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Proceedings of the 12th International Conference on Soft Computing for Problem Solving : SocProS 2023, Volume 2
| Proceedings of the 12th International Conference on Soft Computing for Problem Solving : SocProS 2023, Volume 2 |
| Autore | Pant Millie |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (922 pages) |
| Altri autori (Persone) |
DeepKusum
NagarAtulya |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9789819732920
9789819732913 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910869173403321 |
Pant Millie
|
||
| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Proceedings of the 12th International Conference on Soft Computing for Problem Solving : SocProS 2023, Volume 1
| Proceedings of the 12th International Conference on Soft Computing for Problem Solving : SocProS 2023, Volume 1 |
| Autore | Pant Millie |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (942 pages) |
| Altri autori (Persone) |
DeepKusum
NagarAtulya |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 9789819731800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- MIM-ViT: Deepfake Detection Using Masked Image Modelling and Vision Transformer -- 1 Introduction -- 2 Related Work -- 2.1 Deepfake Generation -- 2.2 Deepfake Detection -- 2.3 Research Gaps in Existing Work -- 3 Proposed Architecture -- 3.1 Dataset -- 3.2 Preprocessing -- 3.3 Face Quality Testing -- 3.4 Model -- 4 Experimental Setup -- 5 Results and Discussion -- 5.1 Performance Metrics -- 5.2 Experiments -- 6 Conclusion and Future Scope -- References -- A Study on Generalized Hough Transform for Detecting Fuzzy Lines -- 1 Introduction -- 2 Preliminaries -- 2.1 Classical Hough Transform -- 3 Fuzzy Hough Transform -- 3.1 Generalized Version of Fuzzy Hough Transform -- 3.2 Fuzzy Line Detection Using FHT -- 4 Similarity Measure Between Two Fuzzy Lines -- 4.1 Distance Measure Between Two Fuzzy Lines -- 5 Experimental Results -- 6 Conclusion -- References -- 'KSK' Algorithm for Optimizing DCS Performance Using 'R' -- 1 Introduction -- 2 Literature Review -- 3 Objective -- 4 Technique -- 5 Flowchart of Algorithm -- 6 Implementation -- 7 Comparison -- 8 Conclusion -- References -- A Knee-Based Multi-objective Optimization for Gait Cycle of 25-DOF NAO Humanoid Robot -- 1 Introduction -- 2 Past Studies -- 3 Knee-Based Optimization Methodology -- 3.1 Angle-Based Focus -- 3.2 Utility-Based Focus -- 4 Problem Definition -- 5 Multi-Objective Optimization Formulation -- 6 Results and Discussion -- 7 Conclusions -- References -- Estimating Severity for Knee Osteoarthritis Radiographs Using Deep Learning and Machine Learning Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Methods and Materials Used -- 3.1 Dataset Used -- 3.2 Dataset Pre-processing -- 3.3 Extracting Relevant Features -- 3.4 Classification -- 3.5 Investigating Parameters -- 4 Experimental Analysis -- 5 Conclusion -- References.
Knee-Osteoarthritis Detection Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 4 Methodology -- 4.1 Image Preprocessing -- 4.2 Application of CNN Algorithm -- 4.3 Dataset -- 4.4 Training -- 5 Results -- 6 Implementation of Online Tool -- 7 Benefits -- 8 Conclusion and Future Scope -- References -- Hybrid Method for Named Entity Recognition in Kumauni Language Using Machine Learning -- 1 Introduction -- 1.1 NER and Its Approaches -- 1.2 Applications of Named Entity Recognition -- 2 Review of Literature -- 3 Background Study -- 4 Problem Formulation -- 5 Research Objectives -- 6 Research Methodology -- 6.1 CRF -- 6.2 CNN -- 6.3 Bi-LSTM -- 7 Proposed Methodology -- 8 Results and Discussion -- 8.1 Dataset Description -- 8.2 Performance Measure -- 9 Results and Discussion -- 10 Comparative Analysis -- 11 Conclusion and Future Work -- References -- Implementation of Basic Mathematical Operations on Openpower-ISA of Libresoc -- 1 Introduction -- 2 Literature Survey -- 3 Methodology and Implementation -- 4 Results and Discussions -- 4.1 Implementation for Addition Operation -- 4.2 Implementation for Subtraction Operation on the Decoder Test Cases of Openpower-ISA -- 4.3 Implementation for Multiplication Operation -- 4.4 Implementation for Division Operation -- 5 Conclusion -- 6 Future Scope -- References -- Machine Learning-Based Node Localization in IoT-Assisted WSN: An Initial Framework for Real-Time Applications -- 1 Introduction -- 1.1 Main Contributions -- 2 Related Work -- 3 Localization in IoT -- 4 Machine Learning-Based Localization in IoT Context -- 5 Proposed Framework for ML-Based Localization in IoT-Assisted WSN -- 5.1 Offline Phase -- 5.2 Model Selection and Training -- 5.3 Online Phase -- 5.4 Node Localization -- 6 Conclusion -- 7 Future Scope -- References. Implementing Blockchain Technology in Healthcare: An Overview, Key Requirements, and Challenges -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 4 Future Scope -- 5 Conclusion -- References -- Path Planning for Autonomous Ground Vehicles by Applying Modified Harris Hawks Optimization Technique -- 1 Introduction -- 2 Problem Description and System Modeling -- 3 Modified Harris Hawks Optimization (MHHO) Algorithm -- 4 Simulation Results and Discussions -- 4.1 Performance of the Modified HHO Optimization Algorithm -- 4.2 Performance of MHHO Optimization Algorithm in Path Planning Algorithms -- 5 Conclusion and Future Scope -- References -- Glaucoma Classification Using Improved Pretrained Model -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Phase 1: RIM-1 DL Dataset -- 3.2 Phase 2: Preprocessing -- 3.3 Phase 3: Transfer Learning -- 3.4 Phase 4: Hybrid Model Development -- 4 Results and Discussion -- 5 Conclusion -- References -- Performance Optimization of a Waste Heat-Operated Tri-generation Cycle Under Different Energy Situations -- 1 Introduction -- 2 System Description and Performance Evaluation -- 2.1 Description of the Cycle -- 2.2 Assumptions Required During Simulation -- 2.3 Performance Evaluation of the Cycle -- 3 Optimization Strategy Used in the Study -- 3.1 Dragonfly Optimization Algorithm -- 3.2 Flowchart of the Optimization Strategy -- 4 Results -- 4.1 Calculation of Suitable Range of GF, PF, and SF -- 4.2 Optimized Results for Residential or Goods Storage Facilities -- 5 Conclusion -- References -- Organizational Supply Chain Risk Assessment Using Machine Learning and Backpropagation Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Research and Analysis on the Model Construction for Supply Chain Risk Assessment -- 3.1 Research Methodology -- 3.2 Backpropagation Neural Network Model. 4 Simulation Result -- 5 Conclusion -- References -- An Approach to Find Critical Path Using Trapezoidal Picture Fuzzy Numbers -- 1 Introduction -- 2 Preliminaries -- 2.1 Trapezoidal Picture Fuzzy Numbers -- 2.2 Operations on Trapezoidal Picture Fuzzy Numbers ch15ddd -- 2.3 Comparison of TPFNs Based on: Expected Values ch15ddd -- 3 Trapezoidal Picture Fuzzy Critical Path Method -- 4 Conclusion and Future Research -- References -- Comparative Analysis of Machine Learning and Deep Learning Algorithms for Automatic Sleep Staging Using EEG Signals -- 1 Introduction -- 2 Literature Review -- 2.1 Machine Learning -- 2.2 Deep Learning -- 2.3 Limitation -- 2.4 Contribution -- 3 Proposed Methodology -- 3.1 Dataset -- 3.2 Pre-processing -- 3.3 Feature Extraction and Selection -- 3.4 Classification Algorithm -- 3.5 Performance Evaluation -- 4 Result Analysis -- 4.1 Machine Learning Evaluation -- 4.2 Deep Learning Evaluation -- 5 Conclusion and Future Work -- References -- Randomized Shuffled Hierarchical Partitioning Technique for Enhancing Efficiency of Swarm Algorithms -- 1 Introduction -- 2 Literature Review -- 2.1 Hierarchical Partitioning -- 2.2 Modified Hierarchical Partitioning -- 2.3 Random Partitioning -- 2.4 Self-adaptive Multi-population Technique with Random Partitioning (SAMPR) -- 3 Proposed Variants -- 3.1 Shuffled Hierarchical Partitioning (SHier) -- 3.2 Randomized Hierarchical Partitioning (RHier) -- 3.3 Randomized Shuffled Hierarchical Partitioning (RSHier) -- 4 Results and Discussion -- 4.1 Comparison Among the Proposed Techniques with HIER and mHIER -- 4.2 Testing the Applicability of RSHier Over Multiple Swarm Algorithms -- 4.3 Comparison Over CEC 2014 Function Set -- 4.4 Studying Diversity and Convergence Improvements -- 5 Conclusion -- References -- A Novel Approach to Solve the Interval-Valued Fermatean Fuzzy Transportation Problem. 1 Introduction -- 2 Preliminaries -- 3 Mathematical Formulation -- 3.1 Interval-Valued Transportation Problem (IVTP) -- 3.2 Equivalent Crisp Transportation Problem Using Order Relation leqRC -- 4 Solution Methodology -- 5 Numerical Example -- 5.1 Discussion -- 6 Conclusion and Future Research Scope -- References -- An Ensemble of PSO and Artificial Electric Field Algorithm for Computationally Expensive Optimization Problems -- 1 Introduction -- 2 Literature Review -- 3 Ensemble of PSO and AEFA -- 3.1 PSO -- 3.2 AEFA -- 3.3 Proposed Algorithm -- 3.4 Time and Space Complexity of the PSAEF Algorithm -- 3.5 Advantages and Disadvantages of the Proposed PSAEF Algorithm -- 4 Results and Discussions -- 5 Component-Wise Comparison -- 6 Conclusion and Future Scope -- References -- Popularity Prediction of Online Social Media Content: A Bibliometric Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results -- 4.1 Document and Source Type -- 4.2 Evolution of Publication Over Years -- 4.3 Keyword Analysis -- 4.4 Analysis of Authorship -- 4.5 Analysis of the Author's Main Affiliation -- 4.6 Analysis of the Author's Countries -- 4.7 Citation Analysis -- 4.8 Analysis of Journals -- 5 Conclusion -- References -- Development of an Autonomous Driving Car Prototype Using FPGA -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Architecture -- 3.2 Algorithms Used -- 4 Proposed Features -- 4.1 Lane Detection -- 4.2 Object Detection -- 4.3 Collision Avoidance -- 5 Result -- 5.1 Testing and Validation -- 6 Suggested Improvements -- 7 Future Scope -- 8 Conclusion -- References -- Custom CDGNet Architecture for Precise Human Part Semantic Segmentation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experimental Analysis -- 4.1 Dataset Used -- 4.2 Evaluation Metrics -- 4.3 Quantitative Analysis -- 5 Conclusion and Future Work. References. |
| Record Nr. | UNINA-9910874674803321 |
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Pant Millie
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||