Results 131 to 140 of about 9,883,756 (332)
Deep Learning and Security Workshop (DLS 2020) [PDF]
2020 IEEE Security and Privacy Workshops (SPW), 2020 Nikolaos Vasiloglou +2 more
openaire +1 more source
Advanced Science, EarlyView.A novel targeted and pH‐responsive MRI contrast agent was integrated with a 3D nnU‐Net deep learning framework to enable accurate delineation of tumor boundary morphology in HER2‐positive breast cancer imaging. ABSTRACT Breast cancer continues to be a leading cause of cancer‐related mortality in women globally, where precise diagnosis and clear tumor ...
Jiaying Zheng +7 more
wiley +1 more source
<p>Artifact of PIM-DL: Expanding the Applicability of Commodity DRAM-PIMs for Deep Learning via Algorithm-System Co-Optimization (To appear at ASPLOS 2024)</p ...
Li, Cong
core +1 more source
Deep Learning Methods Cannot Outperform Other Machine Learning Methods on Analyzing Genome-wide Association Studies [PDF]
, 2022 Deep Learning (DL) has been broadly applied to solve big data problems in biomedical fields, which is most successful in image processing. Recently, many DL methods have been applied to analyze genomic studies. However, genomic data usually has too small
Zhou, Shaoze
core
Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation. [PDF]
Radiat Oncol, 2023 Geng J +9 more
europepmc +1 more source
Advanced Science, EarlyView.An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li +15 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
doaj +1 more source
Ultrahigh Interfacial Thermal Conductance across GaN/BAs Interfaces via Atomic‐Level Engineering
Advanced Science, EarlyView.The integration of gallium nitride (GaN) with ultrahigh‐thermal‐conductivity boron arsenide (BAs) substrates represents a promising pathway for developing next‐generation high‐power devices. The heat dissipation capability of such integrated systems is fundamentally governed by thermal transport across GaN/BAs interfaces, and buffer layers such as ...
Linfeng Yu +10 more
wiley +1 more source
Effect of retraining DL models with artifacts as data augmentation.
, 2022 DL, deep learning. (DOCX)
Yassin Refahi (12418368) +5 more
core +1 more source
Deep learning and its applications to machine health monitoring
Mechanical systems and signal processing, 2019 Since 2006, deep learning (DL) has become a rapidly growing research direction, redefining state-of-the-art performances in a wide range of areas such as object recognition, image segmentation, speech recognition and machine translation.
Rui Zhao +5 more
semanticscholar +1 more source