Essays about: "Learning evolution"

Showing result 6 - 10 of 113 essays containing the words Learning evolution.

  1. 6. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees

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

    Author : Alexander Willemsen; [2023]
    Keywords : Behaviour Trees; Genetic Programming; Quality Diversity; Gedragsbomen; Genetische Programmering; Kwaliteitsdiversiteit; Beteendeträd; Genetisk Programmering; Kvalitetsmångfald;

    Abstract : One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop solutions that can autonomously solve problems. An important part of this is synthesising behaviours of robots. Behaviour Trees are a tree structure that enables combining existing lower level behaviours into a high level behaviour through task switching. READ MORE

  3. 7. Digital Front End Algorithms for Sub-Band Full Duplex

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
    Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

    Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

  4. 8. Design and Evaluation of Peptide Binders : In silico evaluation and comparison of generative AI for de novo peptide binder design

    University essay from Uppsala universitet/Beräkningsbiologi och bioinformatik

    Author : Linde Brokmar; [2023]
    Keywords : Protein design; de novo design; protein engineering; generative ai; machine learning; peptide binders; AF2; EvoBind; RFdiffusion; ProteinMPNN;

    Abstract : Peptide binders are short proteins that bind to larger proteins. Due to peptide binders having high specificity and being cheap to synthesize, they are a prime candidate for drug design. Creating new proteins in silico can be divided into three steps: protein backbone generation, sequence design, and computational filtering. READ MORE

  5. 9. Performance Benchmarking and Cost Analysis of Machine Learning Techniques : An Investigation into Traditional and State-Of-The-Art Models in Business Operations

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

    Author : Jacob Lundgren; Sam Taheri; [2023]
    Keywords : Artificial Intelligence AI ; Machine Learning; Big Data; Natural Language Processing NLP ; Pre-Trained BERT; Fine-Tuned BERT; TF-IDF; Logistic Regression; Support Vector Machine SVM ; Cloud GPU; Operating Costs; Performance Efficiency; Business Intelligence;

    Abstract : Eftersom samhället blir allt mer datadrivet revolutionerar användningen av AI och maskininlärning sättet företag fungerar och utvecklas på. Denna studie utforskar användningen av AI, Big Data och Natural Language Processing (NLP) för att förbättra affärsverksamhet och intelligens i företag. READ MORE

  6. 10. Evolutionary Belief Rule based Explainable AI to Predict Air Pollution

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Sharif Noor Zisad; [2023]
    Keywords : Explainable AI; Explainability; Transparency; Belief Rule Based Expert System; Evolutionary Algorithm; Deep Learning;

    Abstract : This thesis presents a novel approach to make Artificial Intelligence (AI) more explainable by using a Belief Rule Based Expert System (BRBES). A BRBES is a type of expert system that can handle both qualitative and quantitative information under uncertainty and incompleteness by using if-then rules with belief degrees. READ MORE