A5024432318- Cloud Computing and Resource Management
- IoT and Edge/Fog Computing
- Electric Vehicles and Infrastructure
- Online Learning and Analytics
- Multimedia Communication and Technology
- Transportation and Mobility Innovations
- Video Coding and Compression Technologies
- Model-Driven Software Engineering Techniques
- BIM and Construction Integration
- Software-Defined Networks and 5G
- Energy Harvesting in Wireless Networks
- Speech and Audio Processing
- Distributed and Parallel Computing Systems
- Traffic control and management
- Advanced Battery Technologies Research
- Context-Aware Activity Recognition Systems
- Telecommunications and Broadcasting Technologies
- Blockchain Technology Applications and Security
- Business Process Modeling and Analysis
- Vehicle License Plate Recognition
- Mobile Agent-Based Network Management
- Caching and Content Delivery
- Intelligent Tutoring Systems and Adaptive Learning
- Internet of Things and AI
- Urban Heat Island Mitigation
Çankırı Karatekin University
2024
Birmingham City University
2023-2024
Stuttgart University of Applied Sciences
2020-2024
University of Antwerp
2017-2019
The widespread adoption of electric vehicles (EVs) has introduced new challenges for stakeholders ranging from grid operators to EV owners. A critical challenge is develop an effective and economical strategy managing charging while considering the diverse objectives all involved parties. In this study, we propose a context-aware smart system that leverages deep reinforcement learning (DRL) accommodate unique requirements goals participants. Our DRL-based approach dynamically adapts changing...
The demand for personalized learning experiences and effective analytics in education has significantly increased. integration of technology brought about significant changes teaching practices. In the era digital technology, classroom led to a change methods strategies. this paper, we introduce KNIGHT (AI Education at Hochschule für Technik (HFT) Stuttgart) framework, which is holistic solution designed tackle complex issue era. paper explores application multimodal data integration, novel...
The increase of Internet Things devices and the rise more computationally intense applications presents challenges for future architectures. We envision a in which edge, fog, cloud work together to execute applications. Because entire application cannot run on smaller edge or fog devices, we will need split into components. These components send event messages each other create single from multiple execution location can be optimized minimize resource consumption. In this paper, describe...
Electric vehicle (EV) adoption is expanding, posing new issues for grid operators, fleet charging station and EV owners. The challenge to devise an efficient cost-effective strategy managing that takes into account the demands objectives of all parties. This study offers a context-aware smart system based on deep reinforcement learning (DRL) participants' requirements objectives. DRL-based adjusts changing contexts such as time day, location, weather optimize decisions within instantaneous...
The introduction of the internet had a significant impact on people's lives. next generation internet, also called Internet Things (IoT), takes automation to whole new level. Currently, IoT is still in its infancy. Still, architectures are being implemented for specific applications and/or use-cases. However, as number and frameworks increases, so does interfaces, protocols standards. As result, interoperability between different platforms has become significantly more complex. In road...
In 2015, the ROAD_IT project initiated development and demonstration of an integrated coherent IT process control system for Flemish asphalt sector in order to modernize existing paving technologies obtain real-time data monitor pavement behavior. One test tracks is CyPaTs, construction a bicycle path built September 2017, using innovative (www.uantwerpen.be/cypats). Five are described this contribution. An solar collector (PSC) with piping was installed directly asphalt. Cold water during...
The Internet of Things (IoT) imparts a significant impact on everyday lifestyle seamlessly connecting people, information and businesses across the globe. integration digital economy with paradigm in recent years has enabled fundamental shifts development technology. As result, massive devices such as sensors smart objects divergent capabilities limited resources (exchangeable energy, processing power, storage capabilities) have commenced to form disordered interactions. In order improve...
To quickly and securely deploy the latest version of hardware software resources, DevOps communities use continuous delivery, integration, deployment framework. This paper presents methodology adopted by m41ab team University Applied Sciences to CI/CD framework in development workflows shows benefits that can be achieved using Using High-Performance Computing (HPC) along with GitLab runners, we show Continuous Integration Delivery efficiently overcome management challenges even without...
Using image signature in the pattern recognition and classification applications is very popular among researchers because this approach provides fast yet accurate result most of problems. This paper presents a multistage algorithm for printed isolated character set any script especially non-Latin like Arabic Urdu scripts. The proposed method an improvement over previously that uses size normalized binary images characters extracts their based on number black pixels then it used set. Same...
The expansion of charging infrastructure and the optimal utilization existing are key influencing factors for future growth electric mobility. main objective this paper is to present a novel methodology which identifies necessary stakeholders, processes their contextual information meets optimality criteria using constraint satisfaction strategy. A deep reinforcement learning algorithm used optimally distributing vehicle resources in smart-mobility ecosystem. performs context-aware,...
Nowadays, several commercial IT applications for asphalt road construction are available which relate to various sub- processes of production, transport and paving activities. A state-of-the-art the main is given in this paper. In order investigate scale use such systems Flemish sector, a survey was carried out at contractors. From this, it concluded that quite limited, contrast its availability. Furthermore, other parties' views on matter were also examined, including authorities,...
Machine Learning can work very well with image recognition, but it is used to recognize audio patterns. listening identifies patterns of different entities like the car engine, human speaking, nature sounds, etc. The environmental sound classification plays an important role encourage citizens travel smartly within a city without creating unbearable noises. On other hand, also promotes council maintain and predict sustainable at rush hour ins city. aim this early-stage research present...