Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

Abstract: In federated learning, non-independently and non-identically distributed heterogeneous data on the clients can limit both the convergence speed and model utility of federated learning, and ...

Bptree is a lightweight single-header B+ tree implementation written in C. It can be thought of as an in-memory ordered map where keys are stored based on the ordering defined by some comparator ...

Pune: Activists and experts had last year slammed Pune Municipal Corporation's (PMC) latest Environment Status Report (ESR) ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

Abstract: Heterogenous Wireless Sensor Networks (HWSNs) are cost-effective solutions to monitor the environment. These networks face limited battery as a critical challenge. Traditionally, ...

< The tractor-mounted sensor box is equipped with precise sensors and camera systems. During normal jo ... Copyright: © Project SAMSON ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by laser-scanning technologies. Doing the same with forest data has proven far more ...

Can a system designed in Brussels and enforced from space truly understand the subtle, seasonal rhythms of rural life? Or ...