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Showing result 1 - 5 of 21 essays matching the above criteria.

  1. 1. Forecasting monthly LME Copper returns

    University essay from Göteborgs universitet/Graduate School

    Author : Nils Lervik; Philip Thorsell; [2022-06-29]
    Keywords : ;

    Abstract : We evaluate if monthly LOCADY returns on the London Metal Exchange can be accurately predicted one, two and three months ahead. In total ten models are constructed using time-varying parameters and bandwidth optimization. READ MORE

  3. 2. Intermittent demand forecasting using Machine Learning

    University essay from Högskolan i Halmstad

    Author : Meerashine Joe; [2021]
    Keywords : ;

    Abstract : Different techniques are used for demand forecasting within the In-dustry such as statistical methods like Croston, ARIMA and exponen- tial smoothing methods, Also, During these days Machine learningtechnologies such as SVM, NN and gradient boosting are also usedfor demand forecasting. Both statistical and Machine learning mod- els are widely used in the Industry for demand forecasting basedon performance, requirements, technical availability and data. READ MORE

  4. 3. AI-Powered Network Traffic Prediction

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

    Author : Amin Bolakhrif; [2021]
    Keywords : Deep Learning; IP Address; Machine Learning; Network Traffic Flows; Neural Networks; Predictive Model; Regression.; Djupinlärning; IP Address; Maskininlärning; Nätverkstrafikflöden; Neurala Nätverk; Prediktionsmodell; Regression.;

    Abstract : In this Internet and big data era, resource management has become a crucial task to ensure the quality of service for users in modern wireless networks. Accurate and rapid Internet traffic data is essential for many applications in computer networking to enable high networking performance. READ MORE

  5. 4. Implementation of a Deep Learning Inference Accelerator on the FPGA.

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

    Author : Shenbagaraman Ramakrishnan; [2020]
    Keywords : Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Deep Learning Accelerators; NVDLA; FPGA; Technology and Engineering;

    Abstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE

  6. 5. Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events

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

    Author : Achilleas Stefanidis; [2020]
    Keywords : Dynamic graph representation learning; Selfattention mechanism; Dynamic link prediction; Inlärning av dynamisk grafrepresentation; Koncentrationsmekanism; Dynamisk länkprognos;

    Abstract : Enterprises use live video streaming as a mean of communication. Streaming high-quality video to thousands of devices in a corporate network is not an easy task; the bandwidth requirements often exceed the network capacity. READ MORE