In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...
A new topology-based method predicts atomic charges in metal-organic frameworks from bond connectivity alone, making large-scale computational screening practical.
Some say we’ve entered a new age of AI-enabled scientific discovery. But human insight and creativity still can’t be ...
Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...
QINGPU, SHANGHAI, CHINA, February 12, 2026 /EINPresswire.com/ -- Direct-to-Film (DTF) printing has rapidly become a ...
Space weather can disrupt satellite navigation and communication systems by triggering rapid fluctuations in the ionosphere.
To demonstrate the potential of this new approach, the team fabricated a series of mixed-material microdevices, including valves capable of separating nanoparticles of different sizes, and ...
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CNN-based system improves lung nodule detection and classification
Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
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