Essays about: "Network supervision"

Showing result 1 - 5 of 38 essays containing the words Network supervision.

  1. 1. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Qian Zhou; [2023]
    Keywords : Small Target Detection; Target Tracking; YOLOv5; DeepSORT; Attention Mechanism; Loss Function; Feature Extraction and Fusion Network; Detektering Av små sål; sålspårning; YOLOv5; DeepSORT; uppmärksamhetsmekanism; förlustfunktion; fusionsnätverk;

    Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE

  3. 2. Image-Based Classification Solutions for Robust Automated Molecular Biology Labs

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Arnold Teo; [2023]
    Keywords : Neural networks; Deep learning; Transfer learning; TensorFlow; Single-cell genomics; Image classification; Neurala nätverk; Djupinlärning; Överförd inlärning; TensorFlow; Enskild cellgenomik; Bildklassificering;

    Abstract : Single-cell genomics (SCG) are methods for investigating heterogeneity between biological cells, among these is Smart-seq which sequences from RNA molecules. A more recent version of this method is Smart-seq3xpress which is currently in the process of being automated by the Sandberg lab at Karolinska Institutet. READ MORE

  4. 3. Preliminary study of image analysis and machine learning methods to detect cattle on pasture in images taken from DJI drones

    University essay from Uppsala universitet/Avdelningen för visuell information och interaktion

    Author : Linus Kanestad; [2022]
    Keywords : ;

    Abstract : Automation of tasks are progressing fast together with new improved technology. This together with increased availability of drones in various price-ranges has great potential for many automated computer vision tasks since drones are often equipped with high-tech cameras ofmany different kinds. READ MORE

  5. 4. On dysgraphia diagnosis support via the automation of the BVSCO test scoring : Leveraging deep learning techniques to support medical diagnosis of dysgraphia

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Riccardo Sommaruga; [2022]
    Keywords : Dysgraphia; Handwritten Text Recognition; Graphemes; Optical Character Recognition; Artificial Neural Networks; BVSCO-2; Sequence Alignment; Dysgrafi; handskriven textigenkänning; grafem; optisk teckenigenkänning; artificiella neurala nätverk; BVSCO-2; sekvensjustering;

    Abstract : Dysgraphia is a rather widespread learning disorder in the current society. It is well established that an early diagnosis of this writing disorder can lead to improvement in writing skills. READ MORE

  6. 5. Knowledge Distillation for Semantic Segmentation and Autonomous Driving. : Astudy on the influence of hyperparameters, initialization of a student network and the distillation method on the semantic segmentation of urban scenes.

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Juan Sanchez Nieto; [2022]
    Keywords : Knowledge Distillation; Autonomous Driving; Semantic Segmentation; Cityscapes.; Kunskapsdestillation; Autonom Körning; Semantisk Segmentering; Stadslandskap.;

    Abstract : Reducing the size of a neural network whilst maintaining a comparable performance is an important problem to be solved since the constrictions on resources of small devices make it impossible to deploy large models in numerous real-life scenarios. A prominent example is autonomous driving, where computer vision tasks such as object detection and semantic segmentation need to be performed in real time by mobile devices. READ MORE