Essays about: "CNN"
Showing result 36 - 40 of 649 essays containing the word CNN.
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36. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traffic lights detection systems are an important area of research, aimed towards improving the accuracy and response time of self-driving vehicles when faced with traffic signals. This project attempted to find a solution for the speed-accuracy trade-off faced by traffic light detection systems. READ MORE
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37. Classification of Radar Emitters using Semi-Supervised Contrastive Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. READ MORE
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38. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis
University essay from Uppsala universitet/Avdelningen Vi3Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE
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39. Multiclass Brain Tumour Tissue Classification on Histopathology Images Using Vision Transformers
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Histopathology refers to inspecting and analysing tissue samples under a microscope to identify and examine signs of diseases. The manual investigation procedure of histology slides by pathologists is time-consuming and susceptible to misconceptions. READ MORE
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40. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. READ MORE