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Proceedings of International Conference on Computational Intelligence : ICCI 2024 / / edited by Mukesh Saraswat, Ritu Tiwari, Mario Pavone, Mukesh Zaveri
| Proceedings of International Conference on Computational Intelligence : ICCI 2024 / / edited by Mukesh Saraswat, Ritu Tiwari, Mario Pavone, Mukesh Zaveri |
| Autore | Saraswat Mukesh |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (717 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
TiwariRitu
PavoneMario ZaveriMukesh |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Machine learning Big data Telecommunication Computational Intelligence Artificial Intelligence Machine Learning Big Data Communications Engineering, Networks |
| ISBN | 981-9645-39-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Photovoltaic Substation Voltage Forecasting Optimization Using Modified Metaheuristic and Gated Recurrent Unit Networks -- Enhancing Neural Architecture Search: A Comparative Optimization Framework -- Deep Learning-Driven Blood Vessel Segmentation for Early Detection and Classification of Diabetic Retinopathy -- A Comprehensive Hybrid Metaheuristic Algorithm: Leveraging Coyote and Chimp Optimization for Optimal Performance -- Modifying Metaheuristic Optimizers for Hyperparameter Tuning of Machine Learning Models Tackling Malicious Node Detection in Blockchain Networks -- Innovative Skin Disease Diagnosis: A Hybrid Learning Framework for Skin Cancer Detection -- Depth Estimation for Autonomous Vehicles with Enhanced Perception -- Hybridizing CNN with an LSTM Back-End for Univariate Rainfall Forecasting -- Enhancing ECG Abnormality Detection using Image Processing and Transfer Learning Approach -- Enhancing Transformer Efficiency through Active Learning and Knowledge Distillation -- Enhancing Dyslexia Classification using Feature Selection and Ensemble Learning Models on Eye-Tracking Data -- Classification of Arrhythmia Data and QRS Peak Detection for Feature Extraction using SVM Classifiers -- Effects of Environmental and Agronomic Factors on Crop Yield at Different Phenological Stages -- Classification Models for Predicting Accident Severity and the Impact of Factors Contributing to Severity -- A Weighted Deep Learning Approach to Identify Nucleic Acid-Binding Proteins -- Predictive Analytics in Financial Transactions: A Comparative Study for Customer Risk Assessment and Revenue Prediction -- Enhancing Renewable Energy Planning: Machine Learning-based Solar Radiation Prediction -- From Text to Treatment: Predicting Mental Health Needs through Language Analysis and Machine Learning -- A Systematic Review of Deep Learning Techniques for Enhancing Public Safety through Video Surveillance -- Particle Swarm Optimization Algorithm for Quasi-total Roman Domination -- Automatic Detection of Erythrocytes for Sickle Cell Disease Identification Based on YOLOv8n Network -- Exploring the Effectiveness of Collaborative and Content-Based Filtering Techniques in Movie Recommendation Systems with Explainable AI -- Deep Learning-Based Classification of Lung, Kidney, and Breast Cancer Tumor Tissues using Whole Slide Images from the TCGA Database -- Foot Pressure and 3D Skeleton based Multimodal Approach for Pathological Gait Classification -- A Study on Generative Adversarial Network (GAN), Neural Style Transfer (NST) and Autoencoders -- MTL-SDCNN-Based Pre-and Post-Harvest Disease Prediction of Wheat and Paddy Crops -- Mining Association Rules among Biophysical Water Parameters using Improved Frequency Pattern Growth Algorithm -- Deep Learning Approach for Detection and Classification of Alzheimer’S Disease -- Advancements in Voice Pathology Detection: A Comprehensive Bibliometric and Visual Network Analysis -- Railway Track Crack Detection System -- Enhancing Security with a Custom Authenticator App and Comprehensive Zero Trust Architecture -- Super-Resolution of MRI Images using Deep Learning for Enhanced Medical Diagnostics using Altair Rapidminer Studio -- Exloring the Role of ICT Tools for Autism Spectrum Disorder Support: A Survey-Based Study -- Advanced Data Analytics for Organ Donation Tracking using AI and Blockchain -- Adaptive Trust Based Secure Routing Protocol for Wireless Adhoc Network -- Stochastic Particle Swarm Optimization with Bayesian Inference for Hyperparameter Optimization in CNN for Image Classification -- MultiBand Microstrip Patch Antenna for C-Band Applications -- Thoracic Disease Detection and Classification Using Chest X-rays: A Deep Learning Approach with ResNet-50 and DenseNet-121. |
| Record Nr. | UNINA-9911021968903321 |
Saraswat Mukesh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of International Conference on Computational Intelligence : ICCI 2023 / / edited by Ritu Tiwari, Mukesh Saraswat, Mario Pavone
| Proceedings of International Conference on Computational Intelligence : ICCI 2023 / / edited by Ritu Tiwari, Mukesh Saraswat, Mario Pavone |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (714 pages) |
| Disciplina | 006.3 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Machine learning Big data Telecommunication Computational Intelligence Artificial Intelligence Machine Learning Big Data Communications Engineering, Networks |
| ISBN | 981-9735-26-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling the Optical Gain of Erbium-Doped Fiber Amplifiers in Strong Cross-Gain Modulation Regime Employing Artificial Neural Networks -- The fuzzy logic model for machining data selection -- Hybrid Weighted Ensemble Model for Early Diagnosis of Parkinson Disorder Using Voice Features -- Advancements In CT Image Reconstruction: An Exploration of Conventional and Deep Learning-Driven Approaches -- Machıne Learnıng-Assısted Food Qualıty Index Determinatıon For Healthcare -- A Survey on Detection of Man-in-the-Middle Attack in IoMT Using Machine Learning Techniques -- An Application of Deep Learning Using Leaky Rectified Linear Unit and Hyperbolic Tangent in Non Destructive Testing -- Binary Probing: A Novel Approach for Efficient Hash Table Operations -- AI in Mechanical Design: Generate Specific Components -- Solution Of ECG Inverse Problem Using Artificial Neural Network -- The Impact of Artificial Intelligence Technology in learning Zones -- From Stateless to Stateful: A Comparative Analysis of Stateful Serverless Computing Frameworks -- An Online Learning and Problem Solving (OLPS) EEG Database for Mental Workload Assessment and Its Initial Benchmark Classification Performance -- Convolutional Neural Networks-Based Evaluation of Disease Severity in Grape Plant Using Colored and Grayscale Leaf Images -- A Parallel Non-Dominated Sorting Genetic Algorithm-II for Vehicle Routing Problem in Supply Chain -- Massively Parallel GPU Implementation of The TLBO Algorithm for Solving High-Dimensional Systems of Nonlinear Equations -- Support Vector Machine Based Classification for Telemedicine Based on ECG Data -- Concept of Application of Heuristic Models for SMART Management in the Medium-Sized Industrial Enterprise -- Sentiment Analysis Using Ensemble of Deep Learning Models -- A Comparative Study and Review on Load Balancing Algorithms in Hybrid Cloud-Fog Computing -- Optimized Advancements in Next-Generation Recommendation Engines for Personalized Experiences on OTT Platforms -- Shapley Additive Explanations for Machine Emotion Intelligence in CNNs -- Simulation And Performance Evaluation of WSN Based Wild Animal Protection Architecture Using NS2 -- Numerical simulations using SCAPS-ID software on variation of ETL, HTL and absorbing layers of contemporary organic solar cells with neoteric DOE Approach as a soft computing tool. |
| Record Nr. | UNINA-9910874694603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of International conference on computational intelligence : Icci 2021 / / Ritu Tiwari, Mario F. Pavone, Ranjith Ravindranathan Nair, editors
| Proceedings of International conference on computational intelligence : Icci 2021 / / Ritu Tiwari, Mario F. Pavone, Ranjith Ravindranathan Nair, editors |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (475 pages) |
| Disciplina | 006.3 |
| Collana | Algorithms for intelligent systems |
| Soggetto topico | Computational intelligence |
| ISBN | 981-19-2126-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- 1 Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and Unstructured GPS-Denied Environments -- 1 Introduction -- 2 Related Work -- 3 System Description -- 4 Multi-task Unified Visual Perception Block -- 5 The Complete Workflow -- 6 Experiments -- 7 Conclusion -- References -- 2 Neural Network-Based Motion Control Algorithm for Perching Nano-Quadrotor on Outdoor Vertical Surface -- 1 Introduction -- 2 Quadrotor Dynamic Modelling and Problem Formulation -- 2.1 Problem Statement -- 3 Design of ChNN-Based Control Algorithm -- 4 Experimental Results -- 5 Conclusion -- References -- 3 An Intelligent Game Theory Approach for Collision Avoidance of Multi-UAVs -- 1 Introduction -- 1.1 Motivation -- 1.2 Contribution -- 2 Problem Formulation -- 3 Quadrotor Model -- 3.1 Quadrotor Dynamics -- 4 Game Theory-Based Nash Equilibrium -- 4.1 Nash Equilibrium Points for x Position -- 5 Stability Analysis -- 6 Simulation Results -- 6.1 Case 1 -- 6.2 Case 2 -- 7 Conclusion and Future Scope -- References -- 4 Dynamics and Control of Quadrupedal Robot -- 1 Introduction -- 2 Robot Design and Kinematics -- 2.1 Body Design of the Robot -- 2.2 Leg Design of the Robot -- 2.3 Stability Analysis of the Robot -- 2.4 Weight Ratio on the Legs of the Robot -- 3 Electronics System Working -- 4 Control System of the Robot -- 4.1 Gait Strategy Used for Motion -- 4.2 Motion Planning -- 4.3 PID Algorithm for the Robot -- 4.4 Obstacle Detection and Overcoming Algorithm -- 5 Comparison -- 6 Result -- References -- 5 Disturbance Observer-Based Sliding Mode Controller with Mismatched Disturbance for Trajectory Tracking of a Quadrotor -- 1 Introduction -- 2 Quadrotor Model and Problem Formulation -- 3 Proposed Disturbance Observer-Based Control Design -- 4 Stability Analysis -- 5 Results -- 6 Conclusion -- References.
6 Multi-robot Formation Control Using Integral Third-Order Super-Twisting Controller in Cyber-Physical Framework -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 2.1 Physical Model -- 2.2 Cyber Modeling -- 2.3 Problem Formulation -- 3 Path Planning and Controller Design -- 3.1 Path Planning Control -- 3.2 Sliding Manifold Design -- 3.3 Control Law Design -- 3.4 Stability Analysis -- 4 Time-Varying Formation Control Under CPS Framework -- 5 Simulation Results -- 6 Conclusions -- References -- 7 RFE and Mutual-INFO-Based Hybrid Method Using Deep Neural Network for Gene Selection and Cancer Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 RNGS Phase -- 3.2 CC Phase -- 3.3 Experimental Setup -- 3.4 About Dataset -- 4 Results -- 5 Conclusions and Future Work -- References -- 8 Biased Online Media Analysis Using Machine Learning -- 1 Introduction -- 2 Related Works -- 2.1 Ideological Bias Detection -- 2.2 Language Bias Detection -- 2.3 Political Text Bias Detection -- 2.4 News Articles Bias Detection -- 3 Proposed Methods and Discipline -- 3.1 Data Collection -- 3.2 Data Labelling -- 3.3 Data Pre-processing -- 3.4 Model Selection -- 4 Experimental Setup -- 4.1 Data Representation Vector -- 4.2 Model Setup -- 4.3 Result and Analysis -- 5 Conclusion -- References -- 9 Coverless Information Hiding: A Review -- 1 Introduction -- 2 Background Information and Similar Work -- 2.1 Traditional Image Steganography -- 2.2 Steganalysis -- 2.3 Coverless Information Hiding -- 2.4 Progress in the Past Five years -- 3 Fundamental Framework -- 3.1 Coverless Information Hiding Based on Robust Image Hashing [12] -- 3.2 A Novel Coverless Information Hiding Method Based on the Most Significant Bit of the Cover Image [18] -- 3.3 Coverless Image Steganography Based on Image Segmentation [1]. 3.4 Coverless Information Hiding Based on the Generation of Anime Characters [19] -- 3.5 Coverless Image Steganography Based on Jigsaw Puzzle Image Generation [8] -- 3.6 Coverless Real-Time Image Information Hiding Based on Image Block Matching and Dense Convolutional Network [16] -- 3.7 Coverless Image Steganography Based on Discrete Cosine Transform and Latent Dirichlet Allocation (LDA) Topic Classification [11] -- 3.8 Coverless Image Information Hiding Based on Generative Model [20] -- 3.9 Coverless Information Hiding Based on DCGAN [10] -- 4 Performance Evaluation -- 5 Current Key Challenges -- 6 Conclusion and Future Work -- References -- 10 A Review on Transliterated Text Retrieval for Indian Languages -- 1 Introduction -- 2 Transliteration Concepts -- 3 Classification of Transliteration -- 4 Transliteration for the Indian Languages -- 4.1 Evaluation Metrics -- 4.2 Generation-Based Transliteration for the Indian Languages -- 4.2.1 Basic Rule-Based System -- 4.2.2 Basic Rule-Based System with Enlarged Alphabet -- 4.2.3 Character Sequence Modeling (CSM) -- 4.2.4 CRT-Based Transliteration -- 4.2.5 SMT-Based Transliteration -- 4.2.6 Serial Compositional Transliteration Systems -- 4.2.7 Parallel Compositional Transliteration Systems -- 4.3 Mining-Based Transliteration for the Indian Languages -- 4.3.1 Mining Comparable Data (Mint) -- 5 Result and Discussion -- 6 Conclusion -- References -- 11 Learning-Based Smart Parking System -- 1 Introduction -- 2 Analysis and Design -- 3 Proposed Work and Implementation -- 3.1 Parking Slot Detection -- 3.2 Automatic Parking -- 4 Results and Discussion -- 5 Conclusion -- References -- 12 Automated Identification of Tachyarrhythmia from Different Datasets of Heart Rate Variability Using a Hybrid Deep Learning Model -- 1 Introduction -- 2 Material and Methods -- 2.1 ECG Data Records. 2.2 Convolution Neural Network -- 2.3 Long Short-Term Memory -- 2.4 Hybrid Deep Model Architecture -- 3 Result -- 4 Discussion -- 5 Conclusion -- References -- 13 Automatic Pathological Myopia Detection Using Ensemble Model -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Methodology -- 3.2 Datasets -- 3.3 Preprocessing -- 3.4 Proposed Designed -- 4 Experiments and Results -- 4.1 First Model -- 4.2 Second Model -- 4.3 Third Model -- 4.4 Ensembled Model -- 5 Comparative Study -- 6 Conclusion and Future Scope -- References -- 14 Revolutionary Solutions for Comprehensive Assessment of COVID-19 Pandemic -- 1 Introduction -- 2 Harsh Effects of SARS-CoV 2 on Respiratory System -- 3 Sophisticated Methods of Implementation for COVID-19 Treatment -- 3.1 Nucleic Acid Amplification Tests (NAAT) -- 3.2 Use of Hydroxychloroquine Drugs (HCQ) -- 3.3 Clinical Trials of Convalescent Plasma Therapy -- 3.4 Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) Tests -- 3.5 Use of Plaquenil Drugs -- 3.6 Solidarity Trial of Antiviral Drug `Remdesivir' -- 3.7 Thapsigargin (TG): A Novel Antiviral Drug -- 4 Proposed SWIFT Technique for Procuring Lungs Imaging of ARDS Patients and Further Detection of COVID-19 -- 5 Conclusion and Future Extensions -- References -- 15 Application of Complex Network Principles to Identify Key Stations in Indian Railway Network -- 1 Introduction -- 2 Paper Summary -- 3 Graph Construction -- 3.1 Simple Graph Model -- 3.2 Hypergraph Model -- 4 Simple Graph Analysis -- 4.1 Global Network Information -- 4.2 Visualization -- 4.3 Important Stations -- 5 Hypergraph Analysis -- 6 Conclusion -- 7 Future Work -- 8 Appendix: Metrics -- References -- 16 Text Classification Using Deep Learning: A Survey -- 1 Introduction -- 2 Review Methodology -- 3 Review of the Previous Methods -- 4 Data set Related to Text Classification. 5 Metrics for Text Classification -- 5.1 Accuracy -- 5.2 Precision -- 5.3 Recall -- 5.4 Specificity -- 5.5 F-Measure -- 5.6 Micro-averaging and Macro-averaging -- 5.7 Matthews Correlation Coefficient (MCC) -- 5.8 ROC -- 6 Conclusion and Future Scope -- References -- 17 Significance of Artificial Intelligence in COVID-19 Detection and Control -- 1 Introduction -- 2 Procedure Implicated in AI-enabled Technique for COVID-19 -- 3 Methods -- 3.1 Criteria of Acceptance -- 3.2 Data Sources and Search Policy -- 3.3 Method of Study Selection -- 3.4 Analyses of Data (Qualitative and Quantitative) -- 3.5 Descriptive Analysis of Search Result -- 4 Discussion -- 4.1 Model 1: Computational Epidemiology (CE) -- 4.2 Model 2: EDD Model -- 4.3 Model 3: DP Models -- 5 Conclusion -- References -- 18 Anomalous Human Activity Detection Using Stick Figure and Deep Learning Model -- 1 Introduction -- 2 Literature Survey -- 2.1 Pose Model Selection -- 3 Implementation -- 3.1 Data Collection -- 3.2 Model Training -- 3.3 Prediction -- 3.4 Data Visualization and Preprocessing -- 3.5 Results -- 3.6 Output -- 4 Conclusion -- References -- 19 Noise Removal in ECG Signals Utilizing Fully Convolutional DAE -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 4 Experimental Results -- 5 Conclusions -- References -- 20 Performance Investigation of RoF Link in 16 Channel WDM System Using DPSK Modulation Technique -- 1 Introduction -- 2 Simulation Model -- 3 Simulation Results and Discussion -- 4 Conclusion -- References -- 21 A Comprehensive Study on Automatic Emotion Detection System Using EEG Signals and Deep Learning Algorithms -- 1 Introduction -- 2 Literature Review of Various Emotion Detection Techniques -- 2.1 Deep Learning-Based Emotion Detection Systems -- 2.2 Machine Learning-Based Emotion Detection Systems -- 3 Conclusion -- References. 22 Sensor-Based Secure Framework for IoT-Based Smart Homes. |
| Record Nr. | UNINA-9910627252603321 |
| Gateway East, Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||