Hybrid optimization of EDLP and high-low pricing strategies by Hamed Karimi

“…However, as retail applications scale up, the computational complexity becomes more challenging, necessitating the use of the Grey Wolf Optimization (GWO) algorithm. …”
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A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm by Sanyi Li, Wenjie Hou, Peng Liu, Weichao Yue, Qian Wang

“…SPNN-DMOA only needs to maintain non-dominated solutions in proximity to special points, which reduces the computational complexity in the dynamic evolution process. …”
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Fast Ways to Detect Outliers by Emad Obaid Merza, Nashaat Jasim Mohammed

“…In this research, we aim to develop easy methods for detecting outliers in big data, as the problem that this research addresses is that many of the newly developed methods for detecting outliers suffer from computational complexity or are efficient when the sample size is small. …”
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Inference Attacks on Genomic Data Based on Probabilistic Graphical Models by Zaobo He, Junxiu Zhou

“…Existing genome inferences have relatively high computational complexity with the input of tens of millions of SNPs and human traits. …”
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A Modified Salp Swarm Algorithm Based on the Perturbation Weight for Global Optimization Problems by Yuqi Fan, Junpeng Shao, Guitao Sun, Xuan Shao

“…The proposed perturbation weight salp swarm algorithm has the advantages of a broad search scope and a strong balance between exploration and exploitation and retains a relatively low computational complexity when dealing with numerous large-scale problems. …”
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A novel transmission-augmented deep unfolding network with consideration of residual recovery by Zhijie Zhang, Huang Bai, Ljubiša Stanković, Junmei Sun, Xiumei Li

“…Nevertheless, these iterative algorithms suffer from the high computational complexity. The fashionable deep network-based methods can achieve high-precision CS reconstruction with satisfactory speed but are short of theoretical analysis and interpretability. …”
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An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…The experimental results indicate that the proposed IRCHKD outperforms than some state-of-the-art RSSC approaches with a large margin in lower computational complexity.…”
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Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…Key research gaps are identified, including the need for large training samples, challenges in Maximum Intensity Projection (MIP) imaging, limitations of 2D architectures, and issues related to overfitting and computational complexity. The review also observes that shallow networks and pretrained models are effective in addressing these challenges. …”
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ASDNet: An Efficient Self-Supervised Convolutional Network for Anomalous Sound Detection by Dewei Kong, Guoshun Yuan, Hongjiang Yu, Shuai Wang, Bo Zhang

“…However, existing methods, while pursuing high detection accuracy, are often associated with high computational complexity, making them unsuitable for resource-constrained environments. …”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…Optimization of the ANN architecture yielded a model with six hidden layers, each containing 512 nodes, providing an optimized balance between accuracy and computational complexity. Extensive testing enabled us to establish ANN's applicability limits and to quantify the systematic and statistical errors associated with using such networks for EB analysis. …”
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Supralinear dendritic integration in murine dendrite-targeting interneurons by Simonas Griesius, Amy Richardson, Dimitri Michael Kullmann

“…Dendritic boosting of spatially clustered synaptic signals argues for previously unappreciated computational complexity in dendrite-projecting inhibitory cells of the hippocampus.…”
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Energy-efficient and fast memristor-based serial multipliers applicable in image processing by Seyed Erfan Fatemieh, Bahareh Bagheralmoosavi, Mohammad Reza Reshadinezhad

“…Serial Material Implication (IMPLY) logic design implements arithmetic circuits by applying emerging memristive technology that enables CIM Array (CIM-A). The computational complexity of IMPLY-based multipliers for use in the CIM-A architecture is a significant design challenge. …”
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Development of algorithm for receiving and decoding input signal using MTD decoder for subscriber terminals operating with low-orbit spacecraft by D. P. Sedunov, A. S. Zhunusova

“…The comparison allows us to conclude that the application of the developed algorithm is justified in systems where more stringent requirements are imposed on the probability of an error in the communication channel, while the «Messi» decoder is more appropriate to use in the presence of restrictions on computational complexity.…”
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An Efficient Retinal Fluid Segmentation Network Based on Large Receptive Field Context Capture for Optical Coherence Tomography Images by Hang Qi, Weijiang Wang, Hua Dang, Yueyang Chen, Minli Jia, Xiaohua Wang

“…With only 1.02 million parameters and a computational complexity of 3.82 G FLOPs, LKMU-Lite achieves state-of-the-art performance across multiple metrics on the ICF and RETOUCH datasets, demonstrating both its efficiency and generalizability compared to existing methods.…”
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MetaQ: fast, scalable and accurate metacell inference via single-cell quantization by Yunfan Li, Hancong Li, Yijie Lin, Dan Zhang, Dezhong Peng, Xiting Liu, Jie Xie, Peng Hu, Lu Chen, Han Luo, Xi Peng

“…This approach reduces computational complexity from exponential to linear while maintaining or surpassing the performance of existing metacell algorithms. …”
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Gene Selection Based Cancer Classification With Adaptive Optimization Using Deep Learning Architecture by Anju Das, N. Neelima, K. Deepa, Tolga Ozer

“…The abundance of features introduces high dimensionality, contributing to high computational complexity and resource demands. Furthermore, the presence of redundant or highly correlated selected features may lead to multicollinearity issues. …”
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Multiobjective Memetic Estimation of Distribution Algorithm Based on an Incremental Tournament Local Searcher by Kaifeng Yang, Li Mu, Dongdong Yang, Feng Zou, Lei Wang, Qiaoyong Jiang

“…Besides, since ε-dominance is a strategy that can make multiobjective algorithm gain well distributed solutions and has low computational complexity, ε-dominance and the incremental tournament local searcher are combined here. …”
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A Lightweight Human Activity Recognition Method for Ultra-wideband Radar Based on Spatiotemporal Features of Point Clouds by Yongkun SONG, Tianxing YAN, Ke ZHANG, Xian LIU, Yongpeng DAI, Tian JIN

“…To address the issues of high computational complexity and extensive network parameters in existing action recognition algorithms, this study proposes an efficient and lightweight human activity recognition method using UWB radar based on spatiotemporal point clouds. …”
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Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics by Shuhao Ma, Yu Cao, Ian D. Robertson, Chaoyang Shi, Jindong Liu, Zhi-Qiang Zhang

“…Computational musculoskeletal modeling has been widely used as a powerful non-invasive tool to estimate them through inverse dynamics using static optimization, but the inherent computational complexity results in time-consuming analysis. …”
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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…Additionally, we explore the use of TinyViT to reduce computational complexity and propose an attention mechanism to dynamically enhance feature representation. …”
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