An efficient patient’s response predicting system using multi-scale dilated ensemble network framework with optimization strategy by Nalini Manogaran, Nirupama Panabakam, Durai Selvaraj, Koteeswaran Seerangan, Firoz Khan, Shitharth Selvarajan

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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…Accordingly, the objective of the research is to enhance the interior scene analysis algorithm in interior design, thereby optimizing its performance in the domain of computer vision. …”
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Hybrid Algorithms for Fuzzy Reverse Supply Chain Network Design by Z. H. Che, Tzu-An Chiang, Y. C. Kuo, Zhihua Cui

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Advances in Digital Signature Algorithms: Performance, Security and Future Prospects by Lyu Shuhan

“…The results show that while optimizations improve computational efficiency, challenges persist, especially with potential quantum threats that could undermine these algorithms' security. …”
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Stochastic Block-Coordinate Gradient Projection Algorithms for Submodular Maximization by Zhigang Li, Mingchuan Zhang, Junlong Zhu, Ruijuan Zheng, Qikun Zhang, Qingtao Wu

“…We consider a stochastic continuous submodular huge-scale optimization problem, which arises naturally in many applications such as machine learning. …”
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Multijunction solar cell parameter estimation based on metaheuristic algorithms by Marwa M. Elzalabani, Doaa M. Atia, Aref Y. Eliwa, Belal A. Abou Zalam, Mahmoud S. AbouOmar

“…The study compared the performance of five optimization algorithms: Grey Wolf Optimizer (GWO), Artificial Hummingbird Algorithm (AHA), Tunicate Swarm Algorithm (TSA), War Strategy Algorithm (WSA), and Moth flam optimizer (MFO). …”
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Comparative analysis of image hashing algorithms for visual object tracking by Vitalii Naumenko, Sergiy Abramov, Vladimir Lukin

“…Subject of the research – visual object tracking using various image hashing algorithms for real-time tracking tasks. The goal of this study is to evaluate the tracking success and processing speed of existing and new hashing algorithms for object tracking and to identify the most suitable algorithms to be used under limited computational resources. …”
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Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection by Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka

“…The proposed EGAB algorithms are developed using constrained gradient optimization with regularization terms, demonstrating their versatility in OLPS by unifying the directional search of various algorithms and enabling interpolation between them. …”
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Algorithms for Automatic Detection and Location of Infrasound Events in the PSDL System by Asming Vladimir Ernestovich, Fedorov Andrey Viktorovich

“…The implemented algorithm is optimized for working with arrays consisting of a large number of sensors, which allows minimizing the computational load on the monitoring system in near-real time mode. …”
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Deep learning algorithms for detecting fractured instruments in root canals by Ekin Deniz Çatmabacak, İrem Çetinkaya

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Finding Random Integer Ideal Flow Network Signature Algorithms by Kardi Teknomo, Erna Budhiarti Nababan, Indriati Njoto Bisono, Resmana Lim

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Combined approximation algorithms for interactive design of road routes in CAD by D. A. Karpov, V. I. Struchenkov

“…The aim of the work is to create algorithms for approximating a sequence of points on a plane by arcs of clothoids and circles. …”
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Multi-Level Particle System Modeling Algorithm with WRF by Julong Chen, Bin Wang, Rundong Gan, Xuepeng Mou, Shiping Yang, Ling Tan

“…To improve modeling efficiency, cascade Bezier curves are designed at different line-of-sights (LoSs), utilizing the weight information of boundary particles to optimize cloud contours. Experimental results show that, compared with similar algorithms, our algorithm reduces the average running time by 37.5%, indicating enhanced computational efficiency and real-time capability, and the average number of required particles by 30.1%, reducing the cost of long-range computing. …”
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Unite and conquer approach for data clustering based on particle swarm optimization and moth flame optimization by E. Mosavi, S.A. Shahzadeh Fazeli, E. Abbasi, F. Kaveh-Yazdy

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Improved Particle Swarm Optimization with a Collective Local Unimodal Search for Continuous Optimization Problems by Martins Akugbe Arasomwan, Aderemi Oluyinka Adewumi

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Branch-and-Reduction Algorithm for Indefinite Quadratic Programming Problem by Yongjian Qiu, Yuming Zhu, Jingben Yin

“…Next, a novel linearizing technique is presented for deriving the linear relaxation programs problem (LRPP) of the EBOP, which can be used to obtain the lower bound of the global optimal value to the EBOP. To obtain a global optimal solution of the EBOP, the main computational task of the proposed algorithm involves the solutions of a sequence of LRPP. …”
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Computing Non-Dominated Flexible Skylines in Vertically Distributed Datasets with No Random Access by Davide Martinenghi

“…The <i>non-dominated flexible skyline</i> (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi>ND</mi></mrow></mrow></semantics></math></inline-formula>) is one such proposal, which tries to obtain the best of top-<i>k</i> and skyline queries. We introduce an algorithm for computing <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mrow><mi>ND</mi></mrow></mrow></semantics></math></inline-formula> in the NRA scenario, prove its correctness and optimality within its class, and provide an experimental evaluation covering a wide range of cases, with both synthetic and real datasets.…”
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Solving Multi-Objective Complementary Programming Problem (MOCPP) by using Optimal Average by Najmaddin Sulaiman, Abdul-Qader Hamadamin

“…In this paper, we suggested an approach to solve Multi-Objective Complementary Programming Problem (MOCPP) by using optimal average (O_AV). The computer application of algorithm also has been demonstrated by flow-chart and solving a numerical examples by using MATHLABR2006a, and shown results in tables.…”
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Salp Swarm Algorithm for Node Localization in Wireless Sensor Networks by Huthaifa M. Kanoosh, Essam Halim Houssein, Mazen M. Selim

“…In this paper, a node localization scheme is proposed based on a recent bioinspired algorithm called Salp Swarm Algorithm (SSA). The proposed algorithm is compared to well-known optimization algorithms, namely, particle swarm optimization (PSO), Butterfly optimization algorithm (BOA), firefly algorithm (FA), and grey wolf optimizer (GWO) under different WSN deployments. …”
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Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha, Somnath Chatterjee, Shibaprasad Sen, Diego Oliva, Marco Perez-Cisneros, Ram Sarkar

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