Causal Machine Learning (CML) unites ML techniques with CI in order to take advantage of both approaches’ strengths. CML ...

Machine learning models estimated the probability of developing sepsis in children admitted to the emergency department.

The new model, developed at the Murmansk University, purposefully minimizes the risk of forecast underestimating, while maintaining a moderate overestimation ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

Abstract: Accurate retrieval of tree structural attributes is essential for effective forest management and resource assessment. Airborne laser scanning (ALS) provides detailed three-dimensional data ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

Background: As large language model (LLM)–based chatbots such as ChatGPT (OpenAI) grow in popularity, it is essential to understand their role in delivering online health information compared to other ...

Alternative splicing exhibits lineage-specific variability, with mammals and birds reaching the highest levels despite conserved intron-rich architectures, while unicellular eukaryotes and prokaryotes ...

IIT Guwahati has released the Data Science & Artificial Intelligence subject this year. Download the GATE Data Science & ...

Sepsis is one of the most life-threatening medical emergencies worldwide, claiming millions of lives each year. It occurs ...

Dan Shipper in Chain of Thought I’m writing a book about the worldview I’ve developed by writing, coding, and living with AI. Last week I published the first piece from it, about the differences ...

Flavor, a multimodal perception based on taste, smell, and tactile cues, plays a significant role in consumer preferences and purchase intentions toward coffee. In this exploratory study, we assessed ...