Search for dissertations about: "multiple intelligence"

Showing result 1 - 5 of 64 swedish dissertations containing the words multiple intelligence.

  2. 1. Designing Advertisement Systems with Human-centered Artificial Intelligence

    Author : Johannes Sahlin; Håkan Sundell; Gideon Mbiydzenyuy; Håkan Alm; Jesper Holgersson; Leona Chandra Kruse; Högskolan i Skövde; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Digital Advertisement Optimization; Design Knowledge; Information System Design Theory; Artificial Intelligence; Reinforcement Learning; Human-centered AI;

    Abstract : Practitioners are urging using Artificial Intelligence (AI) to improve advertisements. Advertisers recognize the importance of incorporating AI into their strategies to remain competitive. READ MORE

  4. 2. Working Memory and Higher-Order Cognition in Children

    Author : Carin Tillman; Gunilla Bohlin; Ann-Margret Rydell; John Towse; Uppsala universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Intelligence; executive function EF ; working memory; ADHD; children; Psychology; Psykologi;

    Abstract : Higher-order cognitive functions, such as executive function (EF) and intelligence, are crucial to the everyday functioning of human beings. Gaining knowledge about these functions is important for our general understanding of human nature as well as for our ability to help those who may not develop these processes optimally. READ MORE

  5. 3. Functional and Modular As=C and P=C Group Motifs

    Author : Daniel Morales Salazar; Andreas Orthaber; Jose Goicoechea; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; materials; physical chemistry; arsaalkenes; phosphaalkenes; DBU; fluorene; photochemistry; arsenic; phosphorus; carbon; hydrogen; sulfur; gold; copper; organic materials; organic electronics; molecular electronics; polymers; transition metal complexes; molecular materials; small molecule; hydrogen bonding; electrochemistry; cyclic voltammetry; chronoamperometry; electropolymerization; artificial intelligence; potentiodynamic; modularity; functionality; XPS; DFT; π-conjugation effects; 2D-NMR; disilenes; siliconoids; group motifs; functional group; emergence; reactivity; reactive systems; organometallic complexes; π-delocalization; low-coordinate; main group chemistry; heavy p-block elements; pnictogens; copper I complex; gold I complex; photosensitizer; XRD; spectroelectrochemistry; electrochromism; smart materials; synthesis; phosphaalkene ligands; imine ligands; hysteresis-like criteria; representative settings; optimal criteria; transient covalence; interactive image; conformer; isomer; ligand scrambling; nanomaterials; stimuli-responsive; optical properties; ligand design; molecular design; X-ray crystallography; emission; self-assembly; As=C; Si=Si; P=C; multiple bond; equilibrium; heteroalkenes; alkenes; reversibility; Raman; ATR-FTIR; ERDA; Kemi; Chemistry;

    Abstract : This work focuses on the design, synthesis, characterization, and application projections of low-coordinated heavy pnictogen-containing (described by the generic letter E, hence E=C) phosphaalkenes (P=C) and arsaalkenes (As=C), with emphasis on the E=C group motifs. The work aims to understand their functional and modular character, reactivity, and potential applications by stabilizing, isolating, and characterizing these species in low-coordination environments. READ MORE

  6. 4. Handling severe uncertainty in strategic project appraisal : Methods and applications of context analysis

    Author : Anton Talantsev; Aron Larsson; David Sundgren; John Ward; Stockholms universitet; []
    Keywords : MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Decision Intelligence; Deep Uncertainty; Scenario Analysis; Multiple Criteria Decision Analysis; Simulation; Context Analysis; Project Appraisal; Risk Assessment; Threat and Opportunity; Computer and Systems Sciences; data- och systemvetenskap;

    Abstract : The long-term success or failure of a strategic project is largely shaped by its context. Therefore, the assessment of the external factors influencing the fulfilment of project long-term goals is vital for the effective project appraisal and planning. READ MORE

  7. 5. Representation learning for natural language

    Author : Olof Mogren; RISE; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; artificial neural networks; artificial intelligence; natural language processing; deep learning; machine learning; summarization; representation learning;

    Abstract : Artificial neural networks have obtained astonishing results in a diverse number of tasks. One of the reasons for the success is their ability to learn the whole task at once (endto-end learning), including the representations for data. READ MORE