Essays about: "thesis on savings"

Showing result 1 - 5 of 509 essays containing the words thesis on savings.

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

    University essay from Jönköping University/Internationella Handelshögskolan

    Author : bashir Kattan; Lilas Sheekh Kalil; Linda Offor-Ugwuka; [2024]
    Keywords : ;

    Abstract : 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. READ MORE

  2. 2. Exploring the use of low-code software development in the automotive industry : thesis conducted at the Scania engine assembly facility

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Matteus Henriksson; [2024]
    Keywords : low-code development; no-code; rapid application development; automotive industry; power platform;

    Abstract : The growing demand for IT professionals to develop and maintain software is creating huge concerns for organizations looking to keep up and build resilience. The trends show that there is a large shortage compared to the demand. Manufacturing companies are no exception to this, and the adoption of Industry 4. READ MORE

  3. 3. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

    Author : Khalid El Yaacoub; [2024]
    Keywords : Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

    Abstract : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. READ MORE

  4. 4. Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Sandra Henningsson; Brage Stranden Lae; [2023-11-09]
    Keywords : NLP; Transformers; CRISPR; semantic search; keyphrase extraction;

    Abstract : The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using transfer learning and pre-trained models based on the Transformer architecture. READ MORE

  5. 5. Enhancing Circular Practices in the Automotive Manufacturing Industry - Exploring Opportunities and Challenges of Remanufacturing Electronic Control Units (ECUs)

    University essay from Göteborgs universitet/Graduate School

    Author : Vivian Ambiado; [2023-07-19]
    Keywords : Circularity; sustainability; remanufacturing; repair; ECUs; automotive industry; manufacturer; strategy;

    Abstract : This thesis examines the transition to a circular economy in the Swedish automotive manufacturing industry, with a specific focus on the implementation of remanufacturing for Electronic Control Units (ECUs). The study aims to identify opportunities and challenges associated with remanufacturing ECUs by considering product characteristics, strategic and business aspects, and the industrial and regulatory environment. READ MORE