Communications of the ACM

Collective Intelligence Doesn’t Scale, In-Context Collaborative Learning Does

This is where Collective Adaptive Intelligence (CAI) comes in. CAI is a form of collective intelligence in which the ...
IEEE

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...
IEEE

Enhanced Fiber Bragg Grating Interrogation Using Deep Learning and Fabry-Pérot Liquid Crystal: A CGAN-CNN for Improved Wavelength Detection

Abstract: In this article, we propose a novel method that integrates deep learning with Fabry-Pérot liquid crystal (FP-LC) technology for fiber Bragg grating (FBG) interrogation. The use of FP-LC ...
IEEE

Hybrid CNN and Transformer-Based Sequential Learning Techniques for Plant Disease Classification

Abstract: Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to ...
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

Joint estimation of DOA and polarization parameters based on CNN-Transformer hybrid architecture

Abstract: Compared with traditional scalar arrays, polarization-sensitive arrays can simultaneously obtain spatial domain information and polarization information.So it has stronger anti-interference ...