Encoding adaptive intelligence in molecular matter by design

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
IEEE

Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization

Abstract: Adaptive moment estimation (Adam), as a Stochastic Gradient Descent (SGD) variant, has gained widespread popularity in federated learning (FL) due to its fast convergence. However, federated ...
Scientific Research Publishing

Enhanced Liver Tumor Detection in CT Images Using 3D U-Net and Bat Algorithm for Hyperparameter Optimization ()

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...
Hosted on MSN

Exponential Moving Averages In Deep Learning — What You’re Missing

Exponentially Weighted Moving Average or Exponential Weighted Average is a very important concept to understand Optimization in Deep Learning. It means that as we move forward, we simultaneously ...
IEEE

A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids

Abstract: This paper addresses the critical challenge of enhancing resiliency in smart power grids against cyber-physical disturbances, including cyber-attacks, system faults, and dynamic load ...
Searchenginejournal.com

How To Win In Generative Engine Optimization (GEO)

This post was sponsored by Peec AI. The opinions expressed in this article are the sponsor’s own. The first step of any good GEO campaign is creating something that LLM-driven answer machines actually ...
Frontiers

Dynamic gating-enhanced deep learning model with multi-source remote sensing synergy for optimizing wheat yield estimation

Introduction: Accurate wheat yield estimation is crucial for efficient crop management. This study introduces the Spatio–Temporal Fusion Mixture of Experts (STF-MoE) model, an innovative deep learning ...
Frontiers

Enhancing action recognition in educational settings through exercise-induced neuroplasticity

Introduction: In educational settings, the role of neuroplasticity in shaping cognitive development has gained increasing attention. Traditional pedagogical models often fail to capture the dynamic ...