Results 201 to 210 of about 20,583 (298)

XAI

International Journal for Research in Applied Science and Engineering Technology
openaire   +1 more source

Data‐Driven Emulation of Numerically Simulated Baltic Sea Surface Currents With a Deep Convolutional U‐Net: Explainability and Potential Forecast Skill

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Ocean models can represent surface circulation at kilometer scales, but their computational cost limits broad experimentation. We present DeepCUN, a deep convolutional encoder–decoder (U‐Net) that emulates daily mean Baltic Sea surface current components on a 1‐nautical‐mile grid.
Amirhossein Barzandeh, Christoph Manss, Frederic Stahl, Ilja Maljutenko, Sander Rikka, Urmas Raudsepp   +5 more
wiley   +1 more source

Explainable Artificial Intelligence in Mammography: A Systematic Review of Methods, Evaluation Practices, and Clinical Readiness. [PDF]

Diagnostics (Basel)
Pesapane F, Rotili A, Penco S, Dominelli V, Priolo F, Marinucci I, Nicosia L, Grasso R, Pravettoni G, Cassano E.   +9 more
europepmc   +1 more source

Approaching Principles of XAI: A SYSTEMATIZATION

IEEE Transactions on Artificial Intelligence
Raphael Ronge, Bernhard Bauer 0001, Benjamin Rathgeber   +2 more
openaire   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, Volume 72, Issue 7, July 2026.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Clinician-Centric Explainable Artificial Intelligence Framework for Medical Imaging Diagnostics: A Systematic Review. [PDF]

Int J Biomed Imaging
Ikerionwu C, Arungwa I, Emelogu TM, Nwabuike CE, Ukwandu E.   +4 more
europepmc   +1 more source

Terrestrial Ecosystem Detection Based on Deep Learning Framework and Satellite Image Geographical Information

Geoscience Data Journal, Volume 13, Issue 3, July 2026.
The proposed deep learning framework integrates ResNet‐50 and LSTM models to detect and classify terrestrial ecosystems from satellite imagery. The workflow begins with image preprocessing using bilateral, guided, and median filters to enhance image quality and preserve edges.
Liang Dong, Fan Lei, Dongliang Huang, Yuye Gong, Jide Wei, Wenjing She   +5 more
wiley   +1 more source

Demystifying Artificial Intelligence: A Systematic Review of Explainable Artificial Intelligence in Medical Imaging. [PDF]

Sensors (Basel)
Fayaz M, Hagsong K, Danish S, Dang LM, Sadeghi-Niaraki A, Moon H.   +5 more
europepmc   +1 more source

Shaping expectations, losing flexibility: A study of CEO promises as strategic communication tools

Strategic Management Journal, Volume 47, Issue 7, Page 1980-2061, July 2026.
Abstract Research Summary CEO promises are powerful but understudied communication tools. We develop a dual‐mechanism framework theorizing that while CEO promises elevate stakeholder expectations, they simultaneously constrain strategic flexibility. We argue that CEO promise‐making is shaped by two competing pressures: making more promises when the ...
Majid Majzoubi, Alex Murray, William J. Mayew   +2 more
wiley   +1 more source

ExplainTS: a benchmark dataset of pretrained models and <i>post-hoc</i> explanations for time-series classification. [PDF]

Front Artif Intell
Mozolewski M, Bobek S, Nalepa GJ.
europepmc   +1 more source