Essays about: "advantages of CaN network"

Showing result 1 - 5 of 223 essays containing the words advantages of CaN network.

  1. 1. 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

  3. 2. Simulated molecular adder circuits on a surface of DNA : Studying the scalability of surface chemical reaction network digital logic circuits

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

    Author : Jakob Arvidsson; [2023]
    Keywords : Surface chemical reaction networks; Molecular computing; DNA computing; Circuit simulation; Adders; Ytbundna kemiska reaktionsnätverk; Molekylär beräkning; DNA-beräkning; Kretssimulering; Additionskretsar;

    Abstract : The behavior of the Deoxyribonucleic Acid (DNA) molecule can be exploited to perform useful computation. It can also be ”programmed” using the language of Chemical Reaction Networks (CRNs). One specialized CRN construct is the Surface Chemical Reaction Network (SCRN). READ MORE

  4. 3. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches

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

    Author : Chenzhou Huang; [2023]
    Keywords : Transfer Learning; Condition Monitoring; Domain Adaptation; Neural Network; Powerstrain.; Siirto-oppiminen; kunnonvalvonta; verkkotunnuksen mukauttaminen; neuroverkko; voimansiirto.; Överföring lärande; tillståndsövervakning; domänanpassning; neuralt nätverk; Powerstrain;

    Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE

  5. 4. Design and Evaluation of Peptide Binders : In silico evaluation and comparison of generative AI for de novo peptide binder design

    University essay from Uppsala universitet/Beräkningsbiologi och bioinformatik

    Author : Linde Brokmar; [2023]
    Keywords : Protein design; de novo design; protein engineering; generative ai; machine learning; peptide binders; AF2; EvoBind; RFdiffusion; ProteinMPNN;

    Abstract : Peptide binders are short proteins that bind to larger proteins. Due to peptide binders having high specificity and being cheap to synthesize, they are a prime candidate for drug design. Creating new proteins in silico can be divided into three steps: protein backbone generation, sequence design, and computational filtering. READ MORE

  6. 5. High-Performing Cloud Native SW Using Key-Value Storage or Database for Externalized States

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Ahmed Sikh; Joel Axén; [2023]
    Keywords : cloud-native; externalized states; latency; simulator; Redis; PostgreSQL; moln-nativ; externaliserade tillstånd; latens; simulator; Redis; PostgreSQL;

    Abstract : To meet the demands of 5G and what comes after, telecommunications companies will need to replace their old embedded systems with new technology. One such solution could be to develop cloud-native applications that offer many benefits but are less reliable than embedded systems. READ MORE