Multicriteria Personnel Selection by the Modified Fuzzy VIKOR Method by Rasim M. Alguliyev, Ramiz M. Aliguliyev, Rasmiyya S. Mahmudova

“…Firstly, from a computational complexity point of view, the presented model is effective. …”
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Personalized Recommendation Model of High-Quality Education Resources for College Students Based on Data Mining by Chaohua Fang, Qiuyun Lu

“…Currently, most learner models generally have a lack of scientific focus that they have a single method of obtaining dimensions, feature attributes, and low computational complexity. These problems may lead to disagreement between the learner’s learning ability and the difficulty of the recommended learning resources and may lead to the cognitive overload or disorientation of learners in the learning process. …”
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Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors by Giacomo Peruzzi, Alessandra Galli, Giada Giorgi, Alessandro Pozzebon

“…However, wearable solutions can be intrusive and affect sleep, while non-wearable systems, such as camera-based approaches and pressure sensor arrays, often face challenges related to privacy, cost, and computational complexity. The system in this paper proposes a microcontroller-based approach exploiting the execution of an embedded machine learning (ML) model for posture classification. …”
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Applying MLP-Mixer and gMLP to Human Activity Recognition by Takeru Miyoshi, Makoto Koshino, Hidetaka Nambo

“…Reducing the number of parameters would decrease memory requirements and computational complexity by reducing the model size. We evaluated the performance of two MLP-based models, MLP-Mixer and gMLP, by reducing the values of hyperparameters in their MLP layers from those proposed in the respective original papers. …”
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New Robust PCA for Outliers and Heavy Sparse Noises’ Detection via Affine Transformation, the L∗,w and L2,1 Norms, and Spatial Weight Matrix in High-Dimensional Images: From the Pe... by Peidong Liang, Habte Tadesse Likassa, Chentao Zhang, Jielong Guo

“…To mitigate the computational complexity, alternating iteratively reweighted direction method of multipliers (ADMM) method is utilized to derive a new set of recursive equations to update the optimization variables and the affine transformations iteratively in a round-robin manner. …”
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A New Highly Secure Optical Image Security Technique Using Gyrator Transform for Image Security-Related Applications by L. Anusree, M. Abdul Rahiman

“…Each work has its advantages and disadvantages in terms of computational complexity, security level, flexibility, quality, and so on. …”
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A New Double Color Image Watermarking Algorithm Based on the SVD and Arnold Scrambling by Ying Li, Musheng Wei, Fengxia Zhang, Jianli Zhao

“…In the process of the algorithm, we only need to perform real number algebra operations, which have very low computational complexity and are more effective than the one using the quaternion SVD of color image.…”
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A Multiuser Detector Based on Artificial Bee Colony Algorithm for DS-UWB Systems by Zhendong Yin, Xiaohui Liu, Zhilu Wu

“…The simulation results demonstrate that the BER and the near-far effect resistance performances of this proposed algorithm are quite close to those of the optimum multiuser detector (OMD) while its computational complexity is much lower than that of OMD. Furthermore, the BER performance of SCM-ABC-MUD is not sensitive to the number of active users and can obtain a large system capacity.…”
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Fast Tensor-Based Joint Estimation for Time Delay and Angle of Arrival in OFDM System by Jinzhi Du, Weijia Cui, Bin Ba, Chunxiao Jian, Haiyun Xu

“…The simulated performance demonstrates that the proposed algorithm offers precise estimates at low signal-to-noise ratios in a multipath environment and outperforms traditional vector-based algorithms with respect to computational complexity.…”
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A Sparse Representation Method for Coherent Sources Angle Estimation with Uniform Circular Array by Xiaolong Su, Zhen Liu, Tianpeng Liu, Bo Peng, Xin Chen, Xiang Li

“…Considering that objective function requires sparsity in the spatial dimension but does not require sparsity in time, singular value decomposition (SVD) is employed to reduce computational complexity and ℓ2 norm is utilized to renew objective function. …”
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Nonfragile H∞ Filter Design for Nonlinear Continuous-Time System with Interval Time-Varying Delay by Zhongda Lu, Guoliang Zhang, Yi Sun, Jie Sun, Fangming Jin, Fengxia Xu

“…Using new matrix decoupling method to reduce the computational complexity, the filter parameters can be obtained by solving a set of linear matrix inequalities (LMIs). …”
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FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension Rooting by Cheng Wang, Zhi Zheng, Wen-Qin Wang

“…Subsequently, the 2D spectrum peaks search (SPS) is converted into one-dimensional (1D) SPS to reduce the computational complexity using a reduction dimension transformation. …”
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A Reduced-Order Model of Lithium–Sulfur Battery Discharge by Noushin Haddad, Hosam K. Fathy

“…This increases the computational complexity of model-based estimation and optimal control. …”
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Compressed Measurements Based Spectrum Sensing for Wideband Cognitive Radio Systems by Taha A. Khalaf, Mohammed Y. Abdelsadek, Mohammed Farrag

“…The proposed algorithm not only reduces the computational complexity but also provides a better performance than the traditional energy detector and the traditional compressed detector in terms of the receiver operating characteristics. …”
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Very large scale integration implementation of seizure detection system with on‐chip support vector machine classifier by Shalini Shanmugam, Selvathi Dharmar

“…The systolic array architecture‐based support vector machine classifier using parallel processing helps to minimize the computational complexity of the proposed method. This research work uses an open access EEG dataset. …”
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ASMT: An augmented state-based multi-target tracking algorithm in wireless sensor networks by Kejiang Xiao, Rui Wang, Lei Zhang, Jian Li, Tun Fun

“…To augment the state of the target tracking, augmented state-based multi-target tracking algorithm can effectively reduce the computational complexity of data association. Then, multi-target tracking in wireless sensor networks can be implemented by augmented state-based multi-target tracking algorithm as a simplified Bayesian estimation method is adopted. …”
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Spectrally compatible multiple‐input multiple‐output radar waveform design based on alternating direction method of multipliers by Rui Yang, Hong Jiang, Qi Zhang, Liangdong Qu

“…Due to the decomposability of ADMM, only a few quadratic programming subproblems need to be solved during each iteration in the authors' algorithm, which reduces the computational complexity. In numerical simulations, the proposed ADMM algorithm is compared with the semidefinite relaxation algorithm and the existing ADMM algorithm in a single‐antenna scenario and a multi‐antenna scenario, respectively. …”
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A Hybrid 3DMLUV-FIA Method for Scattering from a 3D Dielectric Object above a 2D Dielectric Rough Surface by Wu Xuezhi, Wenping Yu

“…Comparing to the case when object and rough surface are both PEC, the memory requirement and computational complexity for dielectric models are increased due to doubled unknown number. …”
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A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters by Muhammad Asif, Maaz Bin Ahmad, Imtiaz A. Taj, Muhammad Tahir

“…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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Eliminating Network Depth: Genetic Algorithm for Parameter Optimization in CNNs by M. Askari, S. Soleimani, M. H. Shakoor, M. Momeni

“…However, CNNs often require large numbers of parameters, leading to increased computational complexity, prolonged training times, and substantial resource demands. …”
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