Results 61 to 70 of about 5,543,464 (336)
Empowering Healthcare Through User Feedback: A Multidimensional Analysis of the Knowledge
Patient Preference and Adherence, 2023 Minna Richards,1 Saija Inkeroinen,1 Jouko Katajisto,2 Sasu Muje,1 Heli Virtanen,1 Helena Leino-Kilpi1,3 1Department of Nursing Science, University of Turku, Turku, Finland; 2Department of Mathematics and Statistics, University of Turku, Turku, Finland ...
Richards M +5 more
doaj
Mixed Similarity Diffusion for Recommendation on Bipartite Networks
IEEE Access, 2017 In recommender systems, collaborative filtering technology is an important method to evaluate user preference through exploiting user feedback data, and has been widely used in industrial areas.
Ximeng Wang +5 more
doaj +1 more source
Feedback Allocation For OFDMA Systems With Slow Frequency-domain Scheduling [PDF]
, 2012 We study the problem of allocating limited feedback resources across multiple users in an orthogonal-frequency-division-multiple-access downlink system with slow frequency-domain scheduling.
Constantine Caramanis +8 more
core +4 more sources
Comparison of Different Visual Feedback Methods for SSVEP-Based BCIs
Brain Sciences, 2020 In this paper we compared different visual feedback methods, informing users about classification progress in a steady-state visual evoked potential (SSVEP)-based brain–computer interface (BCI) speller application.
Mihaly Benda, Ivan Volosyak
doaj +1 more source
Grasping Embodiment: Haptic Feedback for Artificial Limbs
Frontiers in Neurorobotics, 2021 Upper-limb prostheses are subject to high rates of abandonment. Prosthesis abandonment is related to a reduced sense of embodiment, the sense of self-location, agency, and ownership that humans feel in relation to their bodies and body parts.
Charles H. Moore +7 more
doaj +1 more source
Exploiting user feedback to compensate for the unreliability of user models [PDF]
User Modeling and User-Adapted Interaction, 1992 Natural Language is a powerful medium for interacting with users, and sophisticated computer systems using natural language are becoming more prevalent. Just as human speakers show an essential, inbuilt responsiveness to their hearers, computer systems must “tailor” their utterances to users.
Moore, Johanna D., Paris, Cécile L.
openaire +2 more sources
International Conference on Human Factors in Computing SystemsThe conflict between the rapid iteration demand of prototyping and the time-consuming nature of user tests has led researchers to adopt AI methods to identify usability issues. However, these AI-driven methods concentrate on evaluating the feasibility of
Wei Xiang +7 more
semanticscholar +1 more source
Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO [PDF]
IEEE Transactions on Wireless Communications, 2020 This paper shows that deep neural network (DNN) can be used for efficient and distributed channel estimation, quantization, feedback, and downlink multiuser precoding for a frequency-division duplex massive multiple-input multiple-output system in which ...
Foad Sohrabi, Kareem M. Attiah, Wei Yu
semanticscholar +1 more source
Clinical Insights Into Hypercalcemia of Malignancy in Childhood
Pediatric Blood &Cancer, EarlyView.ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley +1 more source
PROFEE: A Probabilistic-Feedback Based Speed Rate Adaption for IEEE 802.11bc
Future Internet, 2023 WiFi is a widely used wireless technology for data transmission. WiFi can also play a crucial role in simultaneously broadcasting content to multiple devices in multimedia transmission for venues such as classrooms, theaters, and stadiums, etc ...
Javier Gomez +3 more
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