Browsing by Subject "Artificial intelligence"
Now showing items 1-15 of 15
-
Automated maintenance support for data-tier software
Data-tier software includes the data model and business logic of enterprise systems, and it is subject to long-term maintenance. Even though the user interface of these systems can be completely replaced, data-tier software ... -
Blockchain, aI and IoT empowered swarm drones for precision agriculture applications
(IEEE, 2022)Recently, the usage of blockchain on swarm UAV applications has gained popularity due to the simplicity and security of the designed frameworks. Applications of drones to precision architecture have also been a prominent ... -
Clothing image retrieval with triplet capsule networks
(2019-08-19)Clothing image retrieval has become more important after some major developments in Computer Science and the emergence of e-commerce. Recent studies generally attack this problem by using Convolutional Neural Networks ... -
Democratization, state capacity and developmental correlates of international artificial intelligence trade
(Taylor & Francis, 2023)Does acquiring artificial intelligence (AI) technologies from the US or China render countries more authoritarian or technologically less advantageous? In this article, we explore to what extent importing AI/high-tech from ... -
Explorations on inverse reinforcement learning for the analysis of motor control and cognitive decision making mechanisms of the brain
Reinforcement Learning is a framework for generating optimal policies given a task and a reward/punishment structure. Likewise, Inverse Reinforcement Learning, as the name suggests, is used for recovering the reasoning ... -
Impact of technology in financial reporting: The case of Amazon Go
(Wiley, 2019-07-08)Since the beginning of the 21st century, there is no doubt that humanity has made a huge step forward in the field of robotics. In the next 20 years, financial reporting will see a stronger change thanks to machine learning, ... -
Interest-based negotiation for policy-regulated asset sharing
(Springer Nature, 2016)Resources sharing is an important but complex problem to be solved. The problem is exacerbated in a coalition context due to policy constraints, that reflect concerns regarding security, privacy and performance to name a ... -
An introduction to the pocket negotiator: a general purpose negotiation support system
(Springer International Publishing, 2017)The Pocket Negotiator (PN) is a negotiation support system developed at TU Delft as a tool for supporting people in bilateral negotiations over multi-issue negotiation problems in arbitrary domains. Users are supported in ... -
A near Pareto optimal approach to student–supervisor allocation with two sided preferences and workload balance
(Elsevier, 2019-03)The problem of allocating students to supervisors for the development of a personal project or a dissertation is a crucial activity in the higher education environment, as it enables students to get feedback on their work ... -
A new deep learning restricted boltzmann machine for energy consumption forecasting
(MDPI, 2022-08)A key issue in the desired operation and development of power networks is the knowledge of load growth and electricity demand in the coming years. Mid-term load forecasting (MTLF) has an important rule in planning and ... -
A platform for personal e-mobility with route forecasting
(2021-01-14)Decreasing fossil fuel sources and increasing carbon exhaust rate makes human-beings lead to search on different technological fields and to develop new technology. Also, thanks to developing tendency to the clean energy ... -
Revolutionizing education with AI: Exploring the transformative potential of ChatGPT
(Bastas, 2023)Artificial intelligence (AI) introduces new tools to the educational environment with the potential to transform conventional teaching and learning processes. This study offers a comprehensive overview of AI technologies, ... -
Speaker adaptation with deep learning for text-to-speech synthesis systems
End-to-end (e2e) speech synthesis systems have become popular with the recent introduction of letter-to-spectrogram conversion systems, such as Tacotron, that use encoder-decoder-based neural architectures. Even though ... -
Towards an efficient anomaly-based intrusion detection for software-defined networks
(Institution of Engineering and Technology, 2018-08-24)Software-defined networking (SDN) is a new paradigm that allows developing more flexible network applications. A SDN controller, which represents a centralised controlling point, is responsible for running various network ... -
Using social media to monitor conflict-related migration: A review of implications for A.I. forecasting
(MDPI, 2022-09)Following the large-scale 2015–2016 migration crisis that shook Europe, deploying big data and social media harvesting methods became gradually popular in mass forced migration monitoring. These methods have focused on ...
Share this page