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Advances in Information and Communication Technology : Proceedings of the 2nd International Conference ICTA 2023, Volume 1
| Advances in Information and Communication Technology : Proceedings of the 2nd International Conference ICTA 2023, Volume 1 |
| Autore | Nghia Phung Trung |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (364 pages) |
| Altri autori (Persone) |
ThaiVu Duc
ThuyNguyen Thanh SonLe Hoang HuynhVan-Nam |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 3-031-49529-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organization -- Keynotes -- Exploitation of Electronic Medical Records -- Advancing Slope Land Disaster Monitoring and Alert Systems through Synergistic IoT and AI Integration -- Audio/Speech Information Hiding Based on Human Auditory Characteristics -- Research on Intrusion Detection on Host Devices -- Acknowledgements -- About This Book -- Contents -- About the Editors -- Artificial Intelligence -- A Combination of Active Learning and Deep Learning for Improving Breast Cancer Prediction -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Sampling Methods -- 3.2 Fine-Tuned Deep Learning Models -- 4 Experiments -- 4.1 Dataset and Hyperparameters -- 4.2 Evaluate the Experiment Results -- 5 Conclusion -- References -- A Novel Arm Bone Fracture Detection Using Deep Learning -- 1 Introduction -- 2 Methodology -- 2.1 Proposed approach -- 2.2 YOLOv7-mask Instance Segmentation -- 2.3 Image Processing Algorithms -- 2.4 Super Resolution Generative Adversarial Networks -- 2.5 YOLOv7-E6E Object Detection -- 3 Experimental Results -- 3.1 Environment Setup -- 3.2 YOLOv7-mask Training Results -- 3.3 SRGAN Training Results -- 3.4 YOLOv7-E6E Training Results -- 3.5 Compare with another method -- 4 Conclusion -- References -- A Systematic Review of Artificial Intelligence in Geographic Information Systems -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Selection -- 2.2 Data Analysis and Reporting -- 3 Results -- 3.1 RQ1: What Is the Trend of Peer-Reviewed Papers on the Application of AI in GIS from 2014 to 2023, and How Has the Number of Publications Changed Over Time? -- 3.2 RQ2: What Countries Are Most Active in Researching AI in GIS and Is There Any Collaboration Between Them? -- 3.3 RQ3: Which Journals Are the Most Influential in the Field of AI in GIS?.
3.4 RQ4: What Emerging Themes and Trends Can Be Synthesized from Recent Research of AI in GIS? -- 4 Discussion -- 5 Conclusion and Future Work -- References -- Build an Effective System for Container Code Recognition -- 1 Introduction -- 2 Our Approach -- 2.1 Code Location -- 2.2 Code Segmentation -- 2.3 Code Recognition -- 3 Experiment Results -- 4 Conclusions -- References -- Building an Efficient Retriever System with Limited Resources -- 1 Introduction -- 2 Background and Related Works -- 2.1 The Dual-Encoder Passages Retriever -- 2.2 The Cross-Encoder Passages Re-ranker -- 3 Our Proposed Approach -- 3.1 Fine-Tuning PhoBERT for Domain-based QA Systems -- 3.2 The Dual-Encoder -- 3.3 Cross-Encoder -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Experimental Results -- 5 Conclusion -- References -- Deep Learning Based Coconut Fruit Maturity Classification -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset Acquisition -- 3.2 Classification Models -- 3.3 Evaluation Metrics -- 3.4 Experiments and Results -- 4 Conclusion -- References -- Enhanced Prediction of mRNA Subcellular Localization Using a Novel Ensemble Learning and Hybrid Approach -- 1 Introduction -- 2 Material and Methods -- 2.1 Data Collection -- 2.2 Feature Engineering -- 2.3 Model Construction, Learning and Evaluation -- 3 Results and Discussion -- 3.1 Impact of Single and Hybrid Features in Predictor of Eukaryotic mRNA Subcellular Localization -- 3.2 Ensemble Learning of Machine Learning Models -- 3.3 Independent Testing Performance -- 4 Conclusion -- References -- Improved Approach for Mapping Anthropological Facial Features Based on A Convolutional Neural Network -- 1 Introduction -- 2 Methodology -- 2.1 Creating Data for Data Augmentation in Deep Learning -- 2.2 Anthropological Face Feature Detector Using Convolutional Neural Network. 2.3 Visualizing Feature Maps Generated in a CNN -- 3 Experiments and Results -- 3.1 Experimental Setup and Experimental Data Set -- 3.2 Experimental Results -- 4 Conclusion -- References -- Intrusion Detection System Using Semi-supervised Learning with Hybrid Labeling Techniques -- 1 Introduction -- 2 Related Work -- 3 Hybrid Labeling Techniques for Intrusion Detection Systems -- 3.1 Overview -- 3.2 Data Preprocessing -- 3.3 Deep Learning Model -- 3.4 Hybrid Labeling Techniques -- 4 Evaluation -- 4.1 Experimental Design -- 4.2 Supervised Learning -- 4.3 Evaluate Clustering Methods -- 4.4 Performance Comparison: Baseline Versus Proposed Method -- 5 Conclusion -- References -- Monitor Respiration Rate and Sleep Position Using Multi-task Learning -- 1 Introduction -- 2 Methodology -- 2.1 Multi-task Learning -- 2.2 Data Collection -- 2.3 Data Augmentation -- 2.4 Modeling -- 2.5 Loss Function -- 3 Experiments -- 3.1 Dataset -- 3.2 Experimental Setup -- 4 Results -- 5 Conclusion -- References -- Predicting Drug-Disease Associations Based on Integrated Similarities and Weighted Bi-level Network -- 1 Introduction -- 2 Materials and Method -- 2.1 Materials -- 2.2 Method -- 3 Experimental Results -- 3.1 Performance Evaluation -- 3.2 Ablation Study -- 3.3 Comparison with other Methods -- 3.4 Case Studies -- 4 Conclusion and Discussions -- References -- A Real-time Crowd Density Level Detection System -- 1 Introduction -- 2 Related works -- 3 Architecture and Components -- 4 Implementation and Experimental Results -- 5 Conclusion and Future Work -- References -- An Architecture for More Fine-Grained Hidden Representation in Named Entity Recognition for Biomedical Texts -- 1 Introduction -- 2 Related Work -- 3 Bio Named Entity Recognition -- 3.1 Problem Formulation -- 3.2 The Proposed Model -- 4 Settings and Evaluation Metrics -- 5 Results and Discussion. 5.1 F-Score Comparison -- 5.2 Performance with Different PLMs -- 5.3 The Performance with Epochs -- 6 Conclusion -- References -- Application of Deep Learning Methods for Forest Fire Intelligent Image Processing -- 1 Introduction -- 2 Methodology -- 2.1 Preparing the Convolutional Neural Network -- 2.2 Preparation of Initial Images and Creation of Noisy -- 2.3 Creating an Output Image -- 3 Result -- 4 Conclusion -- References -- Choosing Data Points to Label for Semi-supervised Learning Based on Neighborhood -- 1 Introduction -- 2 The structure of SS-FMM -- 2.1 Fuzzy min max hyperbox -- 2.2 Function belonging to fuzzy hyperbox -- 2.3 The architecture of the fuzzy min max neural network -- 3 The proposed method -- 4 Experimental results -- 4.1 Data description and Evaluation method -- 4.2 Evaluation results -- 5 Conclusion -- References -- Classification of Fermentation Levels of Cacao Beans (Theobroma cacao L.) Using Sensing Technology and Neural Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Used in the Study -- 2.2 ESP32 Microcontroller -- 2.3 Gas Sensors -- 2.4 Cacao Fermentation -- 3 Results and Discussion -- 3.1 Data Pre-processing -- 3.2 Data Modeling -- 3.3 TabNet Architecture -- 3.4 Model Evaluation -- 3.5 Data Modeling using Artificial Neural Network (ANN) -- 3.6 Modeling Using Deep Neural Network (DNN) -- 3.7 Modeling Using TabNet -- 4 Web Application -- 5 Conclusion and future works -- References -- DCDynUnet: Deep Supervision Attention Context for Brain Segmentation -- 1 Introduction -- 2 Proposed Method -- 3 Experiment -- 3.1 Experiments Setup -- 3.2 Result -- 4 Conclusion -- References -- Enhancing Wildfire Detection Using Semi-supervised Fuzzy Clustering on Satellite Imagery -- 1 Introduction -- 2 Clustering Techniques -- 2.1 Fuzzy C-Means (FCM) Method -- 2.2 Semi-supervised Fuzzy C-Means (SSFCM) Method. 2.3 Fuzzy Clustering on Advance Fuzzy Set -- 2.4 Picture Fuzzy Clustering (FC-PFS) Method -- 2.5 The Flowchart of the Algorithm -- 3 Application to Wildfire Detection from Satellite Images -- 3.1 Environmental Setup -- 3.2 Environmental Results -- References -- Evaluating the Performance of Some Deep Learning Model for the Problem of Emotion Recognition Based on EEG Signal -- 1 Introduction -- 2 Data Preparation -- 3 Feature Extraction -- 3.1 FFT Feature Extraction -- 3.2 Welch Feature Extraction -- 4 Network Architecture Selection -- 5 Some Experimental Results -- 6 Conclusion -- References -- Feature Reduction for Interpretability of Neuro-Fuzzy Classifier -- 1 Introduction -- 2 Neuro-Fuzzy Classifier -- 3 Feature Reduction by Recursive Feature Elimination and Causality Analysis -- 4 Experiment results -- 5 Conclusion -- References -- Improved Accuracy of Path System on Creating Intelligence Base -- 1 Introduction -- 2 Inertial Navigation System -- 2.1 Inertial Navigation Algorithm -- 2.2 INS error model -- 3 Inertial Navigation System -- 3.1 Integrated INS/GNSS System Based on Kalman Filter -- 3.2 Inertial Navigation System using AI -- 4 Simulation Results -- 5 Conclusion -- References -- The Vehicle Routing Problem with Drones for Fresh Agricultural Products -- 1 Introduction -- 2 Materials and Methods -- 2.1 Vehicle Routing Problem with Drones for Agricultural Products -- 2.2 Total Quality Deterioration Value -- 2.3 Mathematical Model -- 2.4 Large Neighborhood Search Algorithm for VRPD-AP -- 3 Results and Discussion -- 4 Conclusion -- References -- ViT-SigNet: Combining Deep CNN and Vision Transformer for Enhanced Signature Verification -- 1 Introduction -- 2 Related work -- 3 Data and Methods -- 3.1 Data -- 3.2 Methods -- 4 Results and Discussion -- 4.1 Strategy 1: Signature Classification -- 4.2 Strategy 2: Signature verification. 5 Conclusions. |
| Record Nr. | UNINA-9910770251303321 |
Nghia Phung Trung
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Information and Communication Technology : Proceedings of the 2nd International Conference ICTA 2023, Volume 2
| Advances in Information and Communication Technology : Proceedings of the 2nd International Conference ICTA 2023, Volume 2 |
| Autore | Nghia Phung Trung |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (478 pages) |
| Altri autori (Persone) |
ThaiVu Duc
ThuyNguyen Thanh SonLe Hoang HuynhVan-Nam |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 3-031-50818-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Organization -- Keynotes -- Exploitation of Electronic Medical Records -- Advancing Slope Land Disaster Monitoring and Alert Systems through Synergistic IoT and AI Integration -- Audio/Speech Information Hiding Based on Human Auditory Characteristics -- Research on Intrusion Detection on Host Devices -- Acknowledgements -- About This Book -- Contents -- About the Editors -- Electronics -- A Closely Spaced Multi-element Self-Isolated MIMO Antenna Array -- 1 Introduction -- 2 Antenna Design -- 2.1 Decoupling Mechanism -- 2.2 Antenna Structure -- 3 Antenna Operation Characteristics -- 4 Conclusion -- References -- A Comparative of Positive Real Truncation and H-Infinity Reduction Techniques for Model Simplification in Electrical Circuits and Power Systems -- 1 Introduction -- 2 Positive Real Balancing-Based Order Reduction Algorithm, Preserving Passivity -- 3 Algorithm for Model Reduction of Unstable Systems Based on H-Infinity Truncation -- 4 Performance Evaluation of PRR and HBR for Model Reduction -- 5 Conclusion -- References -- A Low Noise 10-Bit 59.41dB SNR SAR ADC Using Chopper Comparator for Biomedical Applications -- 1 Introduction -- 2 Comparator Architecture -- 3 Capacitive in SAR ADC 10-Bit -- 4 Simulation Results -- 5 Conclusion -- References -- Approach New Framework of Compressive Sensing Based Secret Sharing in Wireless Sensor Network: Theory and Applications -- 1 Introduction -- 2 Background of CS -- 2.1 Sparse Data Presentation -- 2.2 Measurement Matrices and CS Measurements -- 2.3 Data Recovery Algorithms -- 3 Proposed Methods: CS Based Secret Sharing (C3S) -- 3.1 Data Collection Schemes Utilizing CS -- 3.2 Using Random Seeds to Create CS Measurements -- 3.3 Using Random Seeds to Reconstruct Data -- 3.4 Discussion About the Advantages and Disadvantages of the Proposed Framework -- 4 Some Simulation Results.
5 Conclusions and Future Work -- References -- Design and Implementation of a Natural Respiratory Rate Monitoring System Using Flex and Inertial Sensors on Medium-Power Microcontrollers -- 1 Introduction -- 2 Research Methods -- 2.1 Data Analytics -- 2.2 Noise Filter -- 2.3 Respiratory Rate Determination Algorithm -- 2.4 Human Activity Recognition Model -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Design of 1 × 4 Microstrip Patch MIMO Antenna for 5G Applications -- 1 Introduction -- 2 Antenna Design -- 3 Antenna Characteristic -- 3.1 Decoupling Mechanism -- 3.2 Antenna Performances -- 4 Conclusion -- References -- GPRS Based Health Monitoring System -- 1 Introduction -- 2 Proposed System -- 2.1 Description of the System -- 2.2 Liquid Crystal Display -- 2.3 Schematic Description -- 2.4 Bit Modes -- 2.5 GPRS for the Health Monitoring System -- 2.6 Temperature Sensors -- 2.7 Experimental Results -- 2.8 Conclusion -- References -- Model Reduction Techniques for Circuits: Positive Real Balancing and Stochastic Balancing Comparison -- 1 Introduction -- 2 Positive Real Balancing-Based Order Reduction Algorithm, Preserving Passivity -- 3 Stochastic Balancing-Based Order Reduction Algorithm, Preserving Minimum Phase -- 4 Implementation and Comparison of PRR and SBR -- 5 Conclustion -- References -- Non-Invasive Feature Selection for Intrusion Detection Systems in the Internet of Things -- 1 Introduction -- 2 Data and Preprocessing -- 3 Method -- 3.1 Intelligent Algorithms -- 3.2 Feature Transformation and Variable Selection -- 3.3 Performance Validation -- 4 Results and Discussions -- 4.1 Performance Validation -- 4.2 Proposed IDS Design and Comparisons -- 5 Conclusions -- References -- Piggyback-Based Collaborative Resource Selection in C-V2X -- 1 Introduction -- 2 Related Work -- 3 Semi-Persistent Scheduling. 4 Channel Congestion Due to Aperiodic Traffic Generation -- 5 Piggyback-Based Resource Allocation in C-V2X -- 6 Conclusion -- References -- Speeding Up SIFT for Faster Feature-Based UAV Visual Localization -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Pre-Processing Map and UAV Image -- 3.2 Limit Searching Area for Keypoints -- 3.3 Using PCA to Reduce the Dimension of the Vector Descriptor -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Results -- 5 Conclusion -- References -- The Using of Real Part Component to Enhance Performance of MVDR Beamformer -- 1 Introduction -- 2 Robust MVDR Beamformer -- 3 The Principles of MVDR Beamformer -- 4 The Using of Real Part Component -- 5 Experiments -- 6 Conclusion -- References -- Control and Automation -- A Case Study on the Kinematics Analysis of a Self-Stabilizing Dual-Wheeled Mobile Robot -- 1 Introduction -- 2 Kinematic Model -- 3 Modeling and Control of the Robot -- 4 Results and Discussion -- References -- A Finite-Time Recursion-Based Tracking Control for Under-Actuated Autonomous Underwater Vehicles -- 1 Introduction -- 2 System Description and Control Objectives -- 2.1 UAUV's Mathematical Model -- 2.2 System Seperation and Control Objective -- 3 Methodology -- 3.1 Tracking Error State Modification -- 3.2 Kinematic Controller Design -- 3.3 Kinetic Controller Design -- 4 Numerical Results -- 5 Conclusion and Future Work -- References -- A Reinforcement Learning Method for Control Scheme of Permanent Magnet Synchronous Motor -- 1 Introduction -- 2 Reinforcement Learning Based Control Structure -- 3 Simulation Results -- 4 Conclusion -- References -- An Effective Intelligent Control Strategy for the Inverted Pendulum System on a Cart Applies a Hierarchical Sliding Mode Control Technique Combined with an Adaptive RBF Neural Network -- 1 Introduction -- 2 Mathematical Model. 3 Intelligent Control Strategy -- 3.1 Hierarchical Sliding Mode Control (HSMC) -- 3.2 Intelligent Control Using Adaptive RBF Artificial Neural Network -- 4 Algorithm Simulation Results -- 4.1 Scenario 1: The System Without External Disturbances and Unchanged Model Parameters -- 4.2 Scenario 2: The System with External Disturbances and Changes in Model Parameters -- 5 Conclusions -- References -- Design and Control of an Unmanned Aerial Vehicle (Quadcopter) for Agriculture -- 1 Introduction -- 2 Quadcopter System Modeling -- 2.1 Linearized Models -- 2.2 Control Designing -- 2.3 Control System Simulation -- 3 Test Results -- 4 Conclusion -- References -- Design and Simulation of PID-Based Control System for UAV Quadcopters -- 1 Introduction -- 2 Dynamic Modelling for a Quadcopter -- 3 Controller Design for Quadcopter -- 4 Simulation Results -- 5 Conclusions and Future Work -- References -- Development of Traffic Congestion Prediction Solution Using Cellular Neural Network Technology -- 1 Introduction -- 2 Traffic Congestion Problem and Solutions -- 2.1 A Mathematical Model of the Problem -- 2.2 Simulation Results -- 3 Propose a Model to Handle Traffic Forecasting Problem in a City -- 4 Design a CNN Circuit for the Problem -- 4.1 Cellular Neural Network Technology (CNN Technology) -- 4.2 Design the CNN Chip for Solving Traffic Equation -- 5 Conclusion -- References -- Optimal Design of Hedge-Algebras-Based Controller for Active Suspension Systems with Parameter Uncertainty -- 1 Introduction -- 2 The Quarter-Car Active Suspension Model -- 3 Control Design -- 4 Numerical Simulations -- 5 Conclusions -- References -- Optimizing Cooling Loads, Taking into Account Compensation Costs for Users, Temperature Factors, and Distributed Energy Sources -- 1 Introduction -- 2 System Structure and Cost Factors -- 2.1 System Structure. 2.2 Electricity Procurement Costs and Benefits of Selling Electricity -- 2.3 Compensation Strategy for Meeting User's Demand -- 3 ACL Model and Distributed Energy Sources -- 3.1 ACL Model -- 3.2 The Distributed Energy Source Model - Wind Power -- 4 Optimization Model -- 5 Results and Discussion -- References -- Path Tracking Control Approach and Processing Lumped Disturbances for AGV in Recent Years: an Overview -- 1 Introduction -- 2 Survey of Tracking Control Algorithms -- 2.1 PID (Proportional-Intergral-Derivative) -- 2.2 Backstepping Technique -- 2.3 Fuzzy Logic Control and Neural Network -- 2.4 SMC (Sliding Mode Control) -- 2.5 MPC (Model Predictive Control) -- 2.6 Handling External Disturbances and Model Parameter Uncertainties -- 3 Related Notes -- 4 Strength, Weakness, and Application Areas -- 5 Conclusion -- Appendix -- References -- Radial Basis Function Neural Network Based Fractional Order Sliding Mode Control for Planar Flexible-Joint Robot 2-Dof -- 1 Introduction -- 2 Mathetical Model -- 3 Research Methods -- 3.1 Fraction Math -- 3.2 Radial Network RBF -- 3.3 Adaptive Fractional Order Sliding Controller Based on RBF -- 4 Simulation Results -- 4.1 Simulation Scenario -- 4.2 Results and Comparison -- 5 Conclusion -- References -- Stabilizing Control for an Inverted Eccentric Pendulum System -- 1 Introduction -- 2 Mathematical Model -- 3 Control Objectives and Design -- 4 Simulation -- 5 Conclusion -- References -- Multimedia -- A Lightweight Attention Model for Face Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Attention Modules -- 2.2 Proposed Network -- 3 Experiment -- 3.1 Dataset -- 3.2 Implementation Detail -- 3.3 Performance and Analysis -- 4 Conclusion -- References -- Assessment of Video Transmission Delay from a Telemetry Surveillance System -- 1 Introduction -- 2 Architecture of Remote Telemetry Surveillance System. 3 Research Methodology and Experimentation. |
| Record Nr. | UNINA-9910799241603321 |
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Nghia Phung Trung
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Computing and Innovation on Data Science : Proceedings of ICTIDS 2019 / / edited by Sheng-Lung Peng, Le Hoang Son, G. Suseendran, D. Balaganesh
| Intelligent Computing and Innovation on Data Science : Proceedings of ICTIDS 2019 / / edited by Sheng-Lung Peng, Le Hoang Son, G. Suseendran, D. Balaganesh |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (795 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Computer security Computational Intelligence Artificial Intelligence Big Data Systems and Data Security |
| ISBN | 981-15-3284-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Comprehensive Guide to Implementation of Data Warehouse in Education -- Computational Biology Tool Towards Studying the Interaction Between Azadirachtin Plant Compound with Cervical Cancer Proteins -- Intelligent Agent Based Organization For Studying the Big Five Personality Traits -- Automatic Pruning of Rules Through Multi-Objective Optimization – A Case Study With a Multi-Objective Cultural Algorithm -- Knowledge Genesis And Dissemination: Impact On Performance In Information Technology Services -- Artificial Intelligence Based Load Balancing In Cloud Computing Environment: A Study -- Implementation of Statistical Data Analytics in Data Science Life Cycle -- A Big Data Analytics-Based Design for Viable Evolution of Retail Sector -- Document Content Analysis Based on Random Forest Algorithm -- Sensing The Prostatectomy in Neuroendocrine Metastatic Active Surveillance in Data Mining Techniques -- Work Load Forecasting Based On Big Data Characteristics In Cloud Systems -- Phrase Extraction Using Pattern Based Bootstrapping Approach -- IOT Based Trash Collection Bin Using Arduino. |
| Record Nr. | UNINA-9910484009103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Micro-Electronics and Telecommunication Engineering : Proceedings of 3rd ICMETE 2019 / / edited by Devendra Kumar Sharma, Valentina Emilia Balas, Le Hoang Son, Rohit Sharma, Korhan Cengiz
| Micro-Electronics and Telecommunication Engineering : Proceedings of 3rd ICMETE 2019 / / edited by Devendra Kumar Sharma, Valentina Emilia Balas, Le Hoang Son, Rohit Sharma, Korhan Cengiz |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 735 p. 413 illus., 305 illus. in color.) |
| Disciplina | 621.381 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Electronics
Microelectronics Power electronics Electrical engineering Artificial intelligence Electronics and Microelectronics, Instrumentation Power Electronics, Electrical Machines and Networks Communications Engineering, Networks Artificial Intelligence |
| ISBN | 981-15-2329-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Radio Direction Finding techniques for an Unmanned Aerial Vehicle -- Translation into Pali language from Brahmi Script -- A Fractal Boundary Wideband Antenna with DGS for X-Band Application -- An Approach to Automated Spam Detection Using Deep Neural Network and Machine Learning Classifiers -- Handling Sparsity in Cross Domain Recommendation Systems: Review -- Daily Rainfall Prediction Using Nonlinear Autoregressive Neural Network -- Adiabatic Design Implementation of Digital Circuits for Low Power Applications -- Parametric Classification of Dynamic Community Detection Techniques -- Survey on the Impact of FSM Design for High-performance Architecture Evaluation -- Design of Configurable Analog Block based Oscillator and Possible Applications -- Classification of Pre-diabetes and Healthy Subjects in Plantar Infrared Thermal Imaging Using Various Machine Learning Algorithms. |
| Record Nr. | UNINA-9910383834003321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||