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Crayfish optimization algorithm
This paper proposes a meta heuristic optimization algorithm, called Crayfish Optimization Algorithm (COA), which simulates crayfish’s summer resort...
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Modified crayfish optimization algorithm for solving multiple engineering application problems
Crayfish Optimization Algorithm (COA) is innovative and easy to implement, but the crayfish search efficiency decreases in the later stage of the...
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Hybrid remora crayfish optimization for engineering and wireless sensor network coverage optimization
This paper proposes a novel hybrid metaheuristic algorithm called the remora crayfish optimization algorithm (HRCOA) designed for solving continuous...
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Catch fish optimization algorithm: a new human behavior algorithm for solving clustering problems
This paper is inspired by traditional rural fishing methods and proposes a new metaheuristic optimization algorithm based on human behavior: Catch...
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A novel optimization method: wave search algorithm
This paper proposes a novel optimization method inspired by radar technology: wave search algorithm (WSA). The WSA algorithm not only draws on radar...
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Secretary bird optimization algorithm: a new metaheuristic for solving global optimization problems
This study introduces a novel population-based metaheuristic algorithm called secretary bird optimization algorithm (SBOA), inspired by the survival...
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A multi-strategy-guided sparrow search algorithm to solve numerical optimization and predict the remaining useful life of li-ion batteries
In this paper, a novel optimization method is proposed based on the sparrow search algorithm, namely, multi-strategy-guided sparrow search algorithm...
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DEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies
The Fennec Fox algorithm (FFA) is a new meta-heuristic algorithm that is primarily inspired by the Fennec fox's ability to dig and escape from wild...
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Red-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems
Numerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and engineering design problems are fundamental to the development of artificial...
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ADE: advanced differential evolution
This paper proposes a metaheuristic algorithm, called advanced differential evolution (ADE), by improving the DE algorithm. The ADE algorithm was...
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Foodnet: multi-scale and label dependency learning-based multi-task network for food and ingredient recognition
Image-based food pattern classification poses challenges of non-fixed spatial distribution and ingredient occlusion for mainstream computer vision...
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Saliency-aware inter-image color transfer for image manipulation
This paper proposes a novel saliency-aware inter-image color transfer method to perform image manipulation. Specifically, given the source image, the...
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Sparse coding for image classification base on spatial pyramid representation
Many efforts have been devoted to apply sparse coding for image classification with the aim of minimizing the reconstruction error and classification...
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Accumulative image categorization: a personal photo classification method for progressive collection
With the explosive growth of personal photos, an effective classification tool is becoming an urgent need to organize our progressive image...
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An effective fusion model for image retrieval
In the past decade, the popular Bag of Visual Words approach has been applied to many computer vision tasks, including image classification, video...
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Sparse Embedding: A Framework for Sparsity Promoting Dimensionality Reduction
We introduce a novel framework, called sparse embedding (SE), for simultaneous dimensionality reduction and dictionary learning. We formulate an...
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Query Concept Learning
With multimedia databases it is difficult to specify queries directly and explicitly. Relevance feedback interactively learns a user’s desired output...
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Brain and Classical Neural Networks
Brain and Classical Neural Networks gives a modern review of classical neurodynamics, including brain physiology,...
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Conjunctive Query Containment under Access Limitations
Access limitations may occur when querying data sources over the web or heterogeneous data sources presented as relational tables: this happens, for...
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Incremental Learning and Optimization of Hierarchical Clusterings with Art-Based Modular Networks
This chapter introduces HART-S, a modular neural network that can incrementally learn stable hierarchical clusterings of arbitrary sequences of input...