Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Whatsapp Political actors subtly reframe economic data to persuade publics, prioritising narrative control over reality, ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 42, No. 4 (1993), pp. 585-601 (17 pages) In this paper two-dimensional systematic sampling of land use is considered. Data ...

The Motley Fool 100 ETF (TMFC) is outperforming in 2025. Learn expert tips on holding and timing buys for tech-focused growth.

Abstract: A community-imbalanced graph refers to a graph containing multiple communities with large differences in node and edge scales. Graph sampling is a widely used graph reduction technique to ...

Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.

Graphano Energy Ltd. ( (TSE:GEL)) has provided an announcement. Graphano Energy Ltd. has launched an airborne geophysical survey at its Black Pearl Project in Québec, employing advanced MAG and TDEM ...

Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

Abstract: Finding important edges in a graph is a crucial problem for various research fields, such as network epidemics, signal processing, machine learning, and sensor networks. In this paper, we ...

Negative sampling(NS) is a core component in training collaborative filtering models with implicit feedback, as it directly determines the quality and direction of the optimization signal. Recent ...