Results 121 to 130 of about 51,876 (192)

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh   +4 more
wiley   +1 more source

A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract The emergence of generative artificial intelligence (GenAI) is reshaping the research landscape and carries significant implications for Digital Humanities (DH), a field long intertwined with computational methods and technologies. This study examines how DH scholars are adopting and critically evaluating GenAI in their research. Drawing on an
Rongqian Ma, Meredith Dedema, Andrew Cox
wiley   +1 more source

A real‐world data‐driven approach to optimizing enoxaparin dosing in burn patients

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aim Enoxaparin dosing in burn patients is challenging due to physiological changes affecting absorption, distribution and clearance. The objectives of this study are to develop a population pharmacokinetic (PK) model for enoxaparin in burn patients, evaluate target attainment with current equation‐based (EQ) dosing and propose an optimized dosing ...
Babajide Shenkoya   +3 more
wiley   +1 more source

Unveiling patterns: an exploration of machine learning techniques for unsupervised feature selection in single-cell data. [PDF]

open access: yesBrief Bioinform
Chatterjee N   +6 more
europepmc   +1 more source

Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz   +3 more
wiley   +1 more source

Shaping research in marine functional connectivity for integrated and effective marine science and management

open access: yesBiological Reviews, EarlyView.
ABSTRACT Effective knowledge of ecological connectivity at sea and at the land–sea interface is key to supporting global policy goals to conserve and restore ocean biodiversity and function. However, a persistent lack of commonality in terminology and understanding around the concept of connectivity in marine ecological studies hampers its integration ...
Audrey M. Darnaude   +20 more
wiley   +1 more source

Early classification of functional connectomes in Parkinson's disease: a comparison of machine learning classifiers using multi-scale topological features. [PDF]

open access: yesBMC Med Inform Decis Mak
Donisi L   +9 more
europepmc   +1 more source

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