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Biblioteca

MARC Lista (tabellare)
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
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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 recognition
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]
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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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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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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 1 / / 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 1 / / 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 (291 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 3-031-56310-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Foreword -- Preface -- Contents -- A Brief Survey on Exploring the Application Areas and Scope of ChatGPT -- 1 Introduction -- 2 About ChatGPT -- 3 Usage Areas -- 3.1 ChatGPT as an Add-On to Already Existing Software -- 3.2 ChatGPT Usage in Daily Life -- 4 Potential Risks of ChatGPT and Concerns -- 4.1 Educational Problems -- 4.2 Academic Problems -- 4.3 Social and Being Biased Problems -- 4.4 Cyber Problems -- 5 Papers -- 5.1 Highlights -- 6 ChatGPT Future Work and Expectations -- 7 Conclusions -- References -- Academic Performance Classification: Use of Supervised Learning Approach in Educational Data Mining -- 1 Introduction -- 2 Method -- 3 Findings and Discussion -- 3.1 Findings for Research Question 1 -- 3.2 Findings for Research Question 2 -- 3.3 Findings for Research Question 3 -- 3.4 Findings for Research Question 4 -- 4 Conclusions and Future Work -- References -- Artificial Intelligence-Based Engineering Applications a Comprehensive Review of Application Areas, Impacts and Challenges -- 1 Introduction -- 2 Common AI Techniques -- 3 AI Engineering Applications -- 4 Impacts of AI -- 5 Challenges of AI -- 6 Conclusions and Future Work -- References -- Artificial Intelligence Based Estimation of Individuals' Daily Energy Requirements with Anthropometric Measurements and Demographic Information -- 1 Introduction -- 1.1 Literature Review -- 2 Material and Method -- 2.1 Data Collection -- 2.2 Feature Selection -- 2.3 Regression Machine Learning -- 2.4 Performance Evaluation Criteria -- 3 Results -- 4 Discussion -- 5 Conclusions -- 6 Future Work -- References -- Calculating Bus Occupancy by Deep Learning Algorithms -- 1 Introduction -- 2 Proposed Approach -- 2.1 Person Detection -- 2.2 Tracking -- 2.3 Counting -- 2.4 Calculating Bus Occupancy -- 3 Custom Dataset -- 3.1 People Counting Dataset -- 3.2 Overhead View Dataset.
4 Experiments -- 4.1 Results -- 5 Conclusions -- References -- Classification of Elective Courses According to Kolb Learning Style Inventory by Using Machine Learning Methods -- 1 Introduction -- 2 Material and Methods -- 2.1 Machine Learning Methods -- 2.2 Dataset -- 2.3 Performance Measurement Metrics -- 3 Results and Discussion -- 4 Conclusion -- References -- Investigation of the Best AP Method for Predicting Compressive Strength in RAC -- 1 Introduction -- 2 Immune Plasma Programming and Versions -- 2.1 Immune Plasma Programming (IPP) -- 2.2 Single Dose IPP Algorithm (sdIPP) -- 2.3 Quick IPP Algorithm (qIPP) -- 3 Experimental Design -- 3.1 Dataset and Features -- 3.2 Parameters -- 3.3 Performance Evaluation Criteria -- 4 Simulation Results -- 5 Conclusions -- References -- Classification of Facial Images and Moods Using Image-Based Algorithms -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 4 Discussion -- 5 Conclusions -- References -- "Clip" Thinking in Artificial Intelligence as the Tool of Agile Projects Management -- 1 Introduction -- 2 Research Methodology -- 3 The Clip Thinking Principles -- 4 Conceptual Model of Clip Thinking in Agile Project Management -- 5 Conclusions and Future Work -- References -- Computational Modeling of Trailing Operations by Autonomous Boat -- 1 Introduction -- 2 Boat Dynamics Model -- 3 Autonomous Control Model -- 4 Modeling Results -- 5 Conclusions -- References -- Deep Learning-Based Hyperparameter Tuning and Performance Comparison -- 1 Introduction -- 2 Related Works -- 3 Method and Material -- 4 Experimental Results -- 5 Discussion and Conclusion -- References -- Detection of Faults in High Voltage Power Transmission Lines Using Unmanned Aerial Vehicle with Artificial Intelligence Methods -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Method -- 3 Findings -- 4 Results.
References -- Developing a Comprehensive Emotion Lexicon for Turkish -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Creating the Emotion Vectors -- 3.2 Calculating TF-IDF for Emotions -- 3.3 Preparing Data for Testing -- 3.4 Calculating the Distance -- 3.5 Creating a Test GUI -- 4 Discussion and Results -- 5 Conclusion -- Appendix -- References -- A Hyper-Heuristic Approach to Solving Vehicle Routing Problem in Military Logistics Distribution -- 1 Introduction -- 2 Related Works -- 3 Method and Material -- 3.1 Overview of Deep Learning and YoloV8 -- 3.2 Overview of Hyper-Heuristic Algorithms -- 3.3 Problem Definition and Solution -- 3.4 The Proposed Hyper-Heuristic Algorithm -- 4 Discussion and Results -- 5 Conclusions and Future Work -- References -- Electricity Price Forecasting Using Automatic Programming Methods -- 1 Introduction -- 2 Automatic Programming Methods -- 3 Experimental Design -- 3.1 Dataset and Analysis -- 3.2 Parameters -- 3.3 Evaluation Criteria -- 4 Simulation Results -- 4.1 Analysis of RMSE Values with T-Test -- 5 Conclusion -- References -- Ethical Considerations and Challenges of AI Adoption in Project Management -- 1 Ethics Re-emerging in the Digital World -- 2 Implementation of Ethics in the Organizational Context -- 3 Ethics in Projects -- 4 Survey on Ethical Considerations and Challenges of AI Adoption in Project Management -- 4.1 Methods Used -- 4.2 Statistics and Analysis -- 5 Conclusions and Future Work -- References -- Feature Processing on Artificial Graph Node Features for Classification with Graph Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Method and Material -- 3.1 Overview of Graph Neural Networks -- 3.2 Featureless Graph Datasets and Feature Initialization Methods -- 3.3 Feature Initialization Based on Graph Measures and Clustering.
3.4 Feature Initialization and GNN Model Integration -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Graph Classification Experiments -- 5 Discussion -- 6 Conclusions and Future Work -- References -- Analyzing Bias in Machine Learning Models: Insights from the AlexNet Architecture on Balanced and Imbalanced Data -- 1 Introduction -- 2 Related Work -- 3 Method and Material -- 3.1 Research Hypothesis -- 3.2 Research Design -- 3.3 MNIST Dataset -- 3.4 EMNIST Digits Dataset -- 4 Testing -- 5 Results -- 5.1 MNIST Dataset -- 5.2 EMNIST Dataset -- 6 Discussion -- 6.1 Bias and Data Content -- 6.2 Accuracy and F1 Score Analysis -- 6.3 Special Case of Class 7 -- 7 Conclusion -- References -- Ghost-Free High Dynamic Range Imaging Based on Two-Stage Dense Image Alignment -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Alignment Based Methods -- 2.2 CNN Alignment Based Methods -- 3 Proposed Method -- 3.1 Alignment Network -- 3.2 Merging Network -- 4 Experiment -- 5 Conclusion -- References -- Log Anomaly Detection in Application Servers Using Deep Learning -- 1 Introduction -- 2 RNN Based Log Anomaly Detection -- 3 Dataset -- 3.1 Log Collection -- 3.2 Parsing Log Files -- 4 Feature Extraction from Log Files -- 5 Experimental Results and Discussions -- 6 Conclusions -- References -- Modelling Autonomous Vehicle Safety in Road Scenarios Considering User Behaviour -- 1 Introduction -- 2 Literature Review -- 2.1 Autonomous Vehicle -- 2.2 Advanced Driving Assistance System (ADAS) -- 3 Method -- 4 Analysis and Discussion -- 4.1 Driver's Individual Perspective -- 4.2 The Vehicle (t) -- 4.3 The Road (r) -- 4.4 Pedestrian Behaviour (b) -- 5 Recommendations -- 6 Conclusion -- References -- Author Index.
Record Nr. UNINA-9910847577803321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
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