Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang +6 more
wiley +1 more source
A Systematic Study of Popular Software Packages and AI/ML Models for Calibrating In Situ Air Quality Data: An Example with Purple Air Sensors. [PDF]
Smith S +16 more
europepmc +1 more source
Herein, a systematic digital twin workflow tailored for generating high‐fidelity virtual representations of anisotropic composite microstructures and giga‐voxel meso‐structural models is presented, leveraging a harmonious integration of top–down image‐based modeling and bottom–up data‐driven voxel generation.
Siwon Yu +7 more
wiley +1 more source
Deep-learning based morphological segmentation of canine diffuse large B-cell lymphoma. [PDF]
Ancheta K +4 more
europepmc +1 more source
Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth
This study presents a surrogate‐based Multi‐Objective Optimization framework for Floating Zone silicon crystal growth. An ensemble of Neural Networks is trained on simulation data and combined with Genetic Algorithms to explore trade‐offs in process parameters.
Lucas Vieira +3 more
wiley +1 more source
Machine Learning-Based Position Detection Using Hall-Effect Sensor Arrays on Resource-Constrained Microcontroller. [PDF]
Németh Z +5 more
europepmc +1 more source
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo +6 more
wiley +1 more source
A novel parametric scaled exponential linear unit activation function for deep residual networks in short-term load forecasting. [PDF]
Liu J +4 more
europepmc +1 more source
Proposed model achieves 99.14% accuracy with near‐perfect precision, recall, and F1 across all classes; Grad‐CAM visualizations confirm focus on biologically relevant symptom‐associated regions. ABSTRACT For identifying foliar diseases in crops at an early stage, accurate detection is necessary in maintaining food security, minimizing economic losses ...
MD Jiabul Hoque, Md. Saiful Islam
wiley +1 more source
Transformer-based and CNN-based models for clinically effective 2D and 3D pelvic bone segmentation in CT imaging. [PDF]
Nesheli SJ +9 more
europepmc +1 more source

