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[null,"1.","Record Nr.",null,"UNINA9910766892903321"]
[null,null,"Autore",null,"Murthy B. K"]
[null,null,"Titolo",null,"Decision Intelligence : Proceedings of the International Conference on Information Technology, InCITe 2023, Volume 1 / / edited by B. K. Murthy, B. V. R. Reddy, Nitasha Hasteer, Jean-Paul Van Belle"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9789819959976"]
[{"$nulls":4},"9819959977"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (416 pages)"]
[null,null,"Collana",null,"Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 1079"]
[null,null,"Disciplina",null,"004"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Quantitative research"]
[{"$nulls":4},"Telecommunication"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Analysis and Big Data"]
[{"$nulls":4},"Communications Engineering, Networks"]
[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 -- Contents -- About the Editors -- A Radio Frequency-Based Energy Harvesting Model for IoMT Device -- 1 Introduction -- 1.1 Contribution -- 2 Related Works -- 3 Proposed Model -- 3.1 RFEH Model -- 3.2 RFEH-IoMT Model -- 4 Performance Analysis -- 5 Conclusion -- References -- Cancer Hotspot Identification and Analysis: A Scan Statistics Approach -- 1 Introduction -- 1.1 Research Problem -- 1.2 Related Work -- 2 Relevance -- 3 Objective -- 4 Data Design and Processing -- 5 Methodology Adopted -- 5.1 Hotspot Analysis -- 5.2 Welch's T-test -- 6 Spearman's Rank Correlation Coefficient (rs) -- 7 Results and Discussion -- 7.1 Hotspot Detection -- 7.2 Descriptive Approach -- 8 Conclusion -- 9 Limitations -- 10 Scope for Future Research -- References -- An Artificial Voice Box that Makes Use of Unconventional Methods of Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Neuro Decoder -- 3.2 Artificial Voice Box -- 4 Conclusion -- References -- State-of-Art Review on Medical Image Classification "]
[{"$nulls":4},"Techniques -- 1 Introduction -- 2 Image Pre-processing Techniques for Medical Images -- 2.1 Image Filtering -- 2.2 Segmentation -- 3 Feature Selection and Feature Extraction -- 4 Classification Techniques -- 4.1 Using Traditional Classifiers -- 4.2 Using Deep Learning Algorithms -- 5 Conclusion -- References -- Prediction of Loan Approval of Customers Based on Credit Score Using Machine Learning -- 1 Introduction -- 2 Motivation -- 3 Literature Survey -- 4 Methodology -- 4.1 Dataset -- 4.2 Credit Score -- 4.3 Pre-processing -- 4.4 Logistic Regression -- 4.5 K-Nearest Neighbour -- 4.6 Decision Tree -- 4.7 Random Forest -- 4.8 Linear Discriminant Analysis -- 5 Result Analysis -- 6 Conclusion and Future Scope -- References."]
[{"$nulls":4},"Strategies for the Adoption of AI Technologies in the South African Wine and Fruit Industries -- 1 Introduction -- 2 Literature Review -- 2.1 AI Technologies for the SA Agricultural Sector -- 2.2 Barriers and Challenges of Adopting AI Technologies in Agriculture -- 3 Research Design and Methodology -- 4 Findings and Discussion -- 4.1 Current AI Technologies in Agricultural Processes -- 4.2 Challenges of Adopting AI Technologies -- 4.3 Strategies to Facilitate the Adoption of AI Technologies in Agriculture -- 5 Conclusion -- References -- Real-Time Facial Mask Detection Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Model -- 3.3 Training -- 4 Result -- 5 Limitations -- 6 Conclusion and Future Scope -- References -- SSATS-Enhancement of Semantic Similarity of Abstractive Text Summarization Using Transformer -- 1 Introduction -- 2 Key Contributions -- 3 Literature Survey -- 4 Proposed Methodology -- 5 Experiments -- 5.1 Dataset -- 5.2 Metrics -- 6 Results and Discussion -- 7 Conclusion and Future Work -- References -- Semantic Segmentation of Optical Satellite Images -- 1 Introduction -- 2 Evaluation Metric -- 3 Related Work -- 4 Comparison Between State-of-the-Art Methods -- 5 Future Work and Challenges -- 6 Conclusion -- References -- Human Gender and Age Estimator Using Local and Global Features with Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Data Acquisition -- 3.2 Pre-processing -- 3.3 Face Detection -- 3.4 Adaboost Algorithm -- 3.5 Feature Extraction -- 3.6 HOG Descriptors-Histogram of Oriented Gradients -- 3.7 LBP-Local Binary Pattern -- 3.8 Feature Reduction Using PCA -- 3.9 Principle Component Analysis (PCA) -- 3.10 SVM-Support Vector Machine Classifier -- 4 Experimental Results -- 4.1 Training and Testing -- 5 Conclusion -- References."]
[{"$nulls":4},"Predictive Analysis of Neurodegenerative and Chronic Fatigue Disease -- 1 Introduction -- 1.1 Literature Review -- 2 Methodology -- References -- An Automatic Early Alert System on Detecting Dozing Driver -- 1 Introduction -- 2 Related Research Work -- 3 Proposed Methodology -- 3.1 Facial Landmark Identification -- 3.2 Eye Closing Detection -- 3.3 Yawning Detection -- 3.4 Alert -- 4 Experimental Results -- 5 Conclusion -- References -- Reversible Image Steganography to Achieve Effective PSNR -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Reversible Image Steganography Methods for Compressed Images -- 3.2 Reversible Steganography Methods for Coded Images -- 3.3 High-Capacity Techniques for Reversible Image Steganography -- 3.4 Performance Study for Reversible Image Steganography -- 4 Experimental Results -- 5 Conclusion -- References -- EDA and Predicting Customer's Response for Cross-Sell Vehicle Insurance -- 1 Introduction -- 2 Literature Review -- 2.1 Why ML in Insurance -- 2.2 Related Work -- 3 Data Collection and Understanding -- 4 Work Flow and Framework of the Proposed Analysis -- 5 Data Preparation -- 6 Techniques Employed -- 7 Results and Discussion -- 8 Conclusion and Future "]
[{"$nulls":4},"Work -- References -- A Study of Feature-Based and Pixel-Level Image Fusion Techniques -- 1 Introduction -- 2 Pixel Fusion -- 3 Feature Level -- 4 Discrete Wavelet Transform -- 5 C-Mean Fuzzy Clustering -- 6 The Proposed Model -- 7 Performance Measures -- 7.1 Standard Deviation (SD) -- 7.2 Entropy (En) -- 7.3 Signal-to-Noise Ratio (SNR) -- 7.4 Deviation Index (DI) -- 8 Results -- 9 Conclusion -- References -- Catch Your Session, Track Your Pulse e-Health Service Using Blockchain -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Proposed System -- 5 Architecture System -- 5.1  Patient information management Module -- 5.2 Slot Booking Module."]
[{"$nulls":4},"6 Results and Analysis -- 7 Conclusion -- References -- Ansuni Baat-A Bridge to Sign Language Communication -- 1 Introduction -- 1.1 Aim and Features -- 1.2 Background of the Study -- 2 Literature Review -- 3 System Analysis -- 3.1 Software Requirement Specification -- 3.2 Flow Diagram for the System -- 4 Methodology -- 4.1 Front-end -- 4.2 Back-end -- 4.3 Database -- 5 Result -- 6 Conclusion -- 7 Future Scope -- References -- A Review of Deep Learning Algorithms for Early Detection of Oral Mouth Cancer -- 1 Introduction -- 2 Research Approach -- 2.1 Research Question -- 2.2 Data Source -- 2.3 Paper Selection Criteria -- 3 Findings -- 4 Future Challenges -- 5 Conclusion -- References -- Malware Detection Using Deep Learning -- 1 Literature Review -- 2 Linear Regression -- 3 Types of Malwares -- 3.1 Virus -- 3.2 Worm -- 3.3 Trojan Horse -- 3.4 Spyware -- 3.5 Rootkit -- 4 Malware Detection -- 4.1 Anomaly Detection -- 4.2 Signature Detection -- 4.3 Specification-Based Detection -- 5 Botnet -- 5.1 How Botnet Attacks IoT Devices -- 5.2 Feature Selection -- 6 Algorithms Used -- 6.1 Logistic Regression -- 6.2 F1 Score -- 6.3 Epoch -- 6.4 KERAS -- 6.5 Standardization -- 7 Attributes of Datasets Used in the Project -- 7.1 KNN -- 7.2 Decision Tree -- 7.3 ANN -- 7.4 Logistic Regression -- 7.5 Naïve Bayes -- 7.6 SVM -- 8 Conclusion -- References -- Automatic Title Generation with Attention-Based LSTM -- 1 Introduction -- 1.1 Motivation and Justification of Automatic Title Generation -- 1.2 Contribution of the Proposed Work -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Sequence-to-Sequence (Seq-to-Seq) Model -- 3.2 Seq-to-Seq Model Components -- 4 Experimental Setup and Result -- 4.1 Data Collection -- 4.2 Data Preprocessing -- 4.3 Train the Processed Data Using the Seq-to-Seq Model -- 5 Conclusion of the Proposed Work and Future Work -- References."]
[{"$nulls":4},"COVID-19 (COV-19) Spreading Diagnoses by Feature Representation Method Through Visual Learning (FVisL-CoV19) -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 3.1 Feature Illustration of Visible-Learning-Methodology (FVisL-CoV19) -- 3.2 CoV19 Spreading Diagnoses Algorithm -- 4 Results and Discussions -- 4.1 Dataset Evaluation -- 4.2 Evaluation Metrics -- 4.3 Results -- 5 Conclusions -- References -- Alzheimer's Disease Classification Using Deep Learning Models -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Input -- 3.2 Data Pre-processing -- 3.3 Model Building -- 4 Results and Discussion -- 5 Conclusion -- References -- Brain Pathology Detection Using Convolutional Neural Network from EEG Signal -- 1 Introduction -- 2 Related Works -- 3 Methodology and Design -- 4 Implementation and Results -- 5 Conclusion -- References -- CNN-Based Adversarial Embedding for Image Steganograpy -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 3.1 Existing Methods -- 3.2 Proposed Methods -- 4 Result and Discussion -- 5 Conclusion -- References -- Machine Learning Approaches for Entity Extraction from Citation Strings -- 1 Introduction -- 2 Related Work -- 2.1 Non-machine Learning based Approaches -- "]
[{"$nulls":4},"2.2 Machine Learning based Approaches -- 2.3 Limitations of Machine Learning based Approaches -- 2.4 Combination of Machine Learning and non-Machine Learning methods -- 3 Comparative Analysis -- 4 Conclusion -- 5 Future Scope -- References -- A Survey on Brain Tumor Segmentation with Missing MRI Modalities -- 1 Introduction -- 2 Methodologies -- 2.1 Common Latent Space -- 2.2 Knowledge Distillation Network -- 2.3 Mutual Information Maximization -- 3 Dataset -- 4 Evaluation Metrices -- 5 Experimental Analysis -- 6 Conclusion and Future Work -- References."]
[{"$nulls":4},"Deep Learning Based Segmentation Approach for Cervical Cancer Detection Using Pap Smears."]
[null,null,null,"Sommario/riassunto","This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks, and intelligence, decision-making, and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry."]