Essays about: "training volume"

Showing result 1 - 5 of 73 essays containing the words training volume.

1. 1. Predictive Modeling of Pipetting Dynamics. Multivariate Regression Analysis: PLS and ANN for Estimating Density and Volume from Pressure Recordings

   University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

   Author : Lisa Linard Pedersen; [2024]
   Keywords : Technology and Engineering;

   Abstract : Thermo Fisher Scientific manufacture automatic pipetting instruments for diagnostic tests. These tests are sensitive to abnormalities and changes in e.g. volume or density could potentially lead to less precision or other issues in the pipetting work flow. READ MORE

3. 2. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

   University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

   Author : Marko Plavetic; [2023-06-26]
   Keywords : benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

   Abstract : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. READ MORE

4. 3. Active learning for text classification in cyber security

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

   Author : Amanda Carp; [2023]
   Keywords : Interactive machine learning; Active learning; Cost-effective active learning; Cyber environment; Interaktiv maskininlärning; Aktiv inlärning; Kostnadseffektiv aktiv inlärning; Cyberdomänen;

   Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE

5. 4. The Relationship of Training Frequency and Wilks Score in Competitive Swedish Classic Powerlifters : A Quantitative Questionnaire Study

   University essay from Gymnastik- och idrottshögskolan, GIH/Institutionen för fysiologi, nutrition och biomekanik

   Author : Erik Hillerström; Whilliam Brandin; [2023]
   Keywords : powerlifting; training frequency; training volume; strenght training; tränarlänktyngdlyftning;

   Abstract : Background: In strength sports, athletes must take several training variables into consideration whencreating a training program. One of the ground pillars is training frequency, but there is a lackof research done on competitive powerlifters. READ MORE

6. 5. Self-learning for 3D segmentation of medical images from single and few-slice annotation

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

   Author : Côme Lassarat; [2023]
   Keywords : Self-supervised Learning; Segmentation; Medical images; Självövervakad inlärning; segmentering; medicinska bilder;

   Abstract : Training deep-learning networks to segment a particular region of interest (ROI) in 3D medical acquisitions (also called volumes) usually requires annotating a lot of data upstream because of the predominant fully supervised nature of the existing stateof-the-art models. To alleviate this annotation burden for medical experts and the associated cost, leveraging self-learning models, whose strength lies in their ability to be trained with unlabeled data, is a natural and straightforward approach. READ MORE