.4 Oversampling -- 4.5 Feature Scaling -- 4.6 Classification -- 4.7 Evaluation Measures -- 5 Results -- 6 Conclusion -- References -- Analysis of Detection of Glioma by Segmentation of Brain Tumor MRI Images Using Deep Learning -- 1 Introduction. 2 Techniques for Segmenting Brain Tumor Images -- 2.1 Manual Segmentation Methods -- 2.2 Semi-Automatic Segmentation Methods -- 2.3 Fully Automatic Segmentation Methods -- 3 Challenges in Fully Automatic Segmentation Methods -- 4 Dataset -- 5 Deep Learning Methods -- 6 Conclusions -- References -- CloneAI: A Deep Learning-Based Approach for Cloned Voice Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Employed -- 3.2 Pre-processing and Feature Extraction -- 3.3 Model Implementation -- 4 Results and Discussion -- 5 Conclusion -- References -- Analyzing the Performance and Wireless Network Capacity of NOMA: Study of the Impact of OMA and NOMA on 5G Network -- 1 Introduction -- 2 System Model -- 3 Literature Survey -- 4 Compared Analysis -- 5 Conclusion -- References -- Malaria Parasite Detection Using Deep Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Dataset -- 3.2 Data Preprocessing -- 3.3 Model Training and Classification -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- IoT-Based Agriculture: Identification and Classification of Apple Quality Using Deep Learning -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Problem Statement -- 3.2 Proposed Methodology -- 4 Results Analysis -- 5 Conclusion -- References -- Plant Disease Detection on Edge Devices -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 Deep Learning Models -- 4.1 Comparison Between Model Sizes -- 4.2 Framework -- 5 Raspberry Pi Implementation -- 5.1 Integrated Gradients -- 6 Results -- 6.1 Raspberry Pi's Performance -- 7 Conclusion -- References -- Analyze the Quality of Wine Based on Machine Learning Approach -- 1 Introduction -- 2 Literature Survey -- 3 Quality Prediction Model -- 4 Results and Analysis -- 5 Conclusion -- References. Safeguarding Financial Transaction with Cryptocurrency. |
| Record Nr. | UNINA-9910805579003321 |
Nanda Satyasai Jagannath
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science and Applications : Proceedings of ICDSA 2023, Volume 1
| Data Science and Applications : Proceedings of ICDSA 2023, Volume 1 |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (569 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9978-62-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Climate Change Parameter Dataset (CCPD): A Benchmark Dataset for Climate Change Parameters in Jammu and Kashmir -- 1 Introduction -- 2 Background and Related Work -- 3 Methodology -- 3.1 Overview -- 3.2 Forest Cover -- 3.3 Water Bodies -- 3.4 Agriculture and Vegetation -- 3.5 Population -- 3.6 Temperature -- 3.7 Construction -- 3.8 Air Index -- 4 Dataset Results -- 5 Conclusion -- References -- Brain Tumor Classification Using Deep Learning Techniques -- 1 Introduction -- 2 Review of Previous Work -- 3 Information About the Data and Environmental Setup -- 3.1 Data Preparation and Exploration -- 4 Convolutional Neural Networks and Techniques Implemented -- 4.1 AlexNetV2 -- 4.2 VGG-16 -- 4.3 ResNet-50 -- 4.4 Inception-ResNet -- 4.5 MobileNetv2 -- 5 Experimental Approaches -- 5.1 Novel CNN Architecture -- 5.2 Parallel Networks Model -- 5.3 Machine Learning Assisted -- 6 Optimisation Using Nature-Inspired Algorithms -- 6.1 Particle Swarm Optimization -- 6.2 Genetic Algorithm -- 7 Conclusion -- References -- Machine Learning-Based Hardware Trojans Detection in Integrated Circuits: A Systematic Review -- 1 Introduction -- 2 Machine Learning and Models -- 3 A Review of Machine Learning Methods for Hardware Trojan Detection -- 3.1 Reverse Engineering -- 3.2 Circuit Feature Analysis -- 3.3 Side-Channel Analysis -- 3.4 Golden Model Free Analysis -- 3.5 Classification Approaches -- 3.6 Final Result of Hardware Trojan Detection Approaches -- 4 Discussion and Future Work -- 5 Conclusion -- References -- Impact of Technostress on Employee Retention and Employee Turnover -- 1 Introduction -- 2 Literature Review -- 3 Theoretical Background and Hypothesis -- 4 Methodology -- 5 Data Analysis and Discussion -- 6 Limitations and Future Scope -- 7 Conclusion -- References.
Single Image Dehazing Using DCP with Varying Scattering Constant -- 1 Introduction -- 2 Haze Formation Model -- 3 Solution Approach -- 3.1 Estimation of Atmospheric Light Using DCP -- 3.2 Estimating Omega -- 4 Results and Discussion -- 5 Conclusion -- References -- Detecting IoT Malware Using Federated Learning -- 1 Introduction -- 2 Related Works -- 2.1 Signature-Based Detection -- 2.2 Behavior-Based Detection -- 2.3 Machine Learning-Based Detection -- 2.4 Deep Learning-Based Detection -- 2.5 Motivation for Federated Learning -- 3 Federated Learning -- 3.1 Overview of Federated Learning -- 3.2 Mathematical Formulation -- 3.3 Challenges and Considerations in Federated Learning -- 4 Federated Learning Strategy for IoT Malware Recognition -- 4.1 Obstacles and Rationale -- 4.2 Model Design -- 4.3 Procedure of Federated Learning -- 5 Experimental Results and Evaluation -- 6 Conclusion -- References -- A Deep Learning Approach for BGP Security Improvement -- 1 Introduction -- 2 Related Work -- 3 Deep Learning Models -- 3.1 Convolutional Neural Network (CNN) -- 4 Dataset -- 5 Proposed Technique -- 6 Evaluation Metrics -- 7 Experimental Results -- 8 Conclusion -- References -- Wireless Sensor Network Protocols in Underwater Communication -- 1 Introduction -- 1.1 Underwater Wireless Sensor Network Architecture -- 2 Challenges Regarding UWSNs -- 2.1 Propagation Delay -- 2.2 Bandwidth -- 2.3 Energy Consumption -- 2.4 Communication Coverage -- 2.5 Attenuation -- 2.6 Cost -- 2.7 Sophisticated Techniques -- 3 Routing Protocols -- 3.1 Localization-Based Protocols -- 3.2 Localization-Free Protocols -- 3.3 Cooperation Routing -- 4 Conclusion -- References -- A Genetic Algorithm Approach for Portfolio Optimization -- 1 Introduction -- 1.1 Techniques for Portfolio Optimization -- 2 Genetic Algorithm -- 3 Scope of Genetic Algorithm -- 4 Fitness Function. 5 Genetic Algorithm-Based Portfolio Optimization -- 6 Result and Analysis -- 7 Advantages -- 8 Conclusion -- References -- Security Issues and Solutions in Post Quantum Authenticated Key Exchange for Mobile Devices -- 1 Introduction -- 2 Contribution -- 3 Description of Signal Leakage Attack -- 4 Preliminaries -- 5 Dabra et al. ``Lattice-Based Key Exchange for Mobile Devices ch10dabra2020lba'' -- 6 Statement of Problem -- 6.1 Registration Issues -- 6.2 Password Change Issues -- 6.3 Insider Attack -- 6.4 Signal Leakage Attack -- 7 Changes Required in Dabra et al.'s Registration Phase -- 8 Conclusion/Future Directions -- References -- Towards Decentralized Fog Computing: A Comprehensive Review of Models, Architectures, and Services -- 1 Introduction -- 1.1 Fog Computing, an Extension of Cloud Computing -- 1.2 Fog Over Cloud -- 1.3 Transition from Cloud to Fog -- 2 Motivation -- 3 Literature Survey -- 4 Architectural Model -- 4.1 Architectural Styles -- 4.2 Views -- 4.3 Dimensions -- 4.4 Related Work -- 5 Discussion -- 6 Research Contributions -- 7 Conclusion -- References -- Analysis of Various Mac Protocols in 802.11 AX -- 1 Introduction -- 1.1 OFDMA Multi-user Transmissions in 802.11ax -- 2 Literature Review -- 2.1 Comparison Table -- 3 Conclusion -- References -- Monkeypox Disease Classification Using HOG-SVM Model -- 1 Introduction -- 1.1 Transmission -- 1.2 Symptoms of Monkeypox Disease -- 1.3 Traditional Detection -- 1.4 Traditional Treatments of Monkeypox -- 1.5 AI-Based Detection -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Feature Extraction -- 3.3 Classification -- 3.4 Support Vector Machine (SVM) -- 4 Implementation -- 5 Evaluation Matrices -- 6 Result -- 7 Conclusion -- References -- A Deep Learning Model for Automatic Recognition of Facial Expressions Using Haar Cascade Images -- 1 Introduction. 2 Literature Review -- 3 The Presented Approach -- 3.1 Dataset -- 3.2 Pre-processing -- 3.3 Presented Deep Learning Model -- 3.4 Testing -- 4 Result -- 5 Conclusion and Future Work -- References -- Sensing Performance Analysis Using Choatic Signal-Based SCMA Codebook for Secure Cognitive Communication System in 5G -- 1 Introduction -- 1.1 Related Work -- 2 SCMA with Chaotic Sequence-Based System Analysis -- 2.1 Dynamic Characteristic of Chaotic Sequence -- 2.2 SCMA Modeling -- 3 System Model -- 3.1 SCMA Encoding -- 3.2 SCMA Decoding -- 4 Proposed Detection Method -- 4.1 Binary Hypothesis Testing -- 4.2 Wald Hypothesis Test -- 4.3 Weight Assignment Method -- 4.4 Experimental Setup -- 5 Detection Performance Analysis -- 6 Conclusion -- References -- Identification of Severity Level for Diabetic Retinopathy Detection Using Neural Networks -- 1 Introduction -- 2 Review of Literature -- 3 Motivation of Proposed Research Work -- 4 Existing Datasets -- 4.1 Dataset from Zenodo -- 4.2 EyePACS Dataset from Kaggle -- 4.3 APTOS Dataset from Kaggle -- 5 Proposed Methodology -- 5.1 Flow of the Proposed Work -- 5.2 Preprocessing on the Dataset -- 5.3 Architecture Used for the Proposed Work -- 5.4 Implementation Platform and Performance Matrix -- 6 Results -- 7 Conclusion -- 8 Future Work -- References -- Metaheuristic Optimized BiLSTM Univariate Time Series Forecasting of Gold Prices -- 1 Introduction -- 2 Related Works -- 2.1 BiLSTM Overview -- 2.2 Variation Mode Decomposition -- 2.3 Metaheuristics Optimization -- 3 Methods -- 3.1 Overview of Basic Moth Flame Optimizer Algorithm -- 3.2 Modified MFO -- 4 Experiments and Discussion -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results and Discussion -- 5 Conclusion -- References -- Improvised Neural Machine Translation Model for Hinglish to English -- 1 Introduction -- 2 Literature Review. 2.1 Sequence-to-Sequence (STS) -- 2.2 Attention (ATT) Model -- 3 Methodology -- 3.1 Dataset -- 3.2 Processing Data -- 3.3 Proposed System -- 4 Results -- 5 Discussion -- 5.1 No Smoothing -- 5.2 Laplace Smoothing -- 5.3 Additive Smoothing -- 5.4 Exponential Smoothing -- 5.5 Chen and Cherry Smoothing -- 6 Conclusion -- References -- Recording of Class Attendance Using DL-Based Face Recognition Method -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 Dataset Creation -- 3.2 Preprocessing -- 3.3 Face Detection and Recognition -- 3.4 Attendance Marking and Report Generation -- 3.5 Implementation -- 4 Result Analysis -- 5 Conclusions -- References -- Machine Learning Enabled Hairstyle Recommender System Using Multilayer Perceptron -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Facial Landmark Detection -- 3.4 Face Shape Classification -- 3.5 Model Comparison -- 3.6 Recommendation -- 4 Results and Discussion -- 5 Conclusion -- References -- Automated Health Insurance Management Framework with Intelligent Fraud Detection, Premium Prediction, and Risk Prediction -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Dataset Specifics -- 3.2 Exploratory Data Analysis -- 3.3 Feature Engineering and Selection -- 3.4 Machine Learning Models -- 4 Experimental Results and Discussion -- 5 Conclusion and Future Work -- References -- Responsible Artificial Intelligence for Music Recommendation -- 1 Introduction -- 2 Background and Motivation -- 3 Literature Review -- 3.1 Identifying Research Gaps in the Literature -- 3.2 Contributions of This Paper -- 4 Methodology -- 4.1 Data Acquiring and EDA -- 4.2 Model Development and Evaluation -- 4.3 Feature Importance and Model Retrain -- 4.4 Explainable AI -- 5 Results -- 6 Conclusion -- 7 Future Work -- References. A Robot Mapping Technique for Indoor Environments. |
| Record Nr. | UNINA-9910838288103321 |
|
Nanda Satyasai Jagannath
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science and Applications : Proceedings of ICDSA 2023, Volume 2
| Data Science and Applications : Proceedings of ICDSA 2023, Volume 2 |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (533 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 981-9978-20-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Comparative Analysis of Various SRAM Bit Cells for 32 nm Technology Node -- 1 Introduction -- 2 Review of Pre-existing Cells -- 3 Stability Analysis -- 3.1 Hold Static Noise Margin (HSNM) -- 3.2 Read Static Noise Margin (RSNM) -- 3.3 Write Margin (WM) -- 4 Half Select Disturbance -- 5 Conclusion -- References -- Uncovering the Threat: Exploring Covert Channel Attacks Via Audio Files in Android Applications -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Conclusion -- References -- Emotion Recognition Through Facial Expressions from Images Using Deep Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Face Detection -- 3.2 Image Preprocessing -- 3.3 Feature Extraction -- 3.4 Emotion Classification -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Experimental Results -- 5 Conclusion -- References -- Optimization of Process Parameters in the Abrasive Waterjet Machining Using Bees Algorithm -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Solution Development -- 4.1 Model or Prototype Solution -- 5 The Mathematical Model -- 5.1 Solution Development -- 5.2 Data Processing -- 6 Validation and Result Analysis -- 6.1 Experimental Design -- 6.2 Result Illustration and Explanation -- 6.3 Validation of the BA Result -- 6.4 Result Analysis -- 7 Conclusion -- References -- Advancement on Steganography: A Review -- 1 Introduction -- 2 Background -- 3 Understanding Various Techniques and Methodologies -- 3.1 Spatial Domain Techniques -- 3.2 Frequency Domain Techniques -- 4 Literature Review -- 5 Possible Problems Faced -- 6 Conclusion -- References -- Ethereum Blockchain for Private Equity Crowdfunding: Enabling Seamless USDC and Share Token Transactions -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Methodology -- 5 Results.
6 Conclusion -- References -- Graph Convolutional Neural Network for IC50 Prediction Model Using Amyotrophic Lateral Sclerosis Targets -- 1 Introduction -- 2 Dataset Formulation -- 3 Model Building -- 4 Results and Discussion -- 5 Conclusion -- References -- Cardiovascular Disease Prediction Using Deep Learning Models -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Pre-processing and Cleaning Method -- 3.2 Regularization Technique -- 4 Results -- 5 Conclusions -- 6 Future Scope -- References -- Classification of Skin Cancer Using Integrated Methodology -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Data Set -- 3.2 Model Implementation and Training -- 4 Results and Analysis -- 5 Conclusion -- References -- Identification of Mycobacterium Tuberculosis Employing VGG-16 Feature Extraction and Classification Using Prominent Machine Learning Classifiers on X-rays -- 1 Introduction -- 2 Literature Review -- 3 Material and Methods -- 3.1 Dataset and Preprocessing -- 3.2 Feature Extraction -- 3.3 ML Classifiers -- 3.4 Performance Metrics -- 4 Results and Discussion -- 5 Conclusion -- References -- Cybercrime Analysis of India Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Dataset Description -- 3.1 Cybercrimes -- 3.2 Cybercrimes Types -- 3.3 Cybercrimes Motives -- 4 Methodology -- 4.1 Data Preprocessing -- 4.2 Approach -- 4.3 System Architecture -- 5 Results and Analysis -- 5.1 Cybercrimes -- 5.2 Cybercrime Types -- 5.3 Cybercrimes Motives -- 6 Conclusion -- References -- Mapping a Conceptual Model of Colour Forecasting: A Review of Machine Learning Algorithms for Enhanced Prediction Accuracy and Efficiency -- 1 Background -- 1.1 The Era of Digital Colour Forecasting -- 2 Significance of Colour Trend Forecasting -- 2.1 The Colour Cycle -- 2.2 Process of Colour Forecasting. 3 Science Meets Intuition -- 3.1 Big Data for Colour Forecasting -- 3.2 Artificial Intelligence Techniques for Colour Trend Forecasting -- 3.3 Databases -- 3.4 Applications of Machine Learning in Colour Identification Process -- 4 Colour System and Colour Spaces -- 4.1 Pantone Colour System -- 5 Discussion -- 6 Conclusion -- References -- Estimation of Net Primary Productivity Using CASA Biosphere Model in Hyderabad and Roorkee Region of India -- 1 Introduction -- 2 Literature Review -- 3 Study Area -- 4 Dataset Used for Analysis -- 4.1 Soil Data -- 4.2 Vegetation Data -- 4.3 Land Use Data -- 5 Model Structure -- 6 Results -- 6.1 NPP Variation within a Year -- 6.2 NPP Variation Over the Years -- 7 Conclusion -- References -- Machine Learning Models for Chronic Renal Disease Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Preprocessing: Handling Missing Value -- 3.2 Data Preprocessing: Feature Selection -- 3.3 Model Training -- 3.4 Model Evaluation and Selection -- 4 Discussion -- 5 Conclusion and Future Work -- References -- ARTHRO-Knee Osteoarthritis Detection Using Deep Learning -- 1 Introduction -- 2 Related Survey -- 3 Material and Methods -- 3.1 Dataset -- 3.2 Preprocessing -- 3.3 Convolutional Neural Networks -- 4 Proposed Method -- 5 Results and Discussion -- 6 Conclusion -- References -- Improvised Real-Time Tweet Analysis for Brand Recognition -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 4 Result and Discussion -- 5 Conclusion -- References -- AI-Based Facial Emotion Recognition -- 1 Introduction -- 2 Related Work -- 3 Simulation Setup -- 3.1 Background -- 3.2 Dataset, Preprocessing, and Augmentation -- 3.3 Improved VGG16 Architecture -- 3.4 Tuning -- 4 Results -- 5 Observations -- 6 Conclusion -- References. Improved Genetic Algorithm in a Static Environment for the Robotic Path Planning Problem -- 1 Introduction -- 2 Description of the Optimization Problem -- 2.1 Robotic Path Planning Problem -- 2.2 Genetic Algorithm -- 2.3 Genetic Algorithm in Path Planning -- 2.4 Problem Model -- 2.5 Optimization Method -- 3 Optimization Framework and Test Cases -- 4 Results -- 5 Conclusion and Outlook -- References -- Development of An Event-Based Dataset For Abnormal Activity Detection -- 1 Introduction -- 2 Related Works -- 2.1 Machine Learning Using Event Camera Datasets -- 2.2 Methodology -- 3 Experiments -- 3.1 Event Dataset for Abnormal Activity Detection -- 3.2 Clustering on Event Dataset -- 4 Future Work and Conclusion -- References -- Media Text Analysis Based on One-Dimensional Hashtag Embeddings -- 1 Introduction -- 2 Notation and Problem Definition -- 3 Methodology -- 4 Empirical Results -- 4.1 Dataset Description -- 4.2 One-Dimensional Embedding -- 5 Conclusion -- References -- Occluded Face Recognition Using Non-Global Features Extraction and K-Means Clustering Algorithm -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Image Preprocessing -- 3.2 Features Extraction -- 3.3 Classifiers -- 4 Experimental Setup -- 4.1 Datasets -- 4.2 Results -- 5 Conclusion -- References -- Brain Tumor Segmentation Using Gaussian-Based U-Net Architecture -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 BraTS Dataset -- 3.2 Pre-processing -- 3.3 U-Net Architecture -- 3.4 Model Training -- 3.5 Model Evaluation Metrics -- 3.6 Numerical Result and Discussion -- 3.7 Merits and Contrast -- 4 Conclusion and Future Work -- References -- Utility of Smoothing Techniques in Yield Curve Modeling for Non-Steady State Data of Sri Lanka Capital Market -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Experiment -- 5 Results -- 6 Discussion. 7 Conclusion -- References -- WSN-Based Secure and Energy-Efficient Smart Parking Management System (SPMS) Using FFA-ANN -- 1 Introduction -- 2 Motivation of Research -- 3 Related Work -- 4 Problem Definition -- 5 Proposed Work -- 6 Result and Discussions -- 6.1 Network Throughput -- 6.2 Number of Alive Nodes -- 7 Conclusion -- References -- Multilingual Approach to Decode Shree Rama Prashanavali Using Character Recognition and String Matching -- 1 Introduction -- 2 Literature and Survey -- 3 Methodology -- 3.1 Algorithm for the Proposed Work -- 4 Results and Discussions -- 5 Conclusion -- References -- An Enhanced Approach for Automatic Sound Event Detection Using Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Data Set -- 3.2 Feature Extraction -- 3.3 Model Implementation -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Detecting Issues Related to Environmental, Social, and Corporate Governance Using SEC-BERT -- 1 Introduction -- 2 Related Works -- 3 Problem Statement -- 4 Dataset -- 5 Methodology -- 6 Experiments and Results -- 7 ESG Issue Detector (EID) Tool -- 8 Conclusion -- References -- Comprehensive Analysis of Deep Learning Models for Brain Tumor Detection from Medical Imaging -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 AlexNet -- 3.2 VGG-16 [12] -- 3.3 ResNet50 -- 3.4 DenseNet-121 -- 3.5 GoogleNet -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Experiments and Result Analysis -- 5 Conclusion -- References -- Face Counting Based on Pre-trained Machine Learning Models: A Brief Systematic Review -- 1 Introduction -- 2 Background Study -- 3 Face Detection Algorithms -- 3.1 Haar Cascade Classifier -- 3.2 Multi-task Cascaded Convolutional Networks (MTCNN) Architecture -- 3.3 RetinaFace Architecture -- 4 Results -- 5 Discussion -- 6 Conclusion -- References. A Machine Learning-Driven Soil Nutrient and Crop Yield Recommendation Platform with Pesticide Suggestions. |
| Record Nr. | UNINA-9910841863303321 |
|
Nanda Satyasai Jagannath
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science and Applications : Proceedings of ICDSA 2023, Volume 4
| Data Science and Applications : Proceedings of ICDSA 2023, Volume 4 |
| Autore | Nanda Satyasai Jagannath |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (546 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
YadavRajendra Prasad
GandomiAmir H SaraswatMukesh |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9789819978144
9789819978137 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910841854503321 |
|
Nanda Satyasai Jagannath
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the international conference on paradigms of communication, computing and data sciences : PCCDS 2021 / / edited by Rajendra Prasad Yadav [and three others]
| Proceedings of the international conference on paradigms of communication, computing and data sciences : PCCDS 2021 / / edited by Rajendra Prasad Yadav [and three others] |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (764 pages) |
| Disciplina | 215 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico | Computer science |
| ISBN | 981-19-8742-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674347503321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||