Sökning: "Implementation Models"

Visar resultat 1 - 5 av 1725 uppsatser innehållade orden Implementation Models.

1. 1. ML implementation for analyzing and estimating product prices

   Kandidat-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Abel Getachew Kenea; Gabriel Fagerslett; [2024]
   Nyckelord :Machine Learning; ML; Regression; Deep Learning; Artificial Neural Network; ANN; TensorFlow; ScikitLearn; CUDA; cuDNN; Estimation; Prediction; AI; Artificial Intelligence; Price Tracking; Price Logging; Price Estimation; Supervised Learning; Random Forest; Decision Trees; Batch Learning; Hyperparameter Tuning; Linear Regression; Multiple Linear Regression; Maskininlärning; Djup lärning; Artificiellt Neuralt Nätverk; Regression; TensorFlow; SciktLearn; ML; ANN; Estimation; Uppskattning; CUDA; cuDNN; AI; Artificiell Intelligens; pris loggning; pris estimation; prisspårning; Batchinlärning; Hyperparameterjustering; Linjär Regression; Multipel Linjär Regression; Supervised Learning; Random Forest; Decision Trees;

   Sammanfattning : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. LÄS MER

3. 2. Assessment of Climate Change Impact on Rainfed Barley Production in the Mediterranean Basin : The Almeria province case study

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Francesco Saretto; [2024]
   Nyckelord :Barley; Rainfed; Climate Change; AquaCrop; AquaCrop-OSPy; Mediterranean; Climate Change Adaptation; Crop Modeling; Agriculture; Irrigation;

   Sammanfattning : The Mediterranean basin is widely recognized as a climate change hotspot, with climate models projecting increasingly warmer and drier conditions that will impact local ecosystems, communities, and economies. Agriculture will be among the most affected sectors, with harsher conditions for crops’ growth, greater water needs, and lower yields. LÄS MER

4. 3. Robustness Analysis of Perfusion Parameter Calculations

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

   Författare :Alicia Palmér; [2024]
   Nyckelord :Perfusion; Medical image analysis; Dynamic Contrast Enhanced Magnetic Resonance Imaging; Tofts model; Functional imaging; Optimization; T1 map; Perfusion; Medicinsk bildanalys; Dynamisk kontrastförstärkt magnetisk resonanstomografibildtagning; Tofts-modell; Funktionell bildbehandling; Optimering; T1 karta;

   Sammanfattning : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. LÄS MER

5. 4. An In-Depth study on the Utilization of Large Language Models for Test Case Generation

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Nicole Johnsson; [2024]
   Nyckelord :Large Language Models; Test Case Generation; Retrieval Augmented Generation; Machine Learning; Generative AI;

   Sammanfattning : This study investigates the utilization of Large Language Models for Test Case Generation. The study uses the Large Language model and Embedding model provided by Llama, specifically Llama2 of size 7B, to generate test cases given a defined input. LÄS MER

7. 5. From Investment to Payoff: Exploring the CostImplications of AI Adoption in InventoryManagement Across the Different Phases

   Kandidat-uppsats, Jönköping University/Internationella Handelshögskolan

   Författare :bashir Kattan; Lilas Sheekh Kalil; Linda Offor-Ugwuka; [2024]
   Nyckelord :;

   Sammanfattning : Background and problem discussion: In recent years, there has been increasing recognition ofArtificial intelligence (AI) and its benefits in various sectors, including inventory management,which is a significant component of company expenses. However, adopting AI in inventorymanagement also comes with challenges and expenses before businesses can fully reap itsbenefits. LÄS MER