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Deep learning (DL) has become a key component of modern software. Training DL models leads to huge carbon emissions. In data centers, it is important to reduce carbon emissions while completing DL training jobs early. In this article, we propose GreenFlow,...

Large foundation models, including large language models, vision transformers, diffusion, and large language model based multimodal models, are revolutionizing the entire machine learning lifecycle, from training to deployment. However, the substantial ...

With the vigorous development of Internet technology, the scale of systems in the network has increased sharply, which provides a great opportunity for potential attacks, especially the Distributed Denial of Service (DDoS) attack. In this case, ...

• We propose a denoising algorithm based on IDTT, which solve the inefficiency of traditional TT decomposition through low-rank estimation and distributed computing.
• We propose a framework for DDoS attack detection by combining three ...

Sparse sampling can reduce the radiation dose and accelerate the scanning speed of cone-beam computed tomography (CBCT) by increasing the angular interval between projections. However, this approach can compromise the completeness of the ...

Limited-stop service represents a paradigm for enhancing efficiency in transportation systems, with applications spanning public transit, logistics, and supply chain management. This service model operates along a designated route featuring a reduced ...

Unmanned aerial vehicles (UAVs) have found extensive applications across diverse domains owing to their cost-effectiveness, uncomplicated structure, and adaptable takeoff and landing functionalities. Multi-UAV network systems can be coordinated to improve ...

In the realm of industrial edge computing, a novel server architecture known as SoC-Cluster, characterized by its aggregation of numerous mobile systems-on-chips (SoCs), has emerged as a promising solution owing to its enhanced energy efficiency and ...

Multi-label activity recognition is extremely challenging, where multiple activities may appear simultaneously or sequentially in a video. While previous works have realized the temporal co-occurrence of activities, the sequential order of ...

• A novel SiSe method is proposed for capturing the simultaneous and sequential activity correlations.
• Capturing sequential correlations in an order-preserved manner.
• Capturing the simultaneous activity correlations.
• Efficiency ...

Deployable rib-mesh reflector antennas, known for their ultralight nature and high deployment-to-stowage ratio, have been attracting attention from both the aerospace industry and academia. Form finding is a critical step in determining the ...

• FEM techniques for form finding of tensile cable-membrane structures are detailed.
• Elastic deformation of supporting frames is included in the form finding procedure.
• Benchmark cases are solved to validate the accuracy of the ...

“Ink Dance” is an experimental video project exploring multimodal generation in dance montages. It aims to integrate dance, painting, and music using image style transfer and music generation, producing an aesthetic and innovative montage video where ...

Time-of-flight (ToF) devices have greatly propelled the advancement of various multi-modal perception applications. However, achieving accurate rendering of time-resolved information remains a challenge, particularly in scenes involving complex ...

Traditional direction-of-arrival (DOA) estimation methods often encounter challenges such as low accuracy and high computational complexity, particularly in complex signal environments with multiple sources. To address these issues, this paper proposes a ...

The context window of large language models (LLMs) is rapidly increasing, leading to a huge variance in resource usage between different requests as well as between different phases of the same request. Restricted by static parallelism strategies, ...

The rapid development of renewable energy and controllable loads such as consumer electronics requires more user side resources to participate in demand response. Blockchain-empowered demand response can effectively reduce the trust cost among various ...

According to the imaging principle of the camera, the focusing and defocusing parts of the image are often determined by the depth information in the real scene. Only objects within a certain depth can present a clear appearance in the captured ...

In the realm of image aesthetic quality assessment, additional tagging information, such as scene classification, photographic style, and aesthetic attributes, embodies a wealth of aesthetic connotations. The textual descriptions and visual features ...

For aesthetic attribute evaluation of images (AAEI), the annotation of image aesthetic attribute scores plays an important role. It requires experienced artists and professional photographers, which hinders the collection of large-scale fully-annotated ...

In this paper, we replicate the experimental results from our previous work titled "Aesthetics-Driven Virtual Time-Lapse Photography Generation", which was presented at ACM Multimedia 2023. Our primary objective is to confirm the validity of our earlier ...

This paper introduces a novel method for enhancing image composition guidance in photography. It utilizes advanced composition rules to guide a Real-Time Detection Transformer (RT-DETR) model in predicting aesthetically pleasing compositions for ...

Navigation route recommendation is one of the important functions of intelligent transportation. However, users frequently deviate from recommended routes for various reasons, with personalization being a key problem in the field of research. This paper ...