Results 211 to 220 of about 683,409 (316)

Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN) [PDF]

Jiaming Deng, Zhenglin Chen, Minjiang Chen, Lulu Xu, Jiaqi Yang, Zhendong Luo, Peiwu Qin   +6 more
openalex   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source

The Detection of Sea Buckthorn Juice SSC Based on a Portable Near-Infrared Spectrometer Combined with an MoE-CNN Prediction Model. [PDF]

Foods
Niu H, Zhang Y, Hu S, Zhang H, Liu Y.
europepmc   +1 more source

Examining CNN terrain model for TanDEM-X DEMs using ICESat-2 data in Southeastern United States

Eric Guenther, Lori A. Magruder, Amy Neuenschwander, Donald Maze-England, J. Dietrich   +4 more
openalex   +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

Forecasting Daily Ambient PM_2.5 Concentrations in Qingdao City Using Deep Learning and Hybrid Interpretable Models and Analysis of Driving Factors Using SHAP. [PDF]

Toxics
He Z, Guo Q, Zhang Z, Feng G, Qiao S, Wang Z.   +5 more
europepmc   +1 more source

Adaptive learning algorithms for CNN models incorporating meteorological data for precise environmental predictions [PDF]

Mohammad Ali Ghorbani, Christiana Olusegun, Adeyemi Olusola, Erfan Abdi   +3 more
openalex   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

An AM-CNN-BiGRU network with spatiotemporal feature fusion for industrial robot predictive maintenance. [PDF]

Sci Rep
Zang Z, Zhang Y, Ruan S, Wang L, Zhang X, Song L, Huang Y, Ye S.   +7 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source