Results 211 to 220 of about 229,861 (318)

Hybrid attention-based multi-class classification of Ethiopian legal texts using deep learning. [PDF]

PLoS One
Alemu AA, Melese MD, Mengesha DA, Widneh MA.   +3 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Cross-attention guided explainable deep transformer model for multi-level classification of rare neurological disorders using MRI images. [PDF]

Sci Rep
Veerlapalli P, Laxmi Lydia E, Radhika K, Surya Alekhya KRKN, Karim FK, Ishak MK, Mostafa SM.   +6 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Deep learning models built from PSMA PET of the primary tumor can predict synchronous and metachronous prostate cancer metastases. [PDF]

PLoS One
Juarez Casillas JE, Nezafat M, Benitez CM, Rzechowski K, Kane N, Sjöstrand K, Anand A, Sonni I, Berenji GR, Duriseti S, Rettig MB, Nickols NG.   +11 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Robust and Lightweight Federated Learning for NB-IoT Security: A Blockchain-Verified CNN-RNN Approach. [PDF]

Sensors (Basel)
Özmen G, Yiltas-Kaplan D.
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

LRF-CNN: An explainable lightweight receptive field-based CNN for colorectal cancer histopathological image classification. [PDF]

iScience
Yuan L, Li C, Zhang J, Sun H, Rahaman M, Grzegorzek M, Li X.   +6 more
europepmc   +1 more source

The CNN Effect The Myth of News, Foreign Policy and Intervention

The CNN Effect examines the relationship between the state and its media, and considers the role played by the news reporting in a series of 'humanitarian' interventions in Iraq, Somalia, Bosnia, Kosovo and Rwanda.
Robinson, Piers.
core