Essays about: "information processing problems"
Showing result 1 - 5 of 118 essays containing the words information processing problems.
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1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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2. Evaluation of Open-source Threat Intelligence Platforms Considering Developments in Cyber Security
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. With the increase in cyberattacks and cyber related threats, it is of great concern that the area still lacks the needed amount of practitioners. Open-source threat intelligence platforms are free platforms hosting related information to cyber threats. READ MORE
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3. Analyzing the performance of active learning strategies on machine learning problems
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Digitalisation within industries is rapidly advancing and data possibilities are growing daily. Machine learning models need a large amount of data that are well-annotated for good performance. To get well-annotated data, an expert is needed, which is expensive, and the annotation itself could be very time-consuming. READ MORE
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4. Image analysis of Light Optical Microscopy (LOM) images of metallurgical samples
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Processing metals in different ways often requires stringent quality control to ensure the quality of the processed metal. This master's thesis aims to develop methods for evaluating the quality of metals via image analysis rather than inspecting images manually as it traditionally has been done. READ MORE
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5. Over-the-Air Federated Learning with Compressed Sensing
University essay from Linköpings universitet/KommunikationssystemAbstract : The rapid progress with machine learning (ML) technology has solved previously unsolved problems, but training these ML models requires ever larger datasets and increasing amounts of computational resources. One potential solution is to enable parallelization of the computations and allow local processing of training data in distributed nodes, such as Federated Learning (FL). READ MORE
