Abstract: The rapid expansion of Internet of Things (IoT) devices in healthcare has increased data volumes, creating challenges for the efficiency and latency of real-time monitoring systems.

V-shaped engines can't use just any angle because some angles would make their forces unbalanced and generate undesired ...

School of Computer Science, Rocket Force University of Engineering, Xi'an, Shaanxi, China Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced ...

Reconfigurable battery packs dynamically adjust internal connections, voltage, current distribution, and power output. Unlike conventional fixed packs, they isolate faulty cells, balance power loads, ...

Understanding the static, dynamic, and racking load capacities of wooden pallets is essential for safe, efficient material handling. While typical 48″x40″ stringer pallets support approximately 4,000 ...

Abstract: The MQTT Version 5.0 specification, developed in 2019, introduces shared subscriptions to distribute messages among multiple subscribers, improving the scalability and availability of ...

The environments and landscapes of an open-world game can be tremendously important to the experience, especially if the title focuses its efforts on exploration. While some open worlds are entirely ...

Arista adds cluster load balancing to its flagship operating system and AI job management capabilities to its CloudVision network observability platform. Arista Networks has added load balancing and ...

Mixture-of-experts (MoE) models have emerged as a crucial innovation in machine learning, particularly in scaling large language models (LLMs). These models are designed to manage the growing ...