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[null,"1.","Record Nr.",null,"UNISA996464442203316"]
[null,null,"Titolo",null,"Computer information systems and industrial Management : 20th international Conference, CISIM 2021, Ełk, Poland, September 24-26, 2021 : proceedings / / edited by Khalid Saeed, Jiří Dvorský"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-84340-8"]
[null,null,"Descrizione fisica",null,"1 online resource (497 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science ; ; v.12883"]
[null,null,"Disciplina",null,"004.6"]
[null,null,"Soggetti",null,"Computer networks"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Keynotes -- Toward the Automation of Security Analysis, Design and Assessment in the Development Process -- Experiments, Methods, Measurements, Instruments: A Few Details -- Logic Constructs with Information Granules: Data Analytics -- Contents -- Invited Paper -- Importance of Variables in Gearbox Diagnostics Using Random Forests and Ensemble Credits -- 1 Introduction -- 2 Methods: The Random Forest and Ensemble Credits -- 2.1 Random Forest as Composed from Binary Decision Trees -- 2.2 The `mtry' and `variables Importance' Options of RFs -- 2.3 Our Proposal: Create an Ensemble of VIPs Providing Credit Scores -- 3 Results of Calculations -- 3.1 Classification and VIPs Using RFs -- 3.2 Computing Credits Scores in an Ensemble Learning -- 3.3 Neural Networks Check the Top FIVE and Top SEVEN Variables -- 4 Summary and Concluding Remarks -- References -- Biometrics and Pattern Recognition Applications -- Typing Pattern Analysis for Fake Profile Detection in Social Media -- 1 Introduction -- 2 Background -- 3 Related Works -- 4 Proposed Work: DEEPID -- 4.1 Data Collection -- 4.2 Data Processing -- 4.3 Multi-view Multi-class Learning -- 5 Analysis -- 5.1 Fake Profile Detection -- 5.2 Social Media Profile Hijacking -- 6 Conclusions -- References -- Determination of the Most Relevant Features to Improve the Performance of RF Classifier in Human Activity Recognition -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Feature Extraction -- 3.2 Process Stages -- 4 Analysis of Results -- 5 Conclusions -- References -- Augmentation of Gait Cycles Using LSTM-MDN Networks in Person "]
[{"$nulls":4},"Identification System -- 1 Introduction -- 2 State-of-the-Art -- 2.1 IMU Data Augmentation -- 2.2 LSTM-MDN Data Generation -- 3 Methodology -- 3.1 Dataset -- 3.2 Gait Cycle Augmentation -- 3.3 Architecture of the Classifier."]
[{"$nulls":4},"4 Identification Results -- 5 Conclusions and Future Work -- References -- Raspberry Pi-Based Device for Finger Veins Collection and the Image Processing-Based Method for Minutiae Extraction -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 The Device for Finger Veins Samples Collection -- 3.2 Image Processing for Finger Veins Feature Extraction -- 4 Experiments -- 5 Conclusions and Future Work -- References -- Identification of Humans Using Hand Clapping Sounds -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Acquisition of Clapping Sounds -- 3.2 Segmentation and Signal Conditioning -- 3.3 Feature Extraction -- 3.4 Machine Learning -- 4 Results -- 4.1 Spectral Analysis -- 4.2 Room-Dependent Versus Room-Independent Tests -- 4.3 Influence of the Number of Clap Sounds Used for Training -- 5 Discussion and Conclusions -- References -- III Computer Information Systems and Security -- Analyzing and Predicting Colombian Undergrads Performance on Saber-Pro Test: A Data Science Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 DataSet Construction -- 2.2 Dataset Appending -- 2.3 Dataset Merging -- 2.4 Dataset Cleaning -- 3 Exploratory Data Analysis (EDA) -- 4 Construction DashBoard -- 4.1 Architecture -- 4.2 General Panel -- 4.3 University Panel -- 4.4 Location Panel -- 4.5 Predict Scores Panel -- 4.6 Which Factors Matter -- 5 Results -- 6 Conclusions -- References -- Development of Digital Competences of Elementary School Teachers with a Life-Long Learning Approach -- 1 Introduction -- 2 Related Work -- 3 Project Description -- 3.1 Basic Information -- 3.2 Project Details -- 4 Methodology -- 4.1 Pre- and Post-questionnaire Details -- 5 Results Analysis -- 6 Conclusions and Future Research -- References -- Design of Web Application with Dynamic Generation of Forms for Group Decision-Making -- 1 Introduction."]
[{"$nulls":4},"2 Problem Description -- 3 Algorithm for Designing of a Web Application to Support Group Decision-Making -- 4 Numerical Testing and Discussion -- 5 Conclusions -- References -- Neural Networks as Tool to Improve the Intrusion Detection System -- 1 Introduction -- 2 Related Techniques -- 2.1 Feature Selection Techniques in IDS Systems -- 2.2 Training and Classification Techniques -- 3 Data Set Processing -- 4 Simulation Scenarios and Results -- 5 Conclusions -- References -- Anonymous Group Signature Scheme with Publicly Verifiable General Access Structure -- 1 Introduction -- 1.1 Related Works -- 1.2 Our Contribution -- 1.3 Paper Organisation -- 2 Certificate-Based Group Signature Scheme with General Access Structure -- 3 Discussion -- 3.1 Security Analysis -- 3.2 Performance Evaluation -- 4 Conclusion -- References -- A Novel Proposal of Using NLP to Analyze IoT Apps Towards Securing User Data -- 1 Introduction -- 2 Related Work -- 3 Research Gap -- 4 Proposed Framework -- 4.1 Outlier Detection with Isolation Forest Algorithm -- 5 Comparative Analysis with CHABADA -- 6 Conclusion -- References -- Addressing the Permutational Flow Shop Scheduling Problem Through Constructive Heuristics: A Statistical Comparison -- 1 Introduction -- 2 Literature Review -- 2.1 Johnson's Rule -- 2.2 Palmer Heuristic -- 2.3 Gupta Heuristic 1 -- 2.4 Gupta Heuristic 2 -- 2.5 CDS Heuristic -- 2.6 NEH Heuristic -- 2.7 PAS Heuristic -- 3 Study Case -- 4 Conclusions and Analysis of Results -- References -- ICBAKE 2021 Workshop -- Search for a Flavor Suited to Beverage by Interactive Genetic Algorithm -- 1 Introduction -- 2 Interactive Genetic Algorithm Creating Scents Suited to User's Feelings -- 2.1 Genetic Algorithm and Interactive "]
[{"$nulls":4},"Genetic Algorithm -- 2.2 IGA Creating Scents -- 3 Smelling Experiment -- 3.1 Experimental Procedure -- 3.2 Settings of IGA and Source Aromas."]
[{"$nulls":4},"4 Results -- 4.1 Results of the Searching Experiment -- 4.2 Result of the Evaluating Experiment -- 5 Discussion -- 6 Conclusion -- References -- Investigation of Facial Preference Using Gaussian Process Preference Learning and Generative Image Model -- 1 Introduction -- 2 Gaussian Process Preference Learning -- 3 Facial Image Generation -- 3.1 StyleGAN2 -- 3.2 Construction of Latent Facial Subspace -- 4 Assessment of Attractiveness -- 4.1 Methods -- 5 Results and Discussion -- 6 Conclusion -- References -- Evaluation of Strong and Weak Signifiers in a Web Interface Using Eye-Tracking Heatmaps and Machine Learning -- 1 Introduction -- 2 Related Works -- 2.1 Usability Evaluation Using Eye-Tracking -- 2.2 Machine Learning -- 2.3 Principal Component Analysis -- 3 Methodology -- 3.1 Proposed Procedure -- 3.2 Gathering of Dataset -- 3.3 Data Preparation -- 3.4 Building Classification Models -- 3.5 Model Evaluation -- 4 Results and Discussion -- 5 Conclusion -- References -- Applying Artificial Bee Colony Algorithm to Interactive Evolutionary Computation -- 1 Introduction -- 2 Proposed Method -- 2.1 ABC Algorithm -- 2.2 Flow of the Proposed Method -- 3 Numerical Simulations -- 3.1 Outline of the Simulation -- 3.2 Multimodal Kansei Evaluation Model -- 4 Results and Discussion -- 4.1 Tuning of Each Parameter -- 4.2 Retrieval for Target Candidate Solutions -- 5 Conclusion -- References -- Emotion Estimating Method by Using Voice and Facial Expression Parameters -- 1 Introduction -- 2 Experiment -- 2.1 Outline of Experiment -- 2.2 Parameter Extraction -- 3 Audiovisual Parameters for Machine Learning -- 3.1 Voice Parameters -- 3.2 Facial Expression Parameters -- 4 Proposal Method of Emotion Estimating Using Machine Learning -- 4.1 Analysis Conditions for Support Vector Machine (SVM) -- 4.2 Classification Results and Consideration -- 5 Conclusions -- References."]
[{"$nulls":4},"Industrial Management and other Applications -- Multilayer Perceptron Applied to the IOT Systems for Identification of Saline Wedge in the Magdalena Estuary - Colombia -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Software Architecture Details -- 3.2 Machine Learning Approach -- 4 Model and Materials -- 5 Conclusions -- References -- Assessment of Organizational Policies in a Retail Store Based on a Simulation Model -- 1 Introduction -- 2 Brief Literature Review -- 3 Methodology -- 4 Case Study -- 4.1 Problem Description -- 4.2 Variables -- 4.3 Model Design -- 4.4 Policy Assessment -- 5 Conclusion -- References -- Locating Sea Ambulances to Respond to Emergencies of Vulnerable Populations. Case of Cartagena Bay in Colombia -- 1 Introduction -- 2 Methodology -- 2.1 Characterization of Healthcare Facilities -- 2.2 Characterization of Vulnerable Populations -- 2.3 Optimal Location for Ambulance Boats -- 3 Results -- 4 Conclusions -- References -- Toward a Unique IoT Network via Single Sign-On Protocol and Message Queue -- 1 Introduction -- 2 Background -- 2.1 MQTT Protocol -- 2.2 OAuth Protocol and Single Sign-On -- 2.3 Kafka -- 3 Related Work -- 3.1 OAuth and MQTT -- 3.2 Kafka and MQTT -- 4 IoT Platform Proposal -- 4.1 System Architecture -- 4.2 Software Architecture -- 5 Implementation -- 5.1 Database -- 5.2 Single Sign-On -- 5.3 Mosquitto MQTT Broker -- 5.4 Prototype System Deployment Model -- 6 Evaluation -- 7 Conclusion -- References -- Machine Learning and Artificial Neural Networks -- Multi-objective Approach for Deep Learning in Classification Problems -- 1 Introduction -- 2 Related Work -- 3 Distributed Multi-objective Differential Evolution and Tabu "]
[{"$nulls":4},"Mutation DMD+ -- 4 Experimental Results -- 5 Conclusions and Remarks -- References."]
[{"$nulls":4},"A First Step Towards Automated Species Recognition from Camera Trap Images of Mammals Using AI in a European Temperate Forest."]