Generalizing the Brady-Yong Algorithm: Efficient Fast Hough Transform for Arbitrary Image Sizes by Danil D. Kazimirov, Ekaterina O. Rybakova, Vitalii V. Gulevskii, Arseniy P. Terekhin, Elena E. Limonova, Dmitry P. Nikolaev

“…Users can select the method that best suits their needs — whether prioritizing computational complexity or accuracy — by referring to our map.…”
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Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Conclusion The reduced computational complexity enables real‐time monitoring. Our approach demonstrates substantial improvements in classification results compared to traditional deep learning methods.…”
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A Network Traffic Prediction Model Based on Layered Training Graph Convolutional Network by Yulian Li, Yang Su

“…The conventional model that extracts space-correlated features of traffic flow have the problem of high computational complexity and long training time which limits the model’s application on rapid routing deployment. …”
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Practically Efficient Blind Speech Separation Using Frequency Band Selection Based on Magnitude Squared Coherence and a Small Dodecahedral Microphone Array by Kazunobu Kondo, Yusuke Mizuno, Takanori Nishino, Kazuya Takeda

“…The estimated reduction in the computational complexity is 90% with a 68% reduction in the number of frequency bands. …”
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A Novel Method for DOA and Time Delay Joint Estimation in Multipath OFDM Environment by Xiangzhi Li, Weijia Cui, Haiyun Xu, Bin Ba, Yankui Zhang

“…Furthermore, methods proposed in this paper have much less computational complexity and better estimation performance compared with the multidimensional spectral peak search methods.…”
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Sparse Regularization With Reverse Sorted Sum of Squares via an Unrolled Difference-of-Convex Approach by Takayuki Sasaki, Kazuya Hayase, Masaki Kitahara, Shunsuke Ono

“…These include developing an algorithm grounded in theory, not heuristics, reducing computational complexity, enabling the automatic determination of numerous parameters, and ensuring the number of iterations remains feasible. …”
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PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems by Lahcen Amhaimar, Saida Ahyoud, Ali Elyaakoubi, Abdelmoumen Kaabal, Kamal Attari, Adel Asselman

“…In this paper, a reduced computational complexity PTS scheme is proposed, based on a novel swarm intelligence algorithm, called fireworks algorithm (FWA). …”
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Ways to improve the accuracy of the harmonic method for simulating two-dimensional signals by V.V. Syuzev, A.V. Proletarsky, D.A. Mikov, I.I. Deykin

“…Weaknesses are revealed, such as insufficient accuracy and high computational complexity, which are characteristic of spectral simulation methods in general, including the harmonic method. …”
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XTNSR: Xception-based transformer network for single image super resolution by Jagrati Talreja, Supavadee Aramvith, Takao Onoye

“…The model processes grid-like image patches effectively and reduces computational complexity by integrating a Patch Embedding layer. …”
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Edge and texture aware image denoising using median noise residue U-net with hand-crafted features by Soniya S., Sriharipriya K. C.

“…In addition, the model was found to be less expensive, with low computational complexity.…”
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GS-LinYOLOv10: A drone-based model for real-time construction site safety monitoring by Yang Song, ZhenLin Chen, Hua Yang, Jifei Liao

“…These innovations reduce computational complexity while significantly improving detection accuracy. …”
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Resource Allocation in D2D-Enabled 5G Networks Using Multiagent Reinforcement Learning by Kwame Opuni-Boachie Obour Agyekum, Alex Yaw Boakye, Benedict Appati, Jochebed Akoto Opoku, Justice Owusu Agyemang, Gordon Owusu Boateng, James Dzisi Gadze

“…Staggered training improves agent performance and minimizes computational complexity by training agents one at a time in a sequential manner. …”
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Vehicle-to-Vehicle Communication Channel Estimator Based on Gate Recurrent Unit by Jun-Han Wang, He He, Kosuke Tamura, Shun Kojima, Jaesang Cha, Chang-Jun Ahn

“…At the same time, the computational complexity of the algorithm has been reduced to some extent, allowing the estimator to complete the channel estimation faster. …”
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DLiGRU-X: Efficient X-Vector-Based Embeddings for Small-Footprint Keyword Spotting System by Zong-En Wu, Shao-Jung Chan, Yeshanew Ale Wubet, Kuang-Yow Lian

“…The DLiGRU-X model enhances temporal feature extraction with a LiGRU and reduces computational complexity through dilated convolution techniques. …”
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Parameter-Efficient Vehicle Trajectory Prediction Based on Attention-Enhanced Liquid Structural Neural Model by Ruochen Wang, Yue Chen, Renkai Ding, Qing Ye

“…Notably, it reduces computational complexity and model size while maintaining superior accuracy, making it well suited for deployment in resource-constrained systems. …”
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Maximum Closeness Centrality k-Clubs: A Study of Dock-Less Bike Sharing by Ali Rahim Taleqani, Chrysafis Vogiatzis, Jill Hough

“…Due to its computational complexity, the problem cannot be solved exactly in a large-scale setting, as is such of an urban area. …”
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Linear Multivariate Decision Trees for Fast QTMT Partitioning in VVC by Jose N. Filipe, Luis M. N. Tavora, Sergio M. M. Faria, Antonio Navarro, Pedro A. A. Assuncao

“…One such tool is the Quaternary Tree and Multi-Type Tree (QTMT) used in the Versatile Video Coding (VVC), which significantly improves coding efficiency over previous standards, but introduces substantially higher computational complexity. To address the challenge of reducing computational complexity with minimal impact on coding efficiency, this paper presents a novel approach for intra-coding 360<inline-formula><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula> video in Equirectangular Projection (ERP) format. …”
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Medical image segmentation based on frequency domain decomposition SVD linear attention by Liu Qiong, Li Chaofan, Teng Jinnan, Chen Liping, Song Jianxiang

“…This method reduces computational complexity while preserving essential features. …”
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Face Detection Using Hybrid SNN-ANN to Process Neuromorphic Event Stream by Waseem Shariff, Paul Kielty, Joe Lemley, Peter Corcoran

“…Traditional frame-based methods often suffer from high computational complexity and under-sampling issues. In turn this limits their effectiveness in real-time applications and increase energy budget. …”
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Analytical Computation of Information Rate for MIMO Channels by Jinbao Zhang, Zhenhui Tan, Song Chen

“…However, the computational complexity makes information rate rather difficult to analyze for arbitrary fading multiple-input multiple-output (MIMO) channels. …”
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