Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
A novel self excited hybrid brushless wound rotor synchronous machine with consequent poles. [PDF]
Ul Haq MA +4 more
europepmc +1 more source
Human Machine Interface for Step-up DC-DC Converter
openaire +1 more source
Multi‐Axis Stretchable Zippers for Personalized Wound Healing
Multi‐axis stretchable zippers can adapt to complex wound morphologies and enable personalized wound treatment through programmable contraction. This morphological matching strategy helps accelerate wound closure, improve blood perfusion, promote epithelial regeneration, and enhance collagen remodeling, pioneering new directions for personalized and ...
Siyuan Cai +16 more
wiley +1 more source
Artificial Neural Network-Based PID Parameter Estimation Using Black Kite Algorithm Hyperparameter Optimization for DC Motor Speed Control. [PDF]
Arıkuşu YS.
europepmc +1 more source
An Energy Autonomous Microneedle Array‐Based Sensing System for Continuous Biomarker Monitoring
This work presents an innovative self‐powered wearable biosensor system for real‐time monitoring of multiple biomarkers in interstitial fluid. The device integrates stainless steel‐based minimally invasive microneedles with ion‐selective membranes, enabling simultaneous Na+, K+, Ca2+, pH, and glucose detection.
Arnab Pal +9 more
wiley +1 more source
Mechatronics Design of a Clinostat Agriculture Space System for Biomimetic Phyto-Growth in Microgravity (Phyto-G) and 3D-Motion Computer Simulation on Hydroponic Environment. [PDF]
Barreto R +4 more
europepmc +1 more source
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Industrial wastewater identification based on HPLC combined with data standardization and ensemble learning algorithms. [PDF]
Li S, Qin H, Wu X, Suo Z.
europepmc +1 more source
Inspired by biological ion transport, this work introduces self‐powered multifunctional sensors utilizing tailored hydrogel stacks. Optimizing ionic migration with MXenes and carbon nanotubes achieves high‐performance energy harvesting and unique logic circuit functionality.
Haoran Chen +9 more
wiley +1 more source

