SB‐YOLO‐V8: A Multilayered Deep Learning Approach for Real‐Time Human Detection by Prince Alvin Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Edward Kwadwo Boahen, Prince Boakye‐Sekyerehene, Abdullai Dwumfour

Subjects: “…binary ALO optimization…”
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Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…A set of comparisons were made against the original binary versions of both GWO and PSO algorithms and against eight state-of-the-art feature selection binary optimizers in addition to one of the recent binary optimizers that combines PSO with GWO. …”
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Training multi-layer binary neural networks with random local binary error signals by Luca Colombo, Fabrizio Pittorino, Manuel Roveri

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An ECoG-Based Binary Classification of BCI Using Optimized Extreme Learning Machine by Xinman Zhang, Qi Xiong, Yixuan Dai, Xuebin Xu, Guokun Song

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An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis by Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ibrahim Alrashdi, Ibrahim A. Hameed

“…Abstract This paper presents a binary variant of the recently proposed spider wasp optimizer (SWO), namely BSWO, for accurately tackling the multidimensional knapsack problem (MKP), which is classified as an NP-hard optimization problem. …”
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A practical evaluation of AutoML tools for binary, multiclass, and multilabel classification by Marcelo V. C. Aragão, Augusto G. Afonso, Rafaela C. Ferraz, Rairon G. Ferreira, Sávio G. Leite, Felipe A. P. de Figueiredo, Samuel B. Mafra

“…Abstract Selecting the most suitable Automated Machine Learning (AutoML) tool is pivotal for achieving optimal performance in diverse classification tasks, including binary, multiclass, and multilabel scenarios. …”
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A Decomposition-Based Stochastic Multilevel Binary Optimization Model for Agricultural Land Allocation Under Uncertainty by Fan Wang, Youxi Luo, Wenkai Zhang, Yanshu Yu

“…This study developed a decomposition-based stochastic multilevel binary optimization model for agricultural plot management. …”
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Gradual Optimization of Molecular Aggregation and Stacking Enables Over 19% Efficiency in Binary Organic Solar Cells by Jianqiang Qin, Linze Wu, Sihao Huang, Zeping Ou, Xiaowu Wang, Yingguo Yang, Yujie Zheng, Kuan Sun, Zeyu Zhang, Zhiping Hu, Zhengzheng Liu, Yuxin Leng, Juan Du

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Multi scale supervised entropy weighted binary pattern for texture classification by Xiaochun Xu, Bin Li

“…Secondly, to select the optimal texture scale from the Gaussian scale space, the paper proposes a local entropy-based optimal selection mechanism (LEOSM) grounded in the uniform properties of the proposed local entropy-weighted histogram. …”
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An efficient binary Harris hawks optimization based on logical operators for wind turbine layout according to various wind scenarios by Ayşe Beşkirli

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An efficient binary salp swarm algorithm for user selection in multiuser MIMO antenna systems by A. Sasikumar, Logesh Ravi, Malathi Devarajan, Abdulaziz S. Almazyad, Shuvodeep De, Guojiang Xiong, Seyed Jalaleddin Mousavirad, Ali Wagdy Mohamed

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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

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Reflective Distributed Denial of Service Detection: A Novel Model Utilizing Binary Particle Swarm Optimization—Simulated Annealing for Feature Selection and Gray Wolf Optimization-... by Daoqi Han, Honghui Li, Xueliang Fu

“…This work proposes a new FS approach, BPSO-SA, that is based on the Binary Particle Swarm Optimization (BPSO) and Simulated Annealing (SA) algorithms. …”
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Search Strategy Optimization of Affine Propagation Clustering Algorithm by DONG Jing-wei, ZHANG Tian-qi, LIU Yang, YANG Guang

“…For multi floor fingerprint location, large scale fingerprint samples increase the complexity of the matching algorithm, which not only hinders the realtime performance of the system, but also increases the energy loss of the mobile terminal.According to the theory of affinity propagation clustering algorithm, we can reduce the amount of computation.Fingerprint sample search in complex environment usually adopts the binary search method, and the optimal parameters for bias results clustering quality of the coarse positioning stages, but this method takes a long time.In the calculation of quality guarantee under the premise, in order to improve the clustering speed, the coarse positioning stage and the matching process, and gives the method to improve the binary search method.The experimental results show that the clustering of the same sample space, the binary search method the optimized algorithm can reduce the number of iterations, improve the work efficiency of the system, and the use of the iteration time is 74.5% shorter than the traditional binary search method.…”
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A novel hybrid algorithm based on combined BICA-BPSO for solving the optimal electricity procurement problem for large consumers by Mehdi Mehdinejad, Sayyad Nojavan, Kazem Zare, Behnam Mohammadi-ivatloo

“…This paper proposes a hybrid approach based on binary imperialist competitive algorithm (BICA) and binary particle swarm optimization (BPSO) to find optimal procurement for large consumers with multiple procurement options. …”
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Design of a Broadband Integrated Mode Converter Based on Non-Uniform Binary Long-Period Grating by Direct Multiparameter Optimization by Edyta Sroda, Jacek Olszewski, Waclaw Urbanczyk

“…We present a novel approach for designing non-uniform binary long-period gratings with predefined transmission characteristics by directly optimizing the coupling strengths and lengths of the constituent waveguides in all grating segments. …”
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Heliocentric Orbital Repositioning of a Sun-Facing Diffractive Sail with Controlled Binary Metamaterial Arrayed Grating by Alessandro A. Quarta

“…The analysis also includes a limiting case involving a circular heliocentric orbit. …”
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Performance Improvement of a Flash-Binary Geothermal Power System Using Zeotropic Working Fluid; A Comprehensive Exergoeconomic Analysis and Optimization by Seyed Sajad Mosaviasl, Ali Dezhdar, Sajjad Keykhah, Ehsan Farhadi, Mojtaba Nedaei

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A Comparison of Binary and Integer Encodings in Genetic Algorithms for the Maximum <i>k</i>-Coverage Problem with Various Genetic Operators by Yoon Choi, Jingeun Kim, Yourim Yoon

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Rejection-Free Monte Carlo Simulation of QUBO and Lechner&#x2013;Hauke&#x2013;Zoller Optimization Problems by Yoshihiro Nambu

“…We showed its validity and advantage in obtaining globally optimal solution for quadratic unconstrained binary optimization (QUBO) and spin-glass problem embedded in the Lechner&#x2013;Hauke&#x2013;Zoller (LHZ) architecture. …”
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