Sökning: "Siva"

Visar resultat 1 - 5 av 26 uppsatser innehållade ordet Siva.

1. 1. Evaluating and optimizing Transformer models for predicting chemical reactions

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Siva Manohar Koki; Supriya Kancharla; [2023-10-23]
   Nyckelord :Chemformer; transformer; evaluation; explainable AI; fine-tuning; machine learning;

   Sammanfattning : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. LÄS MER

3. 2. Effect of resolution on player performance and experience in virtual reality low-fidelity first-person shooting games

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Gauri Singh; Veera Venkata Sai Siva Ram Vangavolu; [2023]
   Nyckelord :Virtual Reality; FPS Games; Low-fidelity; Resolution;

   Sammanfattning : Background. With the increasing popularity of virtual reality(VR) in gaming              applications, it is important to understand the factors that influence the user experienceof players in VR games. One such factor is the resolution of the VR headsets, whichdetermines the clarity and sharpness of the applications on the screen. LÄS MER

4. 3. A comparison through heuristic evaluation of two MOOC platforms:Coursera and Udemy

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Sada Siva Kumar Boya; Harshitha Gundala; [2022]
   Nyckelord :Heuristic principles; Massive open online courses MOOCs ; Survey evaluation; Usability; User experience.;

   Sammanfattning : In recent years thousands of people worldwide have been using Massive open on- line courses (MOOCs) for various reasons, including career development and change, continuing education, lifelong learning, and training. MOOCs are free online courses that anyone can enroll in and are an affordable and flexible way to learn new skills, develop professionally, and provide quality educational experience across the globe. LÄS MER

5. 4. Link Adaptation in 5G Networks : Reinforcement Learning Framework based Approach

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

   Författare :Siva Satya Sri Ganesh Seeram; [2022]
   Nyckelord :Link Adaptation; OLLA; AMC; Reinforcement Learning; DDPG; BLER; Länkanpassning; OLLA; AMC; förstärkningsinlärning; DDPG; BLER;

   Sammanfattning : Link Adaptation is a core feature introduced in gNodeB (gNB) for Adaptive Modulation and Coding (AMC) scheme in new generation cellular networks. The main purpose of this is to correct the estimated Signal-to-Interference-plus-Noise ratio (SINR) at gNB and select the appropriate Modulation and Coding Scheme (MCS) so the User Equipment (UE) can decode the data successfully. LÄS MER

7. 5. Comparative research of WhatsApp and Telegram by using heuristic principles

   Kandidat-uppsats,

   Författare :Venkata Siva Sai Kumar Palisetti; Nikhitha Priyadarsini Seelam; [2022]
   Nyckelord :Instant Messaging; WhatsApp; Telegram; Survey evaluation; Usability; HCI Principles;

   Sammanfattning : Over the last few years, text messaging has taken the domination among young adults. Messaging via phones has a wide range of both, human and social factors. These Instant Messaging [IM] applications also offer features other than just texting and for example, sending documents, photos, videos, links and more. LÄS MER