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Databases · Computer Science 2021-04-13 V. M. Ngo , N. A. Le-Khac , M. T. Kechadi

The ANTARES neutrino telescope is being constructed in the Mediterranean Sea. It consists of a large three-dimensional array of photo-multiplier tubes. The data acquisition system of the detector takes care of the digitisation of the…

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Exoplanet atmospheric modeling is advancing from chemically diverse one-dimensional (1D) models to three-dimensional (3D) global circulation models (GCMs), which are crucial for interpreting observations from facilities like the James Webb…

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Groundwater is the largest storage of freshwater resources, which serves as the major inventory for most of the human consumption through agriculture, industrial, and domestic water supply. In the fields of hydrological, some researchers…

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European Spallation Source (ESS) will deliver neutrons at high flux for use in diverse neutron scattering techniques. The neutron source facility and the scientific instruments will be located in Lund, and the Data Management and Software…

Weather and soil conditions are particularly important when it comes to farming activities. Study of these factors and their role in nutrient and nitrate absorption rates can lead to useful insights with benefits for both the crop yield and…

High-precision navigation and positioning systems are critical for applications in autonomous vehicles and mobile mapping, where robust and continuous localization is essential. To test and enhance the performance of algorithms, some…

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Recent works in dataset distillation seek to minimize training expenses by generating a condensed synthetic dataset that encapsulates the information present in a larger real dataset. These approaches ultimately aim to attain test accuracy…

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Sustained high levels of blood glucose in type 2 diabetes (T2DM) can have disastrous long-term health consequences. An essential component of clinical interventions for T2DM is monitoring dietary intake to keep plasma glucose levels within…

Quantitative Methods · Quantitative Biology 2022-06-24 Zepeng Huo , Bobak J. Mortazavi , Theodora Chaspari , Nicolaas Deutz , Laura Ruebush , Ricardo Gutierrez-Osuna

The KM3NeT research infrastructure comprises two neutrino telescopes located in the deep waters of the Mediterranean Sea, namely ORCA and ARCA. KM3NeT/ORCA is designed for the measurement of neutrino properties and KM3NeT/ARCA for the…

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Dataset distillation aims to minimize the time and memory needed for training deep networks on large datasets, by creating a small set of synthetic images that has a similar generalization performance to that of the full dataset. However,…

Computer Vision and Pattern Recognition · Computer Science 2023-10-12 Xuxi Chen , Yu Yang , Zhangyang Wang , Baharan Mirzasoleiman

In this paper, we propose a new dataset distillation method that considers balancing global structure and local details when distilling the information from a large dataset into a generative model. Dataset distillation has been proposed to…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Longzhen Li , Guang Li , Ren Togo , Keisuke Maeda , Takahiro Ogawa , Miki Haseyama

The Alternate Wetting and Drying (AWD) method is a rice-growing water management technique promoted as a sustainable alternative to Continuous Flooding (CF). Climate change has placed the agricultural sector in a challenging position,…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Ahmed Rafi Hasan , Niloy Kumar Kundu , Saad Hasan , Mohammad Rashedul Hoque , Swakkhar Shatabda

The rapid decline in groundwater around the world poses a significant challenge to sustainable agriculture. To address this issue, agricultural managed aquifer recharge (Ag-MAR) is proposed to recharge the aquifer by artificially flooding…

Machine Learning · Computer Science 2024-07-02 Yuning Chen , Kang Yang , Zhiyu An , Brady Holder , Luke Paloutzian , Khaled Bali , Wan Du

The improper disposal and mismanagement of medical waste pose severe environmental and public health risks, contributing to greenhouse gas emissions and the spread of infectious diseases. Efficient and accurate medical waste classification…

Computer Vision and Pattern Recognition · Computer Science 2025-03-14 Bennet van den Broek , Javad Pourmostafa Roshan Sharami

Small, amorphous waste objects such as biological droppings and microtrash can be difficult to see, especially in cluttered scenes, yet they matter for environmental cleanliness, public health, and autonomous cleanup. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Jon Crall

Marine animals and deep underwater objects are difficult to recognize and monitor for safety of aquatic life. There is an increasing challenge when the water is saline with granular particles and impurities. In such natural adversarial…

Computer Vision and Pattern Recognition · Computer Science 2024-01-24 Sanyam Jain

Dataset Distillation (DD) is designed to generate condensed representations of extensive image datasets, enhancing training efficiency. Despite recent advances, there remains considerable potential for improvement, particularly in…

Computer Vision and Pattern Recognition · Computer Science 2024-12-11 Bowen Yuan , Zijian Wang , Mahsa Baktashmotlagh , Yadan Luo , Zi Huang

One possible way of making thermal processing controllable is to gather real-time information on the product's current state. Often, sensory equipment cannot capture all relevant information easily or at all. Digital Twins close this gap…

Computational Engineering, Finance, and Science · Computer Science 2022-09-08 Maximilian Kannapinn , Minh Khang Pham , Michael Schäfer