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Topic Review
Requirements of Compression in Key-Value Stores
A key–value store is a de facto standard database for unstructured big data. Key–value stores, such as Google’s LevelDB and Meta’s RocksDB, have emerged as a popular solution for managing unstructured data due to their ability to handle diverse data types with a simple key–value abstraction. Simultaneously, a multitude of data management tools have actively adopted compression techniques, such as Snappy and Zstd, to effectively reduce data volume.
  • 342
  • 27 Oct 2023
Topic Review
Platform Supply Chain Coordination Considering Fresh-Keeping Service
With changes in demand and the emergence of new distribution channels, consumer-centric buyer’s markets for many products have been formed. The platform supply chain has been continuously optimized and upgraded. Supply chain leaders have moved downstream to the end of the supply chain. The operational value has been further enhanced. The corresponding systematic construction of the platform supply chain has become an important driving force for future development. 
  • 160
  • 09 Oct 2023
Topic Review
Shape-Informed Dimensional Reduction in Airfoil/Hydrofoil Modeling Approachs
Parametric models have been widely used in pertinent literature for reconstructing, modifying and representing a wide range of airfoil and/or hydrofoil profile geometries. Design spaces corresponding to these models can be exploited for modeling and profile-shape optimization under various performance criteria. Accuracy requirements, along with the need for modeling local features, often lead to high-dimensional design spaces that hinder the process of shape optimization and design through analysis.
  • 138
  • 28 Sep 2023
Topic Review
Digital Imaging and Communications in Medicine
Medical imaging plays a crucial role in modern healthcare, providing essential information for accurate diagnosis and treatment planning. The Digital Imaging and Communications in Medicine (DICOM) standard has revolutionized the storage, transmission, and sharing of medical images and related data. This research presents an implementation of DICOM communication and the development of a practical demonstration for simulation purposes. The simulation can be used for conducting cybersecurity tests in the context of DICOM communication.
  • 152
  • 25 Sep 2023
Topic Review
Embedded Eye Image Defocus Estimation for Iris Biometrics
One of the main challenges faced by iris recognition systems is to be able to work with people in motion, where the sensor is at an increasing distance (more than 1 m) from the person. The ultimate goal is to make the system less and less intrusive and require less cooperation from the person. When this scenario is implemented using a single static sensor, it will be necessary for the sensor to have a wide field of view and for the system to process a large number of frames per second (fps). In such a scenario, many of the captured eye images will not have adequate quality (contrast or resolution). 
  • 103
  • 11 Sep 2023
Topic Review
Fluid-Structure Interaction Methods in Biomechanics
Fluid-structure interaction algorithms are utilized to examine how the human circulatory system functions by simulating blood flow and capturing mechanical responses within blood vessels. These sophisticated algorithms take into account interactions between fluid dynamics, vessel walls, heart walls, and valves. By combining advanced medical imaging techniques with fluid-structure interaction models, it becomes possible to customize these models for individual patients. 
  • 308
  • 14 Aug 2023
Topic Review
3D Estimation Using an Omni-Camera and a Spherical-Mirror
There is a novel approach for estimating the 3D information of an observed scene utilizing a monocular image based on a catadioptric imaging system employing an omnidirectional camera and a spherical mirror. Researchers aim to develop a method that is independent of learning and makes it possible to capture a wide range of 3D information using a compact device.
  • 310
  • 08 Aug 2023
Topic Review
Multiple Traveling Salesperson Problems
Multiple traveling salesperson problems (mTSP) are a collection of problems that generalize the classical traveling salesperson problem (TSP). In a nutshell, an mTSP variant seeks a minimum-cost collection of m paths that visit all vertices of a given weighted complete graph. Conceptually, mTSP lies between TSP and vehicle routing problems (VRP).
  • 989
  • 20 Jul 2023
Topic Review
Chatbot-Based Natural Language Interfaces for Data Visualisation
Reality (AR) or Virtual Reality (VR), particularly for advanced visualisations, expanding guidance strategies beyond current limitations, adopting intelligent visual mapping techniques, and incorporating more sophisticated interaction methods. 
  • 437
  • 28 Jun 2023
Topic Review
Machine Learning for Hydropower Generation
Hydropower is the most prevalent source of renewable energy production worldwide. As the global demand for robust and ecologically sustainable energy production increases, developing and enhancing the current energy production processes is essential. In the past decade, machine learning has contributed significantly to various fields, and hydropower is no exception. All three horizons of hydropower models could benefit from machine learning: short-term, medium-term, and long-term. Dynamic programming is used in the majority of hydropower scheduling models.
  • 421
  • 27 Jun 2023
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