Deep Image Prior for medical image denoising, a study about parameter initialization
Frontiers in Applied Mathematics and Statistics, 2022 Convolutional Neural Networks are widely known and used architectures in image processing contexts, in particular for medical images. These Deep Learning techniques, known for their ability to extract high-level features, almost always require a labeled ...
Davide Sapienza +6 more
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Atmosphere, 2023 This study investigates the influence of meteorology initialization on surface ozone prediction in the Great Lakes region using Canada’s operational air quality model (GEM-MACH) at a 2.5 km horizontal resolution.
Rabab Mashayekhi +4 more
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Initialization and Local Search Methods Applied to the Set Covering Problem: A Systematic Mapping
Revista Facultad de Ingeniería, 2023 The set covering problem (SCP) is a classical combinatorial optimization problem part of Karp's 21 NP-complete problems. Many real-world applications can be modeled as set covering problems (SCPs), such as locating emergency services, military planning,
Nelson-Enrique Quemá-Taimbud +2 more
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On the role of antecedent meteorological conditions on flash drought initialization in Europe
Environmental Research Letters, 2023 The fast depletion of soil moisture in the top soil layers characterizes flash drought events. Due to their rapid onset and intensification, flash droughts severely impact ecosystem productivity.
Jignesh Shah +7 more
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IDSNN: Towards High-Performance and Low-Latency SNN Training via Initialization and Distillation
Biomimetics, 2023 Spiking neural networks (SNNs) are widely recognized for their biomimetic and efficient computing features. They utilize spikes to encode and transmit information.
Xiongfei Fan, Hong Zhang, Yu Zhang
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A Gyroless Algorithm with Multi-Hypothesis Initialization for Projectile Navigation
Sensors, 2021 Projectiles are subjected to a high acceleration shock at launch (20,000 g and higher) and can spin very fast. Thus, the components of onboard navigation units must therefore withstand such constraints in addition to being inexpensive.
Nabil Jardak +2 more
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Optimized Centroid-Based Clustering of Dense Nearly-square Point Clouds by the Hexagonal Pattern
Electrical, Control and Communication Engineering, 2023 An approach to optimize centroid-based clustering of flat objects is suggested, which is practically important for efficiently solving metric facility location problems.
Romanuke Vadim +2 more
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A Novel Initialization Technique for Decadal Climate Predictions
Frontiers in Climate, 2021 Model initialization is a matter of transferring the observed information available at the start of a forecast to the model. An optimal initialization is generally recognized to be able to improve climate predictions up to a few years ahead.
Danila Volpi +10 more
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Impact of Soil Moisture in the Monsoon Region of South America during Transition Season
Atmosphere, 2023 The land surface is an important component of numerical weather and climate forecast models due to their effect on energy–water balances and fluxes, and it is essential for forecasts on a seasonal scale.
Vivian Bauce Machado Arsego +5 more
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Improved Initialization Method for Metaheuristic Algorithms: A Novel Search Space View
IEEE Access, 2021 As an essential step of metaheuristic optimizers, initialization seriously affects the convergence speed and solution accuracy. The main motivation of the state-of-the-art initialization method is to generate a small initial population to cover the ...
Qian Li, Yiguang Bai, Weifeng Gao
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