Essays about: "branch prediction"

Showing result 1 - 5 of 18 essays containing the words branch prediction.

1. 1. Time Series Forecasting on Database Storage

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Pranav Patel; [2024]
   Keywords : Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

   Abstract : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. READ MORE

3. 2. Turbulent Boundary Layers Modelling with Deep Operator Networks

   University essay from KTH/Skolan för teknikvetenskap (SCI)

   Author : Yu-Cheng Lu; [2023]
   Keywords : Turbulent Boundary Layers; Pressure Gradient; Composite Profiles; Deep Operator Networks; Sensitivity Analysis Nyckelord på svenska;

   Abstract : This thesis project aims to advance the modelling of pressure gradient turbulent boundary layers (PG TBLs) and offer new insights into TBLs modelling. Previous analytical studies have explored various mathematical models, but this research introduces an extended unstacked Deep Operator Networks (DeepONets) architecture with double outputs and five branch parameters. READ MORE

4. 3. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

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

   Author : Thomas Bouquet; [2023]
   Keywords : Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

   Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE

5. 4. Using Quantization and Serialization to Improve AI Super-Resolution Inference Time on Cloud Platform

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

   Author : Wai-Hong Anton Fu; [2023]
   Keywords : ;

   Abstract : AI Super-Resolution is a branch of Artificial Intelligence where the goal is to take a low-resolution image and upscale it into a high-resolution image. These models are usually deep learning models based on Convolutional Neural Networks (CNN) and/or transformers. READ MORE

6. 5. Predictive Energy Management of Long-Haul Hybrid Trucks : Using Quadratic Programming and Branch-and-Bound

   University essay from Linköpings universitet/Fordonssystem

   Author : Erik Jonsson Holm; [2021]
   Keywords : Predictive energy management; quadratic programming; branch-and-bound; mixed-integer quadratic programming; energy optimization; look-ahead control; model predictive control; receding horizon control; optimal control; convex optimization; heavy-duty vehicle; long-haul truck; hybrid electric vehicle;

   Abstract : This thesis presents a predictive energy management controller for long-haul hybrid trucks. In a receding horizon control framework, the vehicle speed reference, battery energy reference, and engine on/off decision are optimized over a prediction horizon. READ MORE