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Record Nr. |
UNINA9910857792203321 |
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Autore |
Sharma Harish |
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Titolo |
Communication and Intelligent Systems : Proceedings of ICCIS 2023, Volume 2 |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore Pte. Limited, , 2024 |
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©2024 |
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ISBN |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (462 pages) |
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Collana |
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Lecture Notes in Networks and Systems Series ; ; v.968 |
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Altri autori (Persone) |
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ShrivastavaVivek |
TripathiAshish Kumar |
WangLipo |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Intro -- Preface -- Contents -- Editors and Contributors -- Multilingual Speech Recognition: An In-Depth Review of Applications, Challenges, and Future Directions -- 1 Introduction -- 1.1 Automatic Speech Recognition -- 1.2 Multilingual Speech-to-Text Conversion -- 2 Techniques and Approaches -- 2.1 Acoustic Model Sharing -- 2.2 Code-Switching Models -- 2.3 Language-Specific Models -- 3 Feature Extraction Techniques and Toolkit/Software -- 4 Applications of Multilingual Speech Recognition -- 5 Challenges and Limitations -- 6 Future Directions -- 7 Conclusions -- References -- Performance Evaluation of Job Shop Scheduling Problem Using Proposed Hybrid of Black Hole and Firefly Algorithms -- 1 Introduction -- 1.1 Proposed Approaches for Solving Scheduling Problem -- 2 Related Work -- 3 Job Shop Scheduling Problem -- 4 Proposed Methodology -- 4.1 Firefly Algorithm -- 4.2 Black Hole Algorithm -- 5 Hybrid Approach -- 6 Computational Results -- 6.1 Discussion on the Obtained Results -- 7 Conclusion and Future Works -- References -- Machine Learning and Healthcare: A Comprehensive Study -- 1 Introduction -- 2 Machine Learning in Healthcare -- 2.1 Random Forest -- 2.2 Gradient Boosting -- 2.3 Convolutional Neural Networks (CNNs) -- 2.4 Recurrent Neural Networks (RNNs) -- 3 Application of ML in Healthcare -- 3.1 Cancer Detection -- 3.2 Diabetes Detection -- 3.3 Heart Disease Detection -- |
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3.4 Autism Spectrum Disorder Detection -- 3.5 Parkinson's Disease Detection -- 4 Assessment of Model Performance -- 4.1 Accuracy -- 4.2 Precision -- 4.3 F1-Score -- 4.4 Specificity -- 4.5 Mean Squared Error (MSE) -- 5 Challenges and Limitations -- 6 Discussion -- 6.1 Research Gaps -- 6.2 Findings -- 7 Conclusion -- References -- Evolutionary Algorithms for Fibers Upgrade Sequence Problem on MB-EONs -- 1 Introduction -- 1.1 Studied Problem -- 2 Related Works -- 2.1 MB-EONs. |
2.2 MB-EON Upgrade Problem -- 3 Problem Formulation -- 3.1 Notations -- 3.2 Assumptions -- 3.3 Concept of Network Upgrade -- 3.4 Objective Function -- 4 Proposed Algorithms -- 4.1 Genetic Algorithm -- 4.2 Simulated Annealing -- 5 Simulation Results -- 6 Conclusions -- References -- Exploring the Potential of Deep Learning Algorithms in Medical Image Processing: A Comprehensive Analysis -- 1 Introduction -- 2 Literature Review -- 2.1 Deep Learning Techniques in MIA -- 2.2 Applications of DL in Medical Imaging -- 2.3 Emerging Trends and Future Side -- 3 Research Challenges -- 4 Methodology for Literature Review and Data Collection -- 4.1 Literature Collection and Selection -- 4.2 Data Extraction and Categorization -- 5 DL Applications in MIP -- 6 Discussion -- 7 Applications and Use Cases -- 7.1 COVID-19 Detection -- 8 Future Scope -- 9 Conclusion -- References -- Comparative Analysis of Image Enhancement Techniques: A Study on Combined and Individual Approaches -- 1 Introduction -- 2 Literature Survey -- 2.1 Related Work -- 3 Overview of Methods -- 4 Proposed Methodology -- 5 Basis of Analysis -- 6 Comparative Analysis -- 7 Conclusion -- References -- Smishing: A SMS Phishing Detection Using Various Machine Learning Algorithms -- 1 Introduction -- 2 Motivation -- 3 Related Work -- 4 Proposed Work -- 5 Implementation and Result Analysis -- 6 Conclusion and Future Work -- References -- Convolution Neural Network (CNN)-Based Live Pig Weight Estimation in Controlled Imaging Platform -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Process Flow -- 3.2 Model Architecture -- 3.3 Experimental Details -- 4 Results and Discussion -- 5 Conclusion -- References -- A Novel Image Encryption Technique Based on DNA Theory and Chaotic Maps -- 1 Introduction -- 2 Background -- 2.1 Chaos Theory -- 2.2 DNA Encoding Technique -- 3 Proposed Method. |
3.1 Encryption -- 3.2 Decryption -- 4 Results and Discussion -- 4.1 Information Entropy (Ien) -- 4.2 Histogram Analysis -- 4.3 Correlation Analysis -- 5 Conclusions -- References -- An Empirical Study on Comparison of Machine Learning Algorithms for Eye-State Classification Using EEG Data -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Experimental Results -- 4.1 Dataset Description -- 4.2 Data Preprocessing -- 4.3 Algorithm Implementation -- 5 Conclusion -- References -- Decoding the UK's Stance on AI: A Deep Dive into Sentiment and Topics in Regulations -- 1 Introduction -- 2 Literature Studies -- 3 Data and Methodology -- 4 Results -- 5 Discussions and Conclusions -- References -- Latest Trends on Satellite Image Segmentation -- 1 Introduction -- 1.1 Satellite Imaging and Remote Sensing -- 1.2 Spectral Bands -- 1.3 Multispectral and Hyperspectral Imaging -- 1.4 Datasets: Challenges and Opportunities -- 2 Relevant Studies in Image Segmentation -- 3 Techniques Used in Satellite Image Segmentation -- 3.1 Transductive SVM -- 3.2 U-Net -- 3.3 Random Walker -- 4 Future Scope in Satellite Imaging Segmentation -- 5 Conclusion -- References -- Landmark Detection Using Convolutional Neural Network: A Review -- 1 Introduction -- 2 Review Process -- 2.1 Data Collection and Preparation -- 2.2 CNN's Network Architecture -- 2.3 Training |
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the CNN Dataset -- 2.4 Landmark Localization -- 2.5 Post-preprocessing -- 3 Background Study -- 3.1 Early Approaches to Landmark Detection -- 3.2 CNN-Based Landmark Detection -- 3.3 Popular CNN Architectures -- 3.4 Data Augmentation and Preprocessing -- 3.5 Loss Functions and Training Strategies -- 3.6 Benchmark Datasets -- 3.7 Domain-Specific Applications -- 4 Literature Review -- 4.1 Landmark Detection Method -- 4.2 CNN Algorithms -- 4.3 Optimization Techniques -- 4.4 Applications -- 5 Result Analysis. |
5.1 Periodic 3D CNN for Mitral Annulus Segmentation and Anatomical Orientation Detection in TEE Images [8] -- 5.2 Deep Convolutional Neural Networks for Sagittal Cervical Spine Landmark Point Detection in X-Ray Images [9] -- References -- An Efficient Illumination Invariant Tiger Detection Framework for Wildlife Surveillance -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 EnlightenGAN -- 3.2 YOLOv8 -- 4 Results and Discussion -- 5 Conclusion -- References -- An Innovative Frequency-Limited Interval Gramians-Based Model Order Reduction Method Using Singular Value Decomposition -- 1 Introduction -- 1.1 Literature Review -- 1.2 Paper Organization and Contribution -- 2 Methodology -- 2.1 Algorithm -- 3 Numerical Analysis and Simulation -- 4 Conclusion -- References -- Contrast Enhancement of Medical Images Using Otsu's Double Threshold -- 1 Introduction -- 2 State of the Art -- 3 Methodology -- 3.1 Segmentation Using Otsu's Double Threshold Method -- 3.2 Weighted Distribution Model -- 3.3 Histogram Equalization -- 3.4 Adaptive Gamma Correction Process -- 3.5 Homomorphic Filtering -- 4 Experimental Results -- 5 Comparative Analysis -- 5.1 Qualitative Analysis -- 5.2 Quantitative Analysis -- 6 Conclusion -- References -- Recognizing Hate Speech on Twitter with Feature Combo -- 1 Introduction -- 2 Literature Survey -- 2.1 Hate Speech -- 2.2 Stance Features -- 2.3 Similarity Measure-Based Features -- 2.4 Research Gaps -- 3 Methodology -- 3.1 Dataset and Pre-processing -- 3.2 Feature Generation -- 3.3 Model Architecture -- 4 Results and Evaluation -- 5 Conclusion and Future Enhancements -- References -- Agriculture Yield Forecasting via Regression and Deep Learning with Machine Learning Techniques -- 1 Introduction -- 1.1 Research Contributions -- 1.2 Article Organization -- 2 Literature Review -- 3 Proposed Work -- 3.1 Study Area. |
3.2 Data Sources -- 3.3 Methods -- 4 Discussion -- 5 Conclusion and Future Scope -- References -- Performance Comparison of M-ary Phase Shift Keying and M-ary Quadrature Amplitude Modulation Techniques Under Fading Channels -- 1 Introduction -- 2 Proposed Method -- 2.1 BER of Digital Modulations Over AWGN -- 2.2 BER of Digital Modulations over Rayleigh Fading Channel -- 2.3 BER of Digital Modulations Over Nakagami Fading Channel -- 2.4 BER of Digital Modulations over Rician Fading Channel -- 3 Result and Discussions -- 3.1 Results -- 3.2 Discussion -- 4 Conclusion -- References -- Conception of Indian Monsoon Prediction Methods -- 1 Introduction -- 1.1 Present Monsoon Scenario -- 2 Related Work -- 3 Categorization of Monsoon Forecasting Techniques -- 3.1 Methodology-Based Monsoon Forecasting -- 3.2 Duration-Based Monsoon Forecasting -- 4 Comparative Analysis -- 4.1 Comparative Analysis of Methodology-Based Forecasts -- 4.2 Comparative Analysis of Duration-Based Forecast -- 4.3 Comparative Analysis of Machine Learning Algorithms in Statistical Approach -- 4.4 Comparative Analysis of Deep Neural Networks in Statistical Approach -- 5 Conclusion -- References -- AI-Integrated Smart Toy for Enhancing Cognitive, Emotional, and Motor Skills in Toddlers -- 1 Introduction -- |
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2 Literature Review -- 2.1 Transformation of the Human Brain from Birth -- 2.2 Emotion-Cognitive-Motor Development -- 2.3 Activities for Early Childhood Development -- 2.4 Use of Technology for Tracking Toddler Development -- 3 Design Methodology -- 3.1 Online Survey -- 3.2 Competitor Benchmarking Study -- 3.3 Contextual Inquiry -- 4 Conceptualization and Ideation -- 5 Working of the Proposed Design Concept -- 5.1 Usability Testing -- 6 Discussion and Conclusion -- 7 Limitations and Future Scope -- References -- Thumbnail Personalization in Movie Recommender System -- 1 Introduction. |
2 Literature Review. |
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