Results 151 to 160 of about 3,499,798 (281)
British Educational Research Journal, EarlyView.Abstract Parents of children with special educational needs and disabilities (SEND) increasingly seek information and support through online discussions, yet little is known about how architectural features of digital platforms shape the interactions and support that parents encounter. The paper makes two contributions: First, it develops and applies a
Alan Shaw, Patricia A. Shaw
wiley +1 more source
Adversarial Robustness on Image Classification With
IEEE AccessAttacks and defences in adversarial machine learning literature have primarily focused on supervised learning. However, it remains an open question whether existing methods and strategies can be adapted to unsupervised learning approaches.
Rollin Omari, Junae Kim, Paul Montague
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Bridging the translational gap in clinical nanomedicine: From rational design to clinical reality
BMEMat, EarlyView.Nanotechnology offers a multi‐faceted approach to modern healthcare, encompassing high‐sensitivity diagnostic imaging, innovative vaccine delivery, and targeted therapeutics. This review explores how these nanomedicine applications address critical challenges in cancer recurrence and the treatment of neurologic and respiratory diseases to combat rising
Ahmed H. Ghonaim +9 more
wiley +1 more source
Brain Health, EarlyView.ABSTRACT The level of human cognition has enabled advancements in technologies that enable planetary and space exploration with discoveries and innovations. The understanding of human cognition and the evolution of cognition in other species, alongside advances in neuroscience, serve as catalysts for the neurology revolution aimed at enhancing human ...
Paul Olowoyo +2 more
wiley +1 more source
Synthetic-augmented adversarial training for robust chest x-ray classification
Discover Artificial IntelligenceCNN-based classifiers have become an essential tool in medical imaging for tasks such as chest X-ray classification. However, their widespread adoption is hindered by two significant challenges: vulnerability to adversarial attacks and poor ...
Natalie Wong Zi Ling, Nico Surantha
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Adversarial training improves model interpretability in single-cell RNA-seq analysis. [PDF]
Bioinform Adv, 2023 Sadria M, Layton A, Bader GD.
europepmc +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This paper examines the relationship between industrial robotics adoption and ecological capacity, measured by biocapacity, using panel data from 50 countries over the period 2000–2024. We investigate the transmission mechanisms, non‐linearities, spatial spillovers, and heterogeneity characterizing this relationship.
Brahim Bergougui +1 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT In an era of rising geopolitical tensions and environmental instability, corporate political activities have become increasingly intertwined with ethical challenges and sustainability requirements. This study investigates the influence of environmental dynamics and corporate ethical responsibility on interorganizational conflict and ...
David Yulong Liu +4 more
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Environmental, social and governance (ESG) factors have gained significant prominence within the corporate landscape, becoming essential to the sustainability and success of modern business models. Companies are increasingly required to integrate sustainable and responsible practices into their daily operations to meet stakeholder expectations
Roberto Cerchione, Viviana Sicardi
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Diversifying Emotional Dialogue Generation via Selective Adversarial Training. [PDF]
Sensors (Basel), 2023 Li B, Zhao H, Zhang Z.
europepmc +1 more source