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Intelligence, Decision support systems, IoT
Dense Nearest Neighborhood Query
Explainable nonlinear modelling of multiple time series with invertible neural networks
Iterative Learning for Semi-automatic Annotation Using User Feedback
Residual Stress Prediction of Welded Joints Using Gradient Boosting Regression
A Novel Group Teaching Optimization Algorithm based Artificial Neural Network for Classification
On the Effects of Properties of the Minibatch in Reinforcement Learning
A novel migration simulation and prediction tool
Development Environment for Software-defined Smart City Networks
Robotics
Branch-Manoeuvring Capable Pipe Cleaning Robot for Aquaponic Systems
A Multi-Modal Auditory-Visual-Tactile e-Learning Framework
A Perspective on Intervention Approaches for Children with Autism Spectrum Disorder
framework for hazard identification of a collaborative Plug&Produce system
ML and AI for Intelligent Health, Applications of intelligent technologies in Emergency Management
Future Perspectives on Automated Machine Learning in Biomedical Signal Processing
DeepFireNet - A Light-Weight Model for Fire-Smoke Classification
Smart Electrical Energy Systems, AI and ML in Security
THD Reduction Comparison of Three Phase SPPS via Conventional RC and Novel PRESH Controller
Artificial Neural Network (ANN) trained by a Novel Arithmetic Optimization Algorithm (AOA) for Short Term Forecasting of Wind Power
Bode Plot Analysis of PRES and Novel PRESH controller interfaced with three phase GTSPPS
Energy tracing and blockchain technology: a primary review
Emulation of IEC 60870-5-104 Communication in Digital Secondary Substations
ML and AI for sensing technologies, Social Media Analytics
Point Cloud Instance Segmentation for Automatic Electric Vehicle Battery Disassembly
Radar-Based Passive Step Counter and its Comparison with a Wrist-Worn Physical Activity Tracker
Principles for the Arrangement of Social Media Listening Practices in Crisis Management
AMUSED: An Annotation Framework of Multi-modal Social Media Data
ML in energy sectors and materials
An evaluation of predictor variables for photovoltaic power forecasting
Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention
Detecting the linear and non-linear causal links for disturbances in the power grid
Machine Learning for PV System Operational Fault Analysis: Literature Review
Miscellaneous
An overview of Data Based Predictive Modeling Techniques used in Analysis of Vehicle Crash Severity
An Evaluation of Autonomous Car Simulators and their applicability for Supervised and Reinforcement Learning
Classification of Mechanical Fault-Excited Events based on Frequency
Intelligent Technologies in the Process of Recovering Historical, Cultural, and Heritage Value in Native Communities
Tensile Experiments on Adhesion between Aluminium Profiles and Glass
Machine learning for capacity utilization along the routes of an urban freight service.

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