A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition by Jiawen Li, Guanyuan Feng, Chen Ling, Ximing Ren, Xin Liu, Shuang Zhang, Leijun Wang, Yanmei Chen, Xianxian Zeng, Rongjun Chen

“…The proposed method achieves 84.62% and 82.48% accuracy in arousal and valence classification tasks, respectively, indicating its effectiveness in reducing data dimensionality and computational complexity while maintaining an accuracy of over 80%. …”
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A Comprehensive Review of Direction-of-Arrival Estimation and Localization Approaches in Mixed-Field Sources Scenario by Amir Masoud Molaei, Bijan Zakeri, Seyed Mehdi Hosseini Andargoli, Muhammad Ali Babar Abbasi, Vincent Fusco, Okan Yurduseven

“…Special attention is given to technical issues such as aperture loss, computational complexity, and hardware considerations. The paper discusses the various sources of noise in the mentioned scenario and highlights the importance of modeling noise accurately for effective estimation. …”
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ϵ-Confidence Approximately Correct (ϵ-CoAC) Learnability and Hyperparameter Selection in Linear Regression Modeling by Soosan Beheshti, Mahdi Shamsi

“…Drawbacks of these methods include introducing new hyperparameters with their own new challenges and uncertainties, potential increase of the computational complexity or requiring large set of training data sets. …”
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MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification by Mehdhar S. A. M. Al-Gaashani, Reem Alkanhel, Muthana Ali Salem Ali, Mohammed Saleh Ali Muthanna, Ahmed Aziz, Ammar Muthanna

“…These models also suffer from high computational complexity when deeper layers are introduced to handle fine-grained details. …”
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Novel Pythagorean fuzzy score function to optimize fuzzy transportation models by Ritu, Tarun Kumar, Jahnvi, Kapil Kumar, Nitesh Dhiman, M.K. Sharma

“…Also, the proposed score function integrates these interval values to quantify and rank the alternatives more effectively.However, a notable trade-off is the increased computational complexity due to the use of interval values in the membership and non-membership functions, particularly in larger-scale transportation problems. …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…However, the advent of larger IDS datasets has negatively impacted the performance and computational complexity of AI-based IDSs. Many researchers used data preprocessing techniques such as feature selection and normalization to overcome such issues. …”
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A lightweight wheat ear counting model in UAV images based on improved YOLOv8 by Ruofan Li, Xiaohua Sun, Kun Yang, Zhenxue He, Zhenxue He, Xinxin Wang, Xinxin Wang, Chao Wang, Chao Wang, Bin Wang, Fushun Wang, Fushun Wang, Hongquan Liu, Hongquan Liu

“…Additionally, a lightweight dynamic upsampler, Dynamic Sample (DySample), is introduced to decrease computational complexity of the upsampling process by dynamically adjusting interpolation positions. …”
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Efficient Prediction of Network Traffic for Real-Time Applications by Muhammad Faisal Iqbal, Muhammad Zahid, Durdana Habib, Lizy Kurian John

“…Comparison of accuracy and cost, both in terms of computation complexity and power consumption, is presented. …”
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Phase retrieval for block sparsity based on adaptive coupled variational Bayesian learning by Di Zhang, Yimao Sun, Siqi Bai, Qun Wan

“…Simulations indicate that the proposed algorithm outperforms the existing methods in success rate, noise‐robustness, and signal detection rate in large‐scale cases with acceptable computation complexity.…”
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Low-Complexity Transmit Antenna Selection and Beamforming for Large-Scale MIMO Communications by Kun Qian, Wen-Qin Wang, Huaizong Shao

“…It is shown that the required antenna selection processing time of the proposed method does not increase along with the increase of selected antennas, but the computation complexity of conventional exhaustive search method will significantly increase when large-scale antennas are employed in the system. …”
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Low Complexity Cyclic Feature Recovery Based on Compressed Sampling by Zhuo Sun, Jia Hou, Siyuan Liu, Sese Wang, Xuantong Chen

“…In this paper, we propose a new cyclic feature recovery approach based on the reconstruction of autocorrelation sequence from sub-Nyquist samples, which can reduce the computation complexity and memory consumption significantly, while the recovery performance remains well in the same compressive ratio. …”
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Hierarchical Newton Iterative Parameter Estimation of a Class of Input Nonlinear Systems Based on the Key Term Separation Principle by Cheng Wang, Kaicheng Li, Shuai Su

“…In order to improve the computation complexity, the key term separation principle is introduced to avoid the redundant parameter estimation. …”
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Implementation Aspects in Simulation Extrapolation-Based Stocking–Lord Linking by Alexander Robitzsch

“…However, the original SIMEX approach can be computationally complex. This article evaluates two computational shortcuts to SIMEX-based SL linking through a simulation study: a quasi-Monte Carlo method that replicates items and a proposal using an approximate noniterative estimation instead of the iterative one in the SIMEX application of SL linking. …”
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A Computational Approach to the Perimeter-Area Inequality in a Triangle by Tomás Recio, Carlos Ueno, María Pilar Vélez

“…Focusing on the computational complex and real algebraic geometry methods behind these tools, this study analyzes a geometric construction involving a triangle with arbitrary side lengths and area, investigating the automated derivation of the relationship between the area and perimeter of a triangle, and showing that only equilateral triangles satisfy the exact perimeter-area equality. …”
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A Benders Decomposition Algorithm for the Passenger Train Service Planning by Song Pu

“…In addition, we analyze the computational complexities of the model and develop a Benders decomposition algorithm with valid inequalities to solve this problem. …”
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A Fast and Robust Key Frame Extraction Method for Video Copyright Protection by Yunyu Shi, Haisheng Yang, Ming Gong, Xiang Liu, Yongxiang Xia

“…Compared with the previous methods, the proposed method has advantage in computation complexity and robustness on several video formats, video resolution, and so on.…”
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A tags’ arrival rate estimation method using weighted grey model(1,1) and sliding window in mobile radio frequency identification systems by Liqian Zhang, Xueliang Fu, Honghui Li

“…The experimental results show that the proposed method has lower estimation error rate, lower computation complexity, and high system stability.…”
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Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates by Roulet, Vincent, Srinivasa, Siddhartha, Fazel, Maryam, Harchaoui, Zaid

“…Furthermore, we present line-search strategies and regularized variants of these algorithms, along with a comprehensive analysis of their computational complexities. We study the performance of the aforementioned algorithms on various nonlinear control benchmarks, including autonomous car racing simulations using a simplified car model. …”
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A novel framework for face recognition using robust local representation–based classification by Aihua Yu, Gang Li, Beiping Hou, Hongan Wang, Gaoya Zhou

“…A dimension reduction is then adopted in order to reduce the computation complexity via an optimized projection matrix. …”
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Direction Finding Using Multiple Sum and Difference Patterns in 4D Antenna Arrays by Quanjiang Zhu, Shiwen Yang, Ruilin Yao, Zaiping Nie

“…The proposed direction-finding system covers a large field-of-view of up to ±60° and simultaneously maintains the advantages of monopulse systems, such as high angle precision and low computation complexity. Theoretical analysis and experimental results validate the effectiveness of the proposed system.…”
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