Results 141 to 150 of about 54,400 (268)

Image generator for tabular data based on non-Euclidean metrics for CNN-based classification. [PDF]

PLoS One
Lin YR, Wu HM.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Early Tuberculosis Detection via Privacy-Preserving, Adaptive-Weighted Deep Models. [PDF]

Diagnostics (Basel)
Gasmi K, Alanazi A, Ben Aoun N, Altaieb MO, Abdalrahman AEM, Hamid O, Almenwer S, Ben Ammar L, Yahyaoui S, Mrabet M.   +9 more
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Unassailable citrus disease classification via multi-stage deep ensemble learning with vision transformers. [PDF]

Sci Rep
Sireesha NV, Rekha G, Almenweer RA.
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

A hybrid CNN-ViT framework with cross-attention fusion and data augmentation for robust brain tumor classification. [PDF]

Sci Rep
Jayaraman G, Meganathan S, Shah SSM, Anuradha M, Sundararajan RK, Rajakumar R.   +5 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Deep Learning-Based Breast Tumor Classification Using Shear-Wave Sonoelastography Image Features and Clinical Variables. [PDF]

Adv Biomed Res
Shiran MB, Abdollahi-Dehkordi S, Zare-Sadeghi A, Ghasemi-Firoozabadi A, Nafissi N, Vafaei-Shahi A, Abolghasemi J.   +6 more
europepmc   +1 more source