Essays about: "Task board"
Showing result 1 - 5 of 98 essays containing the words Task board.
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1. Transforming Chess: Investigating Decoder-Only Architecture for Generating Realistic Game-Like Positions
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Chess is a deep and intricate game, the master of which depends on learning tens of thousands of the patterns that may occur on the board. At Noctie, their mission is to aid this learning process through humanlike chess AI. A prominent challenge lies in curating instructive chess positions for students. READ MORE
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2. The cross-linguistic influence on L2 learners' ability to use morphosyntactic cues predictively. : A psycholinguistic study on German grammatical gender acquisition by Greek native speakers.
University essay from Stockholms universitet/Centrum för tvåspråkighetsforskningAbstract : German and Greek are both Indo-European languages that realize grammatical gender and indeed they have similar grammatical gender systems, they both realize three genders (masculine, feminine, neuter). They pose some similarities concerning gender agreement as well. However, the lexical gender between these two languages differs a lot. READ MORE
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3. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. READ MORE
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4. ORF: On-board Radiometric Fingerprinting
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Radiometric fingerprinting systems leverage unique physical-layer signal characteristics originating from individual hardware imperfections to identify transmitter devices. However, existing systems are limited by the need for specialized hardware and non-trivial computations to capture physical-layer signals and extract fingerprinting features, hindering their pervasive deployment. READ MORE
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5. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning is a powerful tool which enables an agent to learn how to control complex systems. However, during the early phases of training, the performance is often poor. READ MORE