Autore	Chinara Suchismita
Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (600 pages)
Disciplina	006.3
Altri autori (Persone)	TripathyAsis Kumar LiKuan-Ching SahooJyoti Prakash MishraAlekha Kumar
Collana	Lecture Notes in Networks and Systems
Soggetto topico	Computational intelligence Artificial intelligence Machine learning Blockchains (Databases) Internet of things Computational Intelligence Artificial Intelligence Machine Learning Blockchain Internet of Things
ISBN	981-9912-03-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	NS3-based Performance Assessment of Routing Protocols AODV, OLSR and DSDV for VANETs -- A Novel Blockchain Based Smart Contract for Real estate Management -- A Review on VM Placement Scheme using Optimization Algorithms -- Use of Blockchain to Prevent Distributed Denial-of-service (DDoS) Attack: A Systematic Literature Review -- CS-based Energy-Efficient Service Allocation in Cloud.
Record Nr.	UNINA-9910734882003321

Autore	Kar Binayak
Edizione	[1st ed.]
Pubbl/distr/stampa	Singapore : , : Springer, , 2025
Descrizione fisica	1 online resource (224 pages)
Disciplina	004.36
Altri autori (Persone)	TripathyAsis Kumar TengWei-Chung SahooJyoti Prakash ObaidatMohammad S
Collana	Lecture Notes in Networks and Systems Series
ISBN	981-9667-18-6
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9911022353903321

Autore	Nanda Umakanta
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (482 pages)
Disciplina	004.36
Altri autori (Persone)	TripathyAsis Kumar SahooJyoti Prakash SarkarMahasweta LiKuan-Ching
Collana	Lecture Notes in Networks and Systems
Soggetto topico	Computational intelligence Artificial intelligence Machine learning Blockchains (Databases) Internet of things Computational Intelligence Artificial Intelligence Machine Learning Blockchain Internet of Things
ISBN	9789819735235 9789819735228
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Preface -- Contents -- Editors and Contributors -- OSNR Monitoring for QPSK and QAM in Fiber-Optic Networks Using Machine Learning -- 1 Introduction -- 2 Proposed Method -- 3 Support Vector Machine Algorithms -- 4 Simulation Results and Discussion -- 5 Conclusion and Future Research -- References -- Classification of Star and Galaxy Objects Utilizing Machine Learning Techniques and Deep Neural Networks -- 1 Introduction -- 2 Dataset -- 2.1 Processing Data -- 3 Machine Learning Approach for Star Versus Galaxy Classification -- 4 Convolutional Neural Networks-(CNN) -- 4.1 Convolutional Layers -- 4.2 Implementation Details -- 5 Result and Analysis -- 6 Conclusion -- References -- Probabilistic Forecasting Analysis on Electric Load Systems -- 1 Introduction -- 2 Review of Literature -- 3 Description of the Model -- 4 Sources of Data Generation -- 5 Computational Analysis and Results -- 5.1 Representation of ELG Units -- 5.2 Correlation Analysis -- 5.3 Bivariate Normal Distribution -- 5.4 Linear Regression and ARIMA Models -- 5.5 Electricity Consumption Charges -- 6 Conclusion -- References -- Smart City Survey on AIoT Using Machine Learning, Deep Learning, and Its Computing Tools -- 1 Introduction -- 2 IoT-Oriented Perspective -- 2.1 Smart Infrastructure -- 2.2 Air Management -- 2.3 Traffic Management -- 2.4 Waste Management -- 3 ML-Orient Perspective -- 3.1 Infrastructure -- 3.2 Air Management -- 3.3 Traffic Analysis -- 3.4 Waste Management -- 4 Deep Learning-Oriented Perspective -- 4.1 Supervised Learning -- 4.2 Unsupervised Learning -- 4.3 Reinforcement Learning -- 5 Computing Tools for Smart City -- 5.1 Cloud Computing -- 5.2 Fog Computing -- 5.3 Edge Computing -- 6 Conclusion -- References -- Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks -- 1 Introduction -- 1.1 Contributions Made in This Research. 2 Literature Study on Energy Harvesting -- 3 System Architecture -- 3.1 Hardware Requirements -- 3.2 Circuit Implementation -- 3.3 Energy Source: The PV Cell -- 3.4 Energy Storage Structures -- 3.5 Power Management Protocols -- 4 Lifetime Evaluation with Solar Energy Harvester -- 4.1 System Implementation and Analysis -- 5 Conclusion -- References -- Enhancing Real Estate Price Prediction in Smart Cities: A Comparative Analysis of Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 3 Limitation -- 4 Methodology -- 4.1 Feature Engineering -- 4.2 Model Description and Predicting the Value -- 5 Results -- 6 Conclusion -- 7 Future Work -- References -- Real-Time AI-Based Face-Mask Detection -- 1 Introduction -- 2 Proposed Design Approach -- 2.1 Custom Dataset Gathering -- 2.2 Data Augmentation for Best Results -- 2.3 Training Model -- 3 Methodology -- 3.1 YOLO Algorithm -- 3.2 MobileNetV2 -- 4 Results and Discussion -- 5 Conclusion -- References -- A Logical Model for Multiple People Activity Recognition Using Non-intrusive Sensors for Geriatric Care -- 1 Introduction -- 2 Related Work -- 3 Problem Scenario -- 4 Logical FHMM for Multiple People Activity Recognition -- 4.1 Solution Overview -- 5 Experiments -- 5.1 Experimental Setup -- 6 Conclusion -- References -- From Sea to Table: A Blockchain-Enabled Framework for Transparent and Sustainable Seafood Supply Chains -- 1 Introduction -- 2 Related Work -- 3 Seafood Supply Chain and Blockchain -- 4 Conceptual Blueprint -- 4.1 The Flow of Code Implementation -- 5 Result -- 6 Discussion -- 7 Conclusion and Future Scope -- References -- Distributed State Estimation for GPS Navigation: The Correntropy Extended Kalman Filter Approach -- 1 Introduction -- 2 Literature Study -- 3 Correntropy Extended Kalman Filter -- 4 Results and Discussion -- 5 Conclusion -- References. Nayantara: Crime Analysis from CCTV Footage Using MobileNet-V2 and Transfer Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 System Architecture -- 3.2 Detection Model -- 3.3 Web Application -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Data Preprocessing -- 4.3 Working of the Detection Algorithm -- 4.4 CNN Model -- 4.5 Results -- 5 Conclusion -- References -- Bird Detection in Microlight Aircraft Strip Using YOLOv8for Adventure Tourism -- 1 Introduction -- 2 Bigdata Analytics Unlocks for Tourism Industry -- 2.1 Why is Microlight Aircraft Safety Important? -- 3 Literature Review -- 4 Implementation and Discussion -- 4.1 Methodology Used -- 4.2 Dataset Used -- 5 Performance Analysis and Results -- 6 Conclusion -- References -- A Graphical Tuning Method-Based Robust PID Controller for Twin-Rotor MIMO System with Loop Shaping Technique -- 1 Introduction -- 2 Preliminaries -- 2.1 Description of Twin-Rotor MIMO System -- 2.2 Design of Decouplers -- 2.3 FOPDT Model -- 3 upper H Subscript normal infinityHinfty Controller -- 4 Results an Discussions -- 5 Conclusion -- References -- Signature Verification Using Deep Learning: An Empirical Study -- 1 Introduction -- 2 Proposed Method -- 2.1 Data Acquisition -- 2.2 Pre-processing -- 2.3 Feature Extraction -- 2.4 Model and Algorithm Hyperparameters -- 2.5 Optimizing Algorithm -- 2.6 Batch Normalization and Dropout -- 3 Results -- 3.1 Performance Stats -- 3.2 Evaluation Metrics -- 4 Discussion -- 5 Conclusion -- References -- An Intelligent and Automated Machine Learning-Based Approach for Heart Disease Prediction and Personalized Care -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Data Pre-processing -- 3.3 Handling Imbalanced Classes -- 3.4 Data Normalization -- 3.5 Feature Relevance Analysis -- 4 Results and Discussion. 4.1 Comparative Analysis -- 5 Conclusion -- References -- Parkinson's Disease Diagnosis Through Deep Learning: A Novel LSTM-Based Approach for Freezing of Gait Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Data Pre-processing -- 3.3 LSTM Architecture -- 4 Results and Discussion -- 4.1 Comparative Analysis -- 5 Conclusion -- References -- Polarity Detection of Online News Articles Using Deep Learning Techniques -- 1 Introduction -- 1.1 Deep Learning and Polarity Detection -- 2 Literature Survey -- 2.1 RNN with GRU -- 2.2 RNN with LSTM -- 2.3 Bidirectional RNN -- 2.4 CNN -- 2.5 Dynamic Dictionaries -- 3 Proposed Method -- 4 Experiment and Result Discussion -- 5 Conclusion and Future Work -- References -- Harnessing ResNet50 and EfficientNetB5 for Detection of Diabetic Retinopathy Using Explainable AI -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Results -- 4.1 Model Performance -- 4.2 Interpretation of Result -- 4.3 Model Explainability -- 5 Conclusion -- References -- A Grey Wolf and Rough Set Hybrid Approach for the Detection of Chronic Kidney Disease -- 1 Introduction -- 2 Schematic Representation of Proposed Research -- 3 Experimental Research on Chronic Kidney Disease -- 4 Result Analysis -- 4.1 Proposed GWRSO Data Analysis -- 5 Conclusion -- References -- Efficient Rice Disease Classification Using Intelligent Techniques -- 1 Introduction -- 2 Methodology -- 3 Data Description -- 3.1 Bacterial Leaf Blight -- 3.2 Brown Spot -- 3.3 Blast -- 3.4 Tungro -- 4 Experimental Setup and Performance Analysis -- 5 Conclusion -- References -- Maize Crop Yield Prediction Using Machine Learning Regression Approach -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Preprocessing -- 2.3 Feature Selection -- 2.4 Data Transformation -- 2.5 Model Building Algorithms -- 2.6 Evaluation Metrics. 3 Experiment and Results -- 3.1 Model Building, Training, and Testing -- 3.2 Dimension Reduction Using Principal Component Analysis (PCA) -- 3.3 Comparison of the Results -- 3.4 Identification of Main Features -- 3.5 Discussion of the Findings -- 4 Conclusion -- References -- Mode Division Multiplexing-Based Passive Optical Networks for High-Capacity Data Rate via Radio Over Fiber Technology -- 1 Introduction -- 2 Proposed Mode Division Multiplexing Passive Optical Network -- 3 Mode Division Multiplexing Layout Simulation by Using OptiSystemV20 -- 4 Simulation Design of MDM with QAM and DSPK -- 5 Simulation Design of MDM for Noise Removal Systems -- 6 Result and Discussion -- 7 Conclusion -- References -- Enhancing Urban Connectivity: Free Space Optics as a Resilient Backup Link for Fiber Networks in Urban Environments -- 1 Introduction -- 2 Proposed Block Diagram of FSO-NRZ System Model -- 3 Result and Discussion -- 4 Conclusion -- References -- Integrating ANSYS Simulation and Machine Learning Techniques for Thermo-Mechanical Analysis of PCBs -- 1 Introduction -- 2 Problem Statement and Methodology -- 3 Results and Discussions -- 4 Conclusions -- References -- Automation of Quality Assessment Procedures in School Education -- 1 Introduction -- 2 Software Tool for Quality Evaluation: Design and Software Prototype Development -- 3 Experiments -- 4 Conclusions -- References -- The FGSM Attack on Image Classification Models and Distillation as Its Defense -- 1 Introduction -- 2 Related Work -- 3 Theoretical Background -- 4 Results of the FGSM Attack -- 4.1 The Classification Results in the Absence of the FGSM Attack -- 4.2 The Classification Results in the Presence of the FGSM Attack -- 5 Distillation for Defense Against the FGSM Attack -- 6 Conclusion -- References -- An Experimentation of Firefly Algorithm Using a Different Set of Objective Functions. 1 Introduction.
Record Nr.	UNINA-9910878980403321

Edizione	[1st ed. 2021.]
Pubbl/distr/stampa	Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021
Descrizione fisica	1 online resource (525 pages)
Disciplina	004.36
Collana	Lecture Notes in Networks and Systems
Soggetto topico	Computational intelligence Machine learning Electrical engineering Computational Intelligence Machine Learning Communications Engineering, Networks
ISBN	981-15-4218-X
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Customized Score-Based Security Threat Analysis in VANET -- Blackhole Detection and Mitigation Using Active Trust in Wireless Sensor Networks -- Power Allocation Based QoS Guarantees in Millimeter Wave Enabled Vehicular Communication -- A Multi-Objective Optimization Scheduling Algorithm in Cloud Computing -- Addressing Security and Computation Challenges in IoT Using Machine Learning -- Survey of Blockchain Applications in Database Security -- A Comparative Analysis of Accessibility and Stability of Diﬀerent Networks -- Analysis and Prediction of the Survival of Titanic Passengers Using Machine Learning -- Rising Star Evaluation Using Statistical Analysis in Cricket -- A Comparative Study of Genetic Algorithm and Neural Network Computing Techniques Over Feature Selection.
Record Nr.	UNINA-9910484584903321

Autore	Chowdhary Chiranji Lal
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (225 pages)
Disciplina	005.3
Altri autori (Persone)	TripathyAsis Kumar WuYulei
Collana	Studies in Computational Intelligence
Soggetto topico	Application software Telecommunication Artificial intelligence Computer and Information Systems Applications Communications Engineering, Networks Artificial Intelligence
ISBN	981-9774-94-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	CIRSH: Building Critical Infrastructure model and Real-Time applications towards sustainable goals in Smart and Secured Healthcare systems using IIoT -- Blockchain And IOT Integration For Financial Sector Revolution -- Neural Networks for Cloud-Based Industrial Internet of Things -- Deep Learning approach towards Green IIOT -- Deep Learning Approach towards Green IIOT -- Introduction to Industrial IoT and Smart Computing Techniques -- Optimization of IIoT Wireless Communications using Interference Analysis -- Green Industrial Internet of Things: An Extensive Survey on Recycling Strategies for Greener Future of Industrial Operations -- AI-based Cybersecurity opportunities & issues on IIoT -- Sustainable and smart healthcare based IIoT tools -- Contribution of Python to Improving Efficiency in Artificial Intelligence and Advancing Automation Capabilities -- Industry 4.0: The Role of Industrial IoT, Big Data, AR/VR, and Blockchain in the Digital Transformation.
Record Nr.	UNINA-9910983390403321