Essays about: "Bleeding-edge"
Found 5 essays containing the word Bleeding-edge.
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1. A Multi-camera based Next Best View Approach for Semantic Scene Understanding
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Robots are becoming more common; robotics has gone from bleeding-edge technology to an everyday topic that families discuss around thedinner table.The number of robots in the industry is growing, which means thatthe demand and need for robots to understand the environment it isworking in is also growing. READ MORE
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2. Development and validation of bioinformatic methods for GRC assembly and annotation
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : This thesis presents the work done during my master degree projects under the supervision of Alexander Suh and Francisco J. Ruiz-Ruano. My work focused on the development of in-silico methods to improve the assembly of the Germline Restricted Chromosome (GRC) of songbirds, more specifically that of zebra finch. READ MORE
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3. FPGA Co-Processing in Software-Defined Radios
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Internet of Things holds great promises for the future. In the smart cities of tomorrow, wireless connectivity of everyday objects is deemed essential in ensuring efficient and sustainable use of vital, yet limited resources such as water, electricity and food. However, radio communication at the required scale does not come easily. READ MORE
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4. Developing Bleeding-edge microservice solutions for complex problems : Non-intrusive technology in Walking Meetings
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : The last decade has seen an emergence of various types of cloud services and development frameworks offered by leading companies in the software industry. While each of these services has been used to solve specific tasks, their specifications have changed over time as they have matured. READ MORE
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5. Combining RGB and Depth Images for Robust Object Detection using Convolutional Neural Networks
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : We investigated the advantage of combining RGB images with depth data to get more robust object classifications and detections using pre-trained deep convolutional neural networks. We relied upon the raw images from publicly available datasets captured using Microsoft Kinect cameras. READ MORE