Results 121 to 130 of about 102,675 (264)
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
Identification of Crown of Thorns Starfish (COTS) using Convolutional Neural Network (CNN) and attention model. [PDF]
Heenaye-Mamode Khan M +3 more
europepmc +1 more source
A flexible pressure sensor with triple‐gradient design of conductivity, modulus, and dimension in binary micro‐dome pixels is proposed. Based on precisely‐designed CNT/PDMS matrix, the device exhibits a linear sensitivity of 974.1 kPa−1 across range up to 1.8 MPa (R2 > 0.99), offering an effective strategy for potential applications in healthcare ...
Yifan Liu +9 more
wiley +1 more source
Comparative approach to different convolutional neural network (CNN) architectures applied to human behavior detection. [PDF]
Shirabayashi JV, Braga ASM, da Silva J.
europepmc +1 more source
A Unified Flash Memory Platform for Mode‐Adaptive and Robust AI Computation
A unified AND‐type flash memory platform enables both transistor‐mode and capacitor‐mode computing‐in‐memory operations within the same device structure. By selectively switching the sensing mode through peripheral reconfiguration, the platform provides adaptable trade‐offs between computational accuracy, robustness, and energy efficiency for AI ...
Dayeon Yu +6 more
wiley +1 more source
ABSTRACT Atrial fibrillation (AF) increases the risk of stroke and heart failure, yet accurate quantification of AF burden in daily life remains difficult. Although smartwatch photoplethysmography (PPG) supports continuous monitoring, complex rhythms and signal noise can impair burden estimation.
Song Zuo +27 more
wiley +1 more source
Research on Detection of Bird Nests in Overhead Catenary Based on Deep Convolutional Neural Network
Nesting on railway catenaries by birds has been an important cause of catenary failure. At present, the inspection for judging the existence of bird’s nests is carried out artificially, which has much shortcomings in heavy working intensity, high missing-
Deqiang HE +4 more
doaj
Maximizing Nanoscale Disorder in Block Copolymers for Orientation‐Independent SERS Platform toward Non‐Invasive Diagnostics is a nature‐inspired strategy that engineers controlled randomness within block copolymer lamellae to achieve optical isotropy without compromising nanoscale periodicity.
Jin Man Kim +6 more
wiley +1 more source
Polarization Engineering in Vinylene‐Linked COFs Toward Efficient Neuromorphic Computing
A vinyl‐linked covalent organic framework (COF‐DIBPY) was synthesized on a conductive substrate for memristor applications. Redox reactions and bromide migration enable low‐voltage (0.5V) conductance switching with high analog on/off ratio (15.7). The device was further integrated into a speech emotion recognition system for acoustic simulation and ...
Hao Wang +5 more
wiley +1 more source
Co-Yudh: A Convolutional Neural Network (CNN)-Inspired Platform for COVID Handling and Awareness. [PDF]
Singh R +4 more
europepmc +1 more source

