Blar i Institutt for datateknologi og informatikk på tittel
Viser treff 1565-1584 av 6828
-
Deciding What to Purchase: Factors Impacting Consumer Decision-Making Behavior in Social Commerce
(Master thesis, 2020)Den stadig utviklende tilstedeværelsen til social commerce medfører betydelige endringer i netthandelens verden, både for forbrukere og produsenter. Følgelig er det av stor interesse for selskaper som er engasjert i social ... -
Deciding what to purchase: How do we consume information on social commerce platforms like Amazon?
(Master thesis, 2020)Denne avhandlingen ser på forskjellige relasjoner mellom en forbrukers kjøpsintensjon og kvaliteten på forskjellig innhold, tilliten mellom selger og kjøper, tilliten en forbruker har i plattformen og også hvordan tidligere ... -
Deciding what to purchase: Which factors influence our trust in products on social commerce platforms?
(Master thesis, 2020)I sosial handel, hvor den sosiale interaksjonen mellom forbrukere blir stadig viktigere, følger et tilsvarende økende behov for å forstå brukeroppførsel. Tidligere forskning har vist at brukergenerert innhold spiller en ... -
Deciding what to purchase: Which factors influence our trust in products on social commerce platforms?
(Master thesis, 2020)I sosial handel, hvor den sosiale interaksjonen mellom forbrukere blir stadig viktigere, følger et tilsvarende økende behov for å forstå brukeroppførsel. Tidligere forskning har vist at brukergenerert innhold spiller en ... -
Deciphering and emulating neuronal communication: Population-level computation from elemental interactions
(Doctoral theses at NTNU;2023:220, Doctoral thesis, 2023)This thesis explores computation in neural systems and how we might draw inspiration from it in designing computational systems. The research conducted for this thesis encompasses both neural data analysis and computational ... -
Deciphering Software Ecosystem for Vendor Analysis and Selection
(Doctoral theses at NTNU;2024:272, Doctoral thesis, 2024) -
Decision Support for Choice of Security Solution: The Aspect-Oriented Risk Driven Development (AORDD) Framework
(Doktoravhandlinger ved NTNU, 1503-8181; 2007:208, Doctoral thesis, 2007)In security assessment and management there is no single correct solution to the identified security problems or challenges. Instead there are only choices and tradeoffs. The main reason for this is that modern information ... -
Decision Support for Predictive Maintenance of Exposed Aquaculture Structures
(Master thesis, 2016)It is a global challenge to produce enough healthy food to a growing world population. By moving industrial fish farming to exposed lo- cations, the farmers can possibly satisfy the dietary requirements of the future by ... -
Decision support in patient-centered health care
(Master thesis, 2017)This thesis aims to create exercise plans for patients with low back pain and is a part of the research project selfBACK. Case-based reasoning is used to create the exercise plans, which is the process of solving new ... -
Decision support material to incorporate quality requirements technologies: a systematic literature review and industrial interviews
(Master thesis, 2010)AbstractBackground: In an applied engineering field like requirements engineering, the final goal of the research is its adoption by industry. For technology transfer to be possible practitioners need strong evidence for ... -
Decision Support System For Social Benefit Support Using Case-Based Reasoning
(Master thesis, 2019)Bruk av skjønn er viktig i evalueringen av økonomisk sosialhjelpsøknader siden en helhetsvurdering av de individuelle behovene til søkeren må gjennomføres. Bruken av skjønn kan gjøre at saksbehandlerne sin subjektivitet ... -
Decisive skyline queries for truly balancing multiple criteria
(Peer reviewed; Journal article, 2023)Skyline queries have emerged as an increasingly popular tool for identifying a set of interesting objects that balance different user-specified criteria. Although in several applications the user aims to detect data objects ... -
Deckbuilding in Magic: The Gathering Using a Genetic Algorithm
(Master thesis, 2017)An important factor when playing Magic: The Gathering is choosing which cards one should play with. This is an example of a combinatorial optimization problem in a large and bewildering search space. In this thesis, we ... -
Decoupling deep learning and reinforcement learning for stable and efficient deep policy gradient algorithms
(Master thesis, 2017)This thesis explores the exciting new field of deep reinforcement learning (Deep RL). This field combines well known reinforcement learning algorithms with newly developed deep learning algorithms. With Deep RL it is ... -
Decreasing Response Time of Failing Automated Tests by Applying Test Case Prioritization
(Master thesis, 2011)Running automated tests can be a time-consuming task, especially when doing regression testing. If the sequence of the execution of the test cases is arbitrary, there is a good chance that many of the defects are not ... -
Deep Active Learning for Autonomous Perception
(Chapter, 2020)Traditional supervised learning requires significant amounts of labeled training data to achieve satisfactory results. As autonomous perception systems collect continuous data, the labeling process becomes expensive and ... -
Deep Active Learning for Autonomous Perception
(Master thesis, 2020)Tradisjonell veiledet læring krever betydelige mengder med annotert treningsdata for å oppnå tilfredsstillende resultater. Ettersom autonome persepsjonssystemer samler inn data kontinuerlig blir annoteringsprosessen meget ... -
A deep CNN model for anomaly detection and localization in wireless capsule endoscopy images
(Peer reviewed; Journal article, 2021)Wireless capsule endoscopy (WCE) is one of the most efficient methods for the examination of gastrointestinal tracts. Computer-aided intelligent diagnostic tools alleviate the challenges faced during manual inspection of ... -
Deep Contextual Grid Triplet Network for Context-Aware Recommendation
(Peer reviewed; Journal article, 2023)Modeling contextual information is a vital part of developing effective recommender systems. Still, existing work on recommendation algorithms has generally put limited focus on the effective treatment of contextual ... -
Deep Convolutional Encoder-Decoder Networks for Digital Rock Porosity Segmentation
(Master thesis, 2019)Digital rock physics (DRP) er en moderne metode for å karakterisere de fysiske egenskapene til ulike typer stein. Ved å modellere korn-, flerfaset- og porevolum i forksjellige bergarter, kan en assistere institusjoner med ...