Search Results - "Weise, Thomas"

Energy-Efficient Load Balancing Ant Based Routing Algorithm for Wireless Sensor Networks by Li, Xinlu, Keegan, Brian, Mtenzi, Fredrick, Weise, Thomas, Tan, Ming

“…Wireless Sensor Networks (WSNs) are a type of self-organizing networks with limited energy supply and communication ability. One of the most crucial issues in…”
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Self-adaptive learning based particle swarm optimization by Wang, Yu, Li, Bin, Weise, Thomas, Wang, Jianyu, Yuan, Bo, Tian, Qiongjie

“…Particle swarm optimization (PSO) is a population-based stochastic search technique for solving optimization problems over continuous space, which has been…”
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Evolutionary Optimization： Pitfalls and Booby Traps by Weise, Thomas, Chiong, Raymond, Tang, Ke

“…Evolutionary computation （EC）, a collective name rithms, is one of the fastest-growing areas in computer science. for a range of metaheuristic black-box…”
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LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery by Chen, Yan, Jiang, Wenxiang, Wang, Mengyuan, Kang, Menglei, Weise, Thomas, Wang, Xiaofeng, Tan, Ming, Xu, Lixiang, Li, Xinlu, Zhang, Chen

“…Convolutional neural networks have attracted much attention for their use in the semantic segmentation of remote sensing imagery. The effectiveness of semantic…”
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Effectiveness evaluation of the coupled LIDs from the watershed scale based on remote sensing image processing and SWMM simulation by Chen, Yan, Tan, Ming, Wan, Jiahua, Weise, Thomas, Wu, Zhize

“…In this paper, based on remote sensing image processing and SWMM simulation, we evaluate the effectiveness of a coupled LIDs system for the watershed scale…”
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Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery by Wang, Xiaofeng, Kang, Menglei, Chen, Yan, Jiang, Wenxiang, Wang, Mengyuan, Weise, Thomas, Tan, Ming, Xu, Lixiang, Li, Xinlu, Zou, Le, Zhang, Chen

“…Adding an attention module to the deep convolution semantic segmentation network has significantly enhanced the network performance. However, the existing…”
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Convolutional Neural Network based Weakly Supervised Learning for Aircraft Detection from Remote Sensing Image by Wu, Zhize, Weise, Thomas, Wang, Yan, Wang, Yongjun

“…Object detection methods based on Convolutional Neural Networks (CNNs) require a large number of images with annotation information to train. In aircraft…”
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Image Retrieval Using a Deep Attention-Based Hash by Li, Xinlu, Xu, Mengfei, Xu, Jiabo, Weise, Thomas, Zou, Le, Sun, Fei, Wu, Zhize

“…Image retrieval is becoming more and more important due to the rapid increase of the number of images on the web. To improve the efficiency of computing the…”
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Estimation of distribution and differential evolution cooperation for large scale economic load dispatch optimization of power systems by Wang, Yu, Li, Bin, Weise, Thomas

“…Economic Load Dispatch (ELD) is an important and difficult optimization problem in power system planning. This article aims at addressing two practically…”
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An alternative way of presenting statistical test results when evaluating the performance of stochastic approaches by Weise, Thomas, Chiong, Raymond

“…Stochastic approaches such as evolutionary algorithms have been widely used in various science and engineering problems. When comparing the performance of a…”
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Frequency Fitness Assignment: Making Optimization Algorithms Invariant Under Bijective Transformations of the Objective Function Value by Weise, Thomas, Wu, Zhize, Li, Xinlu, Chen, Yan

“…Under frequency fitness assignment (FFA), the fitness corresponding to an objective value is its encounter frequency in fitness assignment steps and is subject…”
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Selecting a diverse set of benchmark instances from a tunable model problem for black-box discrete optimization algorithms by Weise, Thomas, Chen, Yan, Li, Xinlu, Wu, Zhize

“…As the number of practical applications of discrete black-box metaheuristics is growing faster and faster, the benchmarking of these algorithms is rapidly…”
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Semi-supervised multi-Layer convolution kernel learning in credit evaluation by Xu, Lixiang, Cui, Lixin, Weise, Thomas, Li, Xinlu, Wu, Zhize, Nie, Feiping, Chen, Enhong, Tang, Yuanyan

“…•We analyze the basic solution of a generalized differential operator.•We give a class of convolution kernel function.•We propose a semi-supervised multi-layer…”
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Community Services and Social Involvement in COVID-19 Governance: Evidence from China by Ding, Jianwen, Xu, Jia, Weise, Thomas, Wang, Huan

“…This study explores how the services provided by different types of Chinese communities varied in their impact on the social involvement of residents during…”
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An efficient local search heuristic with row weighting for the unicost set covering problem by Gao, Chao, Yao, Xin, Weise, Thomas, Li, Jinlong

“…•A new algorithm was developed for the unicost set covering problem.•It integrates ideas of adaptive row weighting, a tabu list, and timestamps.•It was…”
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Frequency Fitness Assignment: Optimization Without Bias for Good Solutions Can Be Efficient by Weise, Thomas, Wu, Zhize, Li, Xinlu, Chen, Yan, Lassig, Jorg

“…A fitness assignment process transforms the features (such as the objective value) of a candidate solution to a scalar fitness, which then is the basis for…”
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High energy density capacitors for ETC gun applications by Wisken, H.G., Podeyn, F., Weise, H.G.G.

“…Driven by the significantly reduced electric energy requirements of large caliber ETC guns applied with improved electrothermal plasma ignition methods…”
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Rotation-aware representation learning for remote sensing image retrieval by Wu, Zhi-Ze, Zou, Chang, Wang, Yan, Tan, Ming, Weise, Thomas

“…The rising number and size of remote sensing (RS) image archives makes content-based RS image retrieval (CBRSIR) more important. Convolutional neural networks…”
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Hierarchical fusion and divergent activation based weakly supervised learning for object detection from remote sensing images by Wu, Zhi-Ze, Xu, Jian, Wang, Yan, Sun, Fei, Tan, Ming, Weise, Thomas

“…Object detection and location from remote sensing (RS) images is challenging, computationally expensive, and labor intense. Benefiting from research on…”
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Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features by Weise, Thomas, Wang, Xiaofeng, Qi, Qi, Li, Bin, Tang, Ke

“…In the fields of heuristic optimization and machine learning, experimentation is the way to assess the performance of an algorithm setup and the hardness of…”
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