Sökning: "Impact of Information Systems"

Visar resultat 1 - 5 av 815 uppsatser innehållade orden Impact of Information Systems.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER

  2. 2. Efficiency by design : A way to meet expert users' needs

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Nike Vejbrink Starbrink; [2024]
    Nyckelord :User Experience; Interaction Design; Usability; Expert Users; Efficiency;

    Sammanfattning : The administration software is a crucial component of any successful company. It is often overlooked, but it plays an essential role in ensuring the smooth operation of the business. It is the backbone of the company's operations, and it must be able to meet the evolving needs of its users. LÄS MER

  3. 3. Shifting focus from yields to food supply : an evaluation of the ‘number of people fed per hectare’ indicator at farm and national level

    Master-uppsats, SLU/Department of Molecular Sciences

    Författare :Ida Ekqvist; [2024]
    Nyckelord :Land use efficiency; Sustainability indicators; Agricultural productivity; Food production;

    Sammanfattning : The challenge of feeding a growing global population while reducing the pressure on climate and ecosystems has gained much attention in research over the last decades. A crucial yet often overlooked aspect in research addressing this complex challenge is the efficiency of food production in meeting nutritional needs within the constraints of global cropland resources. LÄS MER

  4. 4. En undersökning av metoder förautomatiserad text ochparameterextraktion frånPDF-dokument med NaturalLanguage Processing

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Alexander Värling; Emil Hultgren; [2024]
    Nyckelord :portable document format; faktura; digitalisering; IT-lösningar; optisk teckenigenkänning; textextraktion; naturlig språkbehandling; generative pre-trained transformer; portable document format; faktura; digitalisering; IT-lösningar; optisk teckenigenkänning; textextraktion; naturlig språkbehandling; generative pre-trained transformer;

    Sammanfattning : I dagens affärsmiljö strävar många organisationer efter att automatisera processen för att hämta information från fakturor. Målet är att göra hanteringen av stora mängder fakturor mer effektiv. Trots detta möter man utmaningar på grund av den varierande strukturen hos fakturor. LÄS MER

  5. 5. Offshore Wind Farms in Norway : A Spatial Multi-Criteria Analysis for Optimal Site Location

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Adam Törnqvist; Vincent Edberg; [2024]
    Nyckelord :Offshore wind power; Spatial Multi-criteria Analysis; Renewable energy; Suit-ability map; Geographical Information System; Havsbaserad vindkraft; Spatial multikriterieanalys; Förnybar energi; Lämp-lighetskarta; Geografiskt informationssystem;

    Sammanfattning : Recognizing the imperative transition towards renewable energy sources to combat climate change, this study explores the outlooks for offshore wind power in Norway, a country endowed with extensive coastlines and favourable wind conditions. The thesis sets out to support decision-making processes by synthesizing contemporary research and applying context-specific insights to the southern half of the Norwegian economic zone (NEZ) into a comprehensive Spatial-Multi-criteria Analysis (SMCA). LÄS MER