Easily Automate PDF Data Extraction with n8n and Unstruct

Process invoices and receipts automatically with n8n plus Unstruct, pulling totals, dates, and names into structured data for reporting.
IEEE

Automated Data Extraction from Unstructured Text Using Machine Learning Algorithms

Abstract: Exponential growth of unstructured data in the form of text documents, emails, and web content presents a noticeable challenge to automated data extraction. This kind of data has much more ...
IEEE

Guitar Chord Recognition Using Sobel Feature Extraction and YOLOv8 Segmentation with CNN Classification

Abstract: Music is created by blending musical sounds from various musical instruments. One of the famous musical instruments is the guitar. Learning to play the guitar is time-consuming and requires ...
IEEE

AI-Powered Intelligent Crop Health Monitoring System using CNN-based Image Classification

Abstract: Plant and leaf diseases have a significant impact on agricultural production, leading to a decrease in crop yield and quality. Effective crop management demands early and precise detection ...
IEEE

Feature Selection for Battery Lifetime Prediction using Explainable Machine Learning

Abstract: Accurate battery lifetime estimation is crucial for health management and system safety. Data-driven research yields extensive feature sets, yet optimal feature selection is often impeded by ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification BEIJING, Feb.06, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...
IEEE

DAS-Based Perimeter Intrusion Detection Using 2D-CNN With SKAttention Mechanism

Abstract: Distributed fiber optic sensing technology has been extensively applied in the field of perimeter security. The distributed acoustic sensing (DAS) system driven by a deep learning ...
IEEE

A Novel Alzheimer’s Disease Classification Framework Integrating 3D CNN With Bidirectional Feature Pyramid Network and Vision Transformers

Abstract: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that severely affects memory and cognitive function, underscoring the need for accurate and early diagnostic tools. Deep ...
IEEE

Design of Automatic Extraction of Three-Dimensional Cross-Section Feature Slices of Turbine Blades

Abstract: The turbine blade is one of the most critical components of a spacecraft. To enhance the efficiency of batch inspection of turbine blades, this paper proposes a fully automatic slice feature ...
IEEE

Optimizing 2D CNN Architectures for Tabular IoT Intrusion Data: A Comparative Study Using the BoT-IoT 2020 Dataset

Abstract: The increasing number of Internet-enabled devices has demonstrated the need to have accurate intrusion detection systems (IDSs). To address this, we adapt the structure of two-dimensional ...
IEEE

Polarimetric SAR Classification Using Muti-Polarimetric Features Based on Two Branch CNN

Abstract: Although existing networks utilizing either real or complex numbers have demonstrated satisfactory classification performance in the realm of polarimetric SAR classification, single-type ...
IEEE

Self-Supervised Monocular Depth Estimation Using Hybrid CNN-VMamba Architecture

Abstract: Self-supervised monocular depth estimation (MDE) typically employs convolutional neural networks (CNNs) or Transformers to predict scene depth. However, CNNs struggle with long-range ...