Results 221 to 230 of about 229,241 (272)

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

open access: yesSmall, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun   +4 more
wiley   +1 more source

Buchanan and the Social Contract: Coordination Failures and the Atrophy of Property Rights

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT James Buchanan advocated that societies should be based on a social contract. He rejected anarchy, seeing it as a “Hobbesian jungle” that calls for government intervention to maintain social order. He also opposed theories of spontaneous order. These views led to debates about the compatibility of Buchanan's works with classical liberalism and
Stefano Dughera, Alain Marciano
wiley   +1 more source

Concussed: Unintended Consequences of the Guardian Cap Mandate in the NFL

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT Guardian Caps are padded shells worn over American football helmets to cushion impacts and reduce concussion risks. In 2022, the NFL mandated their use for specific position groups during preseason practices, later expanding this requirement. While the league praised the Caps for enhancing player safety, skeptics argue they may promote riskier
Kerianne Lawson Rubenstein, Todd Nesbit
wiley   +1 more source

Large Language Model Adaptation Strategies in Speech-Based Cognitive Screening: Systematic Evaluation. [PDF]

open access: yesJMIR AI
Taherinezhad F   +8 more
europepmc   +1 more source

Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom   +2 more
wiley   +1 more source

Beyond Radiomics Alone: Enhancing Prostate Cancer Classification with ADC Ratio in a Multicenter Benchmarking Study. [PDF]

open access: yesDiagnostics (Basel)
Samaras D   +7 more
europepmc   +1 more source

Perspectives On Machine Learning Inference Serving in Real‐World Settings

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Introduction As machine learning (ML)‐enabled systems become increasingly prevalent across industries, the engineering challenges of deploying and maintaining them in production have emerged as critical. The existing engineering knowledge base often derives from conceptual frameworks or case studies conducted by large technology companies ...
Dennis Muiruri   +3 more
wiley   +1 more source

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