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Showing result 31 - 35 of 899 essays matching the above criteria.

  1. 31. 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. 32. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels

    University essay from Uppsala universitet/Avdelningen för beräkningsvetenskap

    Author : Erik Norén; [2023]
    Keywords : Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

    Abstract : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. READ MORE

  4. 33. ISAR Imaging Enhancement Without High-Resolution Ground Truth

    University essay from Linköpings universitet/Datorseende

    Author : Moltas Enåkander; [2023]
    Keywords : SAR; SAR Imaging; ISAR; ISAR Imaging; Machine learning; Convolutional neural network; CNN; neural network; Super resolution; Unsupervised learning;

    Abstract : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. READ MORE

  5. 34. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    University essay from Lunds universitet/Matematisk statistik

    Author : Alexander Gren; Klara Lundgren; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE

  6. 35. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Divya Chedayan; Harry Geo Fernandez; [2023]
    Keywords : machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

    Abstract : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). READ MORE