Essays about: "Osäkerhet provtagning"

Found 3 essays containing the words Osäkerhet provtagning.

  1. 1. When is Electric Freight Cost Competitive? : Computational modeling and simulation of total cost of ownership for electric truck fleets

    University essay from Linköpings universitet/Institutionen för ekonomisk och industriell utveckling

    Author : Anton Zackrisson; [2023]
    Keywords : electric freight; battery-electric trucks; total cost of ownership; decision making under deep uncertainty DMDU ; cost-competitiveness; exploratory modeling and analysis EMA ; EMA workbench; quasi-Monte Carlo method; VRP; EVRP; elektrifiering; godstransport; elektriska lastbilar; total ägandekostnad; kostnadskonkurrenskraft; ruttoptimering;

    Abstract : Battery electric trucks (BETs) offer environmental benefits in terms of reduced carbon emissions and enhanced energy efficiency but have been challenged with economic viability compared to conventional internal combustion engine trucks (ICETs) caused by substantial acquisition costs, limited charging infrastructure, and concerns regarding range and payload capacity.  Previous studies focus on TCO at the vehicle or policy level but overlook the system and firm-level impacts. READ MORE

  3. 2. Utvärdering av sensordata för bedömning av surstötar

    University essay from SLU/Dept. of Aquatic Sciences and Assessment

    Author : Elijah Selin Norén; [2022]
    Keywords : Försurningsepisoder; försurningsskador; sensorer; vattendrag; organiska syror;

    Abstract : Surstötar är en naturligt förekommande process i sötvattenekosystem. Episoderna kan förvärras av mänsklig aktivitet och kan därför få stor effekt på biota eftersom systemet är mera känsligt under perioder med högflöden. READ MORE

  4. 3. Enhancing Deep Active Learning Using Selective Self-Training For Image Classification

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

    Author : Emmeleia Panagiota Mastoropoulou; [2019]
    Keywords : Semi-supervised learning; Active learning; Image classification; Deep learning; Transfer learning; Uncertainty sampling; Forgetting Event; Semi-övervakad inlärning; Aktivt lärande; Bildklassificering; Djup lärning; Överför lärande; Osäkerhet provtagning; Glömmer händelse;

    Abstract : A high quality and large scale training data-set is an important guarantee to teach an ideal classifier for image classification. Manually constructing a training data- set  with  appropriate  labels  is  an  expensive  and  time  consuming  task. READ MORE