Essays about: "AI applications"

Showing result 16 - 20 of 182 essays containing the words AI applications.

  1. 16. Optimization of the Cloud-Native Infrastructure using Artificial Intelligence

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

    Author : Animesh Singh; [2023]
    Keywords : Artificial Intelligence; Test Channel Build; Test Channel Scheduling; Artificiell intelligens; Byggning av testkanal; Schemaläggning av testkanal;

    Abstract : To test Cloud RAN applications, such as the virtual distributed unit (vDU) and centralized virtual unit (vCU), a test environment is required, commonly known as a “test bed” or “test channel”. This test bed comprises various cloudnative infrastructures, including different hardware and software components. READ MORE

  3. 17. Investigations of Free Text Indexing Using NLP : Comparisons of Search Algorithms and Models in Apache Solr

    University essay from Linköpings universitet/Interaktiva och kognitiva system

    Author : Alfred Sundstedt; [2023]
    Keywords : NLP; Apache Solr; Document Retrieval; Context; OpenNLP; BERT;

    Abstract : As Natural Language Processing progresses societal and applications like OpenAI obtain more considerable popularity in society, businesses encourage the integration of NLP into their systems. Both to improve the user experience and provide users with their requested information. READ MORE

  4. 18. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  5. 19. Towards gradient faithfulness and beyond

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Vincenzo Buono; Isak Åkesson; [2023]
    Keywords : XAI; Visual Explanations; CAM; Grad-CAM; Expected Grad-CAM; Hyper Expected Grad; Class Activation Maps; Explainable AI; Faithfulness; Neural Network interpretability; Hyper Resolution CAM; Super Resolution CAM; Natural Encoding;

    Abstract : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. READ MORE

  6. 20. Explainable AI for Multi-Agent Control Problem

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Hanna Prokopova; [2023]
    Keywords : ;

    Abstract : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. READ MORE