Browsing by Subject "Optimisations"
Now showing items 21-28 of 28
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Parameter effects and process modeling of FFF-TPU mechanical response
(2021)Fused Filament Fabrication (FFF) process employs thermoplastic materials in filaments form to build functional components by selectively placing extruded material progressively in thin sheets. Thermoplastic Polyurethane ... -
Prediction and Optimization of the Cost of Energy Resources in Greek Public Hospitals
(2022)The continuous operation and the specialized conditions needed for safely delivering healthcare services make hospitals among the most expensive buildings. Several studies in different countries have investigated the ... -
A Proactive Statistical Model Supporting Services and Tasks Management in Pervasive Applications
(2022)The combination of the Internet of Things (IoT) and Edge Computing (EC) can support intelligent pervasive applications that meet the needs of end users. A challenge is to provide efficient inference models for supporting ... -
RADPlace-MS: A Timing-Driven Placer and Optimiser for ASICs Radiation Hardening
(2022)The manufacturing of modern Integrated Circuits (ICs), resistant against faults caused by ionising radiation, has become quite challenging due to the rapid advancement of VLSI technology. Additionally, the Radiation Hardening ... -
Smart home energy management processes support through machine learning algorithms
(2022)Smart Home Energy Management Systems can manifest energy consumption reduction targets in the residential sector and can be viewed as an approach to transform the consumer into an active prosumer. The present paper presents ... -
Stepladder determinative brain storm optimization
(2022)Brain Storm Optimization (BSO) is a swarm intelligence algorithm that mimics the brainstorming process of human beings. Since the introduction of BSO, many attempts have been made to improve the performance of the algorithm, ... -
Towards distributed IoT/Cloud based fault detection and maintenance in industrial automation
(2019)Industrial Internet of Things (IIoT) automation should be based on a framework that guarantees flexible and energy efficient monitoring and control, without the need for frequent human intervention. The ability to analyse ... -
Vessel's trim optimization using IoT data and machine learning models
(2022)The shipping industry is an important source of greenhouse gas emissions, such as carbon dioxide, methane and nitrogen oxides. In the past few years, environmental and policy reasons dictate the immense reduction of ...