Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICEDT-2024, Volume 2 / / edited by Palaiahnakote Shivakumara, Saurov Mahanta, Yumnam Jayanta Singh
| Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICEDT-2024, Volume 2 / / edited by Palaiahnakote Shivakumara, Saurov Mahanta, Yumnam Jayanta Singh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (610 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Statistics Cooperating objects (Computer systems) Internet of things Computer networks - Security measures Computational Intelligence Artificial Intelligence Cyber-Physical Systems Internet of Things Mobile and Network Security |
| ISBN | 9789819736041 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- VLSI and Semiconductors, Electronics System, IoT, Robotics and Automations -- Classification of Bearing Faults by Approximation of Peak-To-Peak Amplitudes Distribution -- 1 Introduction -- 2 Materials and Methods -- 3 Numerical Study -- 4 Conclusions -- References -- Ensemble of Visual Transformer and Deep Neural Networks for Recognizing Sunflower Diseases from Photographs -- 1 Introduction -- 2 Materials and Methods -- 3 Experiment -- 4 Conclusions -- References -- Design and Development of Parallel Beamformer Model for RTL Verification -- 1 Introduction -- 2 Background -- 3 Development of Parallel Beamformer Model -- 3.1 Specifications -- 3.2 MATLAB® Modelling -- 3.3 Defining Ultrasound Transducer Using K-Wave -- 4 Verification of RTL Model -- 5 Results and Discussions -- 6 Conclusion -- References -- Early Detection of Oral Cancer Using Image Processing and Computational Techniques -- 1 Introduction -- 2 Background -- 3 Materials and Methods -- 3.1 Study Design -- 3.2 System Requirements and Training Parameters -- 3.3 Dataset Description -- 3.4 Feature Selection and Segmentation -- 3.5 Model Evaluation Metrics -- 3.6 Reviewing the Models Performance Individually -- 3.7 Performance Analysis -- 4 Graphic User Interface -- 5 Conclusion -- References -- LoRa Enabled IoT Sensor Framework for Monitoring Urban Flood in Guwahati City -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Study Area -- 3.2 Materials Used -- 3.3 Architecture -- 3.4 Prototype Development -- 3.5 Novelty -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Study and Implementation of Smart Positioner Prototype for Industrial Applications -- 1 Introduction -- 2 Related Work -- 3 Methodology and Project Development Stages -- 4 Results and Conclusion -- References.
Tactile Internet: A Next Gen IoT Technology -- 1 Introduction -- 1.1 Literature Survey on Tactile Internet -- 2 Haptic Communication -- 2.1 Haptic Capture -- 2.2 Haptic Encoding -- 2.3 Haptic Delivery -- 3 Requirements -- 4 Architecture -- 4.1 Master Domain -- 4.2 Controlled Domain -- 4.3 Network Domain -- 5 Communication Technology for TI -- 6 Comparison -- 7 Application -- 7.1 Telepresence with Tactile Feedback -- 7.2 Industrial Automation -- 7.3 Healthcare -- 7.4 Autonomous Driving -- 8 Research Issues -- 8.1 Latency Reduction in TI Application -- 8.2 Architectural Issues -- 8.3 Resource Allocation in TI -- 8.4 Haptic Communication -- 8.5 Augmented/Virtual Reality Issues -- 9 Network Simulations -- 10 Conclusion -- References -- A Deep Learning Approach for Hardware Trojan Detection in Netlist of Integrated Circuits with Graph Neural Networks -- 1 Introduction -- 2 Methodology -- 2.1 Parsing the Hardware -- 2.2 Generation of Hardware Schematics -- 2.3 Transformation of Graphviz Graphs -- 2.4 Management of Hardware Configuration -- 2.5 GNN Model -- 3 Dataset and Model -- 4 Experimental Results -- 5 Conclusion -- References -- A Comparative Study of Jpeg and Similar Compression Standards for Wireless Communication -- 1 Introduction -- 1.1 JPEG -- 1.2 JPEG 2000 -- 1.3 Modified Jpeg Based on DCT -- 1.4 Modified Jpeg Based on DST -- 2 Discrete Wavelet Transform (DWT) -- 3 Performance Evaluation Parameter Metrics -- 3.1 MSE -- 3.2 PSNR -- 3.3 Quantization in JPEG -- 4 Results and Discussion -- 5 Conclusion -- References -- Iot-Based Transport Monitoring System for Pharmaceutical Industry -- 1 Introduction -- 2 Proposed System -- 2.1 Implementation -- 3 Results and Discussions -- 4 Conclusion and Future Scope -- 4.1 Conclusion -- 4.2 Future Scope -- References -- Non-intrusive Remote Apiculture Monitoring System -- 1 Introduction -- 2 Project Design. 2.1 Using Arduino Uno Microcontroller -- 2.2 Using ARM Cortex Microcontroller -- 2.3 Implementation -- 2.4 Implementation Using Arduino Uno Microcontroller -- 2.5 Implementation Using ARM Cortex Microcontroller -- 3 Results and Discussions -- 4 Conclusion and Future Scope -- 4.1 Conclusion -- 4.2 Future Scope -- References -- Design and Analysis of Enhanced Bandwidth Slotted Logarithmic Spiral Patch Antenna for 5G Communication -- 1 Introduction -- 2 Antenna Design and Methodology -- 3 Result and Analysis -- 3.1 Bandwidth -- 3.2 VSWR -- 3.3 Gain -- 3.4 E-Field Distribution -- 3.5 Radiation Pattern -- 4 Conclusion -- References -- IoT Based Real-Time Automatic Number Plate Detection Using OpenCV -- 1 Introduction -- 2 Objective -- 3 Related Work -- 4 Proposed System -- 5 Module -- 6 Flow Diagram -- 7 Block Diagram -- 8 Implementation -- 8.1 Image Acquisition -- 8.2 Loading Model Using OpenCV DNN -- 8.3 Detection of Plate -- 8.4 Cropping ROI -- 8.5 Image Processing and Extraction of Characters Using OCR -- 8.6 Data Uploading -- 8.7 Uploading Resultant Images -- 8.8 Dashboard -- 9 Hardware Implementation -- 9.1 Hardware Component Used -- 9.2 Hardware Setup -- 10 Result -- 11 Conclusion -- 12 Future Scope -- References -- Prompt Engineering for the Automated Generation of Weaving Pattern -- 1 Introduction -- 2 Literature Review -- 3 Weave Pattern Representation -- 3.1 Draft Notation -- 3.2 Point Paper Drafting -- 3.3 Weaving Information Format -- 3.4 Threaded Diagrams -- 3.5 Code Representation -- 4 Prompt Engineering -- 5 Proposed Method -- 6 Experimental Result -- 7 Conclusion -- References -- Blood Disease Detection System Based on Haemogram Report Using Decision Tree Algorithm -- 1 Introduction -- 2 Literature Survey -- 3 Machine Learning -- 3.1 Supervised Learning -- 3.2 Unsupervised Learning -- 3.3 Reinforcement Learning -- 4 Blood Diseases. 4.1 Anemia -- 4.2 Thrombocytopenia -- 4.3 Hemochromatosis -- 4.4 Leukocytosis -- 5 Proposed Methodology -- 5.1 Data Set -- 5.2 Techniques Used by Disease Detection System -- 5.3 Disease Detection System Using Haemogram Report Dataset -- 6 Experiment Results -- 7 Conclusion and Future Work -- References -- Development of SPR Sensor-Based System for Copper Ion Detection in Water -- 1 Introduction -- 2 Experimental Setting -- 2.1 Synthesis of Gold Nanoparticles -- 2.2 Preparation of Copper Univar Solution -- 2.3 Observation of SPR Peak Shift in UV Spectroscopy -- 2.4 Design of Optoelectronic Setup -- 3 Results and Discussions -- 3.1 Study of Plasmonic Shifts Using UV Spectroscopy -- 3.2 Electronic Outcome of SPR Variation -- 4 Conclusion -- References -- Digital Technologies for Future -- Generation of YuBraj Twist and YuBrajTwest Weaves -- 1 Introduction -- 2 YumnamBrajarani (YuBraj) TwistWeaves -- 3 Generation of YuBrajTwest Weaves -- 4 Experimental Results -- 5 Conclusions -- References -- Maintenance and Performance of Solar Water Pump in a Rural Agricultural Community: A Case Study -- 1 Introduction -- 2 Significance of Solar Water Pumps in Addressing Water Scarcity Challenges, Promoting Sustainable Irrigation Practices in Rural Areas -- 3 Methodology -- 4 Result and Discussion -- 5 Conclusion -- References -- Integrative Analysis of Cancer Gene Expression Using Bio-Inspired Algorithms and Machine Learning: Identification of Key Genes -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Dataset Description -- 3.2 Proposed Methodology -- 3.3 Proposed Algorithm for Gene Selection -- 4 Results and Discussion -- 4.1 Occurrences in NB Classifier -- 4.2 Occurrences in NC Classifier -- 4.3 Occurrences in kNN Classifier -- 4.4 Occurrences in SVM Classifier -- 4.5 Occurrences in RF Classifier -- 5 Conclusion -- References. Potential of AI in Pharma: Bridge the Gap Between Data and Therapeutics -- 1 Historical Perspective -- 1.1 Drug Designing -- 1.2 Artificial Intelligence in Drug Designing -- 2 Artificial Intelligence and Machine Learning -- 2.1 Supervised Learning -- 2.2 Unsupervised Learning -- 2.3 Reinforcement Learning -- 2.4 Semi-supervised Learning -- 2.5 Deep Learning -- 3 AI in Drug Discovery -- 3.1 Target Identification and Validation -- 3.2 Molecule Design and Optimization -- 3.3 Clinical Trials and Personalized Medicine -- 4 AI and ML in Predicting Drug Properties -- 4.1 Harnessing Big Data for Drug Discovery -- 4.2 Accelerating Drug Screening and Optimization -- 4.3 Predicting Drug Safety and Side Effects -- 4.4 Personalized Medicine and Targeted Therapies -- 5 Proposed AI and ML Algorithm's -- 5.1 Data Preprocessing -- 5.2 Target Screening Prediction -- 5.3 3D Structure Prediction -- 5.4 Simulated Structure Prediction -- 6 Challenges of AI and ML in Pharmaceuticals -- 6.1 Data Quality and Accessibility -- 6.2 Model Interpretability and Explainability -- 6.3 Regulatory and Ethical Considerations -- 6.4 Overcoming the Validation Gap -- 6.5 Integration with Existing Workflows -- References -- A PC-Based Ultrasound Color Doppler Performance Improvement Using Intel® IPPs -- 1 Introduction -- 2 Simulation of Flow Phantom Using FIELD-II -- 3 Imaging of Simulated Flow Phantom Using MATLAB -- 4 US Imaging Implementation in QT Using Conventional C++ and Intel IPPs -- 5 Results -- 6 Conclusion -- References -- Deep Reach Centrality: An Innovative Network Centrality Metric Grounded in Distance and Degree, with Its Performance Analysis Applied to the SARS-CoV-2 Protein-protein Interaction Network -- 1 Introduction -- 2 Basic Definition -- 3 Proposed Work -- 3.1 Deep Reach Centrality and Its Significance -- 3.2 Deep Reach Centrality Matrix. 3.3 Similarity and Dissimilarity Analysis of the Proposed Centrality Measure 'Deep Reach Centrality' with 13 Existing Degree-Based and Distance-Based Centrality Measures. |
| Record Nr. | UNINA-9910874687103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICEDT-2024, Volume 1 / / edited by Isaac Woungang, Sanjay Kumar Dhurandher, Yumnam Jayanta Singh
| Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICEDT-2024, Volume 1 / / edited by Isaac Woungang, Sanjay Kumar Dhurandher, Yumnam Jayanta Singh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (556 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Statistics Cooperating objects (Computer systems) Internet of things Computer networks - Security measures Computational Intelligence Artificial Intelligence Cyber-Physical Systems Internet of Things Mobile and Network Security |
| ISBN | 981-9736-01-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Artificial Intelligence, Machine Learning, Big Data, Data Analytics -- Optimization in Ensemble Model for Weather Prediction -- 1 Introduction -- 2 Materials and Methods -- 2.1 The Dataset -- 2.2 Extreme Gradient Boosting (XGBoost) -- 2.3 Optimization Techniques Used in XGBoost -- 3 Results and Discussion -- 4 Conclusion -- References -- Spectrum Efficient Resource Allocation Using Deep Neural Network in Underlay Cognitive Radios -- 1 Introduction -- 2 Related Work -- 3 System Design -- 3.1 System Model -- 3.2 Problem Formulation -- 4 Proposed Scheme -- 4.1 Motivation -- 4.2 Assumptions -- 4.3 Proposed SERA Model -- 4.4 SERA Functioning -- 5 Performance Evaluation -- 5.1 System Model Configurations -- 5.2 Results -- 6 Conclusion -- References -- Fruit and Vegetable Recognition System Using Deep Transfer Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Preparation -- 4 Experimental Results and Discussion -- 4.1 Experimental Setup and Data in Used -- 4.2 Comparison and Analysis of Results -- 5 Conclusion -- References -- A Comprehensive Investigation on the Performance of Traditional Machine Learning in Comparison to Deep Learning for Early Cardiovascular Disease Diagnosis -- 1 Introduction -- 2 Related Work -- 3 Approaches Used for the Study -- 4 Discussions and Analysis -- 5 Conclusion and Future Work -- References -- Hybrid-Multi-channel Deep Neural Network for Fake News Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Datasets -- 3.2 Proposed Multi Channel Deep Neural Network Model -- 4 Hyper Tuning the Parameters of the Model -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References.
Integrated Gaussian-GLCM Butterfly Optimization with CNN (IGGBOCNN): A Hybrid Approach for Ovarian Cancer Classification in Medical Image Analysis -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Enhancing Brain Tumor Detection Through Deep Learning: A Comparative Study of CNN and Pre-trained VGG-16 Models -- 1 Introduction -- 2 Background and Motivation -- 3 Related Work -- 4 Standard Methodology Used -- 4.1 Dataset Description -- 4.2 Classification Model -- 4.3 Performance Evaluation Matrices -- 5 Results and Discussions -- 6 Conclusion and Future Work -- References -- Towards Development of Machine Learning Models for Fake News Detection and Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Empirical Results and Analysis -- 4.1 Setting up Experiments -- 4.2 Comparison and Analysis of Results -- 5 Conclusion -- References -- A Study on Measures Based on Overlapping Area for Interval Data -- 1 Introduction -- 2 Preliminaries on Interval Data -- 2.1 Interval -- 2.2 Representations of Intervals -- 2.3 Arithmetic of Intervals -- 3 Materials and Methods -- 3.1 Measures Used for Interval Data -- 3.2 Analysis of Desirable Properties of Different Measures Used for Interval Data -- 4 Results and Discussion -- 5 Conclusion -- References -- Application of Secure Data Transmission by Integrating QR Code with Visual Cryptography -- 1 Introduction -- 1.1 QR Code -- 1.2 Motivation -- 2 Literature Review -- 3 Proposed Methodology -- 4 Experimental Result and Performance Analysis -- 4.1 Merits of Proposed Methodology -- 5 Conclusion -- References -- Event Uncertainty for Twitter Data Using Thematic Context Vector -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Experimentation -- 5 Results -- 6 Conclusion -- References. A Brief Study of Prompting Techniques for Reasoning Tasks -- 1 Introduction -- 2 Related Work -- 2.1 LLM -- 2.2 Dataset -- 2.3 Basics of Prompt Principles -- 3 Prompting Techniques -- 3.1 Standard Few-Shot -- 3.2 Chain of Thought (CoT) -- 3.3 Zero Shot -- 3.4 Zero Shot CoT -- 3.5 Self-consistency -- 3.6 Least to Most -- 3.7 Active Prompt -- 3.8 Program of Thought (PoT) -- 3.9 Progressive Hint Prompting (PHP) -- 3.10 Plan and Solve (PS) -- 3.11 Tree of Thought (ToT) -- 3.12 Self-verification -- 4 Prompt- Example {Question-Solution} Task -- 5 Conclusion -- References -- Comparative Analysis of Negative Customer Review of Payment Apps: A Data Mining Approach -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Pre-processing -- 3.2 Exploratory Data Analysis -- 3.3 Word Cloud Analysis -- 4 Data Analysis -- 4.1 Data Pre-processing -- 4.2 Exploratory Data Analysis (EDA) -- 4.3 Word Cloud Analysis (WCA) -- 5 Results and Discussion -- 5.1 Word Cloud Analysis Results for GPay -- 5.2 Word Cloud Analysis Results for Paytm -- 5.3 Word Cloud Analysis Results for PhonePe -- 6 Conclusion -- 6.1 Annexure -- References -- A Transformer-Based Approach for Fruit Spoilage Identification -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Dataset Preparation -- 3.2 Proposed Transformer-Based Spoilage Diagnosis System -- 4 Results and Discussions -- 4.1 Results of ViT for 10 Epochs -- 4.2 Results of ViT for 20 Epochs -- 4.3 Comparison with Reported Work -- 5 Conclusion -- References -- A Study on Performance of Mathematics, Programming, and Practical Courses Among Female Students from Technical Education Using a Deep-Learning-Based Interpretability Framework -- 1 Introduction -- 2 Related Works -- 3 Proposed Works -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References. Efficient Handwritten English Word Detection with Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Problem Definition -- 4 Methodology -- 4.1 Data Collection -- 4.2 Preprocessing -- 4.3 Model Design -- 4.4 Training, Testing, and Validation -- 4.5 Post-Processing -- 4.6 Evaluation Metrics -- 5 Future Work -- 6 Conclusion -- References -- MuBDA: Multimodal Biometric Data Analysis for Gender Classification Using Deep Learning Techniques -- 1 Introduction -- 2 Related Works -- 2.1 Motivation -- 2.2 Significance of the Work -- 3 Proposed Methodology -- 3.1 Transfer-Learning Architectures -- 4 Experimental Results -- 4.1 Dataset Description -- 4.2 Implementation Details -- 4.3 Results and Discussion -- 4.4 Performance Evaluation Methods -- 4.5 Evaluation Results -- 4.6 Comparative Analysis -- 5 Conclusion -- References -- Audio Data Feature Extraction for Speaker Diarization -- 1 Introduction -- 2 Results -- 3 Implementation Process -- 3.1 Implementation of MFCC -- 3.2 Implementation of Male Spectrogram -- 3.3 Implementation of Spectral Contrast -- 3.4 Implementation of Chroma Feature -- 3.5 Implementation Steps for Tonnetz Feature -- 3.6 Implementation Steps for Zero-Crossing Feature -- 3.7 Implementation of Rhythm Feature -- 4 Methodology -- 4.1 Mel-Frequency Cepstral Coefficients (MFCCs) -- 4.2 Mel-Spectrogram -- 4.3 Spectral Contrast -- 4.4 Chroma Features -- 4.5 Tonnetz -- 4.6 Zero-Crossing Rate -- 4.7 Rhythm Features -- 5 Conclusion -- References -- Cyber Security and Forensic, Network and Mobile Security -- Anomalous Network Packet Detection: A Review of Attacks, Datasets and Techniques -- 1 Introduction -- 2 Review Paper Framework -- 3 Intrusion Detection: Background Analysis -- 3.1 Categories -- 3.2 Implementation -- 3.3 Challenges -- 4 Performance Metrics -- 4.1 Detection Mechanisms -- 5 Review of Attacks -- 6 Comprehensive Review. 6.1 Period 1: Before 2000 -- 6.2 Period 2: 2001-2010 -- 6.3 Period 3: 2011-2015 -- 6.4 Period 4: 2016-2019 -- 6.5 Period 5: 2020-2023 -- 7 Review of Standard Datasets -- 8 Conclusion -- References -- Energy-Efficient Encounter, Buffer and Contact Duration-Based Routing Protocol in Opportunistic Networks -- 1 Introduction -- 2 Related Works -- 3 Proposed Energy-Efficient-EBC (E-EBC) Model -- 4 Simulation Results -- 5 Conclusion -- References -- IoT Under Attack: Designing Techniques for Mitigating Energy-Oriented DDOS Attacks on Smart Home Networks -- 1 Introduction -- 1.1 Motivation -- 1.2 Problem Statement -- 1.3 Research Objective -- 2 Background -- 2.1 Internet of Things (IoT) Network -- 2.2 Distributed Denial of Services (DDOS) Attack -- 2.3 Energy-Oriented DDoS (E-DDoS) Attack -- 3 Related Work -- 3.1 Defenses for Traditional DDoS Attacks -- 3.2 Existing Approaches for E-DDoS Attacks -- 3.3 Limitations of Current Solutions -- 3.4 Research Gaps -- 4 Proposed Smart Power Management System -- 4.1 System Design and Architecture -- 4.2 Key Components -- 4.3 Detection and Mitigation Process -- 5 Implementation and Evaluation -- 5.1 Simulation Setup -- 5.2 Attack Modeling -- 5.3 Defense Mechanism -- 5.4 Analyzing Reasons of Proposed System -- 5.5 Quantitative Results -- 6 Summary of Work -- 7 Future Directions -- 8 Conclusion -- References -- SEPA-CRT: SDN Enabled Direction Based Privacy-Preserving Authentication Scheme Using Chinese Remainder Theorem (CRT) for VANET -- 1 Introduction -- 2 Related Works -- 3 Proposed Scheme -- 3.1 System Initialization -- 3.2 Authentication -- 4 Security Analysis -- 4.1 Informal Security Analysis -- 4.2 Formal Security Analysis -- 5 Performance Analysis -- 6 Conclusion -- References -- IoT Network Intrusion Detection Using Federated Learning -- 1 Introduction -- 1.1 Motivation -- 1.2 Problem Definition. 2 Related Work. |
| Record Nr. | UNINA-9910878058703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICE-DT 2023 / / edited by Sri Niwas Singh, Saurov Mahanta, Yumnam Jayanta Singh
| Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology : NICE-DT 2023 / / edited by Sri Niwas Singh, Saurov Mahanta, Yumnam Jayanta Singh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (724 pages) |
| Disciplina | 060 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Quantitative research Internet of things Computer networks - Security measures Computational Intelligence Artificial Intelligence Data Analysis and Big Data Internet of Things Mobile and Network Security |
| ISBN | 981-9916-99-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Quality of Service (QoS)-driven Edge Computing and Smart Hospitals: A Vision, Architectural Elements and Future Directions -- Real Time Face Mask Detector with Multi-class Classification using Deep Neural Networks -- Data Correlation Analysis to Curb Road Accidents -- Speech Recognition via Machine Learning in Recording Studio -- Clustering-Based Filter Pruning Approach for Efficient ConvNets -- SMS and E-mail Spam Classification using Natural Language Processing and Machine Learning -- Detecting Malware in Windows Environment Using Machine Learning -- Fake News Detection using LSTM Based Deep Learning Approach and Word Embedding Feature Extraction -- Safe Distance Monitoring for COVID-19 Using YOLOv3 Object Recognition Paradigm -- Machine Learning Based Depth of Anesthesia Estimation using Spectral and Statistical Features of EEG. |
| Record Nr. | UNINA-9910734861403321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||