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[null,null,"Titolo",null,"Artificial Intelligence and Green Computing : Proceedings of the International Conference on Artificial Intelligence and Green Computing / / Najlae Idrissi [and five others], editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"3-031-46584-9"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (311 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems Series ; ; Volume 806"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computer science - Environmental aspects"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[{"$nulls":3},"Livello bibliografico","Monografia"]
[{"$nulls":3},"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Organization -- Preface -- Contents -- Artificial Intelligence for Multimedia Processing -- Low 3D-HEVC Depth Map Intra Modes Selection Complexity Based on Clustering Algorithm and an Efficient Edge Detection -- 1 Introduction -- 2 Structure Tensors and AM-PCM Algorithm with the Features Selections -- 2.1 Structure Tensors -- 2.2 AM-PCM Algorithm with the Features Selections -- 3 Proposal Intra-Decision Model -- 4 Experimental Results -- 5 Conclusion -- References -- Longitudinal Study of the Thyroid Surgery Effect Based on Computer Vision -- 1 Introduction -- 2 Dataset Preparation -- 2.1 Acquisition -- 2.2 Determining the Cycles -- 2.3 Delimitation of Regions of Interest -- 3 Feature Extraction -- 3.1 Salient Informations -- 3.2 Definition of the Descriptors -- 3.3 Set of Features -- 4 Statistical Analysis -- 4.1 Motivation -- 4.2 Principle of the Univariate ANOVA Test -- 4.3 Experimental Results of the ANOVA Test -- 4.4 Multivariate Statistical Test -- 4.5 Experimental Results with Automatic Segmentation -- 5 Conclusion -- References -- Pectoral Muscle Segmentation Using Mammogram Images in Medio Lateral Oblique View -- 1 Introduction -- 2 Background -- 3 The Proposed Approach -- 3.1 Preprocessing -- 3.2 Segmentation -- 4 Experiments and Discussion -- 4.1 Evaluation Metrics -- 5 Conclusion -- References -- A Nearest Neighbor-Based Hamiltonian Clustering Algorithm -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Computing the Nearest Neighbor Hamiltonian Path -- 3.2 Finding the Clusters -- 3.3 "]
[{"$nulls":4},"Assembling Clusters -- 4 Experiments and Comparative Results -- 5 Conclusion -- References -- An Acoustic Analysis of Voice Before and After Thyroidectomy -- 1 Introduction -- 1.1 Background -- 2  Methodology -- 3 Materials -- 3.1 Features Extraction -- 4 Results -- 4.1 Discrimination Abilities -- 5 Discussion -- 6 Conclusion."]
[{"$nulls":4},"References -- Estimation of Water Turbidity by Image-Based Learning Approaches -- 1 Introduction -- 2 Database Production -- 2.1 Sampled Image Acquisition -- 2.2 Data Preparation -- 2.3 Producing the Annotated Dataset -- 3 Conventional Machine Learning Methods -- 3.1 Motivations -- 3.2 Textural Features -- 3.3 Color Features -- 3.4 Classification -- 4 Deep Learning Methods -- 4.1 Proposed Architectures -- 4.2 Data Augmentation -- 5 Experimental Results -- 5.1 Selection of the Best Combination of Handcrafted Features -- 5.2 Performances of Machine Learning Methods -- 5.3 Performance of the DL Approaches -- 5.4 Comparison Between ML and DL Approaches -- 6 Conclusion -- References -- An Image Compression Approach Based on Convolutional AutoEncoder -- 1 Introduction -- 2 State of the Art -- 3 Methods -- 3.1 The Proposed Compression Network -- 3.2 Baseline Network -- 4 Experiment Results -- 5 Conclusion -- References -- Offline Writer Identification Based on Diagonal Gradient Angle of Small Fragments -- 1 Introduction -- 2 Methodology -- 2.1 Diagonal Gradient Angle Histogram (DGAH) -- 2.2 Vector of Locally Aggregated Descriptors (VLAD) -- 3 Experimental Study -- 3.1 Datasets -- 3.2 Sensitivity to Fragment Size -- 3.3 Impact of HDGA Dimension -- 3.4 Impact of the Number of Fragments -- 3.5 Comparison with State of Art -- 4 Conclusion -- References -- Enhanced Aircraft Time Delay Prediction Using Weighted Hybrid ML and Dimensionality Reduction -- 1 Introduction -- 2 Time Flight Delay Predictions -- 2.1 Data Description -- 2.2 Feature Selection and Reduction -- 2.3 Machine Learning Algorithms to Estimate the Time Flight Delays -- 3 Proposed Work, Result and Discussion -- 3.1 The Dataset -- 3.2 Implementation -- 4 Conclusion and Future Work -- References -- Artificial Intelligence for Distributed Computing."]
[{"$nulls":4},"Performances Evaluation of LRP Protocol in Wireless Sensor Network -- 1 Introduction -- 2 Related Works -- 3 Proactive, Reactive Routing Protocol -- 4 LOADng Protocol Overview -- 4.1 LOADng Message Format -- 4.2  Protocol Operations -- 5 RPL Protocol Overview -- 5.1 The DODAG Topology in RPL -- 6 LRP Protocol Overview -- 6.1 Collection Tree -- 6.2 Traffic Distribution -- 6.3 Tree Maintenance -- 7 Simulation and Results -- 7.1 Simulation Parameters -- 7.2 Performances Assessment -- 7.3 Results and Discussion -- 8 Conclusion -- References -- Maximization of Lifetime in Wireless Sensor Networks Using Pattern Search Algorithm -- 1 Introduction -- 2 Related Works -- 3 Modelling and Problem Formulation -- 4 Solving the Modeled Problem -- 4.1 Description of Pattern Search Algorithm (PSA) -- 4.2 Example of Explanation -- 5 Simulation and Results -- 6 Conclusion -- References -- Task Deadline-Based Computation Offloading Algorithm for Service Time Minimization in Mobile Edge Computing -- 1 Introduction -- 2 Related Works -- 3 Proposed Algorithm in MEC System -- 3.1 Multi-layer Mobile Edge Computing Architecture -- 3.2 Proposed Selection Algorithm -- 3.3 Reference Solutions -- 4 Performance Evaluation -- 4.1 Simulation Environment -- 4.2 Experimental Setup -- 4.3 Simulation Results -- 5 Conclusion -- References -- Detection of Web-Based Attacks using Tree-Based Learning Models: An Evaluation Study -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Benchmark Dataset -- 3.2 Proposed Web Attack Detection Approach -- 3.3 Evaluation Metrics -- 3.4 Experiment Environment -- 4 Results and Discussions -- 5 Conclusion "]
[{"$nulls":4},"-- References -- Energy Minimization in Wireless Sensor Networks Based Bio-Inspired Algorithms -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 PSO-Based Clustering Configuration Phase -- 3.2 The Routing Phase."]
[{"$nulls":4},"4 Results And Discussion -- 5 Conclusion -- References -- Heuristic Optimization of the LEACH Routing Protocol in Wireless Sensor Networks -- 1 Introduction -- 2 Overview of Leach Protocol and Its Modifications -- 2.1 Leach -- 2.2 LE ACH-B (Balanced Low Energy Adaptive Clustering Hierarchy) -- 2.3 I- LEACH (Improved Low Energy Adaptive Clustering Hierarchy) -- 3 Radio Model -- 4 Euristic Optimization of the Leach Routing Protocol -- 5 Heuristic Function -- 6 Performance Evaluation of Fonctions Heuristics Proposed -- 7 Comparison of Our Approach with Other Clustering Protocols -- 8 Conclusion -- References -- Artificial Intelligence Applications -- Toward Understanding the Impact of Demographic Factors on Cybersecurity Awareness in the Moroccan Context -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Research -- References -- Health Data Security in a Big Data Environment -- 1 Introduction -- 2 Health Information System -- 2.1 Health Data -- 2.2 Health Information Systems -- 3 Big Data Technology -- 3.1 Definition -- 3.2 The Characteristics of Big Data -- 3.3 Apache Hadoop -- 3.4 HDFS -- 4 Data Security -- 4.1 Definition -- 4.2 Security of Health Data -- 5 Health Data Security in a Big Data Environment -- 5.1 Hadoop for Health -- 5.2 Hadoop Vulnerability -- 5.3 The Proposed Solution -- 6 Conclusion -- References -- Handling the ED Problem Using a DTSA in Smart Grids -- 1 Introduction -- 2 Smart Grids Overview -- 2.1 Smart Grids Definition -- 2.2 Smart Grids Operation -- 2.3 The Advantages and Limits of Smart Grid -- 3 Mathematical Modeling of the Smart Grid Economic Dispatch -- 3.1 Economic Dispatch -- 3.2 Model Formulation -- 3.3 Optimization Constraints for ED Problems -- 4 The Application of DTSA to the Economic Dispatch Problem -- 4.1 Recent Tabu Search Algorithm."]
[{"$nulls":4},"5 Distributed Tabu Search Algorithm -- 5.1 Case Study -- 6 Discussion and Results -- 7 Conclusion -- References -- Multivariate Time Series Data Prediction Based on Social Sentiments Community and LSTM Method (S-S-LSTM) -- 1 Introduction -- 2 Related Works -- 2.1 Sentiment Analysis for Vaccination Prediction -- 2.2 LSTM -- 3 Methodology -- 4 Experiments -- 4.1 Datasets Used -- 4.2 Implementation of the Method S-S-LSTM -- 4.3 Detection of Topic-Based Communities -- 4.4 Sentiment Classification and Measurement -- 4.5 Implementation of Forecasting Model -- 5 Conclusions and Future Work -- References -- Improving Wheat Yield Estimating by Using Satellites Data and Machine Learning-Deep Learning Algorithm-In Morocco -- 1 Introduction -- 2 Data and Methods -- 2.1 Study Area -- 2.2 Ground Data and Remote Sensing Data -- 2.3 Methodology -- 3 Result -- 3.1 Importance of Predictor Variables in Yield Estimation -- 3.2 Model Comparisons on Yield Predictions at a Field Level -- 4 Conclusion -- References -- Online Process Mining: A Systematic Literature Review -- 1 Introduction -- 2 Online Process Mining: An Overview -- 3 Research Design and Methodology -- 4 Research Results and Discussion -- 4.1 Covered Techniques -- 4.2 Online Process Discovery -- 4.3 Online Conformance Checking -- 4.4 Online Concept Drift Detection -- 4.5 Online Anomaly Detection -- 4.6 Process Predictive Analytics -- 5 Conclusion -- References -- Machine Learning with Nighttime Lights to Predict Morocco's Gross Domestic Product -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Data -- 3.2 Predictions Models -- 4 Evaluation "]
[{"$nulls":4},"Metrics -- 4.1 Mean Absolute Error -- 4.2 Root Mean Squared Error -- 4.3 R2 Error -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- Author Index."]