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Delta compression can complement data deduplication by further minimizing redundancy through the compression of non-duplicate data chunks. When adding delta compression to deduplication-based backup systems, however, two primary challenges arise that ...

This paper introduces a novel prediction method for spatio-temporal non-stationary channels between unmanned aerial vehicles (UAVs) and ground control vehicles, essential for the fast and accurate acquisition of channel state information (CSI) to ...

Immunohistochemical (IHC) detection is crucial for diagnosing esophageal cancer. Proliferating Cell Nuclear Antigen (PCNA) is a key biomarker in IHC analysis, aiding in tumor characterization and prognosis. However, manual scoring methods are ...

• PH-ScoreNet for the first time automates PCNA IHC scoring in esophageal cancer.
• Dual-branch network integrates nucleus detection with fine-grained classification.
• Dual attention mechanism enhances feature emphasis for improved ...

The number of edge embedded devices has been increasing with the development of Internet of Things (IoT) technology. In urban fire detection, improving the accuracy of fire detection based on embedded devices requires substantial computational ...

• The proposed method improves smoke and flame detection accuracy for non-uniform shapes and different scales.
• Two innovative modules are proposed to mitigate the problem of poor feature extraction for flame and smoke targets.
• ...

Sparse Matrix-Vector Multiplication (SpMV) on GPUs has gained significant attention because of SpMV's importance in modern applications and the increasing computing power of GPUs in the last decade. Previous studies have emphasized the importance ...

The imbalance between normal and fault data in the condition monitoring of rotating machinery often leads to models needing more focus on the information from the majority class. To this end, this work proposed a rolling bearing fault diagnosis ...

Traditional target detection models struggle to maintain accuracy and improve inference speed for small target detection on computationally limited embedded devices. To solve this problem, this paper proposes an improved YOLOv5 model: GM-YOLO. First, the ...

Emerging persistent memory (PM) promises near-DRAM performance, larger capacity, and data persistence, attracting researchers to design PM-based key-value stores. However, existing PM-based key-value stores lack awareness of the Non-Uniform Memory Access (...

Compute eXpress Link (CXL) based Solid-State Drives (CXL-SSDs), such as the Samsung CMM-H model, promise to offer CXL.mem memory and CXL.io block dual-mode interfaces. Nonetheless, whether and how cloud applications with diverse and varying access ...

Reducing the byte miss ratio (BMR) in the Content Delivery Network (CDN) caches can help providers save on the cost of paying for traffic. When evicting objects or files of different sizes in the caches of CDNs, it is no longer sufficient to pursue an ...

Intelligent reflecting surface (IRS) has recently been considered as a potential technology for realizing ultra‐reliable and low‐latency (URLLC) in wireless networks. This paper proposes a resource optimization scheme to maximize the sum‐rate ...

While Miss Ratio Curve (MRC) profiling methods based on spatial sampling are effective in modeling cache behaviors, previous MRC studies lack in-depth analysis of profiling errors and primarily target homogeneous object-size scenarios. This has caused ...

This paper aims at high and portable performance for tensor computations across spatial (e.g., FPGAs) and vector architectures (e.g., GPUs). The state-of-the-art usually address performance portability across vector architectures (CPUs and GPUs). However,...

Many applications need to execute Single-Source Shortest Paths (SSSP) algorithm on each snapshot of a time-evolving graph, leading to long waiting times experienced by the users of such applications. However, these applications are often time-...

• An efficient algorithm to compute SSSPs of the snapshots of time-evolving graph.
• A compact data structure of time-evolving graph to save the memory space and improve the snapshot access speed.
• An effective design to speed up the ...

The gold standard for esophageal cancer diagnosis and treatment is the Thinprep Cytologic Test (TCT) of suspected sections. TCT refers to analyze the features of the lesion areas using tissue regions stained with hematoxylin and eosin. However, ...

• A time series-based quantitative framework is designed for esophageal grading.
• A coarse–fine model is designed to detect target cells for quantitative analysis.
• A quantitative analysis model is presented for cell ploidy rectifying.

As a key component of rotating machinery, it is of great significance for the timely diagnosis of bearing weak faults. Stochastic resonance is widely used for its special signal enhancement pattern, and the combination of system parameters ...

Our extensive experiments reveal that existing key-value stores (KVSs) achieve high performance at the expense of a huge memory footprint that is often impractical or unacceptable. Even with the emerging ultra-fast byte-addressable persistent memory (PM),...

Following a conventional design principle that pays more fast-CPU-cycles for fewer slow-I/Os, popular software storage architecture Linux Multiple-Disk (MD) for parity-based RAID (e.g., RAID5 and RAID6) assigns one or more centralized worker threads to ...

In order to analyze and process the large graphs with high cost efficiency, researchers have developed a number of out-of-core graph processing systems in recent years based on just one commodity computer. On the other hand, with the rapidly ...

Backup systems often adopt deduplication techniques for data reduction. Real-world backup products often group files into larger units (called packed files) before deduplicating them. The grouping entails inserting metadata immediately before the contents ...