Unveiling the Potential: Can Machine Learning Cluster Colorimetric Images of Cold Atmospheric Plasma Treatment?
Study connects machine learning and colorimetric assays for antimicrobial treatments. Researchers utilize DBSCAN and t-SNE for analyzing cold atmospheric plasma.…
A Multi‐Focus Image Fusion Network Deployed in Smart City Target Detection
The AI-based gradient learning network improves smart city object detection. Combines multi-receptive and global enhancement modules for better image clarity.…
Impact Assessment of Electric Vehicles and Renewable Energy on Distribution Network Parameters
The study assesses the impact of EVs and RESs on voltage unbalance. Researchers utilized two optimization methods: modified JAYA and…
Highly‐Aligned All‐Fiber Actuator with Asymmetric Photothermal‐Humidity Response and Autonomous Perceptivity
An asymmetric highly aligned all‐fiber membrane exhibits hierarchical micro‐nano structure. Shows dual-directional thermal-induced moisture-responsive actuation with fast response rates. Enables…
A Flexible Skin Bionic Thermally Comfortable Wearable for Machine Learning-Facilitated Ultrasensitive Sensing
Innovative flexible electronic skin mimics human tactile microstructure. Offers high sensitivity, extended sensing range, and robust cycling stability. Ensures thermal…
Innovative Soft Quasi-Organism with Sensor-Driven Tentacles Unveiled
A novel intelligent Soft Quasi-Organism integrates real-time state and object recognition. The system uses Heterogeneous Mechanisms Homotopic Integration for seamless…
A Triple-LC-Based DC/DC Converter with Wide Input Voltage Gain in Both Under-Resonance and Over-Resonance Frequency Regions
The proposed converter simplifies design by avoiding additional components. Maintains output voltage in under-resonance and over-resonance conditions. A 500W platform…
Optimal Path-Constrained Trajectory Planning for Excavator Robotics: A Time-Energy Efficiency Study
An optimal trajectory planning method for excavators was proposed. The study integrates time and energy consumption as primary objectives. Experimental…
AI Techniques Revolutionize Pesticide Penetration Analysis Using SERS Imaging
AI techniques enhance SERS imaging for pesticide penetration analysis. Study reveals new insights into pesticide dynamics and interactions. Findings could…
A Multi-Agent Deep Reinforcement Learning Approach for Traffic Signal Coordination
Deep reinforcement learning optimizes adaptive traffic signal control effectively. Local agents learn independently, and a global agent integrates their policies.…
