Results 131 to 140 of about 2,540,801 (303)
A robust recursive least squares algorithm
, 1997 A new algorithm is developed, which guarantees the normalized bias in the weight vector due to persistent and bounded data perturbations to be bounded, Robustness analysis for this algorithm has been presented, An approximate recursive implementation is ...
DESAI, UB +3 more
core +1 more source
Scale‐space image analysis for mapping spotted knapweed in grassland ecosystems
Applications in Plant Sciences, EarlyView.Abstract Premise This study investigates the value of scale‐space representations of spatial features for the identification and mapping of invasive plants using high‐resolution multispectral imagery. Scale‐space representations combine the two‐dimensional spatial domain with a third dimension representing spatial scale, such that features can be ...
Shohreh Sahebi, David J. Hill
wiley +1 more source
Anatomical Sciences Education, EarlyView.Abstract Artificial Intelligence (AI) has emerged as a transformative force in medical education, enabling customized, feedback‐rich, and immersive learning experiences. Anatomy education, as a discipline that is simultaneously visual, spatial, and clinically foundational, occupies a distinctive position within this technological landscape.
Rachel Jayasekhar, Gok Kandasamy
wiley +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley +1 more source
Journal of the Association for Information Science and Technology, EarlyView.Abstract Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture.
Martin Thellefsen, Alon Friedman
wiley +1 more source
, 2011 A method for handling metabonomics data from liquid chromatography/mass spectrometry: combinational use of support vector machine recursive feature elimination, genetic algorithm and random forest for feature ...
WangQuancai +7 more
core
Journal of the Association for Information Science and Technology, EarlyView.Abstract Algorithmic platforms are reshaping how people work and how human activity is rendered intelligible within data‐intensive systems. This paper argues that Heidegger's philosophy of technology, specifically Ge‐stell (enframing) and Poiesis (bringing‐forth), offers information science a conceptual vocabulary for understanding both algorithmic ...
Fred Fonseca
wiley +1 more source
Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
Asian Journal of Control, EarlyView.Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi +2 more
wiley +1 more source
Realizing the Calculation of a Fully Normalized Associated Legendre Function Based on an FPGA
SensorsA large number of fully normalized associated Legendre function (fnALF) calculations are required to compute Earth’s gravity field elements using ultra high-order gravity field coefficient models.
Yuxiang Fang, Qingbin Wang, Yichao Yang
doaj +1 more source
Asian Journal of Control, EarlyView.Abstract The linear‐quadratic regulator (LQR) problem of optimal control of an uncertain discrete‐time linear system (DTLS) is revisited in this paper from the perspective of Tikhonov regularization. We show that an optimally chosen regularization parameter reduces, compared to the classical LQR, the values of a scalar error function, as well as the ...
Fernando Pazos, Amit Bhaya
wiley +1 more source