Results 221 to 230 of about 1,650,509 (320)
Development of ArgTag for Scalable Solid-Phase Synthesis of Aggregating Peptides. [PDF]
Freiburghaus V +4 more
europepmc +1 more source
A fully integrated analog processing‐in‐memory system is demonstrated, combining charge‐trap flash synapse arrays with a successive integration‐and‐rescaling neuron circuit. The architecture performs bit‐sliced analog accumulation with high linearity and low power, achieving efficient and scalable analog in‐memory computing and bridging device‐level ...
Sojoong Kim +4 more
wiley +1 more source
Contact Electrification via Redox-Active Molecules. [PDF]
Ranjan N +14 more
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Roy adaptation model-based nursing combined with transitional care for enhancing mental health and quality of life after cancer surgery: results from a randomized controlled study. [PDF]
Yuan L, Fu Y.
europepmc +1 more source
Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley +1 more source
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee +4 more
wiley +1 more source
GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li +9 more
wiley +1 more source
Clinical considerations in patients of Heart failure with improved ejection fraction
Ashwani Mehta +7 more
doaj +1 more source
ABSTRACT The objective of the current research is to characterize the thermal performance in micropolar fluid flows on a vertically elongated porous sheet in the presence of buoyancy forces. Thus, the motivation of this study is to improve the understanding of buoyancy‐driven micropolar fluid flows through porous media, which are relevant to advanced ...
T. Venu, MD. Shamshuddin, S. O. Salawu
wiley +1 more source

