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Advanced techniques for IoT applications : proceedings of EAIT 2020 ; Kalyani, India, November 2020 / / editors, Jyotsna Kumar Mandal, Debashis De
| Advanced techniques for IoT applications : proceedings of EAIT 2020 ; Kalyani, India, November 2020 / / editors, Jyotsna Kumar Mandal, Debashis De |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (626 pages) : illustrations (some color) |
| Disciplina | 004 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Internet of things
Electronic data processing |
| ISBN |
981-16-4435-7
981-16-4434-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743265503321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Applications of networks, sensors and autonomous systems analytics : proceedings of ICANSAA 2020 / / edited by Jyotsna Kumar Mandal [and three others]
| Applications of networks, sensors and autonomous systems analytics : proceedings of ICANSAA 2020 / / edited by Jyotsna Kumar Mandal [and three others] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (363 pages) |
| Disciplina | 621.39 |
| Collana | Studies in Autonomic, Data-Driven and Industrial Computing |
| Soggetto topico |
Microelectromechanical systems
Sensor networks |
| ISBN |
981-16-7304-7
981-16-7305-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- 1 Application of IoT in Industries: A Survey of Security Concern -- 1 Introduction -- 1.1 Background -- 1.2 Architecture of IoT -- 2 Security Threats in IoT -- 2.1 Security Threats in Sensing Layer -- 2.2 Security Threats in Network Layer -- 2.3 Security Threats in Service Layer -- 2.4 Security Threats in Interface Layer -- 3 Conclusion -- References -- 2 A Survey on Autonomous Vehicles in the Field of Intelligent Transport System -- 1 Introduction -- 2 Domains of Interaction between Autonomous Vehicles and Humans -- 3 Analysis of Using Electronic Gadgets by Pedestrians and Drivers on Roads -- 4 Approaches for Collision Prevention in Autonomous Vehicle Technology Used in Intelligent Transports System -- 5 Context-Based Pedestrian Path Prediction -- 6 Hand, Eye, and Head Patterns at Intersections -- 7 Conclusion -- References -- 3 Decentralized Voting: A Blockchain-Based Voting System -- 1 Introduction -- 1.1 Decentralized Computing Systems -- 1.2 Blockchain -- 1.3 Ethereum -- 1.4 Smart Contacts -- 1.5 Digital Identity Management Using Blockchain-An Approach Towards Self Sovereign Identity -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Flow of User Registration in Decentralized Voting App -- 3.2 Flow of Admin/Electoral Admin in Decentralized Voting App -- 3.3 Candidate Voting in Decentralized Voting App -- 4 Result Analysis -- 5 Conclusions -- 6 Related Works -- References -- 4 Asymptotic Behaviour for First-Order Difference Equations I -- 1 Introduction -- 2 Sufficient Conditions for Oscillation -- References -- 5 Development of a Framework for Smart Energy Meter Reader Using Image Processing -- 1 Introduction -- 2 Literature Survey -- 3 Architectural Framework -- 4 Description -- 4.1 The Algorithm in the Digit Recognition System -- 5 Implementation and Output -- 6 Conclusion.
References -- 6 Real-Time Air Quality Monitoring System Based on IoT -- 1 Introduction -- 2 Methodology -- 2.1 Hardware Components -- 2.2 Workflow Diagram -- 3 Working Principle -- 4 Result and Discussion -- 5 Conclusion -- 6 Future Scope -- References -- 7 A Comparative Analysis of Sensor-Based Pipe Crack Detection System -- 1 Introduction -- 2 Sensor-Based Methods of Crack Detection -- 3 Comparative Discussion of Various Crack Detection Methods -- 4 Conclusion -- References -- 8 A Two Layer Dynamic Load Balancing Algorithm Applied in Cloud Computing -- 1 Introduction -- 1.1 Cloud Computing -- 1.2 Load Balancing -- 2 Proposed Model -- 3 Result Analysis and Discussion -- References -- 9 Brief Study on the Usage of Smart Meter and Artificial Intelligence in Energy Savings -- 1 Introduction -- 2 Methodology -- 3 Result -- 4 Theoretical Deductions and Discussion -- 5 Conclusion -- References -- 10 Application of Blockchain in Healthcare Especially to Fight Against COVID-19-A Survey -- 1 Introduction -- 1.1 What is COVID-19? -- 1.2 Mechanism of Fast Affecting Peoples all Over the World -- 1.3 What is Blockchain Technology? [3] -- 2 What are the Involvements of Blockchain Technology in Healthcare [4] -- 2.1 Management of Medical Information -- 2.2 Evolution in the Medicine-Industry -- 2.3 Medical Tribunals -- 2.4 Safety of Information -- 2.5 Main Challenges of the Pandemic -- 3 Influence of Blockchain Technology in Stopping the COVID-19 [8-10] -- 3.1 Tracing in Spreading of Communicable Illnesses -- 3.2 Contributions Tracing -- 3.3 Crisis Management -- 3.4 Securing Medical Supply Chains -- 3.5 Sharing of Data -- 4 Blockchain Technology Adopted by the World Health Organization and Other Popular Companies to Compete with this Pandemic [1] -- 5 Conclusion -- References -- 11 A Novel Approach to Microgrid Fault Detection Using Empirical Mode Decomposition. 1 Introduction -- 1.1 Background -- 1.2 Microgrid System -- 1.3 Power System Faults -- 2 Literature Survey -- 3 Architecture of the Proposed Fault Diagnosis Approach -- 3.1 Process -- 4 Results -- 5 Conclusion -- References -- 12 Approximate computing: Error Tolerant Adder -- 1 Introduction -- 2 Brief Overview on Error Tolerant -- 3 Block Diagram -- 4 Functional Operation -- 5 Mathematical Deduction -- 6 Calculation of Accurate Section -- 7 Calculation of Inaccurate Section -- 8 Traditional Computing -- 9 Comparison and Selection -- 10 Advantages of Approximate Computing -- 11 Conclusion -- References -- 13 A Low-Latency Scheme Using Real-Time Constraints for V2V Communication in VANET -- 1 Introduction -- 2 Literature Survey -- 3 Present Work -- 3.1 Message Format -- 3.2 Generator Function -- 3.3 Checking Function -- 3.4 Message Interpreter -- 4 Conclusion -- References -- 14 Loopbeat-A Novel Technical Approach to Enhance the Home Automation Ability of a NodeMCU Using Demultiplexer ICs and 555 Timer ICs with Cloud-Based Remote Access -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Cloud Implementation -- 3.2 Software Implementation -- 3.3 Hardware Implementation -- 4 Results and Discussions -- 5 Conclusions -- References -- 15 Prediction of Stock Price Using Machine Learning -- 1 Introduction -- 2 Related Works -- 2.1 Background Study -- 2.2 Brief Description of Used Algorithm -- 3 Literature Review -- 4 Process Involved -- 5 Result Analysis -- 5.1 Visualizing Data -- 5.2 Forecasting Result by Each algorithm -- 5.3 Obtained Accuracy by Each Algorithm -- 6 Conclusions -- 7 Future Scope -- References -- 16 Encryption and Error Control in Satellite Images Using Linear Block Code -- 1 Introduction -- 2 Methodology -- 3 Result -- 4 Conclusion -- References -- 17 A Fundamental Review on Hyperspectral Segmentation Algorithms. 1 Introduction -- 2 Remote Sensing in Digital Image Processing -- 3 Segmentation in Hyperspectral Images -- 4 Conclusion -- References -- 18 A Decision Support System for Big Data Analytics Integrated Internet of Things-Based Condition Monitoring System of Transformers Fleet -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Reduction -- 2.2 Weight Assessment of Attributes -- 2.3 Score Aggregation and Ranking of Attributes -- 2.4 Centrality Estimators -- 2.5 Data Pre-Processing -- 3 Proposed Framework -- 3.1 IoT-BDA-Based CMS Architecture -- 3.2 MCDM Aggregation Engine -- 4 Implementation and Results -- 4.1 Data Pre-Processing -- 4.2 Data Reduction -- 4.3 Weight Assessment -- 4.4 Aggregation of Scores -- 4.5 Fusion of Scores and Ranking -- 5 Conclusion -- References -- 19 A Machine Learning Approach to Predict Disease for Accurate Diagnosis -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Feature Engineering and Data Visualisation -- 3.3 k-NN Used for Classification -- 4 Result and Discussion -- 5 Conclusion -- References -- 20 Rotogravure Printing Band Analysis with the Help of Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Methodology and Implementation -- 4 Result and Discussions -- 5 Conclusions -- References -- 21 Remote Health Support for a Person with Probable High Risk of COVID-19 Under Machine Learning Framework -- 1 Introduction -- 2 Proposed Model -- 3 Result Analysis and Discussion -- 4 Conclusion -- References -- 22 Credit Card Fraud Detection Using Soft Computing -- 1 Materials and Methods -- 2 Experiment -- 3 Results and Analysis -- 4 Conclusion -- References -- 23 Deep Learning-Based Approach Using Word and Character Embedding for Named Entity Recognition from Hindi-English Tweets -- 1 Introduction -- 2 Background and Related Work -- 3 Proposed Approach. 3.1 Training Phase -- 3.2 Testing Phase -- 4 Dataset and Experimental Results -- 5 Result Analysis and Comparison -- 6 Conclusion -- References -- 24 A Survey on COVID-19 Case Analysis Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Comparative Analysis -- 4 Analysis on COVID-19 Patient -- 5 Conclusion -- References -- 25 An Intelligent Approach for Detecting COVID-19 Probability -- 1 Introduction -- 2 Background Study -- 3 Methodology -- 4 Result and Analysis -- 5 Conclusion -- References -- 26 Fuzzy Model for Evaluating Water Quality of Ganga During Durga Puja -- 1 Introduction -- 2 Study Area -- 3 Methodology -- 4 Results and Discussions -- 5 Conclusions -- References -- 27 Vehicle License Plate Image Preprocessing Strategy Under Fog/Hazy Weather Conditions -- 1 Introduction -- 2 Proposed Preprocessing Technique -- 2.1 Description -- 3 Validation -- 4 Conclusions -- 5 Future Works -- References -- 28 Performance Analysis of Hetero-Junction Dielectric TFETs -- 1 Introduction -- 2 Methodology -- 3 Results and Discussions -- 4 Conclusion -- References -- 29 Thermal Entanglement of a Spin-1/2 Transverse Ising Model-Heisenberg Model on a Balanced DNA Helix -- 1 Introduction -- 2 Theoretical Background -- References -- 30 PID Control Parameter Tuning Using Linear Multivariate Model -- 1 Introduction -- 2 PID Controller -- 3 Plant Model -- 4 Partial Least Square Regression -- 5 Simulation -- 6 Results and Discussions -- 6.1 Modeling of Kp -- 6.2 Modeling of Kd -- 6.3 Modeling of Ki -- 6.4 Validation, Calibration, and Prediction of PLSR -- 7 Conclusion -- References -- 31 The Effects of Metal Ion Doped Ceramic Fillers into Poly (Vinylidene Fluoride) Matrix: A Comparative Investigation and Its Application in Micro-Electronics Industry -- 1 Introduction -- 2 Experimental Procedure -- 2.1 Materials -- 2.2 Methodology. 2.3 Investigating Instruments. |
| Record Nr. | UNINA-9910743380303321 |
| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational intelligence and machine learning : proceedings of the 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019) / / Jyotsna Kumar Mandal [and four others] editors
| Computational intelligence and machine learning : proceedings of the 7th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019) / / Jyotsna Kumar Mandal [and four others] editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XI, 200 p. 84 illus., 61 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico | Computational intelligence |
| ISBN | 981-15-8610-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Minutiae Points Extraction using Faster R-CNN -- Genetic Algorithm based Optimization of Clustering Data Points by Propagating Probabilities -- Detection of Malaria Parasites in Thin Blood Smears using CNN Based Approach -- A Deep Learning Approach for Predicting Air Pollution in Smart Cities -- Structural Design of Convolutional Neural Network based Steganalysis -- Sarcasm Detection of Media Text using Deep Neural Networks -- Sentiment Analysis Using Twitter -- A Type-Specific Attention Model for Fine Grained Entity Type Classification -- A Two Phase Approach using LDA for Effective Domain Specific Tweets Conveying Sentiments -- News Background Linking using Document Similarity Techniques. |
| Record Nr. | UNINA-9910484166903321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational intelligence in communications and business analytics : third International Conference, CICBA 2021, Santiniketan, India, January 7-8, 2021, revised selected papers / / Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay (editors)
| Computational intelligence in communications and business analytics : third International Conference, CICBA 2021, Santiniketan, India, January 7-8, 2021, revised selected papers / / Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (281 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Computational intelligence |
| ISBN | 3-030-75529-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464499003316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Computational intelligence in communications and business analytics : third International Conference, CICBA 2021, Santiniketan, India, January 7-8, 2021, revised selected papers / / Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay (editors)
| Computational intelligence in communications and business analytics : third International Conference, CICBA 2021, Santiniketan, India, January 7-8, 2021, revised selected papers / / Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (281 pages) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Computational intelligence |
| ISBN | 3-030-75529-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484647303321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Frontiers of ICT in Healthcare : Proceedings of EAIT 2022 / / edited by Jyotsna Kumar Mandal, Debashis De
| Frontiers of ICT in Healthcare : Proceedings of EAIT 2022 / / edited by Jyotsna Kumar Mandal, Debashis De |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (700 pages) |
| Disciplina | 004 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Technology—Sociological aspects Information technology Medical informatics Communication in medicine Computational Intelligence Information and Communication Technologies (ICT) Health Informatics Health Communication |
| ISBN |
9789811951916
9789811951909 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A method of genome sequence comparison based on a new form of fuzzy polynucleotide space -- Similarity Study of Spike Protein of Corona Virus by PCA Using Physical Properties of Amino Acids -- Identification of Humans by using Machine LearningModels on Gait Features -- Analysis of spread of COVID-19 based on Socio Economic Factors: A Comparison of Prediction Models -- Efficient Heart Disease Prediction using Modified Hybrid Classifier -- Continuous Speech Recognition in Hindi for Healthcare using Deep Learning -- Improving Mental Health through Multimodal Emotion Detection from Speech and Text Data using Long-Short Term Memory -- An unstructured mammogram analysis for feasible classification and detection of breast cancer using a convolutional approach -- MediFi : An IoT Based Health Monitoring Device -- Emotion Recognition from EEG Data Using Hybrid Deep Learning Approach. |
| Record Nr. | UNINA-9910717428103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovations in signal processing and embedded systems : proceedings of ICISPES 2021 / / Jyotsna Kumar Mandal, Mike Hinchey and K. Sreenivas Rao, editors
| Innovations in signal processing and embedded systems : proceedings of ICISPES 2021 / / Jyotsna Kumar Mandal, Mike Hinchey and K. Sreenivas Rao, editors |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] |
| Descrizione fisica | 1 online resource (489 pages) |
| Disciplina | 004.16 |
| Collana | Algorithms for intelligent systems |
| Soggetto topico |
Signal processing - Digital techniques
Artificial intelligence Embedded computer systems |
| ISBN | 981-19-1669-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- E-Voting System Using Blockchain -- 1 Introduction -- 2 Existing Method -- 2.1 Paper Ballots -- 2.2 E-Voting -- 2.3 I-Voting -- 3 Proposed System -- 4 Architecture -- 5 Components of Proposed System -- 5.1 Client Browser, Metamask, Ganache -- 6 Results -- 7 Conclusion -- 8 Future Work -- References -- Video-Based Abnormal Driving Behavior Detection and Risk Control Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 4 Methodology -- 5 Algorithm -- 6 Results -- 7 Conclusion -- References -- Design and Development of IoT-Based Women Auspice System by Using NodeMCU -- 1 Introduction -- 2 Related Work -- 3 Existing Method -- 4 Proposed Method -- 5 Materials and Method -- 6 Working Methodology -- 7 Experimental Results -- 8 Conclusion -- 9 Future Scope -- References -- Efficient Identity-Based Integrity Auditing for Cloud Storage and Data Sharing -- 1 Introduction -- 2 Literature Survey -- 3 Feasibility Study -- 4 Proposed Scheme -- 5 Results -- 6 Conclusion and Future Scope -- References -- High‑speed 4:2 Compressor Toward Image Processing -- 1 Introduction -- 2 Suggested FULL ADDER Unit -- 3 Simulation Setup -- 4 Simulation Results Assessment and Comparison -- 5 Conclusion -- References -- Double MAC Supported CNN Accelerator -- 1 Introduction -- 2 Existing System -- 2.1 CNN Accelerator -- 2.2 Related Work -- 3 Proposed System -- 3.1 Proposed Double MAC Architecture -- 3.2 SIMD Multiplication of Unsigned Numbers -- 3.3 Accumulation and Double MAC Architecture -- 4 CNN Accelerator Based on Double MAC -- 5 Results -- 5.1 Modified DSP Block with Double MAC -- 5.2 RTL Schematic of CNN Accelerator -- 5.3 Timing Report -- 6 Conclusion -- References -- Hybrid Cryptosystem's Design with AES and SHA-1 Algorithms -- 1 Introduction -- 2 Literature Review.
3 Proposed System -- 4 Methodology -- 5 Xilinx ISE -- 6 FPGA -- 6.1 FPGA Basics -- 7 Results -- 8 Conclusion -- References -- BTI Reliability Analysis of Low Leakage Fully Half-Select-Robust Free SRAM Design -- 1 Introduction -- 2 Existing Design -- 3 Proposed System -- 4 Results and Comparison -- 5 Conclusion -- References -- Intelligent Traffic Light System Using YOLO -- 1 Introduction -- 2 Work Flow -- 3 Database and Experimental Setup -- 4 Experimental Results -- 5 Conclusion -- References -- An Efficient Implementation of Programmable IIR Filter for FPGA -- 1 Introduction -- 1.1 Introduction to FPGA -- 2 Proposed Work -- 3 Simulation Result -- 4 Comparative Analysis -- 5 Conclusion -- References -- ASIC Implementation of Division Circuit Using Reversible Logic Gates Applicable in ALUs -- 1 Introduction -- 2 Proposed Model -- 3 Results Obtained for 32-Bit Division Circuit Employing Reversible Logic Gates -- 4 Conclusions -- References -- Operation of Asymmetric Hopfield Associative Memory: Orientation Selectivity -- 1 Introduction -- 2 State of the Art -- 3 Left Stable States, Right Stable States: Asymmetric Hopfield Neural Network -- 4 Programming of a Asymmetric Hopfield Neural Network -- 5 Associative Memory Architecture: HAM, AHNN Interconnection -- 6 Numerical Results -- 7 Conclusions -- References -- Intelligent Traffic Monitoring Systems Using Deep Learning Algorithms -- 1 Introduction -- 2 Related Work -- 3 Proposed DL Architecture -- 3.1 Establishment of Deep Learning Model Using CNN and LSTM -- 4 Implementation of DL Model -- 4.1 Parallel Training for DL Model -- 5 Performance Evaluation -- 6 Conclusion -- 7 Future Work -- References -- Multi-layer Hopfield Like Neural Network -- 1 Introduction -- 2 Review of Related Research Literature -- 2.1 Significance of Connectivity Structure -- 2.2 Biological Motivation. 3 Multi-layer Hopfield Associative Memory -- 3.1 Incremental Expansion of ANN -- 3.2 Modes of Operation of Multi-layer Hopfield Like Neural Network -- 3.3 Application Significance of Proposed ANN -- 4 Numerical Results -- 5 Conclusions -- References -- Applications of Artificial Intelligence for Autonomous Landing and Multicopter Unmanned Aerial Vehicles Design by Space Exploration Machines -- 1 Introduction -- 1.1 Artificial Intelligence -- 1.2 Landing System -- 2 Applications of Artificial Intelligence in Landing -- 3 How Autonomous Landing by Using Artificial Intelligence Changes the Future -- 4 Conclusion -- References -- Automated Skin Disease Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Review of Literature -- 3 Design Requirements for Hybrid Skin Disease Detection System -- 3.1 System Architecture -- 4 General Framework for of the Skin Disease Detection System -- 5 Methodology -- 5.1 K-Nearest Neighbor -- 6 Performance Metrics -- 6.1 Accuracy -- 6.2 Precision -- 6.3 Recall -- 6.4 F1-Score -- 7 Result and Discussion -- 8 Conclusion -- References -- FinFET-Based SRAM Design Using MGDI Technique for Ultra-Low-Power Applications -- 1 Introduction -- 2 CMOS Inverter Design Using GDI -- 2.1 DC Analysis -- 2.2 Transfer Characteristics -- 2.3 Static Power -- 2.4 Total Power -- 3 GDI SRAM Design -- 3.1 Read and Write Operation of GDI SRAM -- 3.2 Power Analysis -- 4 Modified Gate Diffused Input FinFET (M-GDI)-Based SRAM -- 4.1 DC Analysis -- 4.2 Power Analysis -- 5 Design of FinFET-Based MGDI 6T SRAM -- 5.1 Power Analysis -- References -- Design and Implementation of Efficient Counter-Based IoT DDoS Attacks Detection System Using Machine Learning -- 1 Introduction -- 2 Internet of Things (IoT) -- 2.1 Authentication for IoT Devices -- 2.2 DDoS Attacks Detection. 3 Internet of Things DDoS Attack Detection System Using Machine Learning -- 3.1 Methodology -- 3.2 IoT Devices -- 3.3 Data Preprocessing -- 3.4 Normalization -- 3.5 Feature Extraction -- 3.6 Feature Selection -- 3.7 Cross Validation -- 3.8 Machine Learning Methods -- 4 Results -- 5 Conclusion -- References -- Advancements of Artificial Intelligence in Microbiological Study by Extraction and Identification of Different Micro-organism Clusters -- 1 Introduction -- 2 Machine Learning Processes -- 3 Deep Learning Processes -- 4 AI Interventions in Microbiology -- 4.1 Study of Relation Between Human Health and Microorganisms -- 4.2 Extraction of a Microorganism Cluster from a Community of Different Microbial Species -- 4.3 Identification of Different Bacterial Species in Food -- 4.4 Identifying Nosocomial Infection in Hospitals -- 4.5 Identifying Bacteriophages in Metagenomic Bins and Contigs -- 4.6 Antiviral Peptides (AVP) -- 4.7 Identifying Tuberculosis Using Convolutional Neural Networks -- 4.8 Creating Drugs Capable of Killing Antibiotic Resistance Pathogens -- 4.9 AI in Fighting COVID-19 Pandemic -- 5 Conclusion -- References -- Rice Disease Detection and Classification Using Artificial Intelligence -- 1 Introduction -- 2 Classification of Rice Diseases -- 3 Related Work -- 4 Methodology -- 5 Results and Discussion -- 6 Conclusion -- References -- Network Intrusion Detection Using Machine Learning for Virtualized Data -- 1 Introduction -- 2 Network Intrusion Detection System -- 2.1 Support Vector Machine -- 2.2 Naive Bayes -- 3 Network Intrusion Detection Using Machine Learning -- 3.1 Attack Flows -- 3.2 Pre-processing -- 3.3 Feature Selection -- 3.4 Feature Reduction Using CfsSubsetEval -- 3.5 SVM Classification -- 3.6 Naïve Bayes Classification -- 4 Results -- 5 Conclusion -- References. Detection of Human Behavior Using Swarm Technique and Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Particle Swarm Method Using ANN -- 4 Results and Discussion -- 5 Conclusion -- References -- Machine Learning-Based Approach for Classification of Weed Images -- 1 Introduction -- 2 Literature Survey -- 3 Methodologies -- 4 Results -- 5 Conclusion -- References -- Intelligence Speech Has Collapsed and Talking Unconsciously Circumstance Using Diva Module -- 1 Introduction -- 1.1 DIVA Module -- 2 Existing Method -- 2.1 Matching Pursuit Algorithm -- 2.2 Problem Finding of Existing Method -- 2.3 Experimental Tools -- 3 Proposed System -- 3.1 Problem Finding of Proposed Method -- 3.2 Description of ICA Analysis -- 3.3 Implementation of Eeglab -- 3.4 Path Setup to EEGLAB -- 4 Execution Results -- 5 Simulation Result for Denoising Signal -- 5.1 Output Graphs of Denoising Signal -- 6 Conclusion and Future Scope -- References -- A Wavelet-Based De-Noising Speech Signal Performance with Objective Measures -- 1 Introduction -- 2 Literature Survey -- 2.1 Weiner Filtering -- 2.2 Wavelet Transform -- 2.3 Discrete Wavelet Transform -- 2.4 Speech Quality Measures -- 2.5 The Weighted Spectral Slope Measure (WSSM) -- 3 Existing Method -- 4 Proposed Method -- 4.1 Algorithm -- 4.2 DWT Decomposition -- 4.3 Algorithm -- 4.4 Speech Corpus -- 4.5 Windowing Technique -- 5 Results and Discussion -- 5.1 Experiment results: Speech signal input 1: Characteristics -- 6 Conclusion and Future Scope Conclusion -- References -- Multispectral Image Compression Using Adaptive Thresholding in Wavelet Domain with Binary Plane Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Experimental Setup Results -- 5 Conclusion and Future Scope -- References -- Privacy Ensured Transmission of Healthcare Records Using IoT-Enabled Systems -- 1 Introduction. 2 Literature Survey. |
| Record Nr. | UNINA-9910627267803321 |
| Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Microelectronics, communication systems, machine learning and internet of things : select proceedings of MCMI 2020 / / Vijay Nath and Jyotsna Kumar Mandal, editors
| Microelectronics, communication systems, machine learning and internet of things : select proceedings of MCMI 2020 / / Vijay Nath and Jyotsna Kumar Mandal, editors |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] |
| Descrizione fisica | 1 online resource (698 pages) |
| Disciplina | 004.678 |
| Collana | Lecture notes in electrical engineering |
| Soggetto topico |
Machine learning
Microelectronics Internet of things |
| ISBN | 981-19-1906-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910627271203321 |
| Singapore : , : Springer Nature Singapore Pte Ltd., , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Nanoelectronics, circuits and communication systems : proceeding of NCCS 2019 / / Vijay Nath, J. K. Mandal, editors
| Nanoelectronics, circuits and communication systems : proceeding of NCCS 2019 / / Vijay Nath, J. K. Mandal, editors |
| Edizione | [1st edition 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XIII, 817 p. 543 illus., 344 illus. in color.) |
| Disciplina | 621.381 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Nanoelectronics
Wireless communication systems Internet of things |
| ISBN | 981-15-7486-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Active Security by Implementing Intrusion Detection and Facial Recognition -- Image Processing Using Median Filtering for Identification of Leaf Disease -- Cloud Computing: Security Issues and Challenges -- Application of Knowledge and Data Mining to Build Intelligent Systems -- Hybrid Model for Stress Detection in Social Media by Using Dynamic Factor Graph Model and Convolutional Neural Networks -- Modelling and Forecasting of Bitcoin Prices Using Bayesian Regularization Neural Network -- Machine learning based Implementation of Image Corner Detection Using SVM Algorithm for Biomedical Applications -- Switching Mechanism of Internal Model Control based PI Controller for Lag Dominating Processes -- Calculation of Torque Ripple and Derating Factor of a Symmetrical Six-Phase Induction Motor (SSPIM) under the Loss of Phase Conditions. |
| Record Nr. | UNINA-9910483780603321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Advanced Computing Applications : ICACA 2021 / / Jyotsna Kumar Mandal, Rajkumar Buyya, Debashis De, editors
| Proceedings of International Conference on Advanced Computing Applications : ICACA 2021 / / Jyotsna Kumar Mandal, Rajkumar Buyya, Debashis De, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (837 pages) |
| Disciplina | 006.3 |
| Collana | Advances in intelligent systems and computing |
| Soggetto topico |
Artificial intelligence
Internet of things |
| ISBN |
981-16-5207-4
981-16-5206-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743246903321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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