Essays about: "thesis full text"

Showing result 1 - 5 of 45 essays containing the words thesis full text.

  1. 1. Hav av blommor : ett gestaltningsförslag för ängsmark i historisk parkmiljö, Tornerparken, Uppsala

    University essay from SLU/Dept. of Urban and Rural Development

    Author : Magdalena Maria Wojcicka; Sarah Kallmén; [2024]
    Keywords : äng; park; historisk parkmiljö; gestaltningsförslag;

    Abstract : Idag minskar grönområden och biologisk mångfald i stadsmiljöer. För att motverka detta bör grönområden användas mer effektivt och öka i kvalitet, exempelvis genom att omvandla gräsmattor till äng. Syftet med detta examensarbete är att göra ett gestaltningsförslag för äng i Tornerparken, Uppsala. READ MORE

  2. 2. The suffocating enjoyment of the Other: An ideology critique of enjoyment in the mediatisation of the climate crisis

    University essay from Uppsala universitet/Institutionen för arkeologi och antik historia

    Author : Gabriel Bintley; [2024]
    Keywords : Enjoyment; Jouissance; the Other; Climate Crisis; Lacan; Žižek; Environmental Politics; Ideology Critique; Njutning; Jouissance; Den Andre; Klimatkrisen; Lacan; Žižek; Miljöpolitik; Ideologikritik;

    Abstract : This thesis explores how the Lacanian concept of ‘the enjoyment of the Other’ (la jouissance de l’Autre) can be applied to break open normative understandings of the political factors shaping the climate crisis deadlock. The principal aim is to investigate how ostensibly disconnected environmental debates may be regarded as linked by an economy of enjoyment, more precisely by the promise of enjoyment by which the subject is libidinally attached to an ideology. READ MORE

  3. 3. Incremental Re-tokenization in BPE-trained SentencePiece Models

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Simon Hellsten; [2024]
    Keywords : BPE; Byte Pair Encoding; SentencePiece; NLP; Natural Language Processing; Tokenization; Re-tokenization;

    Abstract : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. READ MORE

  4. 4. 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. 5. Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Hengyu Luo; [2023]
    Keywords : prompt-learning; zero-shot; few-shot; text classification; domain-specific; retail sector domain; customer-agent interaction; transformer; large language models; ChatGPT; natural language processing; machine learning; deep learning;

    Abstract : The rapid growth of textual data in the digital age presents unique challenges in domain-specific text classification, particularly the scarcity of labeled data for many applications, due to expensive cost of manual labeling work. In this thesis, we explore the applicability of prompt-learning method, which is well-known for being suitable in few-shot scenarios and much less data-consuming, as an emerging alternative to traditional fine-tuning methods, for domain-specific text classification in the context of customer-agent interactions in the retail sector. READ MORE