Essays about: "training need and learning analysis"

Showing result 16 - 20 of 78 essays containing the words training need and learning analysis.

  1. 16. Impact of Cell Type Selection on Binary Classification of Cervical Cancer using Convolutional Neural Networks : A Compatibility Analysis of Herlev and SIPaKMeD

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

    Author : Elias Ram; Elias Stihl; [2023]
    Keywords : ;

    Abstract : Cervical cancer is one of the most common forms of cancer today, affecting women worldwide. Machine learning classifiers could potentially be utilized to aid in the diagnosis of cervical cancer, making screening more cost-effective. READ MORE

  3. 17. Cell Identification from Microscopy Images using Deep Learning on Automatically Labeled Data

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Fredrik Salomon-Sörensen; [2023]
    Keywords : Deep Learning; Cell Identification; Image Segmentation; Nuclei Segmentation; Convolutional Neural Networks; UNet; Image Analysis; Microscopy; Noisy Labels; Phase-Contrast; Automatic Labeling; Technology and Engineering;

    Abstract : In biology, cell counting provides a fundamental metric for live-cell experiments. Unfortunately, most researchers are constrained to using tedious and invasive methods for counting cells. Automatic identification of cells in microscopy images would therefore be a valuable tool for such researchers. READ MORE

  4. 18. Combining transaction and page view data for more accurate product recommendations

    University essay from Umeå universitet/Institutionen för fysik

    Author : Soroush Rohani; [2023]
    Keywords : Recommendation systems; machine learning; e-commerce;

    Abstract : Recommendation systems are primarily used in e-commerce and retail to guide the user in a vast space of available items by providing personalized recommendations that fit the user's interests and need. Numerous types of recommendation systems have been introduced over the years. READ MORE

  5. 19. Evaluation of Ferroelectric Tunnel Junction memristor for in-memory computation in real world use cases

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Alec Guerin; Christos Papadopoulos; [2023]
    Keywords : FTJ; Ferroelectric Tunneling Junction; Analog in-memory computing; AIMC; Memristor; A.I.; AIHWKIT; Semantic segmentation; Natural Language Processing; NLP; Neuromorphic Computing; Matrix Vector Multiplication; Technology and Engineering;

    Abstract : Machine learning algorithms are experiencing unprecedented attention, but their inherent computational complexity leads to high energy consumption. However, a paradigm shift in computing methods has the potential to address the issue. READ MORE

  6. 20. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Gnana Spandana Akumalla; [2023]
    Keywords : Computer vision; Image processing; Drill bit failure detection; CNN; YOLOv5; FNN; YOLOv8; Dataset; StyleGAN-ADA; Ethics; Sustainability; Artificial Intellegence; Tricone drill bit; Object detection.;

    Abstract : Detecting failures in tricone drill bits is crucial in the mining industry due to their potential consequences, including operational losses, safety hazards, and delays in drilling operations. Timely identification of failures allows for proactive maintenance and necessary measures to ensure smooth drilling processes and minimize associated risks. READ MORE