Essays about: "genetic background"
Showing result 1 - 5 of 83 essays containing the words genetic background.
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1. Avelsarbetet med svenska varmblodshästar
University essay from SLU/Dept. of Anatomy, Physiology and BiochemistryAbstract : Det svenska varmblodet (SWB) är ett av världens äldsta varmblod med rötter i en äldre kavallerihäst. Idag är avelsmålet för SWB-hästen inte längre att bistå Sverige i krig utan att vara en internationellt konkurrenskraftig tävlingsindivid i hoppning, dressyr eller fälttävlan. READ MORE
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2. A Rank Score Model of Variants Prioritization for Rare Disease
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : The diagnosis of genetic illnesses has undergone a revolution with advancements in sequencing technology. Next-generation sequencing (NGS) has become a standard practice in genetic diagnostics, enabling the identification of various genetic variations. READ MORE
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3. Automatic icon placement approach for improved association & walkability on city wayfinding maps
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : With the evolution of cartography from hand-drawn to digital maps, the task of icon placement has become increasingly complex. Nowadays there is a need to automate this process to produce high quality results in less time. READ MORE
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4. Automated Image Pre-Processing for Optimized Text Extraction Using Reinforcement Learning and Genetic Algorithms
University essay fromAbstract : This project aims to develop an automated image pre-processing chain to extract valuable information from appliance labels before recycling. The primary goal is to improve optical character recognition accuracy by addressing noise issues using reinforcement learning and an evolutionary algorithm. READ MORE
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5. A method of detecting and predicting attack vectors based on genetic programming
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : This Master's thesis presents a novel approach for detecting and predicting attack vectors based on genetic programming. The proposed method utilizes a genetic algorithm to evolve a set of rules that predict attack vectors over the system based on caught indicators of compromise. READ MORE