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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions / / edited by Diego Oliva, Arturo Valdivia, Seyed Jalaleddin Mousavirad, Kanak Kalita
| Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions / / edited by Diego Oliva, Arturo Valdivia, Seyed Jalaleddin Mousavirad, Kanak Kalita |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XI, 806 p. 289 illus., 233 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-78440-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Metaheuristics theory and applications -- Machine learning -- Engineering applications. |
| Record Nr. | UNINA-9910999692503321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Hybrid Metaheuristic Algorithms for Image Processing / / edited by Diego Oliva, Salvador Hinojosa
| Applications of Hybrid Metaheuristic Algorithms for Image Processing / / edited by Diego Oliva, Salvador Hinojosa |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (486 pages) |
| Disciplina | 621.367 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Computational Intelligence Artificial Intelligence Signal, Speech and Image Processing |
| ISBN |
9783030409777
3030409775 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Segmentation Of Thermal Images By Means Of Metaheuristic Algorithms, For Failure Detection And Preventive Maintenance Of Electronic Systems -- A Survey on Image Processing for Hyperspectral and Remote Sensing Images -- Hybrid Grey-Wolf Optimizer Based Fractional Order Optimal Filtering for Texture Aware Quality Enhancement for Remotely Sensed Images -- Robust K- Means Technique For Band Reduction On Hyperspectral Image Segmentation -- Ethnic Characterization In Amalgamated People For Airport Security Using A Repository Of Images And Pigeon-Inspired Optimization (Pio) Algorithm For The Improvement Of Their Results} -- Multi-Level Image Thresholding Segmentation Using Non-Local Means 2d Histogram And Metaheuristics Algorithms -- Comparison Of Metaheuristic Methods For Template Matching -- Novel Feature Extraction Strategies Supporting 2d Shape Description And Retrieval -- Clustering Data Using Techniques Of Image Processing Erode And Dilate To Avoid The Use Of Euclidian Distance -- Estimation OfThe Homography Matrix To Image Stitching -- Active Contour Model in Deep Learning Era: A Revise and Review -- Comparison of Evolutionary Techniques for Car Accident Prediction -- Salp Swarm Algorithm: A Comprehensive Review -- Segmentation Of Magnetic Resonance Brain Images Through The Self-Adaptive Differential Evolution Algorithm And The Minimum Cross-Entropy Criterion -- Automatic Detection Of Malignant Masses In Digital Mammograms Based On A Mcet-Hho Approach -- Cancer Cell Prediction using Machine Learning and Evolutionary Algorithms -- Meta Heuristic Approach of RMDL Classification of Parkinson's disease -- Fuzzy- Crow Search Optimization for Medical Image Segmentation -- Intelligent System For The Visual Support Of Caloric Intake Of Food In Inhabitants Of A Smart City Using A Deep Learning Model -- Image Thresholding with Metaheuristic Algorithms for Cerebral Injuries -- Generative Adversarial Network And Retinal Image Segmentation. |
| Record Nr. | UNINA-9910485011103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for COVID-19 / / edited by Diego Oliva, Said Ali Hassan, Ali Mohamed
| Artificial Intelligence for COVID-19 / / edited by Diego Oliva, Said Ali Hassan, Ali Mohamed |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (585 pages) |
| Disciplina | 610.285 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Computational intelligence
Biomedical engineering Medical informatics Engineering - Data processing Computational Intelligence Biomedical Engineering and Bioengineering Health Informatics Data Engineering |
| ISBN | 3-030-69744-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Simulation of the relation between the number of COVID-19 death cases as a result of the number of handwashing facilities by using artificial intelligence -- Big data and big data analytics for COVID-19 epidemic -- Big data in COVID-19 assistance – Concepts, motivations, advances and applications in real-world -- Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a case study -- Factors affecting medical mask purchase decision in COVID-19 pandemic -- Classification approach for COVID-19 gene based on Harris hawks optimization. . |
| Record Nr. | UNINA-9910495348203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Differential Evolution: From Theory to Practice / / edited by B. Vinoth Kumar, Diego Oliva, P. N. Suganthan
| Differential Evolution: From Theory to Practice / / edited by B. Vinoth Kumar, Diego Oliva, P. N. Suganthan |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (389 pages) |
| Disciplina | 515.353 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Mathematical optimization Algorithms Computational Intelligence Artificial Intelligence Optimization |
| ISBN |
981-16-8082-5
981-16-8081-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis of Structural Bias in Differential Evolution Configurations -- Spherical Model of Population Dynamics in Differential Evolution -- Reinforcement Learning-based Differential Evolution for Global Optimization -- Analytical Study on the Role of Scale Factor Parameter of Differential Evolution Algorithm on its Convergence Nature -- The Trap of Sisyphus Work in Differential Evolution and How to Avoid It -- Investigations on Distributed Differential Evolution Framework with Fault Tolerance Mechanisms -- Differential Evolution for Water Management Problems -- Sobol Sequence Based MOSADE Algorithm for Multi-Objective Design of Water Distribution Networks -- A Comparative Study on Parameter Estimation of Covid Epidemiological Models using Differential Evolution Algorithm -- Applications of Differential Evolution in Electric Power Systems -- Detection of Heavy Sandstorm Regions using Composite Differential Evolution Algorithm -- A Hybrid Artificial Differential Evolution Gorilla Troops Optimizer for High Dimensional Optimization Problems. |
| Record Nr. | UNINA-9910743384403321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Computation Techniques: A Comparative Perspective / / by Erik Cuevas, Valentín Osuna, Diego Oliva
| Evolutionary Computation Techniques: A Comparative Perspective / / by Erik Cuevas, Valentín Osuna, Diego Oliva |
| Autore | Cuevas Erik |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XV, 222 p. 74 illus., 33 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-51109-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Multilevel segmentation in digital images -- Multi-Circle detection on images -- Template matching -- Motion estimation -- Photovoltaic cell design -- Parameter identification of induction motors -- White blood cells Detection in images -- Estimation of view transformations in images -- Filter Design. |
| Record Nr. | UNINA-9910254354703321 |
Cuevas Erik
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems / / edited by Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan
| Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems / / edited by Ali Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (282 pages) |
| Disciplina |
519.3
519.6 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-07512-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chaotic-SCA Salp Swarm Algorithm Enhanced with Opposition Based Learning: Application to Decrease Carbon Footprint in Patient Flow -- Design and Performance Evaluation of Objective Functions Based on Various Measures of Fuzzy Entropies for Image Segmentation using Grey Wolf Optimization -- Improved Artificial Bee Colony Algorithm with Adaptive Pursuit Based Strategy Selection -- Beetle Antennae Search Algorithm for the Motion Planning of Industrial Manipulator -- Solving Optimal Power Flow with Considering Placement of TCSC and FACTS Cost Using Cuckoo Search Algorithm. |
| Record Nr. | UNINA-9910590081903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems / / edited by Ali Wagdy Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan
| Handbook of Nature-Inspired Optimization Algorithms: The State of the Art : Volume II: Solving Constrained Single Objective Real-Parameter Optimization Problems / / edited by Ali Wagdy Mohamed, Diego Oliva, Ponnuthurai Nagaratnam Suganthan |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (220 pages) |
| Disciplina |
519.3
519.6 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-07516-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Particle swarm optimization based optimization for in-dustry inspection -- Ant Algorithms: from Drawback Identification to Quality and Speed Improvement -- Fault location techniques based on traveling waves with application in the protection of distribution systems with renewable energy and particle swarm optimization -- Improved Particle Swarm Optimization and Non-Quadratic Penalty Method for Non-Linear Programming Problems with Equality Constraints -- Recent Trends in Face Recognition Using Metaheuristic Optimization. |
| Record Nr. | UNINA-9910591038103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Metaheuristics in Machine Learning: Theory and Applications / / edited by Diego Oliva, Essam H. Houssein, Salvador Hinojosa
| Metaheuristics in Machine Learning: Theory and Applications / / edited by Diego Oliva, Essam H. Houssein, Salvador Hinojosa |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (765 pages) |
| Disciplina | 670.151 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Machine learning Computational Intelligence Machine Learning |
| ISBN | 3-030-70542-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cross Entropy Based Thresholding Segmentation of Magnetic Resonance Prostatic Images Using Metaheuristic Algorithms -- Hyperparameter Optimization in a Convolutional Neural Network Using Metaheuristic Algorithms -- Diagnosis of collateral effects in climate change through the identification of leaf damage using a novel heuristics and machine learning framework -- Feature engineering for Machine Learning and Deep Learning assisted Wireless Communication -- Genetic operators and their impact on the training of deep neural networks -- Implementation of metaheuristics with Extreme Learning Machines -- Architecture optimization of convolutional neural networks by micro genetic algorithms -- Optimising Connection Weights in Neural Networks using a Memetic Algorithm Incorporating Chaos Theory -- A review of metaheuristic optimization algorithms for wireless sensor networks -- A Metaheuristic Algorithm for Classification of White Blood Cells in Healthcare Informatics -- A Review of multi-level thresholding image segmentation using nature-inspired optimization algorithms -- Hybrid Harris Hawks Optimization with Differential Evolution for Data Clustering -- Variable Mesh Optimization for Continuous Optimization and Multimodal Problems -- Traffic control using image processing and deep learning techniques -- Drug Design and Discovery: Theory,Applications, Open Issues and Challenges -- Thresholding algorithm applied to Chest X-Ray images with Pneumonia -- Artificial neural networks for stock market prediction: a comprehensive review -- Image classification with Convolutional Neural Networks -- Applied Machine Learning Techniques to Find Patterns and Trends in the Use of Bicycle Sharing Systems Influenced by Traffic Accidents and Violent Events in Guadalajara, Mexico -- Machine Reading Comprehension (LSTM) Review (state of art) -- A Survey of Metaheuristic Algorithms for Solving Optimization Problems -- Integrating metaheuristic algorithms and minimum cross entropy for image segmentation in mist conditions -- A Machine Learning application for Particle Physics: Mexico’s involvement in the Hyper- Kamiokande observatory -- A novel metaheuristic approach for Image Contrast Enhancement based on gray-scale mapping -- Geospatial Data Mining Techniques Survey -- Integration of Internet of Things and cloud computing for Cardiac health recognition -- Combinatorial Optimization for Artificial Intelligence Enabled Mobile Network Automation -- Performance Optimization of PID Controller based on Parameters Estimation using Meta-Heuristic Techniques : A Comparative Study -- Solar Irradiation Changes Detection for Photovoltaic Systems through ANN trained with a Metaheuristic Algorithm -- Genetic Algorithm based Global and Local Feature Selection Approach for Handwritten Numeral Recognition. |
| Record Nr. | UNINA-9910492143403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) / / edited by Aboul-Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Fahmy M. Tolba
| Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) / / edited by Aboul-Ella Hassanien, Ahmad Taher Azar, Tarek Gaber, Diego Oliva, Fahmy M. Tolba |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (880 pages) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Computer vision Artificial intelligence Computational Intelligence Computer Vision Artificial Intelligence |
| ISBN | 3-030-44289-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483171103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Technological and Industrial Applications Associated with Industry 4. 0
| Technological and Industrial Applications Associated with Industry 4. 0 |
| Autore | Ochoa-Zezzatti Alberto |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (344 pages) |
| Altri autori (Persone) |
OlivaDiego
HassanienAboul Ella |
| Collana | Studies in Systems, Decision and Control Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-68663-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Introduction -- Contents -- Mobile Applications and Web Applications to Improve Competitiveness in Industry 4.0 -- Implementation of an Intelligent Model Based on Convolutional Neural Network for the Detection of Diseases in Citrus Crops Caused by Bird Pests Using an Intelligent Drone -- 1 Introduction -- 2 Project Development -- 2.1 Object Classifier and Object Detector -- 2.2 Artificial Neural Network -- 2.3 Convolutional Neural Network -- 2.4 Comparison Between an Artificial Neural Network and a CNN -- 2.5 Pixels and Neurons -- 2.6 Choice of the Crop to Be Analyzed -- 2.7 Process to Be Automated -- 3 Materials and Methods -- 3.1 Acquisition of the Images -- 3.2 Development of the Application -- 4 Results -- 5 Experimentation -- 6 Conclusions and Future Research -- References -- Intelligent Application to Detection of Arachnid Bites in Children Implementing Deep Learning Techniques, an AmI-Based Solution -- 1 Introduction -- 2 Implementation of the Intelligent Application -- 3 Spider Bite Recognition -- 3.1 Diagnosis, Prognosis and Follow-up -- 3.2 Treatment -- 3.3 Prevention -- 3.4 Methodological Proposal for the Recognition of an Arachnid Bite -- 4 Test Development -- 4.1 Module for the Recognition of Arachnids and their Bites -- 4.2 Results -- 5 Conclusions and Future Work -- References -- Evacuation Route Optimization in the Plaza de la Mexicanidad, Using Humanitarian Logistics -- 1 Introduction -- 2 Behavior of the Masses -- 2.1 Stampedes of the Masses -- 2.2 Pre-disaster Planning -- 2.3 Implementation of a Mass Victim Assistance System -- 3 Simulation Models -- 3.1 State of the Art -- 3.2 Mathematical Model -- 3.3 Simulated Case Studies and Comparison with Reality -- 3.4 Trajectory Simulation -- 4 Voronoi Diagram -- 5 Future Research and Works -- 6 Conclusions and Future Challenges -- References.
Automatic Fall Detection for the Care of Older Adults in Smart Cities -- 1 Introduction -- 2 Theory -- 2.1 Machine Learning -- 2.2 Layers -- 3 Proposed Methodology -- 3.1 Activation Functions -- 3.2 Training Parameters of a Neural Network -- 3.3 Tools Used for the Development of ANN Architectures -- 3.4 Video Processing -- 3.5 Action Recognition Through Video Sequences -- 4 Methods -- 4.1 Fall and Non-fall Labelling -- 4.2 Pre-processing -- 4.3 Architecture -- 4.4 Evaluation Metrics -- 5 Results -- 5.1 Training Results -- 5.2 Test Set Evaluation -- 6 Conclusions -- References -- Automatic Tumor Segmentation in Mammogram Images for Healthcare Systems in Smart Cities -- 1 Introduction -- 2 Literature Review -- 3 Theory Background -- 3.1 Deep Learning -- 3.2 Depthwise Layers -- 3.3 Non-local Processing -- 4 Mammogram Database -- 5 Deep Learning Architecture for Breast Tumor Detection -- 5.1 Architecture Design -- 5.2 Training -- 5.3 Implementation -- 6 Validation -- 7 Conclusions -- References -- Impact of Industry 4.0: Improving Hybrid Laser-Arc Welding with Big Data for Subsequent Functionality in Underwater Welding -- 1 Introduction -- 2 Industry 4.0 -- 2.1 The Origins -- 2.2 Industry 4.0 Techniques -- 3 Welding Technologies -- 3.1 Laser Beam Welding (LBW) -- 3.2 Gas Metal Arc Welding (GMAW) -- 3.3 Hybrid Welding -- 4 Optimization -- 4.1 Database -- 4.2 Multilayer Perceptron (MLP) -- 4.3 Sequential Minimal Optimization (SMO) -- 4.4 Other Techniques -- 5 Conclusions and Future Challenges -- References -- Interpersonal Relationships and Reciprocity: Their Influence in Knowledge Transfer Inside of Mexican Hotels -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Modern Technology Applications Including Metaheuristics and Artificial Intelligence Based Applications for Industry 4.0. Brainwaves Behavior During the Learning Curve Associated with the Manufacturing of a Product with Legos -- 1 Introduction -- 1.1 Theoretical Framework -- 2 Methodology -- 2.1 Standard Time Determination -- 2.2 Participants Involved in the Study -- 2.3 Experiment and Data Processing -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusions and Future Challenges -- References -- Audio Features Extraction to Develop a Child Activity Recognition Model Using Support Vector Machine to Monitoring Security in a Smart City -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description -- 2.2 Data Analysis -- 2.3 Model Validation -- 3 Experiments -- 3.1 Audio Recordings -- 3.2 Feature Extraction -- 3.3 Classification Model -- 3.4 Classification Process -- 4 Conclusion and Future Research -- References -- Sentiment Analysis Using Natural Language Processing Through a Speech Recognition System Using a Hybrid Mobile App -- 1 Introduction -- 2 Voice Recognition Algorithm Using Go -- 3 Sentiment Analysis Using a Rating System with Go -- 4 Hybrid Mobile App with Google Flutter Framework -- References -- Logistics of Hospitalization Patients with COVID and Ambulances Required -- 1 Introduction -- 2 Descriptions of the Model Components -- 2.1 The Shortest Route -- 2.2 The Shortest Path Algorithm -- 3 Proposal Methodology -- 3.1 Case-Based Reasoning to Solve Route Problems -- 4 The Proposed Model of Our Hybrid Algorithm -- 5 Experimental Results -- 6 Conclusion and Future Research -- References -- A Heuristic Method for Oil Distribution Networks Applied to the Switching Behavior in the Oil Industry -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- References -- Metaheuristics for Order Picking Optimisation: A Comparison Among Three Swarm-Intelligence Algorithms -- 1 Introduction -- 2 Literature Review. 2.1 Order Picking -- 2.2 Ant Colony Optimisation -- 2.3 Elephant Herding Optimisation -- 2.4 Bat Algorithm -- 3 Data Description -- 4 Computational Tests -- 5 Conclusions and Further Research -- References -- Implementation of an Intelligent Framework for the Analysis of Body Movements Through an Avatar Adapted to the Context of Industry 4.0 for the Recruitment of Personnel -- 1 Introduction -- 2 Theory -- 3 Equipment -- 3.1 Display -- 3.2 Virtual Reality Simulation Lens -- 3.3 The Mid-Range Cpu Intel Core I5-10600 K Versus Amd Ryzen 5 3600 -- 3.4 Graphic Card -- 4 Softwares -- 4.1 Body Tracking SDK Azure Kinect Integration -- 4.2 Procedure of Conducting the SDK Kinect Software -- 4.3 SQL Environment -- 5 Implemented Intelligent Application -- 5.1 Experiment and Implementation -- 5.2 Summary Statistics for Determine Industrial Process to Model -- 6 Conclusions -- References -- Industry 4.0 Optimization and Its Future Effects on Z Generation Focused on the Paradigm Shift of an Innovation Ecosystem -- Selection of Factors Influencing for Reliable Electrical Power Transmission Design in Industry 4.0 -- 1 Introduction -- 1.1 Thermal Behavior of the Power Cable -- 2 Underground Cable System in Industry 4.0 -- 3 Design of Experiments -- 4 Experimentation and Results -- 5 Conclusion -- References -- Analysis of Transport Logistics Operations at a Link in a Reverse Supply Chain that Values Used Cooking Oil -- 1 Introduction -- 2 Reverse Supply Chains and Logistics Transport Operations -- 3 Analysis of Transport Logistics Operations of Used Cooking Oil -- 3.1 The Mode of Transport Definition and Operation -- 3.2 Management of the Vehicle Capacity -- 3.3 Transport Risk Analysis -- 4 Results -- 5 Conclusions -- References -- The Transformation of Supply Chains in the Circular Economy from International Experiences to the Mexican Cases -- 1 Introduction. 2 Circular Economy and Supply Chains -- 3 Methodology -- 3.1 Literature Review -- 3.2 Economic Units (EU) Exploration by Kind of Material -- 4 Analysis of Descriptive Statistics -- 5 Challenges and Opportunities -- 6 Companies by Material, Link and Entity -- 7 Conclusions -- References -- Nanostores' Density and Geographical Location: An Empirical Study Under Urban Logistics Approach -- 1 Introduction -- 2 Empirical Study Design -- 3 Results Analysis -- 4 Findings, Limitations and Future Work -- 5 Conclusions -- References -- Blockchain Model Implementation to Select the Best Bid in an Industrial Supply Chain -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 3.1 Content Modeling -- 4 Results -- 5 Conclusions -- 6 Future Works -- References -- Sociodemographic Analysis of the Location of MSW Collection Centers in Mexico City -- 1 Introduction -- 2 Theoretical Framework -- 3 Materials and Methods -- 4 Results and Discussion -- 5 Conclusions -- References -- Classification System to Detect Diseases in Apples by Using a Convolutional Neural Network -- 1 Introduction -- 2 The Problem -- 3 The Solution -- 4 Conclusions and Future Research -- References. |
| Record Nr. | UNINA-9910497090903321 |
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Ochoa-Zezzatti Alberto
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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