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Artificial Intelligence and Applied Mathematics in Engineering Problems : Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019) / / edited by D. Jude Hemanth, Utku Kose
| Artificial Intelligence and Applied Mathematics in Engineering Problems : Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019) / / edited by D. Jude Hemanth, Utku Kose |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (1,105 pages) |
| Disciplina |
620.00151
620.0028563 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-36178-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | State and Trends of Machine Learning Approaches in Business: An Empirical Review -- Piecewise Demodulation based on Combined Artificial Neural Network for Quadrate Frequency Shift Keying Communication Signals -- A New Variable Ordering Method for the K2 Algorithm -- A Benefit Optimization Approach to the Evaluation of Classification Algorithms -- Financial Fraud Detection through Artificial Intelligence -- Deep Learning-based Software Energy Consumption Profiling -- Prediction of Potential Bank Customers: Application on Data Mining -- The Model Selection Methods for Sparse Biological Networks -- A Hybrid Approach for the Sentiment Analysis of Turkish Twitter Data -- Text Mining and Statistical Learning for the Analysis of the Voice of the Customer -- Effect the Number of Reservations on Implementation of Operating Room Scheduling with Genetic Algorithm -- Statistical Learning Applied to Malware Detection -- Improved Social Spider Algorithm via Differential Evolution -- On the Prediction of Possibly Forgotten Shopping Basket items -- Selection and Training of School Administrators in Different Countries -- A Walking and Balance Analysis Based on Pedobarography -- On the Notion of Structure Species in the Bourbaki's Sense. |
| Record Nr. | UNINA-9910483954903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Techniques for Advanced Computing Applications : Proceedings of ICACT 2020 / / edited by D. Jude Hemanth, G. Vadivu, M. Sangeetha, Valentina Emilia Balas
| Artificial Intelligence Techniques for Advanced Computing Applications : Proceedings of ICACT 2020 / / edited by D. Jude Hemanth, G. Vadivu, M. Sangeetha, Valentina Emilia Balas |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (531 pages) : illustrations |
| Disciplina | 973.933092 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Electrical engineering Computational Intelligence Artificial Intelligence Communications Engineering, Networks |
| ISBN | 981-15-5329-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. A Novel Approach for Analysing and Detection of Obfuscated Malware Payloads in Android Platform Using Dexmonitor -- Chapter 2. A Study on the Prevention Mechanisms for Kernel Attacks -- Chapter 3. Enhancing Data Security Using DNA Algorithm in Cloud Storage -- Chapter 4. Stable Multi-Agent Clustering Method to Improve the Security in VANET -- Chapter 5. Anonymous Block Chain, Electronic Voting Using Linkable Ring Signatures -- Chapter 6. A Comprehensive Study on Ransomware Attacks in Online Pharmacy Community -- Chapter 7. A Comprehensive Survey on RF Module at 433 Mhzfor Different Applications -- Chapter 8. A Memory Efficient Tool for Bengali Parts Of Speech Tagging -- Chapter 9. Long-Term Wind Speed Forecasting – A Review -- Chapter 10. Methods for Epileptic Seizure Prediction Using EEG Signals: A Survey -- Chapter 11. Railway Wagon Health Monitoring System Using E-BMA Protocol in Wireless Sensor Networks -- Chapter 12. An Interactive Virtual E-Learning Framework Using Crowdsourced Analytics -- Chapter 13. Security for Data in IOT Using A Newaps Elliptic Curve Light Weight Cryptography Algorithm -- Chapter 14. Feature Selection Strategy for Academic Datasets Using Correlation Analysis -- Chapter 15. Exploration of Magnetic Resonance Imaging for Prognosis of Alzheimer Disease Using Convolutional Neural Network. . |
| Record Nr. | UNINA-9910484330403321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence Techniques for Satellite Image Analysis / / edited by D. Jude Hemanth
| Artificial Intelligence Techniques for Satellite Image Analysis / / edited by D. Jude Hemanth |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (VIII, 274 p. 150 illus., 100 illus. in color.) |
| Disciplina |
006.3
910.28563 |
| Collana | Remote Sensing and Digital Image Processing |
| Soggetto topico |
Artificial intelligence
Remote sensing Optical data processing Pattern perception Artificial Intelligence Remote Sensing/Photogrammetry Image Processing and Computer Vision Pattern Recognition |
| ISBN | 3-030-24178-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Heightening satellite image display via mobile augmented reality - a cutting-edge planning model -- 2. Multithreading Approach for clustering of Multi-Plane Satellite Images -- 3. Classification of field level crop types with a time series satellite data using Deep Neural Network -- 4. Detection of ship from satellite images using deep convolutional neural networks with improved median filter -- 5. Artificial Bee Colony optimized contrast enhancement for satellite image fusion -- 6. Effective transform domain denoising of oceanographic sar images for improved target characterization -- 7. Fused segmentation algorithm for the detection of nutrient deficiency in crops using SAR images -- 8. Detection of natural features and objects in satellite images by semantic segmentation using neural networks -- 9. Change Detection of Tropical Mangrove Ecosystem with Subpixel Classification of Time Series Hyperspectral Imagery -- 10. Crop Classification and Mapping for Agricultural Land from Satellite Images -- 11. Next Generation Artificial Intelligence Techniques for Satellite Data Processing -- 12. A wavelet transform applied spectral index for effective water body extraction from moderate resolution satellite images. |
| Record Nr. | UNINA-9910366632803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Biometric identification technologies based on modern data mining methods / / Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth, editors
| Biometric identification technologies based on modern data mining methods / / Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (x, 200 pages) : illustrations |
| Disciplina | 006.4 |
| Soggetto topico |
Biometric identification
Biometry Data mining |
| ISBN | 3-030-48378-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Image processing and recognition -- Intellectual technologies in systems of biometric identification -- Biometric scanners -- Methods and means of biometric identification by fingerprint -- Methods and means of biometric identification based on the iris of the eye -- Methods and means of biometric identification by hand geometry -- Methods and means of biometric identification based on retina pattern -- Methods and means of biometric identification through the veins of the fingers -- Voice authentication -- Handwriting authentication -- Identification by the handwriting on the keyboard -- Gait identification -- Finger micro-vibration identification -- Identification by the movement of the lips -- Identification through an electrocardiogram -- Conclusion. |
| Record Nr. | UNISA-996464384303316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Biometric identification technologies based on modern data mining methods / / Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth, editors
| Biometric identification technologies based on modern data mining methods / / Stepan Bilan, Mohamed Elhoseny, D. Jude Hemanth, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (x, 200 pages) : illustrations |
| Disciplina | 006.4 |
| Soggetto topico |
Biometric identification
Biometry Data mining |
| ISBN | 3-030-48378-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Image processing and recognition -- Intellectual technologies in systems of biometric identification -- Biometric scanners -- Methods and means of biometric identification by fingerprint -- Methods and means of biometric identification based on the iris of the eye -- Methods and means of biometric identification by hand geometry -- Methods and means of biometric identification based on retina pattern -- Methods and means of biometric identification through the veins of the fingers -- Voice authentication -- Handwriting authentication -- Identification by the handwriting on the keyboard -- Gait identification -- Finger micro-vibration identification -- Identification by the movement of the lips -- Identification through an electrocardiogram -- Conclusion. |
| Record Nr. | UNINA-9910484839503321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Vision and Bio Inspired Computing / / edited by D. Jude Hemanth, S. Smys
| Computational Vision and Bio Inspired Computing / / edited by D. Jude Hemanth, S. Smys |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (1,143 pages) : illustrations |
| Disciplina | 621.3993 |
| Collana | Lecture Notes in Computational Vision and Biomechanics |
| Soggetto topico |
Signal processing
Image processing Speech processing systems Biomedical engineering Optical data processing Signal, Image and Speech Processing Biomedical Engineering and Bioengineering Computer Imaging, Vision, Pattern Recognition and Graphics Biomedical Engineering/Biotechnology |
| ISBN | 3-319-71767-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Genetic Algorithm Based Hybrid Attribute Selection Using Customized Fitness Function -- A types of Multi-Granular nanotopology and its applications -- Curvelet based ECG steganography for protection of data -- Detection of Menisci Tears in Sports Injured and Pathological Knee Joint using Image Processing Techniques -- Assisting Visually Challenged Person in the Library Environment -- Diabetic Retinopathy Detection in Fundus Image Using Cross Sectional Profiles and ANN -- Image Based Group Happiness Intensity Analysis -- A Portable Back Propagation Network Classifier For Lung Cancer Associated Volatile Organic Compound Detection. |
| Record Nr. | UNINA-9910299957203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging Trends in Computing and Expert Technology / / edited by D. Jude Hemanth, V. D. Ambeth Kumar, S. Malathi, Oscar Castillo, Bogdan Patrut
| Emerging Trends in Computing and Expert Technology / / edited by D. Jude Hemanth, V. D. Ambeth Kumar, S. Malathi, Oscar Castillo, Bogdan Patrut |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (1,641 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-32150-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Exploration of Maximizing the Significance of Big Data in Cloud Computing -- Rendering Untampered E-Votes Using Blockchain Technology -- Analysis of Cryptography Performance Measures Using Artificial Neural Networking -- Regional Blood Bank Count Analysis Using Unsupervised Learning Techniques -- A Systematic Approach of Classification Model based Prediction of Metabolic Disease Using Optical Coherence Tomography Images -- Novel Maximum Power Point Tracking Based on Whale Optimization Algorithm for Hybrid System -- Incontinence Monitoring System Using Wireless Sensor for “Smart Diapers” -- Group Key Management Protocols for Securing Communication in Groups over Internet of Things -- Vehicle Monitoring and Accident Prevention System Using Internet of Things -- Aspect Extraction and Sentiment Analysis for E-Commerce Product Reviews -- Analyzing The Effect Of Regularization And Augmentation In Deep Neural Network Model With Handwritten Digit Classifier Dataset -- Analysis of Wearable Meander Line Planar Antenna Using Partial and CPW Ground Structure. . |
| Record Nr. | UNINA-9910484725103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Futuristic Computational Systems and Advanced Engineering for the Society : Proceedings of the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2024, Volume 1 / / edited by D. Jude Hemanth, Utku Kose, Nabi Ibadov, Ismail Serkan Uncu, Hamit Armagan
| Futuristic Computational Systems and Advanced Engineering for the Society : Proceedings of the 6th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2024, Volume 1 / / edited by D. Jude Hemanth, Utku Kose, Nabi Ibadov, Ismail Serkan Uncu, Hamit Armagan |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXII, 209 p. 72 illus., 64 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures |
| Soggetto topico |
Computational intelligence
Artificial intelligence Engineering - Data processing Computational Intelligence Artificial Intelligence Data Engineering |
| ISBN | 3-031-92552-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Effect of Feature Selection on Stock Market Index Prediction -- Controversy Detection on Twitter with Dynamics and Content-Based Features -- Detection of Alzheimer's Disease with an Ensemble Deep Learning Model Using Diffusion Tensor Imaging -- Reliability Challenges in Crowdsourced Bounding-Box Data for Computer Vision -- Glaucoma Classification Using Transfer Learning Based Convolutional Neural Networks -- A study on enhancing low-resource Turkish-English neural machine translation using part of speech tags -- Detection of Malware and Benign Samples in AWSCTD Dataset with Kolmogorov-Arnold Networks -- Stance Intensity Detection on Social Media -- Stance in Translation: English-to-Turkish Cross-Lingual Stance Detection -- Evaluation of Distance Metrics for the Success of Machine Learning-Based Authentication Systems Using Photoplethysmography (PPG)Signals -- Optimization of Agent-based Queuing System Model: A Case Study through Inventory Systems -- Support Vector Machine and Neural Network Approaches for Stiffness Modulus Prediction of Bituminous Mixtures Under Four-Point Bending Tests -- Application of Machine Learning Method in Predicting the Swelling Pressure of Clayey Soils -- Virtual Consultant: An Automated SAP Advisor -- Comparative Study of Machine Learning Techniques for Remaining Useful Life Estimation in Simulated Mini Factory Environment. |
| Record Nr. | UNINA-9911007363103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Human Behaviour Analysis Using Intelligent Systems / / edited by D. Jude Hemanth
| Human Behaviour Analysis Using Intelligent Systems / / edited by D. Jude Hemanth |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (205 pages) |
| Disciplina | 006.3 |
| Collana | Learning and Analytics in Intelligent Systems |
| Soggetto topico |
Computational intelligence
Biomedical engineering Computational Intelligence Biomedical Engineering and Bioengineering |
| ISBN | 3-030-35139-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Detection and Behavioral Analysis of preschoolers with Dyscalculia -- Chapter 2: FPGA based Human Fatigue and Drowsiness Detection System using Deep Neural Network for Vehicle Drivers in Road Accident Avoidance System -- Chapter 3: Intelligent Image Analysis System for Position Control of People with Locomotor Disabilities -- Chapter 4: An Innovative Prediction Technique to Detect Pedestrian Crossing Using ARELM Technique -- Chapter 5: Artificial Intelligence Applications in Tracking Health Behaviors during Disease Epidemics -- Chapter 6: Novel non-contact Respiration Rate detector for analysis of emotions -- Chapter 7: Human Emotion Classification using EEG signals by Multivariate SynchroSqueezing Transform. |
| Record Nr. | UNINA-9910484486303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2 / / edited by D. Jude Hemanth, Utku Kose, Bogdan Patrut, Mevlut Ersoy
| Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0 : Proceedings of the 5th International Conference on Artificial Intelligence and Applied Mathematics in Engineering ICAIAME 2023, Volume 2 / / edited by D. Jude Hemanth, Utku Kose, Bogdan Patrut, Mevlut Ersoy |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (317 pages) |
| Disciplina | 620.00151 |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures |
| Soggetto topico |
Computational intelligence
Artificial intelligence Engineering - Data processing Computational Intelligence Artificial Intelligence Data Engineering |
| ISBN | 3-031-56322-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Contents -- Multimodal Classification Algorithm for Turkish Document Archiving: Improving Digital Document Storage by Unifying Image and Text-Based Classifiers -- 1 Introduction -- 2 Methodology -- 2.1 Obtainment of Data-Set -- 2.2 Image Based Model -- 2.3 Text Based Model -- 2.4 Unified Model -- 3 Conclusion -- References -- Optimizing Technical Analysis Indicator Parameters with Grey Wolf Optimization -- 1 Introduction -- 2 Methodology -- 2.1 RSI -- 2.2 Grey Wolf Optimization (GWO) -- 2.3 Backtesting -- 2.4 Data and Benchmark -- 2.5 Implementation of GWO Algorithm -- 3 Results -- 3.1 Financial Evaluation -- 3.2 Results of Optimization -- 4 Conclusion -- References -- Performance Analysis of Machine Learning Algorithms for Intrusion Detection in Wireless Sensor Networks -- 1 Introduction -- 2 Related Studies -- 3 Materials and Methods -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Data Balancing -- 3.4 Machine Learning Algorithms -- 3.5 Evaluation Metrics -- 4 Experiment and Results -- 4.1 Model Parameters -- 4.2 Experiment Results -- 4.3 Effect of Data Balancing on Intrusion Detection in Wireless Sensor Networks -- 5 Conclusion and Future Work -- References -- Predicting, Profiling and Analysing Burnout of Nursery Staff -- 1 Introduction -- 2 Method and Material -- 2.1 Participants and Procedures -- 2.2 Measures -- 2.3 Statistical and Machine Learning-Based Analysis -- 3 Results and Discussion -- 4 Conclusions -- References -- Reasoning on Relational Database and Its Respective Knowledge Graph: A Comparison of the Results -- 1 Introduction -- 2 Dataset and Algorithms -- 2.1 Hetionet Dataset -- 2.2 Algorithms -- 3 Results and Discussion -- 4 Conclusion -- References -- Snippet Generation Using Local Alignment for Information Retrieval (LAIR) -- 1 Introduction -- 2 Related Work -- 3 Method and Material.
3.1 Sequence Alignment's Applicability to Information Retrieval -- 3.2 Document and Query Preprocessing Steps -- 3.3 Adapting Local Sequence Alignment to IR -- 3.4 Combining Local Sequence Alignment and Snippet Generation -- 4 Evaluation of Snippet Quality -- 5 Adaptation of LAIR for YouTube Search -- 6 Conclusions and Future Work -- References -- The Impact of Emotional Intelligence on Students with Extracurricular Activities and Regular Students -- 1 Introduction -- 2 Literature Review -- 3 Method and Material -- 3.1 Research Results - Students who Participate in Extracurricular Activities During their Studies -- 3.2 Research Results - Regular Students -- 3.3 Comparative Analysis -- 4 Discussion and Results -- 5 Conclusions and Future Work -- References -- The Relevance of Artificial Intelligence in Project Management -- 1 Introduction -- 2 Bibliographic Analysis -- 3 Findings -- 3.1 Information About Articles -- 3.2 Results of the Bibliometric Analysis -- 4 Conclusion -- References -- Weakly Supervised Relation Extraction -- 1 Introduction -- 2 Related Works -- 3 Method and Material -- 3.1 REPEL -- 3.2 Proposed Model -- 4 Discussion and Results -- 5 Conclusions and Future Work -- References -- Fitness Distance Balance Based Kepler Optimization Algorithm -- 1 Introduction -- 2 Method and Material -- 2.1 Preliminaries of the Metaheuristic Optimization Process -- 2.2 Kepler Optimization Algorithm -- 2.3 Fitness-Distance Balance -- 2.4 Fitness Distance Balance Based Kepler Optimization Algorithm -- 3 Results and Analysis -- 3.1 CEC2014 Benchmark Functions -- 3.2 CEC2017 Benchmark Functions -- 3.3 CEC2020 Benchmark Functions -- 3.4 CEC2022 Benchmark Functions -- 4 Conclusions -- References -- Analysis of Cervical Neoplasia with Artificial Intelligence -- 1 Introduction -- 2 Materials and Methods -- 2.1 Design of the Study and Patient Selection. 2.2 Smear Test and Hr HPV DNA Analysis -- 2.3 Analysis of Data and Application of Artificial Intelligence Technique -- 3 Results and Conclusions -- References -- Estimation of Meteorological Parameters Using Data Driven Methods -- 1 Introduction -- 2 Related Works -- 3 Method and Material -- 3.1 Random Forest Algorithm -- 3.2 Long Short-Term Memory -- 3.3 Geographical Characteristics of the Research Area -- 3.4 Data Preparation -- 4 Research Findings and Discussion -- 4.1 Data Preprocessing with Data Mining -- 4.2 Random Forest Algorithm Temperature Analysis Results -- 4.3 LSTM İle Sıcaklık Analiz Sonuçları -- 5 Conclusion -- References -- Deep Learning Based Anomaly Detection in the 3D Modeling Production Process -- 1 Introduction -- 2 Related Works -- 3 Material and Method -- 3.1 Material -- 3.2 Method -- 4 Research Findings -- 5 Discussion and Results -- References -- Least Core Computation of Weighted Voting Games -- 1 Introduction -- 2 Preliminaries -- 2.1 Weighted Voting Games -- 2.2 Bin Packing Problems -- 3 Least Core Computation of Weighted Voting Games -- 4 Sample Applications -- 4.1 Simple Weighted Voting Game -- 4.2 Multiple Weighted Voting Game -- 4.3 Disjunction of Weighted Voting Games -- 5 Conclusion -- References -- Evaluation of Authentication and Key Agreement Approaches of 5G Networks -- 1 Introduction -- 2 Architecture of 5G Networks -- 3 Architecture of 5G-AKA Protocol -- 3.1 5G-AKA Protocol -- 3.2 EAP-AKA Protocol -- 4 Security Services of the 5G Network -- 5 Security Loopholes in the 5G Network and 5G-AKA Protocol -- 5.1 Protection and Privacy in 5G -- 5.2 Bogus SN Attack -- 5.3 ToRPEDO Attack -- 5.4 SQN Mismatch Attack -- 5.5 SUCI Replay Attack -- 6 Related Work -- 7 Conclusion -- References -- Machine Learning Based Detection of Forest Fires Using Sensors Placed in Forests -- 1 Introduction -- 2 Material and Method. 2.1 Data Set -- 2.2 Feature Selection -- 2.3 Machine Learning -- 2.4 Performance Evaluation Criteria -- 3 Findings -- 4 Discussion -- 5 Conclusion -- References -- Exploring the Potential Interplay of GPT, Edge AI, and the Defense Industry -- 1 Introduction -- 2 Method and Material -- 2.1 GPT: Definition and Core Attributes -- 2.2 GPT: Applications Within Defense Operations -- 2.3 GPT: Challenges and Considerations -- 2.4 Edge AI: Transforming Decentralized Data Processing -- 2.5 Edge AI: Advantages for Defense Applications -- 2.6 Edge AI: Challenges and Considerations -- 3 Discussion, Conclusions, and Future Prospects -- References -- Examination of Tensile Strength of Polylactic Acid (PLA) Materials Processed by Fused Deposition Modeling (FDM) Additive Manufacturing Method at Different Production Parameters -- 1 Introduction -- 2 Method and Material -- 2.1 Fused Deposition Modeling (FDM) -- 2.2 Experimental Design -- 2.3 Tensile Strength Test -- 3 Discussion and Results -- 4 Conclusion -- References -- The Evolution of Technology in Artificial Intelligence and Its Impact on Project Management -- 1 Introduction -- 2 Fundamentals of AI -- 2.1 Defining AI -- 2.2 Machine Learning -- 2.3 Deep Learning (DL) -- 2.4 Optimization Algorithms and Hybrid Approaches -- 2.5 AI Application Fields -- 3 Methodology -- 3.1 Systematic Literature Review -- 3.2 Research Questions -- 3.3 Search Execution and Queries -- 4 Results -- 4.1 The Evolution of AI Technologies -- 4.2 The Evolution of AI Technologies in PM -- 4.3 Impact of AI on PM -- 5 Discussion -- 6 Conclusion -- References -- Laveraging Machine Learning for Improved Project Inspections and Internal Control Systems -- 1 Introduction -- 2 Methodology -- 3 Theoretical Background -- 3.1 The New Era of Project Audit Risk Management -- 3.2 Problem Identification and Predictive Insights. 3.3 The Power of Real-Time Auditing -- 3.4 Changing Role of Project Auditors -- 4 Challenges and Forward Path -- 5 Conclusions and Future Work -- References -- Author Index. |
| Record Nr. | UNINA-9910847598703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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