Search Results - computer program mining data processing.

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Table of Contents: “...-- AT for Engineering Applications -- AI-Based Framework for Nutritional Label Processing and Consumer Guidance. -- Communication -- Monitoring and Control System for Treatment of Muscle Tears. -- Computing -- Systematic mapping of tools and platform for microservices deployment. -- Predicting Energy Generation in Ecuador Using Machine Learning. -- e-Learning -- Perception of ChatGPT in university students to solve mathematics exercises. -- Electronics -- Transmission Loss Mitigation and Angular Margins Enhancement via OTS and PV in the IEEE 62-Bus Benchmark. -- Selective Radiofrequency Hyperthermia System for Gastric Cancer Treatment. -- Technology Trends -- Comparison of metabolic indicators between administrative and operational workers in a company dedicated to the production of cocoa semi-finished products in Ecuador. -- Reviewing recent presidential election strategies in Ecuador: A systematic approach. -- Cryptocurrency Ranking Using Social Network Analysis. -- Optimization of corn cultivation using climate prediction and nonlinear programming. -- Mobile Application for Identification and Information of Medications for the Visually Impaired by OCR and Generative AI. -- Impact of prolonged screen use on the onset of Computer Vision Syndrome in administrative workers at a regional coordination office in Ecuador. -- Deep Learning Model for Short-Term Electricity Load Forecasting Based on SARIMA-LSTM Model with Data from Ecuador's National Interconnected System. -- Bibliometric Analysis of Scientific Production on Multicriteria Decision-Making (MCDM) Methods. -- Intelligent Systems -- Optimization of a machine learning model for disease detection in banana leaves using SVD. -- XCEPTION -BASED DEEP LEARNING MODEL FOR AUTOMATIC DETECTION OF COVID-19 IN CHEST X-RAYS. -- Predictive analytics to determine alcohol consumption at events between two cities by implementing a Data Pipeline feeding an LSTM model. -- Model for predicting dengue fever using machine learning in an Ecuadorian context. -- Framework for Implementing LLMS for Software Quality. -- Data Mining Algorithms Analysis for Species Conservation in the Galapagos Islands. -- Prediction Model for Academic Burnout using Machine Learning in University Students. -- Quantum and HPC-Aware Point Cloud Processing: A Semantic Segmentation Framework with Adaptive Attention. -- Identity-Based Key-Insulated Multi-Copy Provable Data Possession Scheme for Secure Multi-Cloud Storage. -- Dynamic Incremental Inverse Cloud Transformation for Uncertainty Modelling in Cloud Networking and Communication....”

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Table of Contents: “...Knowledge Discovery and Pattern Mining -- Fast Mining of Top-k Frequent Balanced Association Rules -- Towards Increasing Open Data Adoption through Stream Data Integration and Imputation -- Towards Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases -- Data-Driven Simulation of Ride-Hailing Services using Imitation and Reinforcement Learning -- Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases -- A Single-Stage Tree-Structure-Based Approach to Determine Fuzzy Average-Utility Itemsets -- Mining Episode Rules From Event Sequences Under Non-Overlapping Frequency -- Distributed mining of high utility time interval sequential patterns with multiple minimum utility thresholds -- Artificial Intelligence and Machine Learning -- Emergency Analysis: Multitask Learning with Deep Convolutional Neural Networks for Fire Emergency Scene Parsing -- Comparison of Consolidation Methods for Predictive Learning of Time Series -- Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification -- Understanding the Effects of Mitigation on De-identified Data -- Combining Siamese Network and Correlation Filter for Complementary Object Tracking -- Closed-Form Expressions for Global and Local Interpretation of Tsetlin Machines -- Explainable Reinforcement Learning with the Tsetlin Machine -- Sematic, Topology, and Ontology Models -- Semantic Technologies towards Missing Values Imputation -- An Improved Integer Programming Formulation for Inferring Chemical Compounds with Prescribed Topological Structures -- Automatic Classification for Ontology Generation by Pretrained Language Model -- Deep Learning Architecture for Topological Optimized Mechanical Design Generation with Complex Shape Criterion -- Computational Ontology and BIM Technology in Data-Driven Indoor Route Planning -- Collaborative Maintenance of EDOAL Alignments in VocBench -- DIKG2: a Semantic Data Integration Approach for Knowledge Graphs Generation from Web Forms -- Ontology-based Resume Searching System for Job Applicants in Information Technology -- An Approach to Expressing Metamodels' Semantics in a Concept System -- Medical and Health-Related Applications -- Birth-death MCMC Approach for Multivariate Beta Mixture Models in Medical Applications -- Intelligent Asthma Self-Management System for Personalised Weather-based Healthcare using Machine Learning -- Deep Forecasting of COVID-19: Canadian Case Study -- COVID-19 Genome Analysis using Alignment-Free Methods -- Deep Efficient Neural Networks for Explainable COVID-19 detection on CXR Images -- Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach -- Graphic and Social Network Analysis -- Configuration model of employee competences in a social media team -- The Extended Graph Generalization as a Representation of the Metamodels' Extensional Layer -- WawPart: Workload-Aware Partitioning of Knowledge Graphs -- Analysis of Sentimental Behaviour over Social Data Using Machine Learning Algorithms -- Signal and Bioinformatic Processing -- A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts -- Determining 2-Optimality Consensus for DNA structure -- Evolutionary Computation -- Utilizing Center-Based Sampling Theory to Enhance Particle Swarm Classification of Textual Data -- Conditional Preference Networks: Refining Solution Orderings beyond Pareto Dominance -- Enhancing Multi-Objective Evolutionary Neural Architecture Search with Surrogate Models and Potential Point-Guided Local Searches -- Insightful and Practical Multi-Objective Convolutional Neural Network Architecture Search with Evolutionary Algorithms -- Method for Automatic Furniture Placement Based on Simulated Annealing and Genetic Algorithm -- Attack and Security -- Recent Research on Phishing Detection through Machine Learning Algorithm -- A Transaction Classification Model of Federated Learning -- On the Assessment of Robustness of Telemedicine Applications against Adversarial Machine Learning Attacks -- A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications -- Natural Language and Text Processing -- Hierarchical Transformer Encoders for Vietnamese Spelling Correction -- Fast and Memory-efficient TFIDF Calculation for Text Analysis of Large Datasets -- Collapsed Gibbs Sampling of Beta-Liouville Multinomial for Short Text Clustering -- Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese -- Fuzzy Inference and Theory -- The behaviour of the product t-norm in combination with several implications in Fuzzy PID controller -- Hub and Spoke Logistics Network Design for Urban Region with Clustering-Based Approach -- Sensor and Communication Networks -- Smartphone Sensor-Based Fall Detection using Machine Learning Algorithms -- IPR-SN: Intelligent Packet Routing in Satellite Networks Based on Distributed Deep Reinforcement Learning....”
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Table of Contents: “...The Operator 4.0: New Physical and Cognitive Evolutionary Paths -- Facilitating Operator Participation in Continuous Improvement: An Investigation of Organizational Factors -- Improving the Safety of Using Didactic Setups by Augmented Reality -- Production Management as-a-Service: A Softbot Approach -- Knowledge Strategies for Organisation 4.0 -- Challenges for the Operator 3.0 Addressed Through the Enabling Technologies of the Operator 4.0 -- Agent- and Skill-based Process Interoperability for Socio-Technical Production Systems-of-Systems -- Digital Transformation Approaches in Production Management -- Challenges in Data Life Cycle Management for Sustainable Cyber-Physical Production Systems -- Explainable AI in Manufacturing: A Predictive Maintenance Case Study -- Retrofit Concept for Textile Production -- Organizational enablers for digitalization in manufacturing industry -- Concept of PLM application integration with VR and AR techniques -- The big potential of Big Data in manufacturing: evidence from emerging economies -- A conceptual model for deploying digitalization in SMEs through capability building -- The Potential of Game Development Platforms for Digital Twins and Virtual Labs: Case Study of an Energy -- The Application of ICT Software Solutions in Manufacturing Sector in Serbia -- Achieving Business Model Innovation with the Personalized Product Business Model Radar Template -- Integrating electronic components into 3D printed parts to develop a digital manufacturing approach -- Digital transformation and its potential effects on future management: Insights from an ETO context -- Applying contextualization for data-driven transformation in manufacturing -- Digital Transformation for more Sustainable Supply Chains -- Smart contract-based blockchain solution to reduce supply chain risks -- Towards sustainability: The manufacturers' perspective -- Data-Driven Applications in Smart Manufacturing and Logistics Systems -- Smart Factory Competitiveness based on real time Monitoring and Quality predictive model applied to multi-stages Production lines -- A New Application of Coordination Contracts for Supplier Selection in a Cloud Environment -- Workforce Assignment with a Different Skill Level for Automotive Parts Assembly Lines -- A framework of data-driven dynamic optimisation for smart production logistics -- Decentralized Industrial IoT Data Management Based on Blockchain and IPFS -- Integrated Platform and Digital Twin Application for Global Automotive Part Suppliers -- Analyzing the Characteristics of Digital Twin and Discrete Event Simulation in Cyber Physical Systems -- Streaming Analytics in Edge-Cloud Environment for Logistics Processes -- An Improvement in Master Surgical Scheduling using Artificial Neural Network and Fuzzy Programming -- SKOS Tool: A Tool for Creating Knowledge Graphs to Support Semantic Text Classification -- Data-Driven Services: Characteristics, Trends and Applications -- The successful commercialization of a digital twin in an industrial product service system -- Using Service Dominant logic to assess the value co-creation of Smart Services -- Engineering of data-driven Service Systems for Smart Living: Application and Challenges -- The role of service business models in the manufacturing of transition economies -- System architecture analysis with network index in MBSE approach -Application to smart interactive service with digital health modeling -- The Data-Driven Product-Service Systems Design and Delivery (4DPSS) methodology -- Data-driven maintenance delivery framework: test in an Italian company -- Towards a Comparative Data Value Assessment Framework for Smart Product Service Systems -- Impact of platform openness on ecosystems and value streams in Platform-based PSS exemplified using RAMI 4.0 -- Industry 4.0 data-related technologies and servitization: a systematic literature review -- A framework to support value co-creation in PSS development -- The Future of Lean Thinking and Practice -- Utilizing Lean Thinking as a Means to Digital Transformation in Service Organizations -- On the Need of Functional Priority and Failure Risk Assessment to Optimize Human Resource Allocation in Public Service Organizations -- Assessing the Value of Process Improvement Suggestions -- On the Necessity for Identifying Waste in Knowledge Work Dominated Projects: A Case Study from Oil and Gas-Related Product Development Projects -- Lean Thinking: from the shop floor to an organizational culture -- Digital Lean Manufacturing and its Emerging Practices -- A Learning Roadmap for Digital Lean Manufacturing -- Investigating the Challenges and Opportunities for Production Planning and Control in Digital Lean Manufacturing -- New Forms of Gemba Walks and their Digital Tools in the Digital Lean Manufacturing World -- New Reconfigurable, Flexible or Agile Production Systems in the Era of Industry 4.0 -- A computational method for identifying the optimum buffer size in the era of Zero Defect Manufacturing -- A Bi-objective Scheduling Model for Additive Manufacturing with Multiple Materials and Sequence-dependent Setup Time -- Dynamic Distributed Job-Shop Scheduling Problem Consisting of Reconfigurable Machine Tools -- Towards a Non-Disruptive System for Dynamic Orchestration of the Shop Floor -- Assembly process design: performance evaluation under ergonomics consideration using several robot collaboration modes -- A Method of Distributed Production Management for Highly-Distributed Flexible Job Shops -- A Digital Twin modular framework for Reconfigurable Manufacturing Systems -- Reconfigurable Digitalized and Servitized Production Systems: Requirements and Challenges -- The impact of dynamic tasks assignment in paced mixed-model assembly line with moving workers -- Balancing and configuration planning of RMS to minimize energy cost -- Operations Management in Engineer-to-Order Manufacturing -- Factors affecting shipyard operations and logistics: A framework and comparison of shipbuilding approaches -- Using the Smartphone as an Augmented Reality Device in ETO Industry -- Exploring the Path Towards Construction 4.0: Collaborative Networks and Enterprise Architecture Views -- The Potential for Purchasing function to Enhance Circular Economy Business Models for ETO production -- Planning procurement activities in ETO projects -- Maturity model for successful cost transformation in ETO companies -- Backlog Oriented Bottleneck Management - Practical Guide for Production Managers -- Cross-functional coordination before and after the CODP: an empirical study in the machinery industry -- Production Management in Food Supply Chains -- Food Bank: A Proposal for Short Agri-Food Chains -- The New Frontiers in World Soybean Production: An Analysis of Savanna in Piaui, Brazil -- Prediction of cold chain transport conditions using data mining -- Environmental impact classification of perishable on-road transport using data mining -- Economic and Environmental Perfomance in Coffee Supply Chains: A Brazilian Case Study -- Managing Perishable Multi-Product Inventory with Supplier Fill-Rate, Price Reduction and Substitution -- Digital Technology Enablers for Resilient and Customer Driven Food Value Chains -- Gastronomic Service System Design -- Human-Robot Hybrid Service System Introduction for Enhancing Labor and Robot Productivity -- Forecasting Customers Visiting using Machine Learning and Characteristics Analysis with Low Forecasting Accuracy Days -- A study on menu planning method for managed meal -Consideration of the cost of ordering ingredients -- Service system design considering employee satisfaction -- Product and Asset Life Cycle Management in the Circular Economy -- Exploring synergies between Circular Economy and Asset Management -- Information flows supporting Circular Economy adoption in the manufacturing sector -- A conceptual model of the IT ecosystem for Asset Management in the global manufacturing context -- Production Ramp-up Strategies for Product -- Part Selection for Freeform Injection Molding: framework for development of a unique methodology -- A Model for Cost-Benefit Analysis of Production Ramp-up Strategies -- Key factors on utilizing the production system design phase for increasing operational performance -- Business Model Development for a Dynamic Production Network Platform -- Changeable Closed-Loop Manufacturing Systems: A Case Study of Challenges in Product Take-Back....”
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Table of Contents: “...Modelling Subjective Happiness with a Survey Poisson Model and XGBoost using an Economic Security Approach -- Monitoring web-based evaluation of online reputation in Barcelona -- Information Technology for the Synthesis of Optimal Spatial Configurations with Visualization of the Decision-Making Process -- Hybrid Approach to Combinatorial and Logic Graph Problems -- Energy Efficient Algorithms Used In Datacenters : A Survey -- Software Log Anomaly Detection Method using HTM Algorithm -- Logical Inference in Predicate Calculus with the Definition of Previous Statements -- Congestion Management Considering Demand Response Programs using Multi-objective Grasshopper Optimization Algorithm -- A Hardware accelerator implementation of Multilayer Perceptron -- Building a classifier of behavior patterns for semantic search based on cuckoo search meta-heuristics -- TETRA Enhancement Based on Adaptive Modulation -- Dynamic stability enhancement of grid connected wind system using grey wolf optimization technique -- A Comparative Analysis on wide area power system control with Mitigation the effects of imperfect medium -- Adware Attack Detection on IoT Devices using Deep Logistic Regression SVM (DL-SVM-IOT) -- Intrusion Detection System for Securing Computer Networks Using Machine Learning: A Literature Review -- An Exploration of Entropy techniques for Envisioning Announcement Period of Open Source Software -- Occurrence prediction of pests and diseases in rice of weather factors using Machine Learning -- A Literature Review on Generative Adversarial Networks with its Applications in Healthcare -- A Federated Search System for Online Property Listings Based on SIFT Algorithm -- Digital Brain Building a Key to Improve Cognitive Functions by an EEG-Controlled Videogames as Interactive Learning Platform -- Intelligent car cabin safety system through IoT application -- Utilization of Delmia Software for Saving Cycle Time in Robotics Spot Welding -- Data protection techniques over multi-cloud environment- a review -- Review Paper: Error Detection and Correction onboard Nanosatellites -- Kerala Floods : Twitter Analysis using Deep Learning Techniques -- An Improved DVFS Circuit and Error Correction Technique -- Effective Predictive Maintenance to overcome System Failures - A Machine Learning Approach -- IN-LDA: An Extended Topic Model for Efficient Aspect Mining -- Imbalance Rectification using Venn Diagram based Ensemble of Undersampling Methods for Disease Datasets....”
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