Essays about: "network concepts"

Showing result 1 - 5 of 333 essays containing the words network concepts.

1. 1. The recruitment process to corporate boards - A qualitative study investigating female underrepresentation

   University essay from Göteborgs universitet/Graduate School

   Author : Johanna Berg; Lina Holmqvist; [2023-06-29]
   Keywords : recruitment; social network; gender; equality; social structures; female underrepresentation;

   Abstract : This research put emphasis on the election committee and its role in the recruitment process for corporate boards. Particularly, it investigates the cause of female underrepresentation in the boardroom of corporations listed on the Swedish stock exchange. READ MORE

3. 2. Techno-economic analysis and simulation of low temperature district heating networks

   University essay from Lunds universitet/Avdelningen för Energi och byggnadsdesign; Lunds universitet/Institutionen för arkitektur och byggd miljö

   Author : Ilia Iarkov; [2023]
   Keywords : Low-temperature district heating; Modelica; BTES; LCA; LCC; Technology and Engineering;

   Abstract : The continuous increase in global energy consumption has led to a greater focus on the energy required for heating buildings. This thesis presents a techno-economic model for analysing low-temperature district heating networks coupled with a geothermal heat source. READ MORE

4. 3. Digital Wars: #GuacamayaLeaks and the rise of hacktivism in technopolitics : A netnography to understand the complexity of digital communication processes.

   University essay from Jönköping University/HLK, Communication, Culture and Diversity (CCD); Jönköping University/HLK, Medie- och kommunikationsvetenskap; Jönköping University/Sustainability Education Research (SER)

   Author : Viviana Levet; [2023]
   Keywords : hacktivism; technopolitics; netnography; information flows; gatekeeping; communication ecologies; digital media; social media; network society;

   Abstract : This master thesis explores the dynamics of information flows between the hacktivist group Guacamaya, media outlets and social media users. The study aims to understand the role of various social actors within the digital space such as media outlets, journalists, bots, and trolls, in shaping public opinion and the overall effectiveness of the group's communication activities. READ MORE

5. 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

6. 5. Towards gradient faithfulness and beyond

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Vincenzo Buono; Isak Åkesson; [2023]
   Keywords : XAI; Visual Explanations; CAM; Grad-CAM; Expected Grad-CAM; Hyper Expected Grad; Class Activation Maps; Explainable AI; Faithfulness; Neural Network interpretability; Hyper Resolution CAM; Super Resolution CAM; Natural Encoding;

   Abstract : The riveting interplay of industrialization, informalization, and exponential technological growth of recent years has shifted the attention from classical machine learning techniques to more sophisticated deep learning approaches; yet its intrinsic black-box nature has been impeding its widespread adoption in transparency-critical operations. In this rapidly evolving landscape, where the symbiotic relationship between research and practical applications has never been more interwoven, the contribution of this paper is twofold: advancing gradient faithfulness of CAM methods and exploring new frontiers beyond it. READ MORE