Computational Science – ICCS 2021

Computational Methods for Emerging Problems in (dis-)Information Analysis.- The Methods and Approaches of Explainable Artificial Intelligence.- Fake or real? The novel approach to detect online disinformation based on multi ML classifiers.- Transformer Based Models in Fake News Detection.- Towards Model-Agnostic Ensemble Explanations.- Computational Methods in Smart Agriculture.- Bluetooth Low Energy Livestock Positioning for Smart Farming Applications.- Monitoring the Uniformity of Fish Feeding Based on Image Feature Analysis.- A new multi-objective approach to optimize irrigation using a crop simulation model and weather history.- Computational Optimization, Modelling and Simulation.- Expedited Trust-Region-Based Design Closure of Antennas by Variable-Resolution EM Simulations.- Optimum Design of Tuned Mass Dampers for Adjacent Structures via Flower Pollination Algorithm.- On Fast Multi-Objective Optimization of Antenna Structures Using Pareto Front Triangulation and Inverse Surrogates.- Optimizations of a Generic Holographic Projection Model for GPU's.- Similarity and Conformity Graphs in Lighting Optimization and Assessment.- Pruned simulation-based optimal sailboat path search using micro HPC systems.- Two stage approach to optimize electricity contract capacity problem for commercial customers.- Improved Design Closure of Compact Microwave Circuits by Means of Performance Requirement Adaptation.- Graph-grammar based longest-edge refinement algorithm for three-dimensional optimally p refined meshes with tetrahedral elements.- Elitism in Multiobjective Hierarchical Strategy.- Modelling and forecasting based on recurrent pseudoinverse matrices.- Semi-analytical Monte Carlo optimisation method applied to the inverse Poisson problem.- Modeling the contribution of agriculture towards soil nitrogen surplus in Iowa.- An Attempt to Replace System Dynamics with Discrete Rate Modeling in Demographic Simulations.- New On-Line Algorithms for Modelling, Identification and Simulation of Dynamic Systems Using Modulating Functions and Non-Asymptotic State Estimators: Case Study for a Chosen Physical Process.- Iterative global sensitivity analysis algorithm with neural network surrogate modeling.- Forecasting Electricity Prices: Autoregressive Hybrid Nearest Neighbors (ARHNN) method.- Data-Driven Methods for Weather Forecast.- Generic Case of Leap-Frog Algorithm for Optimal Knots Selection in Fitting Reduced Data.- Intelligent Planning of Logistic Networks to Counteract Uncertainty Propagation.- Modeling traffic forecasts with probability in DWDM optical networks.- Endogenous factors a ecting the cost of large-scale geo-stationary satellite systems.- Description of electricity consumption by using leading hours intra-day model.- The problem of tasks scheduling with due dates in a flexible multi-machine production cell.- Discovering the influence of interruptions in cycling training: A data science study.- Analysis of complex partial seizure using non-linear duffing Van der Pol oscillator model.- Computational Science in IoT and Smart Systems.- A Review on Visual Programming for Distributed Computation in IoT.- Data preprocessing, aggregation and clustering for agile manufacturing based on Automated Guided Vehicles.- Comparison of Speech Recognition and Natural Language Understanding Frameworks for Detection of Dangers with Smart Wearables.- A Decision Support System Based on Augmented Reality for the Safe Preparation of Chemotherapy Drugs.- Metagenomic analysis at the edge with Jetson Xavier NX.- Programming IoT-spaces: A User-Survey on Home Automation Rules.- Application of the Ant Colony algorithm for routing in next generation programmable networks.- Scalable Computing System with Two-Level Reconfiguration of Multi-Channel Inter-Node communication.- Real-time Object Detection for Smart Connected Worker in 3D printing.- Object-Oriented Internet - Cloud Interoperability.- Static and Dynamic Comparison of Pozyx and DecaWave UWB Indoor Localization Systems with Possible Improvements.- Challenges associated with sensors and data fusion for AGV-driven smart manufacturing.- Dynamic pricing and discounts by means of interactive presentation systems in stationary point of sales.- Profile-driven synthetic trajectories generation to enhance smart systems solutions.- Augmenting automatic clustering with expert knowledge and explanations.- Renewable energy-aware heuristic algorithms for edge server selection for stream data processing.- Dataset for anomalies detection in 3D printing.