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[null,"1.","Record Nr.",null,"UNINA9910743689003321"]
[null,null,"Autore",null,"Choudrie Jyoti"]
[null,null,"Titolo",null,"IOT with Smart Systems : ICTIS 2023, Volume 2 / / edited by Jyoti Choudrie, Parikshit N. Mahalle, Thinagaran Perumal, Amit Joshi"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9789819937615"]
[{"$nulls":4},"9819937612"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (660 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems, , 2367-3389 ; ; 720"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Telecommunication"]
[{"$nulls":4},"Cooperating objects (Computer systems)"]
[{"$nulls":4},"Internet of things"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Communications Engineering, Networks"]
[{"$nulls":4},"Cyber-Physical Systems"]
[{"$nulls":4},"Internet of Things"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface ICTIS 2023 -- Contents -- Editors and Contributors -- The Current State of Art-Indian Unleavened Flat Bread Cooking -- 1 Introduction -- 2 Survey of Existing Methods of Chapati and Other Foods Cooking with New Techniques -- 3 Material and Methods of Dough Preparation, Chapati Making -- 4 Challenges and Future Scope -- 5 Database and Software/hardware Tools -- 6 Conclusion -- References -- An Efficient Abstractive Summarization of Research Articles Using Pegasus Model -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 5 Conclusions and Future Enhancements -- References -- Performance Analysis of Classification Techniques in Heart Disease Prediction -- 1 Introduction -- 2 Related Work -- 3 Implementation Details -- 3.1 Dataset Information -- 3.2 Classification Methods -- 4 Experimental Results -- 4.1 Correlation Results -- 4.2 Performance Analysis -- 5 Conclusion -- References -- Early Phase Identification and Detection for Plant Poor Growth in Rural Areas: "]
[{"$nulls":4},"A Survey of the State of the Art -- 1 Introduction -- 2 Related Work -- 3 Issues and Challenges -- 4 Proposed Work -- 4.1 Parametric Evaluation of Related Work -- 5 Methodology Enriching Datasets -- 5.1 RoCoLe Dataset -- 5.2 BRACOL Dataset -- 5.3 Rice Leaf Blight Dataset Rice Leaf Blight Dataset -- 5.4 Plant Pathology Dataset Plant Pathology Dataset -- 5.5 Citrus Dataset -- 6 Conclusion -- 7 Discussion -- References -- Pothole Detection and Road Condition Updation on Google Maps -- 1 Introduction -- 2 System Design -- 2.1 Pothole Detection -- 2.2 Vehicle Tracking -- 2.3 Updating the Database -- 2.4 Rendering Database on Google Maps -- 3 Implementation -- 3.1 Training Phase -- 3.2 Server-Side -- 3.3 Client-Side -- 3.4 Algorithm -- 3.5 Flowchart -- 4 Result and Analysis -- 5 Conclusion -- References."]
[{"$nulls":4},"Fetal Cardiac Detection Using Deep Learning from Echocardiographic Image-A Survey -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Methods for Cardiographic Image Analysis -- 4 Deep Learning Framework for Disease Prediction -- 5 Experimental Results -- 6 Conclusion -- References -- Analysing the Factor Influencing Post COVID-19 Experience Through User-Generated Content: Luxury Hotel in India -- 1 Introduction -- 2 Literature Review -- 3 System Description -- 3.1 Data Pre-processing -- 3.2 Sentiment Analysis -- 3.3 Theme Identification -- 4 Methodology -- 5 Analysing the Theme -- 6 Result -- 6.1 Positive Sentiments -- 6.2 Negative Sentiments -- 7 Conclusion -- References -- Text Detection and Recognition from the Scene Images Using RCNN and EasyOCR -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Text Detection -- 3.2 Text Recognition -- 4 Experimentation and Results -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Result Analysis -- 5 Conclusion -- References -- The Important Role of Industry Data Connectivity Using M2M and IoT Applications for Processing and Analysis -- 1 Introduction -- 2 Devices to Networks and Platforms -- 2.1 Data Collection -- 2.2 Data Communication -- 3 Strengthen the Data Management Platform -- 3.1 Centralized Device Management -- 3.2 High-Performance Data Management -- 3.3 Enhanced Administration and Security -- 3.4 Flexible Application Development -- 4 Data Transfer with MQTT -- 4.1 Topic and Quality of Service (QoS) -- 4.2 Results -- 5 Discussion -- 6 Conclusion -- 7 Future Study -- References -- Classification of Non-proliferative Diabetic Retinopathy in Terms of Dark and Bright Lesions Using Multi-layered Perceptron (MLP) -- 1 Introduction -- 2 Methodology -- 2.1 Separation of Mask from Fundus -- 2.2 Removal of Optic Disc -- 2.3 Extraction of Retinal Blood Vessels -- 2.4 Microaneurysms."]
[{"$nulls":4},"2.5 Hemorrhages -- 2.6 Exudates -- 2.7 Cotton Wool Spots -- 3 Result -- 4 Conclusion -- References -- An Efficient Saliency Detection Using Wavelet Fusion -- 1 Introduction -- 1.1 Related Work -- 2 Proposed Methodology -- 2.1 Haar Wavelet Transform for Edge Enhancement and Noise Removal -- 2.2 Edge (Curve) Detection -- 2.3 Convolutional Neural Networks CNN -- 3 Experimental Results -- 4 Conclusion -- References -- Segmentation of Brain Tumor Images Using Morphological Reconstruction -- 1 Introduction -- 2 Literature Review -- 3 Existing System -- 3.1 Pre-processing -- 3.2 Skull Stripping -- 3.3 Segmentation -- 4 Proposed Model -- 4.1 Input -- 4.2 Gray Scaling of Images Using OpenCV -- 4.3 Thresholding -- 4.4 Watershed Algorithm for Image Segmentation -- 4.5 Compute Morphological Operations -- 5 Implementation and Results -- 6 Conclusion -- 7 Future Scope -- References -- Navigation Planning for Efficient Area Covering for Surface Cleaning -- 1 Introduction -- 2 Proposed Method -- 2.1 Deadlock Detection and Escaping -- 2.2 Task of Environment "]
[{"$nulls":4},"Modeling -- 3 Empirical Analysis -- 3.1 Performance Parameter -- 3.2 Implementation -- 3.3 Tested in an Unknown Environment -- 4 Results -- 5 Conclusion -- References -- Pathfinding Visualizer: A Survey of the State-of-Art -- 1 Introduction -- 1.1 Pathfinding Algorithms and Visualizer Overview -- 2 Literature Review -- 2.1 Overview of Existing Pathfinding Visualizers -- 2.2 Visualizing Pathfinding Algorithms: Importance of Visual AI&amp -- DS in Learning -- 3 Pathfinding Visualizer -- 3.1 Understanding the Pathfinding Visualizer -- 3.2 Design of the Pathfinding Visualizer -- 3.3 Implementation Details, Including Programming Languages and Tools Used -- 4 Results -- 4.1 Details on the Implementation and Functionality of Algorithms in the Pathfinding Visualizer -- 5 Discussion."]
[{"$nulls":4},"5.1 Discussion on How the Visualizer Contributes to a Better Understanding of Pathfinding Algorithms -- 6 Conclusion -- 7 Future Work -- Bibliography -- A Study on Cyber Security and its Challenges in India -- 1 Introduction -- 2 Literature Review -- 3 Background -- 4 Proposing Guidelines for Cyber Safe India -- 4.1 Need for a Correct Legal Framework in Order to Remove Ambiguities from Data Protection Laws -- 4.2 Changes in Current 2013 Cyber Security Policy -- 5 Need for Cyber Security Education in School -- 6 Current Scenario of Cyber Security in India -- 7  Conclusion -- References -- Implementation of AES Algorithm -- 1 Introduction -- 2 Block Diagram -- 2.1 Encryption Process -- 2.2 FPGA Implementation -- 3 Methodology -- 3.1 Byte Substitution -- 3.2 Shiftrows -- 3.3 MixColumns -- 3.4 Add Round Keys -- 3.5 Inverse Subbytes -- 4 Implementation of AES on FPGA -- 5 Results -- 5.1 AES Encryption and Decryption Xilinx Simulated Results -- 5.2 AES Encryption Results on FPGA -- 6 Conclusion -- References -- Feature Extractor Techniques for Alzheimer's Predictive Model in Brain Imaging -- 1 Introduction -- 2 Related Work -- 3 Experimental Framework -- 4 Observations and Results -- 5 Conclusions and Future Research -- References -- User Preference Recommendation System and Analytics for News Articles -- 1 Introduction -- 2 Overview -- 2.1 Problem Statement -- 2.2 Objectives -- 3 Literature Survey -- 4 Recommendation Systems -- 4.1 Content-Based Filtering -- 4.2 Collaborative Filtering -- 4.3 Hybrid Approach -- 5 Proposed Design -- 5.1 Introduction -- 5.2 Flow of the System -- 6 System Implementation -- 6.1 Data Generation -- 6.2 Model Formation -- 6.3 Visualisation -- 7 Result -- 8 Conclusion and Future Work -- References -- Design and Development of Focus Controller for the 50/80 cm ARIES Schmidt Telescope -- 1 Introduction -- 2 Focus Mechanism."]
[{"$nulls":4},"3 Embedded Controller -- 3.1 Motion Control -- 3.2 Telemetry -- 3.3 Firmware -- 3.4 Operation -- 4 GUI Software -- 4.1 Software Architecture -- 4.2 Setup Dialog Box -- 4.3 Focus Dialog Box -- 5 System Performance -- 6 Conclusion -- References -- Predicting Fishing Effort: Data Collection for Machine Learning Model Using Scientific and Indigenous Method -- 1 Introduction -- 2 Methods -- 2.1 Azure Machine Learning -- 3 Datasets -- 3.1 Area -- 3.2 Types of Data -- 4 Data Pre-processing -- 5 Model Selection and Parameter Tuning -- 6 Result -- 7 Conclusions -- References -- A Secure Data Dynamics and Public Auditing Scheme for Cloud Storage -- 1 Introduction -- 2 Literature Review -- 3 Existing Method -- 4 Proposed Method -- 4.1 Algorithm -- 5 Testing Results -- 6 Conclusion -- References -- Model Design to Analyse Coronary Artery Disease Using Machine Learning Techniques (MDACADMLT) -- 1 Introduction -- 2 Literature Review -- 3 System Model -- 3.1 Logistic Regression -- 3.2 K-Nearest Neighbor -- 3.3 Support Vector Machine -- 3.4 Naïve Bayes -- 3.5 Decision Tree -- 3.6 Random Forest -- 4 Experimental Results "]
[{"$nulls":4},"-- 5 Conclusion -- References -- Impact of Geo-positioning Information in Limiting Forest Fire Damage -- 1 Overview of the Forest Fire Damage Around the World -- 2 A Rapidly Expanding Area of Research -- 3 Early Detection Forest Fire Systems Design -- 4 Simulation and Results -- 5 Conclusion -- References -- Automatic Music Melody Generation Using LSTM and Markov Chain Model -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Long Short-Term Memory (LSTM) -- 3.2 Markov Chain Model -- 4 Mathematical Model -- 4.1 Long Short-Term Memory (LSTM) -- 4.2 Markov Chain Model -- 5 Results and Discussion -- 5.1 Long Short-Term Memory (LSTM) -- 5.2 Markov Chain Model -- 6 Limitations -- 7 Future Scope -- 8 Conclusion -- References."]
[{"$nulls":4},"Federated Learning Approaches to Diverse Machine Learning Model: A Review."]
[null,null,null,"Sommario/riassunto","This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Seventh International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2023), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike."]