CNN Machine Learning Archietcture

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 ...

IEEE

Introduction to Quantum Machine Learning and Quantum Architecture Search

Abstract: Recent advancements in quantum computing (QC) and machine learning (ML) have fueled significant research efforts aimed at integrating these two transformative technologies. Quantum machine ...

IEEE

Neuro-Mimetic Developmental Architecture for Continual Learning Through Self-Organizing Multimodal Perception Coordination

Abstract: Developing cognitive capabilities in autonomous agents stands as a challenging yet pivotal task. In order to construct cohesive representations and extract meaningful insights from the ...

IEEE

Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...

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

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

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

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

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

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

Introduction to Quantum Machine Learning and Quantum Architecture Search

Neuro-Mimetic Developmental Architecture for Continual Learning Through Self-Organizing Multimodal Perception Coordination

Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

How AI is transforming the future of work and which jobs are most at risk

Will Netflix's Warner Bros. Power Play Make Theaters Obsolete?

A Deep Learning-Based Ultra-Lightweight Architecture for Atrial Fibrillation Detection Using Single-Lead ECG Recordings