Results 21 to 30 of about 232,285 (268)
CherryChèvre: A fine-grained dataset for goat detection in natural environments
Scientific Data, 2023 We introduce a new dataset for goat detection that contains 6160 annotated images captured under varying environmental conditions. The dataset is intended for developing machine learning algorithms for goat detection, with applications in precision ...
Jehan-Antoine Vayssade +3 more
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Reference-Based Sequence Classification
IEEE Access, 2020 Sequence classification is an important data mining task in many real-world applications. Over the past few decades, many sequence classification methods have been proposed from different aspects.
Zengyou He +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Land surface temperature (LST) is one of important parameter in the earth energy and water budget. Recently, open-source modules or packages are emerging as all-in-one solutions to speed up the rapid development and critical application of LST from ...
Jinshun Zhu +6 more
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Combinatorial Optimization Problems and Metaheuristics: Review, Challenges, Design, and Development
Applied Sciences, 2021 In the past few decades, metaheuristics have demonstrated their suitability in addressing complex problems over different domains. This success drives the scientific community towards the definition of new and better-performing heuristics and results in ...
Fernando Peres, Mauro Castelli
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Nature-Inspired Algorithms in Real-World Optimization Problems
Mendel, 2017 Eight popular nature inspired algorithms are compared with the blind random search and three advanced adaptive variants of differential evolution (DE) on real-world problems benchmark collected for CEC 2011 algorithms competition.
Petr Bujok, Josef Tvrdik, Radka Polakova
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Developing Train Station Parking Algorithms: New Frameworks Based on Fuzzy Reinforcement Learning
Journal of Advanced Transportation, 2019 Train station parking (TSP) accuracy is important to enhance the efficiency of train operation and the safety of passengers for urban rail transit. However, TSP is always subject to a series of uncertain factors such as extreme weather and uncertain ...
Wei Li +3 more
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New Developments in Quantum Algorithms [PDF]
, 2010 In this survey, we describe two recent developments in quantum algorithms. The first new development is a quantum algorithm for evaluating a Boolean formula consisting of AND and OR gates of size N in time O(\sqrt{N}). This provides quantum speedups for any problem that can be expressed via Boolean formulas.
openaire +2 more sources
Systematic review and exploration of new avenues for sorting algorithm
International Journal of Information Management Data Insights, 2021 Sorting plays a crucial role in almost all algorithms that support data science applications. A quadratic sorting algorithm is one in which the time taken for the algorithm to sort a dataset grows as the square of the size of the dataset. This paper aims
Anand Zutshi, Dipanjan Goswami
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Development of an algorithm to plan and simulate a new interventional procedure [PDF]
Interactive CardioVascular and Thoracic Surgery, 2015 The number of implanted biological valves for treatment of valvular heart disease is growing and a percentage of these patients will eventually undergo a transcatheter valve-in-valve (ViV) procedure. Some of these patients will represent challenging cases.
Buntaro, Fujita +10 more
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MORTAR: a rich client application for in silico molecule fragmentation
Journal of Cheminformatics, 2023 Developing and implementing computational algorithms for the extraction of specific substructures from molecular graphs (in silico molecule fragmentation) is an iterative process.
Felix Bänsch +6 more
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