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Access control models and architectures for IoT and cyber physical systems / / Maanak Gupta [and three others]
| Access control models and architectures for IoT and cyber physical systems / / Maanak Gupta [and three others] |
| Autore | Gupta Maanak <1989-> |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (182 pages) |
| Disciplina | 004.678 |
| Soggetto topico |
Cooperating objects (Computer systems)
Internet of things Computer architecture Internet de les coses Arquitectura d'ordinadors |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-81089-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910544849803321 |
Gupta Maanak <1989->
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Access control models and architectures for IoT and cyber physical systems / / Maanak Gupta [and three others]
| Access control models and architectures for IoT and cyber physical systems / / Maanak Gupta [and three others] |
| Autore | Gupta Maanak <1989-> |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (182 pages) |
| Disciplina | 004.678 |
| Soggetto topico |
Cooperating objects (Computer systems)
Internet of things Computer architecture Internet de les coses Arquitectura d'ordinadors |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-81089-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464544703316 |
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Gupta Maanak <1989->
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing / / edited by Sujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang
| Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing / / edited by Sujata Dash, Subhendu Kumar Pani, Ajith Abraham, Yulan Liang |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (443 pages) |
| Disciplina | 006.3 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Cooperating objects (Computer systems) Big data Computational Intelligence Data Engineering Cyber-Physical Systems Big Data Informàtica tova Internet de les coses Computació en núvol |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-75657-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Wearable Assistive Device for Safe Travel using Transfer Learning and IoT for Visually Impaired People -- Soft Computing Techniques for Physical Layer Security of IoT Devices -- Linear Congruence and Chaos based Encryption Key Generation for Medical Data Security in IoT based Health care System -- Content Based Video Retrieval - Methods, Techniques and Applications. |
| Record Nr. | UNINA-9910508483603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advancements in Interdisciplinary Research : First International Conference, AIR 2022, Prayagraj, India, May 6–7, 2022, Revised Selected Papers / / edited by Vijayan Sugumaran, Divya Upadhyay, Shanu Sharma
| Advancements in Interdisciplinary Research : First International Conference, AIR 2022, Prayagraj, India, May 6–7, 2022, Revised Selected Papers / / edited by Vijayan Sugumaran, Divya Upadhyay, Shanu Sharma |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (562 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Image processing - Digital techniques Computer vision Computer engineering Computer networks Social sciences - Data processing Application software Software engineering Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer Engineering and Networks Computer Application in Social and Behavioral Sciences Computer and Information Systems Applications Software Engineering Intel·ligència artificial Seguretat informàtica Internet de les coses |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031237249
3031237242 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Novel Technologies enabled Secured Privacy Models and Optimized Networking Infrastructures toward Secure Industries -- Developments towards Sustainable Healthcare Sector -- Machine Learning and Deep Learning Enabled Applications in Different Sectors -- Robotics and Computer Vision for Intelligent Automation in Industries -- Trending Technologies: Frameworks and Applications focusing Real Life Issues. |
| Record Nr. | UNINA-9910645893403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part I / / edited by Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser, Tuncer Ören, V. R. Sonawane
| Advances in Computing and Data Sciences : 5th International Conference, ICACDS 2021, Nashik, India, April 23–24, 2021, Revised Selected Papers, Part I / / edited by Mayank Singh, Vipin Tyagi, P. K. Gupta, Jan Flusser, Tuncer Ören, V. R. Sonawane |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (771 pages) |
| Disciplina | 004 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data structures (Computer science)
Information theory Machine learning Application software Social sciences - Data processing Education - Data processing Computer vision Data Structures and Information Theory Machine Learning Computer and Information Systems Applications Computer Application in Social and Behavioral Sciences Computers and Education Computer Vision Informàtica Intel·ligència artificial Internet de les coses |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-81462-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT -- Fund Utilization under Parliament Local Development Scheme: Machine Learning base Approach -- Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach -- Blockchain based Framework to Maintain Chain of Custody (CoC) in a Forensic Investigation. - A light SRGAN for Up-Scaling of Low Resolution and High Latency Images -- Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN -- Efficient Social Distancing Detection using Object Detection and Triangle Similarity -- Explaining a Black-Box Sentiment Analysis Model with Local Interpretable Model Diagnostics Explanation (LIME) -- Spelling Checking and Error Corrector System for Marathi Language Text using Minimum Edit Distance Algorithm -- A Study on Morphological Analyser for Indian Languages : A Literature Perspective -- Cyber Safety Against Social Media Abusing -- Predictive Rood Pattern Search for Efficient Video Compression -- An Effective Approach For Classifying Acute Lymbphoblastic Luekemia Using Hybrid Hierarchial Classifiers -- Abnormal Blood Vessels Segmentation for Proliferative Diabetic Retinopathy Screening Using Convolutional Neural Network. - Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate -- Live stream processing techniques to assist unmanned, regulated railway crossings -- Most Significant Bit-Plane based Local Ternary Pattern for Biomedical Image Retrieval -- Facial Monitoring Using Gradient Based Approach -- Overlapped Circular Convolution based feature extraction algorithm for classification of high dimensional datasets -- Binary Decision Tree Based Packet Queuing Schema for Next Generation Firewall -- Automatic Tabla Stroke Source Separation Using Machine Learning -- Classification of Immunity Booster Medicinal Plants using CNN: A Deep Learning Approach -- Machine Learning Model Interpretability in NLP and Computer Vision Applications -- Optimal Sizing and Siting of Multiple Dispersed Generation System using Metaheuristic Algorithm -- Design of a Fused Triple Convolutional Neural Network for Malware Detection: A Visual Classification Approach -- Mobile Agent Security using Lagrange Interpolation with Multilayer Perception Neural Network -- Performance Analysis of Channel coding techniques for 5G networks -- An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product -- A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers using Cloudsim Toolkit -- Predicting Insomnia Using Multilayer Stacked Ensemble Model. - A novel encryption scheme based on Fully Homomorphic Encryption and RR-AES along with privacy preservation for vehicular network -- Key-Based Decoding for Coded Modulation Schemes in the presence of ISI -- Optimizing the Performance of KNN Classifier for Human Activity Recognition -- Face Recognition with Disguise and makeupVariations Using Image Processing and Machine Learning -- Attention-based deep Fusion Network for Retinal Lesion Segmentation in Fundus Image -- Visibility improvement in hazy conditions via a deep learning based image fusion approach -- Performance of Reinforcement Learning Simulation: x86 v/s ARM -- A Performance Study of Probabilistic Possibilistic Fuzzy C-Means Clustering Algorithm -- Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease -- Machine Learning Based Techniques for Detection of Renal Calculi in Ultrasound Images -- Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning -- Biological Sequence Embedding based Classification for MERS and SARS -- Supply Path Optimization in Video Advertising Landscape -- Stack-based CNN Approach to Covid-19 Detection -- Performance Analysis of Various Classifiers for Social Intimidating Activities Detection -- Technique for Enhancing the efficiency and security of lightweight IoT devices -- Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification using Spectrogram -- Performance Analysis of Machine Learning Techniques in Device Free Localization in Indoor Environment -- D-Leach: An Energy Optimized Deterministic Sub-clustering and Multi-hop Routing Protocol for Wireless Sensor Networks -- Robust Image Watermarking Using Support Vector Machine and Multi-Objective Particle Swarm Optimization -- Generalized Intuitionistic Fuzzy Entropy on IFMARCOS Technique and its Application in Multi-Criteria Decision Making -- Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics -- Rainfall Prediction using Logistic Regression and Support Vector Regression Algorithms -- Collaborative Recommender System (CRS) using optimized SGD - ALS -- Violence Detection from CCTV Footage using Optical Flow and Deep Learning in inconsistent weather and lighting conditions -- Speech based Multiple Emotion Classification model using Deep Learning -- A Legal-Relationship Establishment in Smart Contracts: Ontological Semantics for Programming-Language Development -- Aspect Based Sentiment Analysis - An Incremental Model Learning Approach Using LSTM-RNN -- Cloud based Exon Prediction using Maximum Error Normalized Logarithmic Algorithms -- Unsupervised Learning of Visual Representations via Rotation and Future Frame Prediction for Video Retrieval -- Application of Deep Learning in Classification of Encrypted Images -- Ear Recognition Using Pretrained Convolutional Neural Networks -- An Adaptive Service Placement Framework in Fog Computing Environment -- Efficient Ink Mismatch Detection Using Supervised Approach. |
| Record Nr. | UNINA-9910506393103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceeding of the 16th International Conference on IIHMSP in conjunction with the 13th international conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 1 / / edited by Jeng-Shyang Pan, Jianpo Li, Oyun-Erdene Namsrai, Zhenyu Meng, Miloš Savić
| Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceeding of the 16th International Conference on IIHMSP in conjunction with the 13th international conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 1 / / edited by Jeng-Shyang Pan, Jianpo Li, Oyun-Erdene Namsrai, Zhenyu Meng, Miloš Savić |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (552 pages) |
| Disciplina | 006.3 |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Multimedia systems Medical informatics Computational Intelligence Artificial Intelligence Signal, Speech and Image Processing Multimedia Information Systems Health Informatics Tecnologia de la informació Intel·ligència computacional Intel·ligència artificial Mineria de dades Processament de senyals Bioinformàtica Internet de les coses |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-336-420-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling and Simulation for Battery Energy Storage System Participating in Power System Frequency Modulation Based on Power System Analysis Software Package -- Usability Evaluation of Luxury Brands Website Based on the Analytic Hierarchy Process -- Dynamic Token Distribution Model for Privacy Protection of Mobile Users -- Game Theoretic Decision-Making Analysis on Antivirus -- Design of Radio Frequency Energy Harvesting System -- A sensor fusion method for in-station articulation of train. |
| Record Nr. | UNINA-9910484434303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceeding of the 16th International Conference on IIHMSP in conjunction with the 13th international conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 2 / / edited by Jeng-Shyang Pan, Jianpo Li, Keun Ho Ryu, Zhenyu Meng, Aleksandra Klasnja-Milicevic
| Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceeding of the 16th International Conference on IIHMSP in conjunction with the 13th international conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 2 / / edited by Jeng-Shyang Pan, Jianpo Li, Keun Ho Ryu, Zhenyu Meng, Aleksandra Klasnja-Milicevic |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (546 pages) |
| Disciplina | 006.3 |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Multimedia systems Medical informatics Computational Intelligence Artificial Intelligence Signal, Speech and Image Processing Multimedia Information Systems Health Informatics Tecnologia de la informació Processament de senyals Mineria de dades Intel·ligència computacional Intel·ligència artificial Bioinformàtica Internet de les coses |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-336-757-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Conference Organization -- Preface -- Contents -- About the Editors -- Design of Wideband Microstrip Helical VHF/UHF Antenna for Naval Ships Application -- 1 Introduction -- 2 Methodology for the Design -- 2.1 Selection of Antenna Shape -- 2.2 Selection of Feeding Type -- 2.3 Selection of Dielectric Substrate -- 2.4 Selection of Software for Design and Simulation -- 3 Design Architecture -- 3.1 Design Dimensions -- 3.2 Application -- 4 Simulation Results/Analysis -- 5 Conclusion -- References -- Research on Control Strategy of Four-Leg Inverter Under Unbalanced and Nonlinear Load -- 1 Introduction -- 2 Mathematical Model of Three-Phase Four-Leg Inverter -- 3 Repeated Controller Design -- 4 Integrated Control Design -- 5 Simulation Verification and Analysis -- 6 Conclusion -- References -- A Comparative Study on Interaction Design of Social Function in Music Application -- 1 Introduction -- 2 Related Work -- 2.1 Mobile Music App -- 2.2 The State of Art of Social Function of Mobile Music App -- 2.3 User Experience and Usability Evaluation -- 3 Experiment Design -- 3.1 Method -- 4 Results -- 4.1 Analysis of the Testing Results -- 5 Conclusion -- References -- Reconstruction Error-Based Efficient Deep Neural Network for Diabetes Prediction in the Korean Population -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Proposed Method -- 2.3 Evaluation Methods -- 3 Experimental Study -- 4 Conclusion -- References -- Improved Cancer Classification with Supervised Variational Autoencoder on DNA Methylation Data -- 1 Introduction -- 2 Supervised Variational Autoencoder for Cancer Classification -- 2.1 Unsupervised Variational Autoencoder -- 2.2 Supervised Neural Network -- 3 Experimental Result -- 4 Conclusion -- References -- Cost-Sensitive Neural Network for Prediction of Hypertension Using Class Imbalance Dataset -- 1 Introduction.
2 Experimental Framework -- 2.1 Weighted Random Forest-Based Feature Selection -- 3 Cost-Sensitive Neural Network -- 3.1 Performance Measurements -- 4 Experimental Results -- 4.1 Dataset Generation and Weighted Random Forest Feature Importance -- 4.2 Evaluation Results -- 5 Conclusion and Future Work -- References -- Bayesian Meta Regression -- 1 Introduction -- 2 Related Work -- 3 Bayesian Meta Regression -- 3.1 Training BMR -- 4 Experimental Results -- 4.1 Predictive Performance -- 4.2 Model Uncertainty -- 5 Conclusion -- References -- Chromatographic Peaks of Dissolved Gases in Transformer Oil Identification by Random Forest -- 1 Introduction -- 2 Preliminaries -- 2.1 Random Forest Algorithm -- 2.2 Chromatography of Dissolved Gas -- 3 Process of Chromatographic Peaks Identification -- 3.1 Data Preprocessing -- 3.2 Classifier Design -- 4 Illustrative Example -- 5 Conclusions -- References -- Detection of Point Outliers in Meteorological Data (Case Study: Ulaanbaatar, Mongolia) -- 1 Introduction -- 1.1 Meteorological Data -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- Short-Term Power Prediction for Photovoltaic Power Generation Based on IKPCA and PSO-BPNN -- 1 Introduction -- 2 Algorithm Principle -- 2.1 Kernel Principal Component Analysis -- 2.2 Particle Swarm Optimization -- 2.3 BP Neural Network -- 3 Feature Processing -- 4 Prediction Model -- 5 Example Analysis -- 5.1 Forecast Examples -- 5.2 Error Analysis -- 6 Conclusion -- References -- Research on Principal Component Feature Extraction Method Based on Improved Pearson Correlation Coefficient Analysis -- 1 Introduction -- 2 Correlation Analysis of Influencing Factors -- 2.1 Pearson Correlation Coefficient Principle -- 2.2 Improved Pearson Correlation Coefficient -- 3 Principal Component Analysis -- 4 Experiment Analysis. 4.1 Correlation Analysis of the Improved Pearson Correlation Coefficient -- 4.2 Feature Extraction Based on Principal Component Analysis -- 5 Conclusion -- References -- The Adaptive Compression System for Historical Data of Power Load -- 1 Introduction -- 2 Adaptive Compression Algorithm -- 3 Abnormal Data Correction -- 4 Adaptive Compression System -- 5 Experimental Analysis -- 6 Conclusion -- References -- Mongolian Spelling Error Correction Using Word NGram Method -- 1 Introduction -- 2 Proposed Method -- 3 How the Program Works -- 4 Experiments -- 5 Conclusion -- References -- Forecasting of the COVID-19 Spreading in Global Using the Exponential Smoothing Method -- 1 Introduction -- 2 Methodology -- 3 Datasets -- 4 Results and Analysis -- 5 Conclusions -- References -- Mongolian Part-of-Speech Tagging with Neural Networks -- 1 Introduction -- 2 Tagset Design -- 3 Method -- 3.1 Dataset -- 3.2 Feature Selection -- 3.3 Neural Model Architecture -- 4 Result -- 5 Conclusion -- References -- A Comparative Study of NoSQL and Relational Database -- 1 Database Solutions -- 2 Relational Database -- 2.1 The Cap Theorem -- 2.2 The ACID Properties -- 2.3 The BASE Properties -- 3 NoSQL Darabase Requirements -- 3.1 From Vertical Expansion to Horizontal Expansion -- 3.2 Classification of NoSql Databases -- 4 Comparision Between Related Databases (RDBMS) and NoSQL Databases -- 4.1 Comparision of MongoDB and MySQL Full-Text Research -- 5 Conclusion -- References -- Methodology in Securities Portfolio Selection from the Stock Exchange Listed Companies -- 1 Introduction -- 2 Material and Methods -- 2.1 Literature Review -- 2.2 Research Methodology -- 3 Results -- 4 Conclusion -- References -- Predicting Grade of General Entrance Exam Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 2.1 Important Factors for Prediction Student's Performance. 2.2 Machine Learning Methods -- 3 Data and Methodology -- 3.1 Data Collection -- 3.2 Methodology -- 4 Analysis and Result -- 4.1 Results in Feature Selection Experiments -- 4.2 Experiments -- 5 Conclusion -- References -- Predicting the Occurrence of Major Adverse Cardiac Events in Patients with Acute Coronary Syndrome Using Synthetic Minority Oversampling Technique and Machine Learning Approach -- 1 Introduction -- 2 Research Methods and Material -- 2.1 Experimental Framework -- 2.2 Data Extraction and Data Preprocessing -- 2.3 Dealing with Imbalanced Dataset -- 2.4 Statistical Analysis and Implementation Environments -- 2.5 Applied Machine Learning Algorithms -- 2.6 Performance Evaluation -- 3 Experimental Results and Discussion -- 3.1 Basic Characteristics -- 3.2 Experimental Results -- 3.3 Discussion -- 4 Conclusion -- References -- Process Analysis of the Online Course Development -- 1 Introduction -- 2 Research Methodology -- 3 Process Definition -- 4 Process Analysis -- 5 Conclusion -- References -- Comparison of Classification Analysis Using LASSO and Principal Component Analysis for Kidney Cancer -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 3 Experimental Results -- 3.1 Feature Selection by LASSO and PCA -- 3.2 Classification Analysis Using Data Mining Method -- 4 Conclusions -- References -- A New Optimization Based on Parallelizing Hybrid PSOGSA Algorithm -- 1 Introduction -- 2 Three Standard Algorithms -- 3 Parallel PSOGSA -- 4 Experimental Data -- 5 Conclusion -- References -- Research on Natural Gas Customer Evaluation Model and System -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Status -- 3.2 Theory and Method -- 4 Computer Support System for Customer Evaluation (CSSCE) -- 4.1 System Design -- 4.2 Data Description -- 4.3 Analysis Results of CSSCE -- References. Chromatographic Peak Identification Based on Bayesian Classification Model -- 1 Introduction -- 2 Chromatographic Data Processing -- 2.1 Characteristic Parameters Selection -- 2.2 Identification Model Construction -- 3 Training of Identification Model -- 4 Example Test Result and Analysis -- 5 Conclusion -- References -- Analysis and Diagnosis of Generator Step-Up Transformer Faults -- 1 Introduction -- 2 Case 1: A 220 kV Substation I# Generator Step-Up Transformer -- 2.1 Diagnosis and Results -- 2.2 Failures Analysis -- 3 Case 2: No. 2 Generator Step-Up Transformer of a 110 kV Substation -- 3.1 Disassembly Analysis -- 3.2 Failures Judgment -- 4 Conclusions and Suggestions -- References -- Design of Architecture for Carpooling Based on Flexible Pickup and Delivery Locations -- 1 Introduction -- 2 Conceptual Framework -- 3 System Architecture -- 3.1 Web Application Firewall (WAF) -- 3.2 Load Balancer (LB) -- 3.3 Data Transformation -- 3.4 AI and Data Science Processing Modules Using Hadoop Ecosystem -- 3.5 Data Warehousing, ETL (Extract, Transform, Load) and Reporting -- 3.6 Datacenter -- 4 Conclusion and Future Research -- References -- Enhanced Conditional Handover for 5G Heterogeneous Networks -- 1 Introduction -- 2 CHO Procedure and Its Problems -- 3 An Enhancement for CHO -- 4 Simulation Results -- 4.1 Ping-Pong Handovers -- 4.2 Signaling Cost -- 5 Conclusion and Future Works -- References -- Evaluation of Panoramic Image Projection for "Ulaanbaatar GigaPixel Panaroma" -- 1 Introduction -- 2 Related Work -- 2.1 Studying 360 Image Projection Formats Geometry -- 2.2 Mapping from 2D to 3D -- 3 Proposed Evaluation Framework -- 3.1 Visualizing Gigapixel Image Using Proposed Projection Method -- 3.2 Comparison of Viewport Images -- 3.3 Evaluate with Viewport Application -- 4 Results -- 4.1 Experimental Setup -- 4.2 Result -- 5 Conclusion -- References. Distant Metastases in Patients with Primary Uveal Melanoma. |
| Record Nr. | UNINA-9910484358703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Technology Transfer Through IoT and IT Solutions / / edited by Azman Ismail, Fatin Nur Zulkipli, Zalizah Awang Long, Andreas Öchsner
| Advances in Technology Transfer Through IoT and IT Solutions / / edited by Azman Ismail, Fatin Nur Zulkipli, Zalizah Awang Long, Andreas Öchsner |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (127 pages) |
| Disciplina | 004 |
| Collana | SpringerBriefs in Applied Sciences and Technology |
| Soggetto topico |
Internet of things
Machine learning Expert systems (Computer science) Transportation engineering Traffic engineering Internet of Things Machine Learning Knowledge Based Systems Transportation Technology and Traffic Engineering Internet de les coses Tecnologia de la informació Transferència de tecnologia |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031251788
3031251784 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Review: Current Trend in Artificial Intelligence on Healthcare -- The Predictive Learning Analytics for Student Dropout Using Data Mining Technique: A Systematic Literature Review -- Color-Based Plastic Bottle Cap Sorter Using ESP8266 -- Cybersecurity for Online Safety Enhancement: Female Participation -- An Android Web Server-Based Real-Time Feeder Bus Tracking System -- Smart Parcel Box: Sanitizer & Security -- Development of Smart Trash Can/Dustbin using Internet-of-Things (IoT) -- Port Kelang Development Moving Towards Adopting Industrial Revolution 4.0 In Seaport System: A Review -- Investigating the Performance of Optimizing the Convolutional Neural Network in Detecting Malware Attack -- Proposed Design Principles of Malay Sign Language (MSL) Mobile Application For Hearing-Impaired Alpha Generation Based on Nielsen and Molich’s Design Guidelines: Validation Through Prototyping Method -- Exploring IOT Security in IOT Devices -- Crosstalk Analysis for Different Types of PCB VIAS Model atHigh Frequency Transmission -- The Supply Chain Resilience of the Commercial Vehicle Business during the Implementation of the National Recovery Plan. |
| Record Nr. | UNINA-9910686781003321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Agricultural Internet of things : technologies and applications / / editors, Yong He [and three others]
| Agricultural Internet of things : technologies and applications / / editors, Yong He [and three others] |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 439 p. 184 illus., 133 illus. in color.) |
| Disciplina | 635 |
| Collana | Agriculture automation and control |
| Soggetto topico |
Agriculture - Automation
Agricultura de precisió Internet de les coses |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-65702-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1.Introduction of Agricultural IoT -- 2.Agricultural IoT Standardization and System Applications -- 3.Data Communication and Networking Technologies -- 4.Soil Information Sensing Technology -- 5.Crop Information Sensing Technology -- 6.Field Condition Sensing Technology -- 7.Livestock and Aquaculture Information Sensing Technology -- 8.Agricultural Information Processing Technology -- 9.Agricultural Decision-Making Methods and Systems -- 10.IoT Management of Field Crops and Orchards -- 11.Plant Factory IoT Management -- 12.Livestock and Aquaculture IoT Systems -- 13.Agricultural Products Traceability System Applications -- 14.Integrated IoT Applications Platform Based on Cloud Technology and Big Data. |
| Record Nr. | UNINA-9910495204903321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Agriculture-Centric Computation : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers / / edited by Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh
| Agriculture-Centric Computation : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers / / edited by Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh |
| Autore | Saini Mukesh Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (265 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
GoyalaNīraja
ShekhawatHanumant Singh Lloret MauriJaime SinghDhananjay |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer networks Machine learning Data mining Image processing - Digital techniques Computer vision Artificial Intelligence Computer Communication Networks Machine Learning Data Mining and Knowledge Discovery Computer Imaging, Vision, Pattern Recognition and Graphics Agricultura Intel·ligència artificial Internet de les coses Teledetecció Aprenentatge automàtic Xarxes d'ordinadors |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031436055
3031436059 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Fine Tuned Single Shot Detector for Finding Disease Patches in Leaves -- Empirical Analysis and Evaluation of Factors Influencing Adoption of AI-based Automation Solutions for Sustainable Agriculture -- FusedNet Model for Varietal Classification of Rice Seeds -- Fertilizer Recommendation using Ensemble Filter-based Feature Selection Approach -- Privacy-Preserving Pest Detection Using Personalized Federated Learning -- A review on applications of artificial intelligence for identifying soil nutrients -- IRPD: In-Field Radish Plant Dataset -- Fast Rotated Bounding Box Annotations for Object Detection -- IndianPotatoWeeds: An Image Dataset of Potato Crop to Address Weed Issues in Precision Agriculture -- Estimation Of Leaf Parameters in Punjab Region Through Multi-Spectral Drone Images using Deep Learning Models -- Application of near-infrared (NIR) hyperspectral imaging system for protein content prediction in chickpea flour -- Classification of crops based on band quality and redundancy from hyperspectral image -- Automated Agriculture News Collection, Analysis, and Recommendation -- Intelligent Chatbot Assistant in Agriculture Domain -- Machine Learning Methods for Crop Yield Prediction -- Real-time Plant Disease Detection: A Comparative Study -- Fruit Segregation using Deep Learning -- Investigation of the bulk and electronic properties of boron/nitrogen/indium doped armchair graphene nanoribbon for sensing plant VOC: A DFT study. |
| Record Nr. | UNINA-9910746964203321 |
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Saini Mukesh Kumar
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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