Results 91 to 100 of about 264,274 (268)
DL-GPRd: Deep Learning for Ground Penetrating Radar Deconvolution
Journal of Physics: Conference SeriesAbstract Ground-penetrating radar (GPR) is a vital tool for subsurface investigation, but traditional deconvolution methods have limitations. This study explores the integration of Deep Learning (DL) techniques to enhance GPR data processing.
G. Roncoroni, E. Forte, M. Pipan
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Advanced Science, EarlyView.This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Deep Learning Techniques for Weed Detection in Agricultural Environments: A Comprehensive Review
IEEE AccessAgriculture has been completely transformed by Deep Learning (DL) techniques, which allow for quick object localization and detection. However, because weeds and crops are similar in color, form, and texture, weed detection and categorization can be ...
Deepthi G Pai +2 more
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Deep Learning and Security Workshop (DLS 2020) [PDF]
2020 IEEE Security and Privacy Workshops (SPW), 2020 Nikolaos Vasiloglou +2 more
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Advanced Science, EarlyView.A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong +9 more
wiley +1 more source
Deep learning predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI
Biomolecules & BiomedicineThe preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typically determined by pathological examination of a core needle biopsy, which influences the efficacy of neoadjuvant chemotherapy (NAC).
Yuhong Fan +7 more
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Advanced Science, EarlyView.This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed +10 more
wiley +1 more source
Redefining the Health Risk of Battery Materials Through a Biologically Transformed Metal Mixture
Advanced Science, EarlyView.Inhaled NCM particles undergo lysosomal degradation, releasing complex ion mixtures that induce systemic impact. The impact is determined by a critical balance between antagonistic Ni‐Co interactions and synergistic Mn effects. To capture these complexities in risk assessment, we develop an IAI model, ensuring a more accurate quantitative risk ...
Ze Zhang +11 more
wiley +1 more source
Advanced Science, EarlyView.This review examines the evolution of bioprinting toward minimally invasive in situ strategies for internal organ regeneration. It defines the technological roadmap from handheld systems to advanced minimally invasive bioprinting platforms, positioning soft robotics as a core enabler.
Duc Tu Vu +9 more
wiley +1 more source