Essays about: "what is computer based information systems"

Showing result 1 - 5 of 36 essays containing the words what is computer based information systems.

1. 1. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms

   University essay from Linköpings universitet/Energisystem

   Author : Oliver Wallin; Johan Jigsved; [2023]
   Keywords : AI; K-means; clustering; ICT-centre; data centre; data center; ICT-center; cooling; data center cooling;

   Abstract : Information and communications technology (ICT) is an important part in today’s society and around 60% of the world's population are connected to the internet. Processing and storing ICT data corresponds to approximately 1% of the global electricity demand. READ MORE

3. 2. The User Needs Of Agent-Based Modelling Experts : What Information Architecture reveals about ABM frameworks

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Bertilla Fabris; [2023]
   Keywords : Agent-based Modelling; ABM; Usability; Information Architecture; Computer and Information Science; ABSS; Agent-based Social Simulation; Agent Based Modelling; Agent-Based Modeling; Agent Based Modeling;

   Abstract : Present-day Agent Based Modelling is used to simulate complex systems in which agents are explicitly heterogeneous. Researchers within the field of ABM have a set of tools at their disposal, yet little is known about the usability and learnability of these systems. READ MORE

4. 3. System Simulation of Electric Driveline and Active Suspension using Simcenter Amesim

   University essay from Umeå universitet/Institutionen för fysik

   Author : Simon Lundberg; [2022]
   Keywords : System Simulation; Mechatronics; Amesim; Electric driveline; Active suspension;

   Abstract : Computer simulation software’s are arguably some of the most convenient and utilized tools for an engineer as it lets them model real phenomena and observe different operations without having to perform the operation physically, thus saving both time and resources. Naturally these tools varies in design depending on their intended area of application and while a large number of them supports modeling of more than one physical domain, it is often cumbersome to attain a functional interaction between them. READ MORE

5. 4. Medical image captioning based on Deep Architectures

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Georgios Moschovis; [2022]
   Keywords : Artificial Neural Networks; Deep Learning; Speech and language technology; Natural Language Processing NLP ; Deep networks; Generative deep networks; Convolutional neural networks CNN ; Text generation; Information retrieval; Diagnostic captioning; Image captioning; concept prediction; classification; image encoders; transformers; Encoder-Decoder architecture; abstractive summarization; Neurala nätverk; Djup inlärning; Tal-och språkteknologi; naturlig språkbehandling; djup neurala nätverk; generativa djupa nätverk; konvolutionella neurala nätverk; Textgenerering; Informationssökning; Diagnostisk textning; Bildtextning; konceptförutsägelse; klassificering; bildkodare; transformatorer; kodaravkodararkitektur; abstrakt sammanfattning;

   Abstract : Diagnostic Captioning is described as “the automatic generation of a diagnostic text from a set of medical images of a patient collected during an examination” [59] and it can assist inexperienced doctors and radiologists to reduce clinical errors or help experienced professionals increase their productivity. In this context, tools that would help medical doctors produce higher quality reports in less time could be of high interest for medical imaging departments, as well as significantly impact deep learning research within the biomedical domain, which makes it particularly interesting for people involved in industry and researchers all along. READ MORE

6. 5. Anomaly Detection in Log Files Using Machine Learning Techniques

   University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Author : Lakshmi Geethanjali Mandagondi; [2021]
   Keywords : Anomaly Detection; Log Files; Machine Learning; Clustering; Outlier Detection;

   Abstract : Context: Log files are produced in most larger computer systems today which contain highly valuable information about the behavior of the system and thus they are consulted fairly often in order to analyze behavioral aspects of the system. Because of the very high number of log entries produced in some systems, it is however extremely difficult to seek out relevant information in these files. READ MORE