Essays about: "Artificial Neural Network ANN"

Showing result 31 - 35 of 157 essays containing the words Artificial Neural Network ANN.

  1. 31. Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades

    University essay from Lunds universitet/Matematik LTH

    Author : Elsa Lindhé; Erik Olsson; [2022]
    Keywords : Domain adaptation; leukocytes; WBC; machine learning; deep learning; Mathematics and Statistics;

    Abstract : Collecting enough labeled images to train an artificial neural network (ANN) is a common struggle since the process is tedious, time consuming and expensive. CellaVision, a company that creates analyzers that automate the process of finding and pre-classifying abnormal blood cells using machine learning, runs into this problem regularly. READ MORE

  3. 32. Employee Churn Prediction in Healthcare Industry using Supervised Machine Learning

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

    Author : Anna Gentek; [2022]
    Keywords : Employee churn; Churn Prediction; Predictive modeling; Machine learning; Deep-Learning; Data mining; Binary Classification; Personalomsättning; Avhoppsanalys; Prediktiv Modellering; Maskininlärning; Datautvinning; Binär Klassificering;

    Abstract : Given that employees are one of the most valuable assets of any organization, losing an employee has a detrimental impact on several aspects of business activities. Loss of competence, deteriorated productivity and increased hiring costs are just a small fraction of the consequences associated with high employee churn. READ MORE

  4. 33. Machine Learning personalizationfor hypotension prediction

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Clara Escorihuela Altaba; [2022]
    Keywords : Arterial blood pressure; Hypotension prediction; Machine learning personal- ization; Domain adaptation; Data grouping; Arteriellt blodtryck; Börutsägelse av hypotoni; Personaliserad maskininlär- ning; Domänanpassning; Datagruppering.;

    Abstract : Perioperative hypotension (PH), commonly a side effect of anesthesia,is one of the main mortality causes during the 30 posterior days of asurgical procedure. Novel research lines propose combining machinelearning algorithms with the Arterial Blood Pressure (ABP) waveform tonotify healthcare professionals about the onset of a hypotensive event withtime advance and prevent its occurrence. READ MORE

  5. 34. Identifying Piggybacking with Radar and Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Joel Sigurdsson; Hannes Olsson; [2022]
    Keywords : neural networks; classification; radar; access control; artificial; recurrent; convolutional; point clouds; cnn; ann; lstm; rnn; optimization; gradient descent; camera; piggybacking; tailgating; fmcw; pointnet; Mathematics and Statistics;

    Abstract : A common problem in access control is piggybacking. This is when a person without authorized access sneaks closely behind another with access through a door. This thesis seeks to answer whether using radar is a viable solution when attempting to detect piggybacking. READ MORE

  6. 35. Evaluation of Oversampling Methods For Artificial Neural Network Classification of Lung Cancer

    University essay from KTH/Datavetenskap

    Author : Alexander Söderhäll; David Cederström; [2022]
    Keywords : ;

    Abstract : New methods of assessing lung cancer (LC) risk is being researched. Gregory R. Hart et. al [15] developed an artificial neural network (ANN) that used many features related to LC risk. READ MORE