This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...
Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced financial consultant. She has a demonstrated history of working in both institutional and retail environments, from broker-dealers to ...
The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...
The direct-to-consumer division reported over $1.3 billion in operating profit for FY’25, significantly exceeding ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...
ESPN, ABC, National Geographic and more than a dozen other Disney-owned channels have been reinstated on YouTube TV after the ...
Traditional and Roth IRAs let you save for retirement with tax advantages. IRA contribution limits increase with age, allowing more savings as retirement nears. IRAs offer flexible investment options ...
Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
United Hardware and Do it Best approved a previously announced merger. The goal of the merger of hardware, lumber and building materials buying cooperative Do it Best (Fort Wayne, IN) and wholesale ...
Research on the Application of Graph Neural Network in Topology Optimization of Distribution Network
Abstract: Graph Neural Networks (GNN) is a type of neural network specifically designed for processing graph structured data, which is very suitable for topology optimization in power systems. GNN can ...
This project is a Deep Learning-based Streamlit web application that detects plant diseases from leaf images using a Convolutional Neural Network (CNN). It provides real-time predictions with ...
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