Technological Innovation for Applied AI Systems [electronic resource] : 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Costa de Caparica, Portugal, July 7–9, 2021, Proceedings /

Collaborative Networks -- AI and Simulation for Performance Assessment in Collaborative Business Ecosystems -- The Benefits of Applying Social Network Analysis to Identify Collaborative Risks -- A Mixed Method for Assessing the Reliability of Shared Knowledge in Mass Collaborative Learning Community -- Smart Manufacturing -- Characteristics of Adaptable Control of Production Systems and the Role of Self-Organization To-wards Smart Manufacturing -- Predictive Manufacturing: Enabling Technologies, Frameworks and Applications -- Control of Manufacturing Systems by HMS / EPS Paradigms Orchestrating I4.0 Components Based on Capabilities -- A Framework for Self-Configuration in Manufacturing Production Systems -- Cyber-Physical Systems and Digital Twins -- Verification of the Boundedness Property in a Petri Net-based Specification of the Control Part of Cyber-Physical Systems -- Collaborative Cyber-Physical Systems Design Approach: Smart Home Use Case -- Digital Twin for Supply Chain Master Planning in Zero-Defect Manufacturing -- Intelligent Decision Making -- Matheuristic Algorithms for Production Planning in Manufacturing Enterprises -- Assessment of Sentinel-2 Spectral Features to Estimate Forest Height with the New GEDI Data -- Assessing Normalization Techniques for TOPSIS Method -- How Can e-grocers Use Artificial Intelligence Based on Technology Innovation to Improve Supply Chain Management? -- A Conceptual Framework of Human-System Interaction Under Uncertainty-Based on Shadow System Perspective -- A New Challenge for Machine Ethics Regarding Decision-Making in Manufacturing Systems -- Smart Energy Management -- Towards a Hybrid Model for The Diffusion of Innovation in Energy Communities -- Towards Extension of Data Centre Modelling Toolbox with Parameters Estimation -- Power Transformer Design Resorting to Metaheuristics Techniques -- Communications and Electronics -- Detection of Signaling Vulnerabilities in Session Initiation Protocol -- Interference Power Characterization in Directional Networks and Full-Duplex Systems -- FEM-parameterized Sensorless Vector Control of PMSM Using High-Frequency Voltage Injection -- Classification Systems -- Deep Learning-Based Automated Detection of Inappropriate Face Image Attributes for ID Documents -- Automatic Cognitive Workload Classification Using Biosignals for Distance Learning Applications -- Design of an Attention Tool Using HCI and Work-Related Variables -- Smart Healthcare Systems -- Assessment of Visuomotor and Visual Perception Skills in Children: A New Proposal Based on a Systematic Review -- Benefits, Implications and Ethical Concerns of Machine Learning Tools serving Mental Health Purposes -- Multi-agent System Architecture for Distributed Home Health Care Information Systems -- Medical Devices -- Analysis of Electromyography Signals for Control Models of Power-Assisted Stroke Rehabilitation Devices of Upper Limb System -- AI-based Classification Algorithm of Infrared Images of Patients with Spinal Disorders -- Improvements on Signal Processing Algorithm for the VOPITB Equipment -- Pilot Study for Validation and Differentiation of Alveolar and Esophageal Air -- Application of Machine Learning Methods to Ra-man Spectroscopy Technique in Dentistry -- Gas Chromatography-Ion Mobility Spectrometry Instrument for Medical Applications: A Calibration Protocol for ppb and ppt Concentration Range.

Chapters “Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing” and “Predictive Manufacturing: Enabling Technologies, Frameworks and Applications” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.