Advancing medical imaging diagnostics using deep learning for accurate spinal disorder classification. [PDF]
J Educ Health PromotChandran R, Rengeswaran B, Ramasamy L.
europepmc +1 more source
This research explores the integration of Artificial Intelligence (AI) in wearable devices, including smartwatches, fitness trackers, smart clothing, and smart eyewear.
Minh Long Hoang
core
Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network
Advanced Intelligent Discovery, EarlyView.A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia +3 more
wiley +1 more source
Efficient Processing of Compact and Heterogeneous Deep Neural Networks [Elektronisk resurs]
The unprecedented success of Deep Learning (DL) algorithms, or Deep Neural Networks (DNNs), is driving the trend toward deploying them in a variety of environments including ones with tight resources and time constraints. This has led to the emergence of
Mohammad Qararyah, Fareed,
core
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Hybrid Deep Learning-Machine Learning Fusion of Clinical, Radiomic and Deep Learning Features for Preoperative Differentiation of Solitary Pulmonary Mucinous Adenocarcinoma. [PDF]
Diagnostics (Basel)Sun C, Sun J, Wei F, Yang S, Ba W, Li Y.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Matrix‐assisted laser desorption/ionization imaging‐based identification of reliable small molecule markers across heterogeneous glioblastoma cohorts is challenging with intensity‐only methods. We present spatially informed feature selection (SIFS), a spatially informed framework that prioritizes molecules consistently colocalizing with histopathology.
Shad A. Mohammed +15 more
wiley +1 more source
High-Performance Deep Learning Systems via DL Sparsity and DL Compiler
Deep learning (DL) has achieved impressive results in many tasks across recognition, decision, and content generation, generating significant economic growth and social benefits. The widespread adoption of DL requires efficient systems that can support large-scale training and reduce the cost of inference.
openaire +1 more source
Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance
Advanced Intelligent Discovery, EarlyView.Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen +4 more
wiley +1 more source
Deep learning radiomics clinical model of PET/CT for predicting lymphovasvular invasion and prognosis in patients with non-small cell lung cancer. [PDF]
Medicine (Baltimore)Yu J +6 more
europepmc +1 more source