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High-quality annotated datasets from diverse scenarios play a crucial role in the development of deep learning algorithms. However, due to the strict access limitations of space-based infrared satellite platforms, space-based infrared small target datasets are scarce. Therefore, we have developed the MIRSat-QL dataset, based on a space-based infrared satellite platform, for space-based dynamic scene infrared target detection. Our data is synthesized from space-based infrared satellite images and ground-based infrared cameras capturing airborne targets. The specifics are as follows。
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118 ViewsHigh-quality annotated datasets from diverse scenarios play a crucial role in the development of deep learning algorithms. However, due to the strict access limitations of space-based infrared satellite platforms, space-based infrared small target datasets are scarce. Therefore, we have developed the MIRSat-QL dataset, based on a space-based infrared satellite platform, for space-based dynamic scene infrared target detection. Our data is synthesized from space-based infrared satellite images and ground-based infrared cameras capturing airborne targets. The specifics are as follows。
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58 Views
During the course of this experimental study, we meticulously collected and recorded a comprehensive set of data. These data not only reflect the precise outcomes of the experimental procedures but also directly correspond to the contents presented in the tables within the research paper. These results are crucial for validating our research hypotheses, providing a solid quantitative foundation for our understanding and analysis of the experimental phenomena.
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23 Views
The example involves 16 evaluation criteria, with quantitative criteria including on time delivery (C1), delivery speed (C2), accurate delivery (C3), damaged cargo proportion (C4), after-sale service (C5), clearance efficiency (C6), geographical coverage (C7), bonded warehouse support (C8), delivery price (C12), and transport cost (C13), and qualitative criteria including flexibility in delivery and operations (C9), information system (C10), information sharing (C11), reputation (C14), financial performance (C15), and R&D ability (C16).
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80 Views
Benchmark code, HPC runtime logs, and analysis for the "AcceleratedKernels.jl: Cross-Architecture Parallel Algorithms from a Unified, Transpiled Codebase" Paper.
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31 Views
A dataset used in the paper "A Causal Perspective of Stock Prediction Models". The dataset is constructed using the training infromation between 2011 and 2024 via signals provided by GUOTAI JUNAN SECURITIES. Alpha191 is a widely used collection of 191 mathematical formulas, known as "alpha factors," used for quantitative stock analysis. Developed by researchers and practitioners, these factors are designed to capture various statistical properties, behavioral patterns, and market trends from financial data.
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265 Views
The ICRA conference is celebrating its 40th anniversary in Rotterdam in September 2024, with as highlight the Happy Birthday ICRA Party at the iconic Holland America Line Cruise Terminal. One month later the IROS conference will take place, which will include the Earth Rover Challenge. In this challenge open-world autonomous navigation models are studied truly open-world settings.
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182 Views
We are pleased to introduce the Qilin Watermelon Dataset, a unique collection of data aimed at investigating the relationship between a watermelon's appearance, tapping sound, and sweetness. This dataset is the result of our dedicated efforts to capture and record various aspects of Qilin watermelons, a special variety known for its exceptional taste and quality.
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2353 Views
The noisy nanopore channel is introduced as a model of the nanopore sequencer in DNA storage that includes inter-symbol interference, sample duplications, and measurement noise. Information rates of the noisy nanopore channel with Markov sources are computed numerically based on a Monte Carlo technique that builds upon existing techniques for finite-state channels. However, the analogous technique for channels with duplications poses a challenging problem from an algorithmic perspective.
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57 Views
A well-functioning medical supply chain is essential for effective patient care and medical supply while preventing stockouts and delays, ensuring cost efficiency. To address these challenges, this paper presents a novel hybrid simulation-optimization methodology for optimizing pharmaceutical warehouse allocation, focusing on high-priority medicine flow and supply readiness.
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256 Views