An enhanced diabetic retinopathy detection approach using optimized deep learning technique. [PDF]
Darwish SM, Milad KG, Ibrahim REE.
europepmc +1 more source
Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee +3 more
wiley +1 more source
Robust crowd anomaly detection via hybrid ensemble learning for real-world surveillance. [PDF]
Mabrouk D, Abdel-Fattah MA, Taha A.
europepmc +1 more source
Advances in Halide Perovskites for Photon Radiation Detectors
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang +3 more
wiley +1 more source
Pruning tree forest and re-sampling for class imbalanced problem. [PDF]
Faiz N +5 more
europepmc +1 more source
Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley +1 more source
Beyond Diabetes Classification: Interpreting Vectorcardiographic Repolarization Geometry as a Cardiometabolic Electrical Phenotype [Letter]. [PDF]
Zhu X, Lu Y.
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Manual annotation based sentiment analysis of user feedback in health and wellness app reviews. [PDF]
Varghese L +4 more
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source

