Results 221 to 230 of about 27,345 (261)
A Novel Approach to Energy Management in Electric Steelworks
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla +12 more
wiley +1 more source
Accounting for Friendlessness: Stigma and the Quest for an Honorable Self
How do people who identify as friendless make sense of their condition in a moment when friendship is extolled for the support and satisfaction it offers? This article draws on interviews with 21 adults in an Atlantic Canadian city. We argue that our interviewees were rarely at ease with their friendlessness and were at pains to recover an honorable ...
Laura Eramian, Peter Mallory
wiley +1 more source
“I'm a Good Guy Who Deserves Better, Yet Nobody Wants to Give me Better”: The Accounts of Nice Guys
Within Western popular culture and online discourse, a “Nice Guy” is someone who enacts niceness for which they believe they are owed, deserving of, or entitled to something in return—especially the romantic or sexual attention of women. In this study, we examine the use of accounts in personal narratives told in an anonymous online discussion forum ...
Brooke Weinmann, Dennis D. Waskul
wiley +1 more source
Formation of Distance‐Based Orientation: Political Identity through Relational Positioning in Israel
Distance‐based orientation describes how pejorative labels may serve as anchor points for political identity. Existing research on political labeling has largely emphasized stigmatization, overlooking how labels may acquire durability and orienting capacity without losing pejorative force. Drawing on publicly circulating discourse, we trace positioning
Tammar Friedman, Asaf Saadon
wiley +1 more source
ABSTRACT Smart Transportation Systems (SmTS) will exceed complex systems with their classification as complex, sociotechnical, and AI‐based systems. Possessing a toolkit that helps systemically understand, analyze, and assess these systems will be advantageous in the early stages of the systems engineering (SE) lifecycle, and Agent Based Models (ABMs ...
Ifezue V. Obiako +3 more
wiley +1 more source
Abstract This classroom study explored the effects of vocabulary support on collocation learning and affective responses in task‐based language teaching (TBLT) among English‐as‐a‐foreign‐language (EFL) learners at a Japanese university. For this purpose, 68 EFL learners completed two interactive information‐gap tasks under either vocabulary‐support or ...
Yuichi Suzuki, Sachiko Nakamura
wiley +1 more source
Abstract This article reports on a qualitative study of the way instructors and students understand and respond to traumatizing events in a Sri Lankan university. It shows how the attitudes and practices in the society at large are carried over to classrooms even though local institutions do not have a programmatic trauma‐informed pedagogy.
Suresh Canagarajah +1 more
wiley +1 more source
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Multi-Modal Convolutional Dictionary Learning
IEEE Transactions on Image Processing, 2022Convolutional dictionary learning has become increasingly popular in signal and image processing for its ability to overcome the limitations of traditional patch-based dictionary learning. Although most studies on convolutional dictionary learning mainly focus on the unimodal case, real-world image processing tasks usually involve images from multiple ...
Fangyuan Gao, Xin Deng, Mai Xu
exaly +3 more sources
Alternating Proximal Regularized Dictionary Learning
Neural Computation, 2014We present an algorithm for dictionary learning that is based on the alternating proximal algorithm studied by Attouch, Bolte, Redont, and Soubeyran ( 2010 ), coupled with a reliable and efficient dual algorithm for computation of the related proximity operators.
SALZO, SAVERIO +3 more
openaire +3 more sources
Parsimonious dictionary learning
2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009Sparse modeling of signals has recently received a lot of attention. Often, a linear under-determined generative model for the signals of interest is proposed and a sparsity constraint imposed on the representation. When the generative model is not given, choosing an appropriate generative model is important, so that the given class of signals has ...
Mehrdad Yaghoobi +2 more
openaire +1 more source

