Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

MMHuman3D — dataset preprocessing utilities, evaluation protocols, and loaders that informed our data pipeline. ZOLLY & PDHuman — PDHuman dataset and related preprocessing guidance and ZOLLY as ...

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: The object of the study is working with data obtained from sensors of Android-based mobile devices. The subject of the study is methods of preprocessing data from sensors of Android-based ...

The project was evaluated in a peer-reviewed academic setting, with emphasis on scientific rigor, reproducibility, and methodological clarity. Carbon dioxide plays a fundamental role in Earth’s carbon ...

Abstract: Digital Pre-Distortion (DPD) is a cost-effective way to the linearization of a power amplifier (PA). The polynomial-based model is commonly used to characterize DPD. However, the number of ...