AIMC Topic: Deep Learning
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A lightweight deep learning model for multi-plant biotic stress classification and detection for sustainable agriculture.
Scientific reports
Apr 9, 2025
Plant pathogens and pests hinder general plant health, resulting in poor agricultural yields and production. These threaten global food security and cause environmental and economic shortages. Amidst the available existing heavy deep learning (DL) mo...
Natural language processing models reveal neural dynamics of human conversation.
Nature communications
Apr 9, 2025
Through conversation, humans engage in a complex process of alternating speech production and comprehension to communicate. The neural mechanisms that underlie these complementary processes through which information is precisely conveyed by language,...
Portal dose image prediction using Monte Carlo generated transmission energy fluence maps of dynamic radiotherapy treatment plans: a deep learning approach.
Biomedical physics & engineering express
Apr 9, 2025
This work aims to develop and investigate the feasibility of a hybrid model combining Monte Carlo (MC) simulations and deep learning (DL) to predict electronic portal imaging device (EPID) images based on MC-generated exit phase space energy fluence ...
Application and research progress of artificial intelligence in allergic diseases.
International journal of medical sciences
Apr 9, 2025
Artificial intelligence (AI), as a new technology that can assist or even replace some human functions, can collect and analyse large amounts of textual, visual and auditory data through techniques such as Reinforcement Learning, Machine Learning, De...
Construction and validation of a deep learning-based diagnostic model for segmentation and classification of diabetic foot.
Frontiers in endocrinology
Apr 9, 2025
OBJECTIVE: This study aims to conduct an in-depth analysis of diabetic foot ulcer (DFU) images using deep learning models, achieving automated segmentation and classification of the wounds, with the goal of exploring the application of artificial int...
Optimizing CNN for pavement distress detection via edge-enhanced multi-scale feature fusion.
PloS one
Apr 9, 2025
Traditional crack detection methods initially relied on manual observation, followed by instrument-assisted techniques. Today, road surface inspection leverages deep learning to achieve automated crack detection. However, in the domain of deep learni...
Global burden and future trends of head and neck cancer: a deep learning-based analysis (1980-2030).
PloS one
Apr 9, 2025
BACKGROUND: Head and neck cancer (HNC) becomes a vital global health burden. Accurate assessment of the disease burden plays an essential role in setting health priorities and guiding decision-making.
Deep learning-based improved side-channel attacks using data denoising and feature fusion.
PloS one
Apr 9, 2025
Deep learning, as a high-performance data analysis method, has demonstrated superior efficiency and accuracy in side-channel attacks compared to traditional methods. However, many existing models enhance accuracy by stacking network layers, leading t...
Utilizing a deep learning model based on BERT for identifying enhancers and their strength.
PloS one
Apr 9, 2025
An enhancer is a specific DNA sequence typically located within a gene at upstream or downstream position and serves as a pivotal element in the regulation of eukaryotic gene transcription. Therefore, the recognition of enhancers is highly significan...
Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management.
Annals of medicine
Apr 8, 2025
Atopic dermatitis (AD) is a common and complex skin disease that significantly affects the quality of life of patients. The latest advances in artificial intelligence (AI) technology have introduced new methods for diagnosing, treating, and managing ...
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