top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 1
Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 1
Autore Manoharan S
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (0 pages)
Altri autori (Persone) TuguiAlexandru
BaigZubair
Collana Information Systems Engineering and Management Series
ISBN 9783031614712
9783031614705
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- A Hybrid Machine Learning Approach for Enhanced Prediction of Breast Cancer with Lasso Method for Feature Extraction -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 3.1 Dataset -- 3.2 System Architecture -- 4 Methodology -- 4.1 Data Preprocessing -- 4.2 Handling Missing Values -- 4.3 Selection Operator and Minimum Absolute Shrinkage (Lasso) -- 4.4 Evaluation Metrics -- 5 Result Discussion -- 5.1 Random Forest Algorithm -- 5.2 Artificial Neural Network Algorithm -- 5.3 Hybrid Approach -- 6 Results and Discussions -- 6.1 Result Using ANN -- 6.2 Result Using RF -- 6.3 Result Using Hybrid Model -- 7 Conclusion -- References -- A Comparative Overview of Deep Learning Aided Image Generation -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 DCGAN -- 3.2 SDXL -- 3.3 CVAE-GAN -- 3.4 ANI-GAN -- 3.5 CycleGAN -- 4 Result and Discussion -- 5 Conclusion and Future Scope -- References -- Enhancing Pneumonia Detection in Chest X-Rays: A Combined GAN and CNN Approach -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 GAN -- 3.2 AC GAN -- 3.3 Data Augmentation -- 3.4 CNN -- 4 Result Analysis -- 4.1 Feature Extraction and Classification Process -- 4.2 Data Augmentation -- 4.3 AC GAN -- 5 Conclusion -- References -- A Data Driven AI Framework for Conversational Bot by Vision Transformers in Health Care Systems -- 1 Introduction -- 2 Literature Review -- 3 Datasets -- 3.1 Indian Medicinal Plants Dataset -- 3.2 Floramed Data -- 4 Methodology -- 4.1 Proposed Framework -- 4.2 Vision Transformers (ViT) -- 4.3 Large Language Model- Mistral-7B-V0.1 -- 4.4 Frontend Framework -- 4.5 Implementation -- 5 Comparison and Results -- 6 Conclusion -- References -- Predictive Modelling of Cardiac Disease: Enhancing Accuracy Through Machine Learning Algorithms and Borderline-SMOTE Technique.
1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Data Balancing Technique -- 3.4 Feature Selection -- 4 ML Models -- 4.1 LR -- 4.2 SVC -- 4.3 RF -- 4.4 KNN -- 4.5 GNB -- 4.6 AdaBoost Classifier -- 4.7 CatBoost Classifier -- 4.8 Gradient Boosting -- 5 Model Evaluation -- 5.1 Accuracy (A) -- 5.2 Precision (P) -- 5.3 Recall (R) -- 5.4 F1 Score (F1) -- 5.5 Specificity (S) -- 5.6 ROC-AUC Curve -- 6 Results and Discussions -- 7 Conclusion and Future Work -- References -- An AI-Driven Model for Decision Support Systems -- 1 Introduction -- 2 Related Work -- 3 AI in Management -- 4 MCDM and GP -- 5 Experimental Results -- 6 Conclusion -- References -- Exploring Music Genres Through Facial Emotions: Intelligent Data Processing and Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Existing System -- 4 Proposed System -- 5 Methodology -- 5.1 Identification of Emotions on the Face -- 5.2 Classifying Music Genres -- 5.3 Integration and Recommendations -- 6 Results and Discussion -- 7 Conclusion -- 8 Future Work -- References -- Optimizing Cloud Task Scheduling Through Innovative Metaheuristic Algorithm and Impulsive Fuzzy C-Means -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Credit Task Length -- 3.2 Credit Makespan -- 3.3 Credit Task Priority -- 3.4 Credit Deadline -- 3.5 Credit Degree of Imbalance -- 3.6 Execution Cost of the Task -- 4 IGFCM Clustering Method -- 4.1 Impulsive Genetic FCM Algorithm -- 4.2 Impulsive Technique in GA Design -- 4.3 IGA Operation -- 4.4 Clustering with FCM Method -- 5 Load Balancing Using Proposed Deep Q-Learning -- 5.1 Metaheuristic Elements - Fire Hawk Optimization (FHO) Algorithm -- 5.2 Deep Q-Learning Algorithm -- 5.3 Experimental Setup -- 5.4 Makespan Comparison Results -- 5.5 Response Time Comparison Results.
5.6 Resource Utilization Comparison Results -- 5.7 Average Waiting Time Comparison Results -- 5.8 Total Cost Comparisons Results -- 5.9 Degree of Imbalance Performance Comparisons -- 6 Scalability and Applicability in Real-World Cloud Environment -- 6.1 Scalability -- 6.2 Applicability -- 7 Conclusion and Future Work -- References -- Cirrhosis Patient Survival Prediction Analysis Using ML Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Methods -- 3.1 Supervised Machine Learning Algorithm -- 3.2 Logistic Regression Algorithm -- 3.3 Support Vector Machine (SVM) -- 3.4 Decision Tree Algorithm -- 3.5 Random Forest Algorithm -- 4 Experiment -- 4.1 Experiment Environment -- 4.2 Cirrhosis Disease Dataset -- 4.3 Data Visualization -- 4.4 Imputing Missing Values in Numerical Features -- 4.5 Encoding Categorical Variables -- 4.6 Encoding Target Variable for Training and Test Datasets. -- 5 Experimental Results -- 5.1 Results of Each Model -- 5.2 Accuracy of All Models -- 5.3 Final Results -- 6 Conclusion -- 7 Future Research Directions -- References -- Learnable Discrete Wavelet (LDW) Pooling in CNN for Multidisciplinary Disease Prediction in Healthcare -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Structuring the Paper -- 4 Experimental Study -- 5 Result and Analysis -- 6 Conclusions and Future Scope -- References -- Autonomous Human Computer Interaction System in Windows Environment Using YOLO and LLM -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection -- 2.2 YOLO V8 Model Training -- 2.3 Tesseract OCR Implementation -- 2.4 Edge and Contour Detection -- 2.5 Large Language Model (LLM) GPT-4 with Instruction Fine-Tuning -- 3 Implementation and Algorithm -- 3.1 Screen Image Pre-processing -- 3.2 Large Language Model (LLM) Integration and Its Capabilities -- 3.3 User Command and Screen Image Processing.
3.4 Integrate Large Language Model -- 4 Results and Discussion -- 4.1 Optical Character Recognition (OCR) Performance -- 4.2 Edges and Contours Detection -- 4.3 You Only Look Once (YOLO V8) Results -- 4.4 Large Language Model (LLM) Performance and Interpretation -- 4.5 Discussion -- 5 Conclusion and Future Work -- References -- Deep Learning Based Animal Intrusion Detection System -- 1 Introduction -- 2 Problem Statement -- 3 Related Work -- 4 Methodology -- 4.1 Process Involved in Designing -- 5 Performance Analysis -- 6 Conclusion -- References -- Sustainable Crop Monitoring and Management for Enhanced Agricultural Productivity Through IoT, AI& -- ML: Case Studies and Innovations -- 1 Introduction -- 1.1 Study of Agriculturalist -- 1.2 Agricultural Landscape -- 1.3 Importance to Livelihood -- 1.4 Problems and Challenges -- 1.5 Governmental Programs -- 1.6 Technological Acceptance -- 1.7 Agricultural Exports -- 1.8 Prospects for the Future -- 1.9 Sustainability and Organic Agricultural -- 2 Agrıcultural Integratıon of Internet of Thıngs and the Artıfıcıal Intellıgence -- 2.1 Agriculture and IoT -- 2.2 AI in Agriculture -- 3 Problem Statement -- 4 Lıterature Revıew of Contrıbutıons -- 5 Materıals and Methods -- 6 Frame Work -- 6.1 Results -- 7 Conclusion -- References -- Design of an Auto Evaluation Model for Subjective Answers Using Natural Language Processing and Machine Learning Techniques -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Proposed Methodology for Student Module -- 3.2 Proposed Methodology for Teacher Module -- 4 Results -- 5 Conclusion -- References -- Navigating the Radiological Landscape: A Cutting-Edge Hybrid VGG16-EfficientNet Model for Improved CT Scan Interpretation -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Dataset -- 3.2 Data Pre-processing -- 3.3 Data Augmentation.
3.4 Model Evaluation -- 4 Proposed Methodology -- 4.1 Working Process of Proposed Model -- 4.2 VGG16-EfficientNet Model -- 5 Results and Discussion -- 6 Conclusion -- References -- Optimized Scene Text Detector and Paddle Optical Character Recognizer Techniques to Extract Text from Images -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- A Cost-Sensitive Sparse Auto-encoder Based Feature Extraction for Network Traffic Classification Using CNN -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Pre-processing -- 3.2 Feature Extraction Using Sparse Autoencoder -- 3.3 Deep Learning Based Traffic Classification Using CNN -- 4 Experiments and Results -- 4.1 Dataset -- 4.2 Evaluation Measures -- 4.3 Results and Comparisons -- 5 Conclusion -- References -- Comparative Analysis of Deep Learning Architectures for Rice Crop Image Classification -- 1 Introduction -- 2 Design and Methodology -- 3 Result Analysis -- 4 Discussions -- 5 Conclusion and Future Scope -- References -- A Comprehensive Survey on Real-Time Animal (Dog) Detection System Using Artificial Intelligence Methods -- 1 Introduction -- 2 Literature Review -- 2.1 Objectives (OBJ) of the Review -- 2.2 Observation Table -- 2.3 Major Techniques Used -- 3 Observations and Outcomes of the Survey -- 4 Limitations of the Survey -- 5 Conclusion -- References -- Natural Language Processing Approach to Real-Time Multilingual Speech Conversion -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Proposed System -- 5 Results -- 6 Future Scope -- 7 Conclusion -- References -- Automatic Road Accident Detection Using Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 3.1 Dataset Description -- 3.2 Dataset Preparation for YOLO Model -- 3.3 Dataset Preparation for CNN Model -- 4 Implementation.
4.1 Architecture for Accident Detection.
Record Nr. UNINA-9910865247203321
Manoharan S  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 2
Proceedings of 4th International Conference on Artificial Intelligence and Smart Energy : ICAIS 2024, Volume 2
Autore Manoharan S
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (523 pages)
Altri autori (Persone) TuguiAlexandru
BaigZubair
Collana Information Systems Engineering and Management Series
ISBN 9783031614750
9783031614743
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Efficient Detection of Cyberbullying in Social Media Platform -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 3.1 Data Preprocessing and Feature Extraction -- 3.2 Applying a Logistic Regression Approach for Model Development and Evaluation -- 3.3 Training and Evaluating a Model Based on Support Vector Machine (SVM) -- 4 Results and Discussion -- 5 Conclusion -- References -- Securing Cyber-Physical Systems: A Strategic Review -- 1 Introduction -- 1.1 Contribution of This Paper -- 2 Exploring Side Channel Attack Modes -- 2.1 Side Channel Attack Standard Evaluation Board -- 2.2 Algorithmic Exploration and Evaluation of Side-Channel Analysis -- 3 Safety Architecture Methods -- 4 Research Opportunities -- 5 Conclusion -- References -- Advancing Solar Still Efficiency - Pioneering Sustainable Water Solutions -- 1 Introduction -- 1.1 Motivation -- 2 Problem Description -- 3 Solutions -- 3.1 Improvement of Membrane Distillation Techniques -- 3.2 Silica Scale Inhibition -- 3.3 Economical Method to Implement MED System -- 4 Block Diagram of Solar-Still and Its Description -- 5 Feasible Solution -- 5.1 Membrane Distillation -- 5.2 MD Process with Nanomaterials -- 5.3 Silica Scale Inhibition Using Boric Acid -- 5.4 Use of Nuclear Reactors for MED Process -- 6 Proposed Block Diagram for Efficient Solar Cell -- 7 Conclusion -- References -- An In-Depth Investigation into Automatic Dubbing Leveraging ASR, Machine Translation and Deep Voice 3 -- 1 Introduction -- 2 Motivation -- 3 Analysis -- 3.1 Significance and Impact: -- 3.2 Technical Feasibility: -- 3.3 Data Diversity and Accuracy: -- 4 Literature Survey -- 5 Process Flow -- 5.1 Video Input -- 5.2 Audio Extraction -- 5.3 Automatic Speech Recognition -- 5.4 Translating to Regional Languages -- 5.5 Text-To-Speech Conversion -- 5.6 Audio Synchronization.
6 Process Flow Diagram -- 7 Experimental Results and Finding -- 7.1 Comparison and Analysis of Models -- 8 Conclusion -- References -- LEWRY Your Smart Home Security Robot -- 1 Introduction -- 2 Aim -- 3 Scope -- 4 Existing System -- 5 Proposed Methodology and System -- 6 Hardware Parts -- 6.1 Arduino UNO -- 6.2 Ultrasonic Detector -- 6.3 Flame Detector -- 6.4 Smoke Detector -- 6.5 Motor Driver Module -- 6.6 Bluetooth Module -- 7 Software Requirement - Using Arduino IDE -- 8 Hardware Connections -- 8.1 Motor Driver Module on Arduino UNO -- 8.2 Circuit Description of First Tier -- 8.3 Description of the Components Deployed -- 8.4 Circuit Description of Second Tier -- 8.5 Description of the Components Deployed -- 9 Result -- 10 Conclusion -- 11 Futuristic Scale -- References -- Ensemble Based Attrition Prediction in Corporate Settings -- 1 Introduction -- 2 Literature Survey -- 3 Dataset Description -- 3.1 Balancing Dataset- Smote -- 3.2 Feature Extraction -- 3.3 Boosting Algorithm Models -- 3.4 Optimization Techniques -- 4 Results -- 4.1 Performance of Boosting Models Before Using Optimization Technique -- 4.2 Performance of Boosting Models After Using Optimization Technique -- 4.3 Performance of Recurrent Model Before Using Optimization Technique -- 4.4 Performance of Recurrent Model After Using Optimization Technique -- 5 Findings and Discussion -- 6 Conclusion and Future Work -- References -- Mitigating Agricultural Challenges: A Comprehensive Study on the Impact of Crop Diseases on Rice Production in India -- 1 Introduction -- 1.1 Types of Disease -- 2 Methodology -- 2.1 Convolution Neural Network -- 3 Results and Discussion -- 4 Conclusion -- References -- Human Object Interaction: A Survey on Models and Their Key Challenges and Potential Applications in Future Fields -- 1 Introduction -- 2 Background and Related Work.
3 Methodology: Human Object Interaction Working and Its Fields -- 4 Review of Literature -- 5 Key Challenges in Human-Object Interaction Detection -- 5.1 Ambiguity in Interaction Interpretation -- 5.2 Sensor Placement and Accuracy -- 5.3 Dataset Availability and Diversity -- 5.4 Computational Complexity -- 5.5 Noise and Imperfections in Data -- 5.6 Generalization and Transfer Learning -- 6 Potential Applications of HOI Detection in Future Fields -- 6.1 Applications -- 7 Conclusion -- References -- Streamlining the Bone Fracture Detection Using X-Ray Imaging and Seamless PACS Data Exchange -- 1 Introduction -- 2 Related Works -- 3 Comparison of Related Works -- 4 Proposed Work -- 5 Mathematical Module -- 6 Conclusion -- 7 Delcarations -- 7.1 Ethics Approval and Consent to Participate -- 7.2 Consent for Publication -- 7.3 Availability of Data and Materials -- 7.4 Competing Interests -- 7.5 Funding -- 7.6 Authors' Contributions -- References -- A Review on Suitability of Vertical Federated Learning in Smart City Platforms -- 1 Introduction -- 2 Overview -- 2.1 Non-IID Data -- 2.2 Types of Suitable Machine Learning Techniques for SCP -- 2.3 VFL Model Building with Non-IID -- 3 Discussion and Analysis -- 4 Future Work -- 5 Conclusions -- References -- Land Cover Classification Using Modified U-net: A Robust Approach for Satellite Image Analysis -- 1 Introduction -- 2 Study Region and Satellite Data -- 2.1 Study Region -- 2.2 Satellite Data -- 3 Methodology -- 3.1 Image Pre-processing -- 3.2 U-net -- 3.3 Image Processing -- 3.4 Resources Utilized -- 4 Result and Discussion -- 4.1 Result -- 4.2 Discussion -- 5 Conclusion -- References -- Synergistic Evolution: Pioneering Frontiers of Artificial Intelligence and Robotics in Healthcare -- 1 Introduction -- 1.1 The Robotics of Healthcare -- 1.2 Use of Artificial Intelligence in the Realm of Healthcare.
1.3 Research and Development in the Fields of Artificial Intelligence, Robotics, and Healthcare -- 1.4 Considerations Regarding the Obstacles and Implications of Regarding Ethics -- 2 Literature Review -- 3 Analysis and Results of Comparative Studies -- 3.1 Robotics for Rehabilitation and Assistive Technology -- 3.2 Robotics in the Field of Imaging and Diagnosis -- 3.3 Using AI in Healthcare -- 3.4 Utilizing Artificial Intelligence in Healthcare: Accuracy in Diagnostics and Predictive Analytic -- 3.5 The Role of Robotics in Healthcare: Enhanced Procedures and Greater Precision -- 3.6 An Examination of Comparative Synergy and Its Many Different Applications -- 3.7 Considerations of Ethical Implications and Obstacles -- 4 Conclusion -- References -- Solar Panel Fault Analysis Using Regression Models -- 1 Introduction -- 2 Literature -- 3 Proposed Method -- 3.1 Linear Regression -- 3.2 Non-linear Regression -- 4 Experimental Analysis -- References -- Development of Fuzzy Controlled Five Level Modular Multilevel Converter for Grid Tied PV System -- 1 Introduction -- 2 Proposed System -- 2.1 Modelling of the PV Cell -- 2.2 Modular Multilevel Converter (MMC) -- 2.3 Design of Fuzzy Controller -- 2.4 Design of Filter -- 3 Results and Discussions -- 4 Conclusion -- References -- Multifaceted Chatbot: A Retrieval Augmented Generation Approach for Intelligent Website Query Handling -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Data Collection -- 3.2 Text Processing and Embeddings -- 3.3 Chatbot Model Training -- 3.4 User Interaction and Response Generation -- 3.5 Recommendation System -- 3.6 Evaluation and Testing -- 4 Results -- 4.1 Assessing LLMs' Performance -- 4.2 Applications -- 5 Conclusion -- References -- Intelligent Monitoring and Learning System for Electric Vehicle Charging Stations -- 1 Introduction -- 2 Related Work.
3 Proposed System Architecture -- 3.1 Data Acquisition -- 3.2 Learning Phrase -- 3.3 Monitoring Phrase -- 4 Proteus Simulation Model and Working -- 4.1 Initiating Charging Process -- 4.2 Learning in Charging Process -- 4.3 Monitoring Charging Process -- 4.4 Anomaly or Abnormal Detection in Charging Process -- 5 Result and Discussion -- 5.1 GSM Modem Output -- 5.2 Normal vs. Abnormal Conditions -- 6 Conclusion and Future Work -- References -- A Global Three Wheeler Road Freight EV Cargo Cart for Value Added Services -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Mechanical System -- 3.2 Electrical System -- 4 System Calculations -- 5 Implementation -- 6 Results and Discussions -- 7 Conclusion and Future Scope -- References -- Android App-Oriented Smart Supervision of Water Distribution Using Internet of Things -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Android Interface for the Lineman -- 3.2 Central Water Distribution Centre -- 4 Implementation -- 4.1 Phase 1: Login and Street Selection -- 4.2 Phase 2: Updating the Details in Google Firebase -- 4.3 Phase 3: Retrieving the Data and Processing -- 4.4 Phase 4: Leakage Detection and Processing -- 5 Results -- 5.1 SCENARIO 1: When There is no Evidence of a Water Leak -- 5.2 SCENARIO 2: Observing Water Leakage -- 5.3 Numerical Outcomes -- 6 Conclusion -- References -- Identification of Speech Stream and the Source Localization for Hearing Prosthesis-Driven Healthcare -- 1 Introduction -- 2 Data Collection and Experiment -- 3 Methodology -- 4 Training and Evaluation -- 5 Results -- 6 Future Outlook and Conclusion -- References -- Catalyzing Urban Logistics and Road Safety: Truck Recommendation System and Real-Time Accident Severity Prediction -- 1 Introduction -- 2 Objective -- 3 Literature Survey -- 4 Existing System -- 4.1 Drawbacks of Existing System.
5 Proposed Solution.
Record Nr. UNINA-9910865245403321
Manoharan S  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui