Review of the matched asymptotic approach of the coupled criterion by Jiménez-Alfaro, Sara, García, Israel García, Doitrand, Aurélien

“…One of its key uses is in Fracture Mechanics, where it provides accurate approximations in the vicinity of the crack tip with low computational complexity. This method can be seamlessly integrated with the Coupled Criterion (CC), which enables the prediction of crack nucleation and propagation in brittle materials. …”
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PEM-PCA: A Parallel Expectation-Maximization PCA Face Recognition Architecture by Kanokmon Rujirakul, Chakchai So-In, Banchar Arnonkijpanich

“…However, the covariance matrix and eigenvalue decomposition stages cause high computational complexity, especially for a large database. …”
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Integration of a Large-Scale Genetic Analysis Workbench Increases the Accessibility of a High-Performance Pathway-Based Analysis Method by Sungyoung Lee, Taesung Park

“…The rapid increase in genetic dataset volume has demanded extensive adoption of biological knowledge to reduce the computational complexity, and the biological pathway is one well-known source of such knowledge. …”
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Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach by Hao Xiao, Wei Pei, Daoxin Han, Xiaowei Pu, Jiarui Wang

“…This paper constructs a distributed optimization model for the IEMs participating in voltage regulation ancillary services by considering multiple physical network constraints. To reduce computational complexity, the DistFlow power flow model and the second‐order cone relaxation method are introduced to transform the optimization model into a second‐order cone programming problem. …”
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Online Coregularization for Multiview Semisupervised Learning by Boliang Sun, Guohui Li, Li Jia, Kuihua Huang

“…For practical purpose, we also propose two sparse approximation approaches for kernel representation to reduce the computational complexity. Experiments show that our derived online coregularization algorithms achieve risk and accuracy comparable to offline algorithms while consuming less time and memory. …”
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A REAL TIME FACE RECOGNITION SYSTEM USING ALEXNET DEEP CONVOLUTIONAL NETWORK TRANSFER LEARNING MODEL by LAWRENCE O. OMOTOSHO, IBRAHIM K. OGUNDOYIN, JOSHUA O. OYENIYI, OLUWASHINA A. OYENIRAN

“…The most important issue, regardless of the method used in the face recognition system, is dimensionality and computational complexity, especially when operating on large databases. …”
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Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis by Jun He, Xiang Li, Yong Chen, Danfeng Chen, Jing Guo, Yan Zhou

“…However, as the number of samples increases, the interdomain distribution discrepancy measurement of the existing method has a higher computational complexity, which may make the generalization ability of the method worse. …”
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Modified complex multitask Bayesian compressive sensing using Laplacian scale mixture prior by Qilei Zhang, Lei Yu, Feng He, Yifei Ji

“…More importantly, the authors not only present the iterative algorithm but also develop the sub‐optimal fast implementation method based on the marginal likelihood maximisation, which dramatically reduce the computational complexity. Finally, sufficient numerical simulations validate the better performance of the proposed algorithm in reconstruction accuracy and computational effectiveness than existing work. …”
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Quantitative Detection of Financial Fraud Based on Deep Learning with Combination of E-Commerce Big Data by Jian Liu, Xin Gu, Chao Shang

“…At the same time, in order to reduce the computational complexity, the feature extraction is restricted to the space-time volume of the dense trajectory. …”
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Improved Algorithm for Gradient Vector Flow Based Active Contour Model Using Global and Local Information by Jianhui Zhao, Bingyu Chen, Mingui Sun, Wenyan Jia, Zhiyong Yuan

“…Experimental results illustrate the efficiency of our method, and the computational complexity is also analyzed.…”
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Joint Subchannel Pairing and Power Control for Cognitive Radio Networks with Amplify-and-Forward Relaying by Yanyan Shen, Shuqiang Wang, Zhiming Wei

“…To reduce the computational complexity, two suboptimal algorithms are developed. …”
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EMIKNet: Expanding Multiple-Instance Inverse Kinematics Network for Multiple End-Effector and Multiple Solutions by Youn-Jae Go, Jun Moon

“…Inverse Kinematics (IK) is essential for robot control but suffers from computational complexity as the number of links and end-effectors increases, thereby affecting real-time control accuracy and performance. …”
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Computationally Efficient Compressed Sensing-Based Method via FG Nyström in Bistatic MIMO Radar with Array Gain-Phase Error Effect by Jurong Hu, Evans Baidoo, Lei Zhan, Ying Tian

“…Additionally, the analyses of the computational complexity and the Cramér–Rao bounds for angle estimation are derived theoretically. …”
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Unmanned aerial vehicle aerial image stitching method based on superpixel segmentation by Zhiyou Lian, Jianhua Ren

“…Abstract Addressing the issues of long processing time, high computational complexity, and poor stitching quality in existing methods for unmanned aerial vehicle (UAV) aerial image stitching, this paper proposes an aerial image stitching method based on similar region estimation. …”
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Two-Dimensional Direction-of-Arrivals Estimation Based on One-Dimensional Search Using Rank Deficiency Principle by Feng-Gang Yan, Zhi-Kun Chen, Ming-Jian Sun, Yi Shen, Ming Jin

“…A novel efficient method for two-dimensional (2D) direction-of-arrivals (DOAs) estimation is proposed to reduce the computational complexity of conventional 2D multiple signal classification (2D-MUSIC) algorithm with uniform rectangular arrays (URAs). …”
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An Improved Multicell MMSE Channel Estimation in a Massive MIMO System by Ke Li, Xiaoqin Song, M. Omair Ahmad, M. N. S. Swamy

“…Conventional channel estimation schemes cannot mitigate this problem effectively, and the computational complexity is increasingly becoming larger in views of the large number of antennas employed in a massive MIMO system. …”
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Distributed filtering in sensor networks based on linear minimum mean square error criterion with limited sensing range by Teng Shao

“…The stability and computational complexity of linear minimum mean square error filter are analyzed. …”
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DCFE-YOLO: A novel fabric defect detection method. by Lei Zhou, Bingya Ma, Yanyan Dong, Zhewen Yin, Fan Lu

“…Finally, the feature fusion network integrates Partial Convolution and Efficient Multi-scale Attention, optimizing the fusion of information across different feature levels and spatial scales, which enhances the richness and accuracy of feature representations while reducing computational complexity. Experimental results demonstrate a significant improvement in detection performance. …”
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A Novel SLM Scheme for PAPR Reduction in OFDM Systems by Tian-Ming Ma, Yu-Song Shi, Ying-Guan Wang

“…The complexity analysis and simulation results show that this algorithm can dramatically reduce computational complexity comparing with the conventional SLM scheme as in Hill et al., 2000; Yang et al., 2009; Wang and Ouyang, 2005; Li et al., 2010; and Heo et al., 2007 under the similar PAPR reduction performance.…”
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A Fast Adaptive Receive Antenna Selection Method in MIMO System by Chaowei Wang, Weidong Wang, Cheng Wang, Shuai Wang, Yang Yu

“…Mathematical analysis and numerical results show that our algorithm significantly reduces the computational complexity and memory requirement and achieves considerable system capacity gain compared with the optimal selection technique in the same time.…”
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