Essays about: "not sharing"

Showing result 16 - 20 of 963 essays containing the words not sharing.

  1. 16. Digital media use towards relationship initiation in marketing : A qualitative study of Swedish Micro-firms in a B2B context

    University essay from Umeå universitet/Företagsekonomi

    Author : Xian Li; [2023]
    Keywords : Keywords: Digital media; Relationship marketing; Business-to-Business marketing; Trust; Customer relationship initiation;

    Abstract : This thesis aims to explore what and how Swedish micro firms use digital media towards relationship initiation in a Business-to-Business (B2B) context. Digital media has been increasingly studied in marketing over time, but it has been predominated by Business-to- Customer (B2C) context, while the Business-to-Business context lacks attention, micro B2B firms even less in particular. READ MORE

  3. 17. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

    University essay from Lunds universitet/Matematisk statistik

    Author : Alexander Gren; Klara Lundgren; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE

  4. 18. Digital Front End Algorithms for Sub-Band Full Duplex

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

    Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
    Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

    Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. READ MORE

  5. 19. Sustainability benefits of industrial symbiosis: Building value from stakeholders

    University essay from Lunds universitet/Internationella miljöinstitutet

    Author : Laura Elizabeth Redmond; [2023]
    Keywords : Industrial symbiosis; stakeholder engagement; sustainable business models; circularity; sustainability benefits; Social Sciences;

    Abstract : The circular economy (CE) brings a shift in business operations that could increase societal well-being and reduce environmental costs, making regionalization and circular supply chains crucial to reduce greenhouse gas emissions. Industrial Symbiosis (IS) is a strategy to enhance the circularity of industry by exchanging resources and knowledge sharing between different actors in an industrial system. READ MORE

  6. 20. S-MARL: An Algorithm for Single-To-Multi-Agent Reinforcement Learning : Case Study: Formula 1 Race Strategies

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

    Author : Marinaro Davide; [2023]
    Keywords : Reinforcement Learning; Single-to-Multi-Agent; Learning Stability; Exploration-Exploitation trade-off; Race Strategy Optimization; Förstärkningsinlärning; Från en till flera agenter; Stabilitet vid inlärning; Utforskning-exploatering; Optimering av tävlingsstrategier;

    Abstract : A Multi-Agent System is a group of autonomous, intelligent, interacting agents sharing an environment that they observe through sensors, and upon which they act with actuators. The behaviors of these agents can be either defined upfront by programmers or learned by trial-and-error resorting to Reinforcement Learning. READ MORE