When Lithium Prices Rise, China’s Public and Private Explorers Move in Opposite Directions
A decade of disaggregated data reveals that China's public and enterprise funding for lithium exploration responds to lithium prices in ...
Tag: time-series analysis
Neural networks fail to outshine simple models in Brazilian estuary discharge reconstruction
A study of Brazil's Serinhaém River basin found that neural networks offered no consistent advantage over classical time-series models for ...
Even Clean Air Cities Carry a Hidden Stroke Risk, Six-Year Study Warns
A six-year time-series study in Guiyang, a low-pollution karst city in Southwest China, finds that short-term exposure to six major ...
Oxford team revives simple math to outsmart deep learning in market forecasting
A new Oxford study introduces OFTER, an online forecasting pipeline that combines ARIMA models, PCA-based dimensionality reduction, k-nearest neighbors and ...
Hepatitis B and C in Hainan: reported incidence trends diverge from national estimates and forecasts reveal persistent hepatitis C gap
A 16-year time-series analysis of Hainan Province finds reported hepatitis B incidence rose overall while hepatitis C surged before 2015 ...
When Metrics Backfire: How China’s Performance Incentives Left a Shadow of Research Misconduct
A new time-series analysis links China's performance-based research evaluation reforms to significant shifts in misconduct-related retraction rates across three decades ...
AI Learns to Spot Failing EV Batteries Before They Catch Fire
Researchers have developed an unsupervised deep learning model called GSA-VAE that detects faults in electric vehicle batteries by fusing causal ...
Long-Memory Models Beat Neural Networks in Forecasting Somalia’s Pastoral Red Meat Decline
A 64-year analysis of Somalia's pastoral red meat output shows that a long-memory ARFIMA model outperforms neural networks and classical ...
Self-Attention AI Learns to Predict CNC Tool Failure Before It Happens
A compact deep learning model that mathematically separates normal machining signals from anomalous disturbances has set new benchmarks for predicting ...
Wavelets That Never Peek at the Future: A New Math Framework for Real-Time Signals
A new mathematical framework defines wavelet transforms that respect strict temporal causality, enabling real-time multi-scale signal analysis with provably self-similar, ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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