Essays about: "types of decision making in organization"

Showing result 1 - 5 of 26 essays containing the words types of decision making in organization.

  1. 1. Brain Tumor Grade Classification in MR images using Deep Learning

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Eleftheria Chatzitheodoridou; [2022]
    Keywords : brain tumor; glioma; magnetic resonance imaging; deep learning; brain tumor grade classification; convolutional neural network; transfer learning; explainability; multi-class classification;

    Abstract : Brain tumors represent a diverse spectrum of cancer types which can induce grave complications and lead to poor life expectancy. Amongst the various brain tumor types, gliomas are primary brain tumors that compose about 30% of adult brain tumors. READ MORE

  3. 2. What are the incentives that most motivate project team members working within high uncertainty context? : A quantitative study on the use of incentives in projects

    University essay from Linköpings universitet/Företagsekonomi; Linköpings universitet/Filosofiska fakulteten

    Author : Alexis Bidaud; Dimitri Descroizilles; [2021]
    Keywords : Incentive; Employee motivation; Information technology; Project management.;

    Abstract : Incentives that efficiently motivate employees are crucial to any successful organization.The aims of this research are to find out the most frequently used incentives as well as the most motivating ones for projects team members working within high uncertainty context. The following paper is composed of four main parts. READ MORE

  4. 3. Formation Control and UAV Path Finding Under Uncertainty : A contingent and cooperative swarm intelligence approach

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Mehdi Hmidi; [2020]
    Keywords : Emergence; Swarm Intelligence; Cooperation; Consensus; Path Find- ing; Uncertainty; Obstacle avoidance; Unknown Beforehand; Decision making; Flocking behavior; Cohesion; Separation; Alignment; Steering; Pattern forma- tion; Self-organization; Swarm; UAV; Drone;

    Abstract : Several of our technological breakthroughs are influenced by types of behavior and structures developed in the natural world, including the emulation of swarm in- telligence and the engineering of artificial synapses that function like the human mind. Much like these breakthroughs, this report examines emerging behaviors across swarms of non-communicating, adaptive units that evade obstacles while find- ing a path, to present a swarming algorithm premised on a class of local rule sets re- sulting in a Unmanned Aerial Vehicle (UAV) group navigating together as a unified swarm. READ MORE

  5. 4. Insights about Business Intelligence and Decision-Making : A case study at Systembolaget

    University essay from Uppsala universitet/Företagsekonomiska institutionen

    Author : Viktor Sjöberg; Elisabeth Hugner; [2020]
    Keywords : Business Intelligence; Decision Support System; Decision-making levels; System 1 and System 2 decisions; Non-profit organization;

    Abstract : In today’s constantly evolving technological environment, businesses have more tools to support decision-making and these can be categorized as Decision Support Systems (DSS). One of the tools is Business Intelligence (BI), which is regarded as a high-priority investment in organizations nowadays. READ MORE

  6. 5. Interpreting Multivariate Time Series for an Organization Health Platform

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

    Author : Rohit Saluja; [2020]
    Keywords : Interpretability; Forecasting; Local interpretable model-agnostic explanations; Shapley additive explanations; Time series; Explainable artificial intelligence; Tolkbarhet; Prognoser; Lokala tolkningsbara modell-agnostiska förklaringar; Shapley additiva förklaringar; Tidsserier; Förklarbar artificiell intelligens;

    Abstract : Machine learning-based systems are rapidly becoming popular because it has been realized that machines are more efficient and effective than humans at performing certain tasks. Although machine learning algorithms are extremely popular, they are also very literal and undeviating. READ MORE