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1857.10-2021 - IEEE Standard for Third-Generation Video Coding / / Institute of Electrical and Electronics Engineers
| 1857.10-2021 - IEEE Standard for Third-Generation Video Coding / / Institute of Electrical and Electronics Engineers |
| Pubbl/distr/stampa | [Place of publication not identified] : , : IEEE, , 2022 |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina | 001.42 |
| Soggetto topico | Quantitative research |
| ISBN | 1-5044-8140-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996574836403316 |
| [Place of publication not identified] : , : IEEE, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Accelerating Discoveries in Data Science and Artificial Intelligence I : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana
| Accelerating Discoveries in Data Science and Artificial Intelligence I : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (862 pages) |
| Disciplina | 006.3 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Probabilities
Machine learning Mathematical statistics Quantitative research Probability Theory Machine Learning Mathematical Statistics Data Analysis and Big Data |
| ISBN | 3-031-51167-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis of fraud detection approaches in online payment systems (Mandakini) -- Investigating Context-Aware Sentiment Classification Using Machine Learning Algorithms (P. Kiumar) -- Opioid Recommendation To Arthroplasty Patients Using Pearson Correlation And Shapiro Wilk Test (R Sindhi) -- POS Tagger Using LSTM and Pre-Trained Word Embeddings (Joshi) -- An early-stage colorectal cancer detection from colonoscopy images using Enhanced Res-UNET (Mahanty) -- Prediction of Rice Leaf Diseases at an Early Stage using Deep Neural Networks (Mahanty) -- A Study of the impact of implementing a procedure for Creation of Risk Factor Software (Sriramulu) -- Chat Analysis and Spam Detection of Whatsapp using Machine Learning (Shaik) -- A Study of Hate Speech Detection Using Different Models (Mihir) -- Image Feature Narrator for Blind (R Soujanya) -- Recognition of Indian gestural language through neural networks: Narrative approach (Akula) -- Frequency and Voltage control of multi area multi source power system using whale optimization algorithm (Simhadri) -- Tumor Prediction Using Microarray Gene Expression Profiles Through SVM and CBFS (Bandyopadhyay) -- Advanced Machine Learning Approaches for Improving Traffic Flow Predictions in Smart Transportation Systems (Kanakaprabha) -- Deep Learning Based Surroundings Descriptor for Visually Challenged (Kasireddi) -- Wind power prediction using artificial neural network model : a case study (Bouabdallaoui) -- Optimizing Wind Farm Design by Incorporating Wind Turbines of Diverse Hub Heights through PSO (El jaadi) -- Use of Regression Algorithm for Bike Ride Sharing Demand Projection (Pangaonkar) -- Quantifiable Techniques To Improve Covid Expectation Model Of Cox Regression (G Priyanka) -- Bayesian Optimized Random Forest Classifier for Improved Credit Card Fraud Detection: Overcoming Challenges and Limitations (P K Rajesh) -- Early Stage Detection Of Pcos Using Deep Learning (Venkata) -- Challenges and advancement in Federated Recommendation System: A Comprehensive Review (Otari) -- Conditional DCGAN for Targeted Generation of MNIST Handwritten Digits (Vasamsetti) -- Predicting Cryptocurrency Price Using Multiple Deep Learning Models (Durga) -- An Overview: Progressive Report on Magic Labelling (Biswas) -- Efficient Object Detection, Segmentation, and Recognition using YOLO Model (Sharma) -- Music Genre Classification using XGB Boost (Himabindu) -- Semantic Web 3.0 Streaming Based Music Application (Shaik) -- A Novel Approach for Text Classification using Feature Selection Algorithm and Term Weight Measures (RaviKumar) -- Content Based Music Video Recommender system using Cosine Similarity (Musarrath) -- A comparative study on Anomaly Based Network Intrusion Detection System (Potti) -- A spatiotemporal comprehensive graph based learning for GIF sentiment analysis (Bhattacharyya) -- A Novel Framework for Detection of Objects from Video Using Deep Learning Technique (Mulla) -- Recognition of Emotion behind Speech using Deep Learning RESNET Algorithm (Pinnamaraju) -- Exploring Sign Language Recognition Methods: An Effective Kernel Approach (Manogna) -- Identification of Gradient based Attacks on Autonomous Vehicle Traffic Recognition system using Statistical method (Lakshmeeswari) -- Sentiment Analysis of Tweets Using TF-IDF Vectorizer and Lemmatization with POS-Tagging (Saripilli) -- An Overview of Interval-valued Intuitionistic Trapezoidal Fuzzy Number (IVITFN) and its Applications using Fuzzy Logic Techniques (Murty) -- A Machine Learning Approach for DDoS attacks detection in CIC-DDoS2019 dataset using Multiple linear regression algorithm (Lakshmeeswari) -- Image Fusion With CT And MRI Images For Improving The Quality Of Diagnostic (Shaik) -- Comparative Analysis Of Lung Sac Inflation (Kakulapati) -- Voice Assistant For Driver Drowsiness Detection (Gondi) -- Prediction Using Sentiment Analysis On Multi Domain Category: Stocks, Politics Using Twitter Repository (Gaviredla) -- Hyperparameter Optimization for Gradient Boosted Tree-Based Machine Learning Models and Their Effect on Model Performance (Abdulkader) -- Medical Data Security with Blockchain and Artificial Intelligence Using SecNet (Laxmikanth) -- A Regression Analysis of iPhone 11 Pricing Factors (Umesh) -- Classification of Alzheimer's Disease using deep learning methodologies on MR Images (Kumar) -- Taxonomy of Intrusion detection and its effectiveness in Internet of Things (Ramakrishna) -- Design And Evaluation Of Plant Leaf Disease Detection Based On Cnn Classification System (Ramakrishna) -- Air Pollution Forecasting using Deep Learning algorithms: A Review (M S Rao) -- Health Care Monitoring System using Artificial Intelligence for Diabetic Skin Diseases (Godi) -- Proposed framework for a doctor appointment using Chatbot in Tanzania (Chatumba) -- Blockchain-Based Ether Transmission, Which Gives Ledgers Transparency And Security (Tippana) -- Fruit Identification And Classification Using Machine Learning (Reddy) -- Impact of Covid-19 in Society and review of Machine Learning Algorithm in Diagnosis (Sivaramakrishnan) -- Medicinal Leaf Prediction and Disease Identification using Machine Learning Techniques (Srinivasa Rao) -- Deep Learning Approach For Expression Based Songs Recommendation System (Shaik) -- System Sound Control Using Gesticulations (Uzair) -- Modified Holographic Ricci Dark Energy Cosmological Model in Modified theory of Gravity (Satyanarayana) -- Web Application for detecting churn prediction in Banking using ANN (Kharat) -- Providing Security Properties Of Cloud Service Using Rest Api’s (Laxmikanth) -- Study and Research on Autism Spectrum Disorder using Supervised Machine Learning Techniques (Nekkanti) -- Semi-Automated Vehicle Controlled Using Wi-Fi (Dhanush) -- Disease Identification System for Aura Images Using Fruit Fly Optimization (FAO) Technique (Poojary) -- Hybrid Movie Recommendation System Based on User Preferences and Item Similarity (Bugatha) -- Comparison of Artificial Intelligentsystems for real time accident prone applications (Rao) -- Hand Talk Assistance With Tensorflow Single Shot Detector (Priyanka) -- A New Text Representation Technique based Approach for Authorship Verification (Reddy) -- Early Recognition And Ranking Of Knee Osteoarthritis By The Assistance Of Enhanced Deep Learning On Knee MR Image Data (Molleti) -- Smart Blind Stick with Wrist band: Obstacle Detection and Warning System (Ramyadevi) -- Crop Recommendation System Using Machine Learning (Grandhi) -- Exploring Public Perception and Opinion Trends on Agnipath Scheme through Sentiment Analysis and Topic Modeling of Tweets (Shaik) -- A Feature Selection Technique based Approach for Author Profiling using Word Embedding Techniques (Kavuri) -- Pothole Detection Using IOT To Help People (Bada) -- Machine Learning enhanced Diabetes Identification System (Adimalla) -- Diabetes Identification System using Machine Learning (Sambana) -- Identification & Analysis of neural disorders based on hyperactivityand spectrum disorder with functional-MRI (Bala) -- Review Analysis Using Web Scraping in Python (Roy) -- A Novel Approach Of Deep Neural Network Performance Analysis For Predicting Chronic Kidney Disease (Ramakrishna) -- A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History (Bandi) -- Automating Curriculum Vitae Recommendation Processes through Machine Learning (Laxikanth) -- Application Controlling Using Hand Gestures Through Yolov5s (Chadram) -- Chili Leaves Disease Identification using Artificial Neural Network Algorithms (kantharaju). |
| Record Nr. | UNINA-9910865293703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law / / by Daria Kim
| Access to Non-Summary Clinical Trial Data for Research Purposes Under EU Law / / by Daria Kim |
| Autore | Kim Daria |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (310 pages) |
| Disciplina | 342.240662 |
| Collana | Munich Studies on Innovation and Competition |
| Soggetto topico |
Information technology - Law and legislation
Mass media - Law and legislation Medical laws and legislation Law - Europe Clinical medicine - Research Quantitative research IT Law, Media Law, Intellectual Property Medical Law European Law Clinical Research Data Analysis and Big Data |
| ISBN | 3-030-86778-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART ONE: Setting the Scene -- Introduction -- The Context and the Problem in Focus -- Secondary Analysis of Clinical Trial Data - A Primer -- PART TWO: Analysis de lege lata,- Legal Sources of Control over and Access to Clinical Trial Data under the EU Applicable Framework -- Implications of IPD Disclosure for Statutory Innovation Incentives PART THREE: Analysis de lege ferenda -- Defining the Intervention Logic of Access-To-Data Measures - A Problem Analysis -- Access to Clinical Trial Data as a Case on R&D Externalities - A Theoretical Framework -- IPD as a Research Resource - Exclusively Controlled or Readily Accessible? -- Evaluating Legislative Options -- Final Conclusions and the Outlook. |
| Record Nr. | UNINA-9910506380003321 |
Kim Daria
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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ACM/IMS transactions on data science
| ACM/IMS transactions on data science |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , [2020]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 006 |
| Soggetto topico |
Data mining - Statistical methods
Big data - Statistical methods Quantitative research Données volumineuses - Méthodes statistiques Recherche quantitative |
| Soggetto genere / forma | Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
TDS
Transactions on data science ACM transactions on data sciencec |
| Record Nr. | UNISA-996548964503316 |
| New York, NY : , : Association for Computing Machinery, , [2020]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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ACM/IMS transactions on data science
| ACM/IMS transactions on data science |
| Pubbl/distr/stampa | New York, NY : , : Association for Computing Machinery, , [2020]- |
| Descrizione fisica | 1 online resource |
| Disciplina | 006 |
| Soggetto topico |
Data mining - Statistical methods
Big data - Statistical methods Quantitative research Données volumineuses - Méthodes statistiques Recherche quantitative |
| Soggetto genere / forma | Periodicals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
TDS
Transactions on data science ACM transactions on data sciencec |
| Record Nr. | UNINA-9910412143603321 |
| New York, NY : , : Association for Computing Machinery, , [2020]- | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Actionable Science of Global Environment Change : From Big Data to Practical Research / / edited by Ziheng Sun
| Actionable Science of Global Environment Change : From Big Data to Practical Research / / edited by Ziheng Sun |
| Autore | Sun Ziheng |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (390 pages) |
| Disciplina | 551.6 |
| Soggetto topico |
Climatology
Quantitative research Sampling (Statistics) Climate Sciences Data Analysis and Big Data Methodology of Data Collection and Processing |
| ISBN | 3-031-41758-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: What is “Actionable” Science for Climate and Environment -- Chapter 2: Data Foundation for Actionable Science -- Chapter 3: Technology Landscape for Making Climate and Environmental Science “Actionable” -- Chapter 4: Actionable Science for Greenhouse Gas Emission Reduction -- Chapter 5: Actionable Science for Hurricanes -- Chapter 6: Actionable Science for Wildfire Response -- Chapter 7: Actionable Science for Sea Level Rising -- Chapter 8: Actionable Science for Irrigation -- Chapter 9: Actionable Science for Snow Monitoring and Response -- Chapter 10: Towards more actionable vulnerability indices for Global Environmental Change -- Chapter 11: Actionable Science in Environmental Health -- Chapter 12: Actionable AI for Climate and Environment -- Chapter 13: Actionable Environmental Science through Social Media Platforms -- Chapter 14: Ethics and Accountability of Science in Action. |
| Record Nr. | UNINA-9910760265803321 |
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Sun Ziheng
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Adaptive Intelligence : Select Proceedings of InCITe 2024, Volume 1 / / edited by Nitasha Hasteer, Seán McLoone, Purushottam Sharma, Ranjana Nallamalli
| Adaptive Intelligence : Select Proceedings of InCITe 2024, Volume 1 / / edited by Nitasha Hasteer, Seán McLoone, Purushottam Sharma, Ranjana Nallamalli |
| Autore | Hasteer Nitasha |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (710 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
McLooneSeán
SharmaPurushottam NallamalliRanjana |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Artificial intelligence Quantitative research Computational Intelligence Artificial Intelligence Data Analysis and Big Data |
| ISBN |
9789819790456
981979045X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computational Intelligence: Theoretical Foundation -- Computational Intelligence & Knowledge Discovery -- Computational Intelligence & Data Science -- Computational Intelligence for Information Security -- Computational Intelligence & IoT enabling Architectures -- Computational Intelligence & its applications -- Computational Paradigms. |
| Record Nr. | UNINA-9910984686803321 |
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Hasteer Nitasha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Analytics in Power BI with R and Python : Ingesting, Transforming, Visualizing / / by Ryan Wade
| Advanced Analytics in Power BI with R and Python : Ingesting, Transforming, Visualizing / / by Ryan Wade |
| Autore | Wade Ryan |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 |
| Descrizione fisica | 1 online resource (XLVI, 391 p. 84 illus.) |
| Disciplina | 001.4226028566 |
| Soggetto topico |
Microsoft software
Microsoft .NET Framework Quantitative research Big data Microsoft Data Analysis and Big Data Big Data |
| ISBN | 1-4842-5829-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. Creating Custom Data Visualizations using R -- 1. The Grammar of Graphics -- 2. Creating R custom visuals in Power BI using ggplot2 -- Part II. Ingesting Data into the Power BI Data Model using R and Python -- 3. Reading CSV Files -- 4. Reading Excel Files -- 5. Reading SQL Server Data -- 6. Reading Data into the Power BI Data Model via an API -- Part III. Transforming Data using R and Python.-7. Advanced String Manipulation and Pattern Matching -- 8. Calculated Columns using R and Python -- Part IV. Machine Learning & AI in Power BI using R and Python -- 9. Applying Machine Learning and AI to your Power BI Data Models -- 10. Productionizing Data Science Models and Data Wrangling Scripts. . |
| Record Nr. | UNINA-9910427050203321 |
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Wade Ryan
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2023 / / edited by Rabindra Nath Shaw, Sanjoy Das, Marcin Paprzycki, Ankush Ghosh, Monica Bianchini
| Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2023 / / edited by Rabindra Nath Shaw, Sanjoy Das, Marcin Paprzycki, Ankush Ghosh, Monica Bianchini |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (649 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Telecommunication Quantitative research Computational Intelligence Artificial Intelligence Communications Engineering, Networks Data Analysis and Big Data |
| ISBN | 981-9719-61-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Development of CNN-Based Feature Extraction and Multi-layer Perceptron for Eye Disease Detection -- 1 Introduction -- 2 Existing Works -- 2.1 Related Works -- 2.2 Research Gaps and Challenges -- 3 Methodology of Multiple Eye Disease Detection Technique -- 3.1 Proposed Detection System for Multiple Eye Disorder -- 3.2 Details of Eye Image Collection -- 4 Feature Extraction and Multi-layer Perceptron Model for Multiple Eye Disease Detection -- 4.1 CNN-Based Feature Extraction -- 4.2 Multi-layer Perceptron for Classification -- 5 Result and Discussions -- 6 Conclusion -- References -- Optimal Relay Node Selection Using Machine Learning to Extend Coverage in Disaster Area Network -- 1 Introduction -- 2 Related Work -- 3 System Model -- 3.1 Network Architecture -- 3.2 Optimal Relay Node Selection Using Machine Learning Algorithm -- 3.3 Network Performance of the Proposed Model -- 3.4 Outage Probability Analysis -- 4 Result -- 5 Conclusion -- References -- A Structured Literature Review and Meta-analysis of Forecasting Methods for Energy Consumption in Smart Buildings -- 1 Introduction -- 2 Methodology -- 3 Energy Consumption in Smart Buildings -- 3.1 Need of Energy Consumption Forecasting in Smart Buildings -- 3.2 Energy Forecasting Methods -- 4 Black-Box Methods -- 5 White-Box Methods -- 6 Grey-Box Methods -- 7 Input Parameters -- 8 Prediction Intervals -- 9 Measures of Performance Analysis -- 10 Results and Discussion -- 11 Future Challenges -- 12 Conclusion -- References -- Document Summarization Leveraging Modified LexRank Algorithm -- 1 Introduction -- 1.1 Related Work -- 1.2 Contributions -- 2 Methodology -- 3 Case Studies and Results -- 4 Conclusion -- References -- A Blockchain-Based Approach to Improve Data Integrity in Federated Cloud Environment -- 1 Introduction.
1.1 Federated Cloud Environments -- 1.2 Benefits of Cloud Federations -- 1.3 Data Integrity Challenges -- 1.4 Blockchain Overview -- 1.5 Blockchain Architecture -- 2 Literature Survey -- 2.1 Related Work -- 2.2 Comparative Study -- 3 Proposed Framework -- 3.1 Layer 1: Utilizing Permissioned Blockchain for Operation Tracking -- 3.2 Layer 2: Ensuring Integrity of Individual Data Items: -- 3.3 Elasticsearch -- 4 Strengths of the Proposed Framework -- 4.1 Enhanced Data Integrity -- 4.2 Efficient Consensus Mechanism -- 4.3 Mitigation of Side-Channel Attacks -- 4.4 Improved Leadership Selection -- 4.5 Robust Log Storage -- 4.6 Enhanced Security -- 4.7 Greater Transparency -- 4.8 Instant Traceability -- 5 Conclusion -- References -- Performance Analysis of Hybrid Cryptographic Algorithms in Serverless Platforms -- 1 Introduction -- 2 Background -- 2.1 Fernet Algorithm -- 2.2 RSA Algorithm -- 2.3 Triple DES Algorithm -- 3 Related Work -- 4 Proposed Hybrid Approach -- 4.1 Two-Tier Model -- 4.2 Three-Tier Model -- 5 Performance Analysis -- 5.1 Comparison with 3DES + RSA Model -- 6 Conclusion -- References -- Intensifying Cross Architecture Cyber-Resilience System with Descriptive Malware Analysis -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset -- 3.2 Concept Used -- 3.3 Proposed Method -- 4 Result -- 5 Conclusion -- 6 Future Scope -- References -- Challenges and Solutions in Integrating Narrowband IoT with Edge Computing: Resource Constraints, Security, Latency, and IDS Deployment -- 1 Introduction -- 1.1 Background -- 1.2 Objectives of the Study -- 1.3 Scope and Limitations -- 2 Literature Review -- 2.1 Previous Work on IoT and Edge Computing -- 2.2 Identified Areas Requiring Improvement -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Analysis Resource Constraints -- 4 Steps Used to Study the Dataset -- 5 Data Analysis. 5.1 Phase 1: Data Acquisition -- 5.2 Phase 2: Data Preprocessing -- 5.3 Phase 3: Exploratory Data Analysis (EDA) -- 5.4 Phase 4: Data Analysis -- 6 Conclusion -- 7 Areas for Further Research -- References -- An Automatic Brick Grading System Using Convolutional Neural Network: Bangladesh Perspective -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Splitting Data -- 3.4 Training -- 3.5 Evaluate Model -- 4 Experiment -- 4.1 Data Collection -- 4.2 Data Prepossessing -- 4.3 Libraries -- 4.4 Early Stopping -- 4.5 Convolutional Neural Network -- 4.6 Adam Optimizer -- 4.7 Hyperparameters -- 4.8 Training -- 4.9 Testing -- 5 Result and Discussion -- 5.1 Experimental Result -- 5.2 Evaluation Matrix -- 5.3 Training and Validation Loss -- 5.4 Training and Validation Accuracy -- 5.5 Confusion Matrix -- 5.6 Comparison -- 6 Conclusion -- 6.1 Limitations and Future Work -- References -- Optimization, Modelling and Evaluation of Marshall Stability of Asphaltic Concrete with Agricultural and Industrial Wastes Through Response Surface Method -- 1 Introduction -- 2 Materials and Methods -- 3 Results and Discussion -- 3.1 Evaluation of the Fitted Model Parameters -- 3.2 Interactive Effect of Significant Factors on Marshall Stability -- 4 Conclusion -- References -- A Query-Based Approach to Mitigate the Shortcomings of Widely Used Learning Methods Through E-Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Shortcomings of Existing Methods -- 2.2 E-Learning and the Evolution of Technology -- 2.3 The Art of Questioning in Learning -- 2.4 Questions as a Learning Tool -- 2.5 Query-Based Access to Neurons -- 3 Methodology -- 3.1 E-Learning Using QuBAN Method -- 4 Result and Discussion -- 4.1 Effectiveness Across Courses -- 4.2 Effect on Confidence and Motivation -- 4.3 Impact on Questioning Habits. 4.4 Student's Attitude Towards QuBAN -- 5 Conclusion -- References -- Navigating the Waters of Image Watermarking: A Neural Network-Centric Review -- 1 Introduction -- 1.1 Image Watermarking Using Neural Networks -- 1.2 Types of Neural Networks Used in State-of-the-Art Image Watermarking Techniques -- 1.3 Performance Metrics for Different Watermarking Techniques -- 2 Literature Review -- 3 Future Scope -- 4 Conclusion -- References -- Evaluation of Group Chats Using Exploratory Data Analysis -- 1 Introduction -- 2 Literature Work -- 3 Working Methodology -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 3.3 Data Preparation and Cleaning -- 3.4 Analysis and Interpretation of Results -- 3.5 Data Visualization -- 4 Result and Discussion -- 5 Conclusion -- References -- FinTech Revolution in Bharat -- 1 Introduction -- 2 Evolution of FinTech -- 2.1 Pre-digitization Period -- 2.2 Digitization Period -- 2.3 Post-digitization Period -- 3 The India Stack -- 3.1 Identity Layer -- 3.2 Payments Layer -- 3.3 Data Layer -- 4 Financial Inclusion and Solutions -- 4.1 Development and Financial Inclusion -- 4.2 FinTech Solutions -- 5 FinTech Adoption and Investments -- 5.1 Trends Driving FinTech Adoption -- 5.2 FinTech Investments -- 6 Challenges in FinTech -- 6.1 Lack of Trust and Awareness -- 6.2 Formal Credit -- 6.3 Rigorous Regulatory System -- 6.4 Skill-Based Talent Acquisition -- 6.5 Cybersecurity -- 6.6 Global Economics and Recession -- 7 Conclusion -- References -- A Review of 3D Avatar Reconstruction for Virtual Conferencing -- 1 Introduction -- 2 Problem Background -- 3 3D Reconstruction -- 4 3D Avatar -- 4.1 Classification of 3D Avatars -- 4.2 Application of 3D Avatar in Virtual Conference -- 5 3D Avatar Reconstruction -- 5.1 Traditional Reconstruction Pipeline -- 5.2 Reconstruction Based on Deep Learning -- 6 Conclusion -- References. Real-Time Food Simulation Using Real Hand Gesture for Malaysia Cultural Heritage -- 1 Introduction -- 2 Designing Hand Gestures -- 3 Proposed VR Pulut Panggang -- 3.1 Test Application -- 4 Conclusion -- References -- Feature Selection Using Chi-Squared Feature-Class Association Model for Fake Profile Detection in Online Social Networks -- 1 Introduction -- 2 Related Works -- 3 Feature Extraction -- 4 Proposed Chi-Squared Feature-Class Association Model -- 5 Result and Analysis -- 5.1 Dataset and Description -- 5.2 Evaluation Metrics -- 6 Results -- 7 Conclusion -- References -- Classification and Identification of Weeds Using Gradient Boosting Classifiers -- 1 Introduction -- 2 Related Work -- 3 Convolutional Neural Network -- 3.1 Convolutional Layers -- 3.2 Pooling Layers -- 3.3 Global Average Pooling Layer -- 3.4 Fully Connected Layers -- 4 Boosting Algorithms -- 4.1 Gbm -- 4.2 Lgbm -- 4.3 CatBoost -- 4.4 AdaBoost -- 4.5 XGBoost -- 5 Dataset -- 6 Methodology -- 7 Experimental Results -- 7.1 Assessment Metrics -- 8 Results and Discussion -- 8.1 Comparison with Other Studies -- 8.2 Limitations and Complexity of Proposed Model -- 9 Conclusion -- References -- Enhancing Accuracy and Efficiency in Diabetic Retinopathy Detection: A Deep Learning Framework for Fundus Image Analysis -- 1 Introduction -- 2 Methodology of the Proposed System -- 3 Various Machine Learning Algorithm -- 4 Result and Discussion -- 5 Conclusion -- References -- Enhancing Brain MRI Tumor Detection: Exploring Vision Transformers and Fine-Tuned Convolutional Neural Network Architecture for Improved Performance -- 1 Introduction -- 1.1 Convolution Neural Networks -- 1.2 Vision Transformers -- 2 Dataset Analysis -- 3 Methodology -- 3.1 Convolution Neural Networks -- 3.2 Proposed Model (Vision Transformers) -- 4 Experimental Results -- 5 Conclusion -- References. Bitcoin Price Prediction Using Sentiment Analysis. |
| Record Nr. | UNINA-9910865284603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2021 / / edited by Monica Bianchini, Vincenzo Piuri, Sanjoy Das, Rabindra Nath Shaw
| Advanced Computing and Intelligent Technologies : Proceedings of ICACIT 2021 / / edited by Monica Bianchini, Vincenzo Piuri, Sanjoy Das, Rabindra Nath Shaw |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (652 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Telecommunication Quantitative research Computational Intelligence Artificial Intelligence Communications Engineering, Networks Data Analysis and Big Data |
| ISBN |
981-16-2163-2
981-16-2164-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Recent Trends in Electromyography Signal Processing of Neuromuscular Diseases: An Outlook -- Chapter 2. Conceptualization, Visualization and Modeling of Ontologies for Elementary Kinematics -- Chapter 3. A Deep Neural approach towards Staining and Tinting of Monochrome Images -- Chapter 4. Evaluation of IoT based Automatic Headlight Dimmer Systems -- Chapter 5. Enhanced Energy Efficient Fuzzy Logic Clustering and Network Coding Strategy for Wireless Sensor Networks (EEE-FL-NC) -- Chapter 6. Malware Classification using Automated Transmutation and CNN -- Chapter 7. Content-Based Image Retrieval using Energy Based Frequency Domain Features -- Chapter 8. Decision Tree Based Event Detection Framework for UWSN Routing to Optimize Energy Consumption During Transmission -- Chapter 9. Recognizing Child Unsafe Apps through User Reviews on the Google Play store -- Chapter 10. Brain Tumor Classification Using Deep Learning and Big Data Analytics -- Chapter 11. Drone Stability Simulation Using Ros And Gazebo -- Chapter 12. Knowledge Management framework for the supervision of IT postgraduate research in Sri Lanka -- Chapter 13. RFM-based Customer Analysis and Product Recommendation System -- Chapter 14. Efficient Hardware Trojan Detection using Generic Feature Extraction and Weighted Ensemble Method -- Chapter 15. An Approach for Offline Handwritten Character Shape Reconstruction Using Active Contour and Morphological Techniques. |
| Record Nr. | UNINA-9910743265603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
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Quantitative research
(632)
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