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Showing result 1 - 5 of 8 essays matching the above criteria.

  1. 1. Optimisation of warehouse for second-hand items using Machine Learning

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

    Author : Simon Osnes; [2023]
    Keywords : Second-hand; Machine Learning; Data Analysis; Feature Selection; Clustering; K-Means; Second-hand; Maskininlärning; Dataanalys; Urval av Attributer; Klustring; K-Means;

    Abstract : Warehouse management and organisation often use the popularity of items to assign placements in the warehouse and predict sales. However, when dealing with only unique second-hand items another solution is needed. READ MORE

  3. 2. Runtime control for application failure prevention in resource-constrained devices

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

    Author : Javier Albert Smet; [2022]
    Keywords : failure prevention; runtime control; resource-constrained devices; cross-layer optimization; felförebyggande; körtidskontroll; resursbegränsade enheter; optimering över flera lager;

    Abstract : In the last decades, there has been a growing interest towards new use cases in the Internet of Things (IoT) domain, such as extended reality glasses, unmanned aerial vehicles (UAVs), and autonomous driving. The technological advancement observed in such scenarios has also been enabled by the increasing capabilities of small form factor devices. READ MORE

  4. 3. Cross-layer optimization for joint visual-inertial localization and object detection on resource-constrained devices

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

    Author : Elisa Baldassari; [2021]
    Keywords : Cross-layer optimization; Resource-constrained edge devices; Concurrent applications; Object detection; Localization; Optimering i flera lager; Resursbegränsade edge-enheter; Samtidiga program; Objektidentifiering; Lokalisering;

    Abstract : The expectations in performing high-performance cyber-physical applications in resource-constrained devices are continuously increasing. The available hardware is still a main limitation in this context, both in terms of computation capability and energy limits. READ MORE

  5. 4. QPLaBSE: Quantized and Pruned Language-Agnostic BERT Sentence Embedding Model : Production-ready compression for multilingual transformers

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

    Author : Sarthak Langde; [2021]
    Keywords : Transformers; LaBSE; Quantization; Pruning; PyTorch; TensorFlow; ONNX; Transformatorer; LaBSE; Kvantisering; Beskärning; PyTorch; TensorFlow; ONNX;

    Abstract : Transformer models perform well on Natural Language Processing and Natural Language Understanding tasks. Training and fine-tuning of these models consume a large amount of data and computing resources. Fast inference also requires high-end hardware for user-facing products. READ MORE

  6. 5. Portfolio Performance Optimization Using Multivariate Time Series Volatilities Processed With Deep Layering LSTM Neurons and Markowitz

    University essay from KTH/Matematisk statistik

    Author : Aron Andersson; Shabnam Mirkhani; [2020]
    Keywords : Recurrent Neural network RNN ; long short-term memory LSTM ; portfolio optimization; markowitz; exponential moving average; sharpe ratio; heteroskedasticity; Markowitz;

    Abstract : The stock market is a non-linear field, but many of the best-known portfolio optimization algorithms are based on linear models. In recent years, the rapid development of machine learning has produced flexible models capable of complex pattern recognition. READ MORE