Results 101 to 110 of about 2,664,283 (267)

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Causal-Pathway-Guided DNN–GBDT Distillation for Interpretable Artificial Intelligence in Intensive Care Units

Informatics
Artificial intelligence (AI) systems for intensive care units (ICUs) must support early risk prediction while producing explanations that clinicians can inspect, question, and relate to physiological reasoning.
Hashim Ali
doaj   +1 more source

Impact of Rapid Thermal Annealing on the Structural and Piezoelectric Properties of AlN Thin Films

Advanced Electronic Materials, EarlyView.
Aluminum nitride (AlN) is a biocompatible piezoelectric material suitable for energy harvesting in MEMS resonators. Through rapid thermal annealing, a threshold for CMOS‐compatible processes is established. AlN improved its crystallinity and enhanced the piezoelectric coefficient by ∼160%. Devices show an improvement in the electromechanical properties
Laura Mazón‐Maldonado, Lucía Nieto Sierra, M. Pilar Villar Castro, Fernando Lloret‐Vieira, Isidoro Ruíz‐García, Des Gibson, Hadi Heidari, Carlos García Núñez   +7 more
wiley   +1 more source

Rapid discovery of Transglutaminase 2 inhibitors for celiac disease with boosting ensemble machine learning

Computational and Structural Biotechnology Journal
Celiac disease poses a significant health challenge for individuals consuming gluten-containing foods. While the availability of gluten-free products has increased, there is still a need for therapeutic treatments.
Ibrahim Wichka, Pin-Kuang Lai
doaj   +1 more source

Do More Open Economies Export Less Diversely in Brazilian Agribusiness?

Agribusiness, EarlyView.
ABSTRACT This paper asks whether municipalities with a larger export‐to‐revenue ratio display a more concentrated bundle of exported goods in Brazilian agribusiness. Recent advances in export imputation for Brazilian municipalities allow for an analysis of the concentration profile of each municipality and its association with export openness.
Alan Leal, Michelle Marcia Viana Martins
wiley   +1 more source

Graph Homomorphism Revisited for Graph Matching [PDF]

, 2010
In a variety of emerging applications one needs to decide whether a graph G matches another Gp, i.e., whether G has a topological structure similar to that of Gp. The traditional notions of graph homomorphism and isomorphism often fall short of capturing
Li, Jianzhong, Ma, Shuai, Fan, Wenfei; id_orcid, Wu, Yinghui, Wang, Hongzhi   +4 more
core  

UAM Vertiport Network Design Considering Connectivity

Systems
Urban Air Mobility (UAM) is envisioned to revolutionize urban transportation by improving traffic efficiency and mitigating surface-level congestion. One of the fundamental challenges in implementing UAM systems lies in the optimal siting of vertiports ...
Wentao Zhang, Taesung Hwang
doaj   +1 more source

A computational study of Ising‐based solvers for discrete landscape exploration in process optimization

AIChE Journal, EarlyView.
ABSTRACT Conceptual process design combines discrete configuration choices with continuous operating decisions, often yielding difficult mixed‐integer nonlinear or simulation‐based optimization problems. This work presents an exploratory computational assessment of Ising‐based solvers, simulated annealing, quantum annealing, and entropy computing, as ...
Yirang Park, David E. Bernal Neira
wiley   +1 more source

A Review of Artificial Intelligence for Financial Fraud Detection

Applied Sciences
Financial fraud has expanded rapidly with the growth of the digital economy, evolving from conventional transactional misconduct to more complex and data-intensive forms. Traditional rule-based detection methods are increasingly inadequate for addressing
Haiquan Yang, Zarina Shukur, Shahnorbanun Sahran   +2 more
doaj   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source