Learning how a physical system behaves usually means repeating measurements and using statistics to uncover patterns. That ...

While sensing technologies have advanced rapidly, the study identifies data fragmentation as one of the most persistent ...

Alumni Engagement (Beta = 0.482) has a stronger relative influence on Administrative Effectiveness compared to Faculty Development (Beta = 0.397). This suggests that increasing alumni engagement is ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

While Twilio has suffered a relevancy loss following COVID, the smart money could be quietly bidding up TWLO stock.

This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Al-Barari Organization for Nature Conservation has warned of growing risks posed by bird strikes at Mitiga Airport, noting ...

This research underscores the beneficial impact of the Medicaid Institution for Mental Diseases (IMD) exclusion waivers on psychiatric-specific and all-cause health care resource utilization and costs ...

Every sports fan knows the feeling. You call a game perfectly— maybe you saw the Lakers’ defensive holes before anyone else, or you knew the Bills would struggle against man coverage. But instead of ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...