Most RAG systems don’t understand sophisticated documents — they shred them

Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size chunking" (cutting a document every 500 characters). This works for prose, but it destroys the logic of technical ...
IEEE

Improving generalization of drowsiness classification from facial skin temperature distribution using data preprocessing in CNN

Abstract: The demand for remote biometric technologies to monitor drowsiness levels is expected to increase in the future of autonomous driving. Facial skin is constantly exposed to the outside world ...
IEEE

Research on Transformer-Based Data Preprocessing and Multi-Label Classification for Power Communication Dispatch Data

Abstract: Power communication dispatch systems generate a large amount of textual data during daily operations. However, the quality of this data is often affected by issues such as missing values, ...
Frontiers

CNNAttLSTM: an attention-enhanced CNN–LSTM architecture for high-precision jackfruit leaf disease classification

Introduction: Jackfruit cultivation is highly affected by leaf diseases that reduce yield, fruit quality, and farmer income. Early diagnosis remains challenging due to the limitations of manual ...