Essays about: "support vector machine"

Showing result 11 - 15 of 420 essays containing the words support vector machine.

  1. 11. A Comparative Study on Machine Learning Models for Automatic Classification of Cell Types from Digitally Reconstructed Neurons

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

    Author : Mattias Wedin; Isak Bengtsson; [2021]
    Keywords : ;

    Abstract : For the last decade, the use of machine learning in neuroscientific research has become a popular topic. For instance, image recognition has been used together with machine learning to detect and also help improve the diagnostics of diseases. READ MORE

  2. 12. Deep Learning for Iceberg Detection in Satellite Images

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Shuzhi Dong; [2021]
    Keywords : ;

    Abstract : The application of satellite images for ship and iceberg monitoring is essential in many ways in Arctic waters. Even though the detection of ships and icebergs in images is well established using Geoscience techniques, the discrimination between those two target classes still represents a challenge for operational scenarios. READ MORE

  3. 13. E-noses equipped with Artificial Intelligence Technology for diagnosis of dairy cattle disease in veterinary

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

    Author : Farbod Haselzadeh; [2021]
    Keywords : Artificial intelligence; Electronic nose; Gas sensor arrays; Principal component analysis; Autoencoder; Veterinary diagnose; Feature extraction; Dimentionality reduction; Normalization; Maskin intelligence; Artificial intelligence; Elektronisk näsa; Gas sensore array; Normalisering; dimensionalitetsminskning; Autoencoder; Klassificering AI; E-nose; Feature Extraction; Normalization; PCA; Autoencoder; Encoder; Decoder; MLP; Classifier; LDA; Support Vector Machine; Logistic Regression; Cross Validation; Signal segmentation;

    Abstract : The main goal of this project, running at Neurofy AB, was that developing an AI recognition algorithm also known as, gas sensing algorithm or simply recognition algorithm, based on Artificial Intelligence (AI) technology, which would have the ability to detect or predict diary cattle diseases using odor signal data gathered, measured and provided by Gas Sensor Array (GSA) also known as, Electronic Nose or simply E-nose developed by the company. Two major challenges in this project were to first overcome the noises and errors in the odor signal data, as the E-nose is supposed to be used in an environment with difference conditions than laboratory, for instance, in a bail (A stall for milking cows) with varying humidity and temperatures, and second to find a proper feature extraction method appropriate for GSA. READ MORE

  4. 14. Training Autoencoders for feature extraction of EEG signals for motor imagery

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Casper Wahl; [2021]
    Keywords : ;

    Abstract : Electroencephalography (EEG) is a common technique used to read brain activity from an individual, and can be used for a wide range of applications, one example is during the rehab process of stroke victims. Loss of motor function is a common side effect of strokes, and the EEG signals can show if sufficient activation of the part of the brain related to the motor function that the patient is training has been achieved. READ MORE

  5. 15. Prediction of the future trend of e-commerce

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

    Author : Freja Engström; Disa Nilsson Rojas; [2021]
    Keywords : ARIMA; demographics; electronic commerce; ecommerce; machine learning; market analysis; polynomial regression; segmentation; support vector regression.;

    Abstract : In recent years more companies have invested in electronic commerce as a result of more customers using the internet as a tool for shopping. However, the basics of marketing still apply to online stores, and thus companies need to conduct market analyses of customers and the online market to be able to successfully target customers online. READ MORE