Searched for: subject:"Artificial%5C+Intelligence"
(1 - 20 of 50)

Pages

document
Trier, J.H. (author)
The world that organizations today are forced to navigate is volatile, uncertain, complex and ambiguous - a VUCA world. Their long-term survival is continuously endangered. A strong brand positioning is important to secure survival and deeply connect with customers. However, changes in consumer needs and expectations call for new ways to stay...
master thesis 2020
document
Cian, David (author)
In this paper, we run two methods of explanation, namely LIME and Grad-CAM, on a convolutional neural network trained to label images with the LEGO bricks that are visible in them. We evaluate them on two criteria, the improvement of the network's core performance and the trust they are able to generate for users of the system. We nd that in...
bachelor thesis 2020
document
Kuğuoğlu, B.K. (author)
The powerful convergence of AI and the Internet of Things (IoT), or Artificial Intelligence of Things (AIoT) in short, is no longer on the horizon; it has already arrived. By combining AI’s ability to quickly wring insights from data and the ever-growing network of connected devices and systems that generate data, companies can avoid unplanned...
master thesis 2020
document
Grzebyk, Daniel (author)
An increasing number of photovoltaic (PV) systems are being installed worldwide and residential sector is responsible for a large part of this growth. Small scale PV systems do not have complex measuring devices and their breakdowns are not spotted immediately by the system owners. This might lead to prolonged time without generating power and...
master thesis 2020
document
Moonen, Djoshua (author)
For a system to be able to interpret data, learn from it, and use those learnings to reach goals and perform tasks is what it means to be intelligent [1]. Since systems are not a product of nature, but rather made by humans they are called Artificial Intelligence (AI). The field of Side-Channel Attacks (SCA) has benefited from applying AI...
bachelor thesis 2020
document
van den Oever, Joris (author)
Multi-agent systems often communicate to perform better at their tasks. However, messages sometimes get lost after sending, and the communication is disrupted. This paper looks into the effects of messages having a chance of not arriving with an agent using the Blocks World for Teams simulation environment. The environment uses agent teams...
master thesis 2020
document
This work addresses the problem of exploration and coverage using visual inputs. Exploration and coverage is a fundamental problem in mobile robotics, the goal of which is to explore an unknown environment in order to gain vital information. Some of the diverse scenarios and applications in which exploratory robots can have a significant impact...
master thesis 2020
document
Metin, Ferkan (author)
Artificial Intelligence can extend human frontiers and complement our capabilities. This project presents AI-powered smart glasses that empower visually impaired people to achieve greater independence and social integration. Since AI is a developing discipline, we enhance reliability by providing the opportunity for reciprocal learning between...
master thesis 2020
document
Nederpel, Arnoud (author)
Artificial intelligence (AI) has the potential to revolutionize many industries across the world. However, artificial intelligence systems raise a series of ethical challenges that hamper their sustainable development. These challenges have often been discussed from a philosophical or theoretical perspective, but rarely from the more practical...
master thesis 2020
document
Tideman, Leonoor (author)
Imaging mass spectrometry (IMS) is a multiplexed chemical imaging technique that enables the spatially targeted molecular mapping of biological samples at cellular resolutions. Within a single experiment, IMS can measure the spatial distribution and relative concentration of thousands of distinct molecular species across the surface of a tissue...
master thesis 2019
document
Kindervater, Frederic (author)
How does business traveling look like in the future? This master project examines the todays travel landscape and uncovers issues business travelers are experiencing during their trips. With the stakeholder Embraer - an aircraft manufacturer from Brazil - the context of this project is very intentionally set to a door-to-door journey with...
master thesis 2019
document
Ruiz Reina, Juan (author)
The introduction of artificial intelligence (AI) technologies in healthcare is expected to set a paradigm shift to medical practice because these systems will have a significant role in applications such as diagnosis-support and image analysis. However, this implementation does not come without risks. There are important ethical concerns that...
master thesis 2019
document
Chen, Yue (author)
Artificial intelligence (AI) has come to the fore and is now expected to be one of the most disruptive technologies. It is easy to tell that AI will become pervasive in our everyday life. However, people still lack confidence in AI. Since trust is crucial in the development and acceptance of AI, it is essential to design for proper trust in the...
master thesis 2019
document
Liu, Hao (author)
Workflow orchestration in healthcare is a desirable field with massive opportunities. Healthcare providers are under pressure to deliver greater value and even faster than ever before. They have to deliver better care at lower cost while serving more patients. A number of integrated solutions are present in the field. However, the need for the...
master thesis 2019
document
Wang, Yizhou (author)
In the past few years, convolutional neural networks (CNNs) have been widely utilized and shown state-of-the-art performances on computer vision tasks. However, CNN based approaches usually require a large amount of storage, run-time memory, as well as computation power in both training and inference time, which are usually used on GPU based...
master thesis 2019
document
Yoon, Ahhyun (author)
Demand for machine learning is ever-growing in today’s business. Situated at the convergence point of big data and Artificial Intelligence (AI), machine learning allows companies not only to unlock hidden insights from the data deluge but also to fundamentally revolutionize their products and services. Recognizing the opportunities, industrial...
master thesis 2019
document
Srinivasan, Aditya Vasan (author)
The increasing availability of data, computing power & advances in the algorithms has really driven the development of Artificial Intelligence (AI) in recent years. However, many industries & societies despite realizing the value of AI are still skeptical in accepting AI, especially when several controversial incidents have come into our...
master thesis 2019
document
Li, Mingxi (author)
Neural networks have achieved great success in many difficult learning tasks like image classification, speech recognition and natural language processing. However, neural architectures are hard to design, which requires lots of knowledge and time of human experts. Therefore, there has been a growing interest in automating the process of designing...
master thesis 2019
document
Sosa Hidalgo, Mario (author)
Artificial Intelligence (AI) is one of the most groundbreaking developments of the last half-century. More and more organizations are either implementing AI or considering its application to optimize their lines of business. At the same time, this exponential growth has also raised questions regarding its ethical implications and societal...
master thesis 2019
document
Ceelen, Marcel (author)
Artificial intelligence is used in this research to predict the shelf life of strawberries. The prediction of shelf life is based on temperature measurements from the moment a package of strawberries is harvested till the moment this same package is bought by a customer in a local PLUS supermarket. The strawberries are harvested in the south of...
master thesis 2019
Searched for: subject:"Artificial%5C+Intelligence"
(1 - 20 of 50)

Pages