Essays about: "fashion event"

Showing result 1 - 5 of 22 essays containing the words fashion event.

  1. 1. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

    Author : Luca Colasanti; [2023]
    Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE

  3. 2. Sustainability-Linked Bonds - A Case Study of H&M

    University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Author : Waldemar Andersson; Larysa Karsayeva; [2023]
    Keywords : Sustainability-linked bond; fast fashion; green financing; transition;

    Abstract : The thesis investigates the sustainability-linked bond issuance by fast fashion company H&M in the midst of the Covid-19 pandemic. The study contributes to existing literature by providing observations of real-world practitioners on the cost-benefit considerations of SLB issuance, in particular, challenging the notion of a "free lunch", conversely concluding that the greatest concern is attributed to potential reputational damage in the event of missed targets. READ MORE

  4. 3. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Cina Arjmand; [2023]
    Keywords : Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Abstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE

  5. 4. Stockholm fashion week, a fashion week for everyone? : A qualitative study that compares how the news articles and fashion-related articles depict Stockholm fashion week.

    University essay from Karlstads universitet/Fakulteten för humaniora och samhällsvetenskap (from 2013)

    Author : Viktor Sjöberg Nehlin; [2022]
    Keywords : Fashion; Fashion week; Sustainability; Stockholm fashion week; Mode; Modevecka; Hållbarhet; Stockholm modevecka;

    Abstract : With Stockholm fashion week being the largest fashion event in Sweden each fall, there are many expectations on how the event is being handled, from individuals within the industry and non-industry individuals as well. However, with the various societal and global issues that are connected to the fashion industry, such as negative environmental consequences, poor labor conditions in the manufacturing stage and the somewhat dubious natures that models have to endure. READ MORE

  6. 5. Analysing User Viewing Behaviour in Video Streaming Services

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

    Author : Ioannis Markou; [2021]
    Keywords : log analysis; user viewing demand; over the top; proactive resource scaling; time series forecasting; log analys; användarens visningsbehov; streamingtjänster; proaktiv resursskalning; videostreaming; prognoser av tidsserier;

    Abstract : The user experience offered by a video streaming service plays a fundamental role in customer satisfaction. This experience can be degraded by poor playback quality and buffering issues. These problems can be caused by a user demand that is higher than the video streaming service capacity. READ MORE