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Visar resultat 21 - 25 av 154 uppsatser som matchar ovanstående sökkriterier.

1. 21. Predicting Protein Stability with Machine Learning

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Biofysikalisk kemi

   Författare :Lucas Carlsson; [2023]
   Nyckelord :Protein Stability; Biophysical Chemistry; Thermodynamics; Machine Learning; Deep Learning; Protein Language Model; Biochemistry; Multiple Sequence Alignment; Bioinformatics; Biology and Life Sciences;

   Sammanfattning : Protein stability is a property of high importance and is of interest in a variety of fields. It determines if a protein has its native fold and can be of influence in certain diseases such as Parkinson's and Alzheimer's disease. LÄS MER

3. 22. A Prompting Framework for Natural Language Processing in the Medical Field : Assessing the Potential of Large Language Models for Swedish Healthcare

   Master-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Anim Mondal; [2023]
   Nyckelord :Healthcare; NLP; GPT; framework; medical; AI; Hälsovård; NLP; GPT; ramverk; medicin; AI;

   Sammanfattning : The increasing digitisation of healthcare through the use of technology and artificial intelligence has affected the medical field in a multitude of ways. Generative Pre-trained Transformers (GPTs) is a collection of language models that have been trained on an extensive data set to generate human-like text and have been shown to achieve a strong understanding of natural language. LÄS MER

4. 23. Static Analysis Of Client-Side JavaScript Code To Detect Server-Side Business Logic Vulnerabilities

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Frederick van der Windt; [2023]
   Nyckelord :JavaScript; Static Analysis; Business Logic Vulnerabilities; Client-side; Fuzzing; Black-box; JavaScript; statisk analys; sårbarheter i affärslogiken; klientsidan; Fuzzing; Black-box;

   Sammanfattning : In the real world, web applications are crucial in various domains, from e-commerce to finance and healthcare. However, these applications are not immune to vulnerabilities, particularly in business logic. Detecting such vulnerabilities can be challenging due to the complexity and diversity of application functionality. LÄS MER

5. 24. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Alec Guerin; Christos Papadopoulos; [2023]
   Nyckelord :FTJ; Ferroelectric Tunneling Junction; Analog in-memory computing; AIMC; Memristor; A.I.; AIHWKIT; Semantic segmentation; Natural Language Processing; NLP; Neuromorphic Computing; Matrix Vector Multiplication; Technology and Engineering;

   Sammanfattning : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. LÄS MER

7. 25. Skapa användarcentrerad design med AI-verktyg i konceptfasen : En kvalitativ litteraturstudie om användningen av AI-verktyg för att skapa användbara gränssnitt i konceptfasen

   Kandidat-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och IT

   Författare :Markus Bylund; Sara Holmberg; [2023]
   Nyckelord :Användarcentrerad design; Artificiell intelligens; NLP; Informationsarkitektur; Gränssnitt; Konceptfasen; Designprocessen; Maskininlärning;

   Sammanfattning : This paper examines the application of artificial intelligence (AI) in the early stages of the design process, with a specific focus on using AI to develop user-centered designs during the concept phase. The paper presents a qualitative literature study that employs cloud-based tools like Notion and Lateral to organize and categorize relevant research articles. LÄS MER