Extreme ambient temperatures cause electric vehicles’ batteries to deteriorate and have a
major impact on driving range, which is a barrier for mass production of electric vehicles. …

Recent deep learning models are difficult to train using a large batch size, because commodity
machines may not have enough memory to accommodate both the model and a large …

Recent DNN model serving systems have begun to use multi-GPUs and distributed systems
to serve a variety of inference models as services to users. However, modern GPU-based …

Most grassroots cadres work out of sight of management, posing challenges for direct
management (ie, commands and incentives). Cadre training can be an effective tool for shaping …

Multimodal Fake News Detection has received increasing attention recently. Existing methods
rely on independently encoded unimodal data and overlook the advantages of capturing …

Crowd navigation has received significant research attention in recent years, especially DRL-based
methods. While single-robot crowd scenarios have dominated research, they offer …

In recent years, advanced diffusion models have shown good performance in converting
text prompts into high-quality images. However, aligning the generated images to human …

Recently, time series data analysis has become an important area of research to understand
real-world phenomena in various domains such as manufacturing, finance, business, …

Engineering cost‐effective catalysts with exceptional performance for the electrochemical
oxygen evolution reaction (OER) remains crucial for the accelerated development of …

Deep learning has recently become one of the most compute/data-intensive methods and is
widely used in many research areas and businesses. One of the critical challenges of deep …