An improved searching algorithm for indoor trajectory reconstruction by Min Li, Jingjing Fu, Yanfang Zhang, Zhujun Zhang, Siye Wang, Huafeng Kong, Rui Mao

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Bridging the Gap: An Algorithmic Framework for Vehicular Crowdsensing by Luis G. Jaimes, Craig White, Paniz Abedin

“…We evaluate the applicability of successful participatory sensing approaches designed for pedestrian data and demonstrate their limitations when applied to VCS. This research provides insights into adapting greedy algorithms for the particular dynamics of vehicular crowdsensing.…”
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Negative Selection Algorithm for Unsupervised Anomaly Detection by Michał Bereta

“…In this work, we present a modification of the well-known Negative Selection Algorithm (NSA), inspired by the process of T-cell generation in the immune system. …”
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On the Effectiveness of Optimisation Algorithms for Hydrodynamic Lubrication Problems by František Kocman, Pavel Novotný

“…This study evaluates the most commonly used algorithms, including the genetic (GA), particle swarm (PSWM), pattern search (PSCH) and surrogate (SURG) algorithms. …”
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Scaling of hardware-compatible perturbative training algorithms by B. G. Oripov, A. Dienstfrey, A. N. McCaughan, S. M. Buckley

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The backpropagation algorithm implemented on spiking neuromorphic hardware by Alpha Renner, Forrest Sheldon, Anatoly Zlotnik, Louis Tao, Andrew Sornborger

“…This study presents a neuromorphic, spiking backpropagation algorithm based on synfire-gated dynamical information coordination and processing implemented on Intel’s Loihi neuromorphic research processor. …”
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Application of an Improved CHI Feature Selection Algorithm by Liang-jing Cai, Shu Lv, Kai-bo Shi

“…It is very important to improve the accuracy of classification results, and this is also the main research purpose of researchers in this field in recent years. …”
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Improved Firefly Algorithm Based on Heuristic Information by CUI Jia-rui, LI Qing, YANG Liu-yi, WANG Heng, ZHANG Bo-yu

“…Firefly Algorithm (FA) is an optimization algorithm based on swarm intelligence which mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies With the aim to address the disadvantages of the firefly algorithm of slow convergence speed and ease of falling into the local optimum in the later period of the evolution process, the firefly algorithm is improved herein Two kinds of heuristic information are proposed into the algorithm to guide the convergence of the algorithm The first one takes the current global best as the heuristic information referencing the “global optimal” idea in particle swarm optimization, therefore, an algorithm called FAGO (Firefly Algorithm based on Global Optimization) is formed The second one is called FABE (Firefly Algorithm based on Bayesian Estimation) using the optimal moving direction calculated by Bayesian estimation as heuristic information The improved algorithms in this study are applied to numerical simulations of several classical test functions and compared with traditional FA and some other′s research are carried out The simulation results show that the proposed algorithms can well accelerate the convergence speed and improve the convergence accuracy…”
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Metaheuristic Algorithms for Optimization: A Brief Review by Vinita Tomar, Mamta Bansal, Pooja Singh

“…As a result, metaheuristics have become an increasingly important part of modern optimization, with a large number of algorithms emerging over the last two decades. The purpose of this study is to present a quick overview of these algorithms so that researchers may choose and use the best metaheuristic method for their optimization issues. …”
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Design of Laboratory Algorithm Model for Grid Backbone by HUANG Xiao-ming, CHE Jian-tao, FAN Bing, LI Xin-qi

“…According to different node weights and elements of the transmission network, different algorithm models can be used to conduct in-depth research on specific problems. …”
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Erythrodermic Mycosis Fungoides: The Algorithm of Diagnosis and Treatment by OYu Olisova, AA Sydikov, IN Chuprov, LG Gorenkova, SA Chernysh, VA Doronin, EV Grekova

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Subsampling Algorithms for Irregularly Spaced Autoregressive Models by Jiaqi Liu, Ziyang Wang, HaiYing Wang, Nalini Ravishanker

“…To overcome this challenge, subsampling algorithms are widely used to perform statistical analyses on smaller, more manageable subsets of the data. …”
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Generation Algorithms for Thévenin and Norton Equivalent Circuits by Mihaela Grib, Ioana-Gabriela Sirbu, Lucian Mandache, Marilena Stanculescu, Mihai Iordache, Lavinia Bobaru, Dragos Niculae

“…They use the symbolic computation of two simulation tools developed by our research team. The proposed algorithms are not limited by the operation behavior of the analyzed systems, being usable in both DC and AC circuits, as well as in transients. …”
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A Calibration Algorithm for Microelectromechanical Inertial Sensors by Nguyen Trong Yen, Nguyen Quoc Khanh, Ha Manh Thang

“…An algorithm for determining the calibration parameters of sensors regardless of the initial alignment of the sensor sensitive axes relative to a reference system was developed. …”
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Multifactor Algorithm for Test Case Selection and Ordering by Atulya Gupta, Rajendra Prasad Mahapatra

“…However, when examining the fault detection capacity along with other parameters, is required, the method falls short. The current research is motivated by this concept and proposes a multifactor algorithm incorporated with genetic operators and powerful features. …”
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Shor's Factoring Algorithm and Modular Exponentiation Operators by Robert L. Singleton Jr

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ALGORITHM FOR POST-BURN BACTERIAL SEPSIS DIAGNOSIS by B. V. Guzenko

“…The purpose of our work was to develop the algorithm of bacterial sepsis diagnosis in patients with severe burn disease. …”
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Big data technology for teaching quality monitoring and improvement in higher education - joint K-means clustering algorithm and Apriori algorithm by Yang Li, Haiyu Zhang

“…In order to cope with these challenges, the study proposes a research method of big data technology based on joint K-mean clustering algorithm and association rule mining algorithm. …”
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Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance by Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

“…The objectives of this research are threefold: (i) to determine the most effective nature-inspired algorithms for each case under consistent constraints, initial conditions, and using optimized parameters, (ii) to assess the success rate of penalty-vanishing terms concerning the penalized function versus the actual objective function, and (iii) to explore the impact of minor variations within a network on the behaviors, results, and profiles of penalty-vanishing terms. …”
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A time difference of arrival/angle of arrival fusion algorithm with steepest descent algorithm for indoor non-line-of-sight locationing by Chong Shen, Chengxiao Wang, Kun Zhang, Xianpeng Wang, Jing Liu

“…The proposed fusion algorithm with ultra-wideband baseband takes advantages from both time difference of arrival and angle of arrival algorithms, combined through the steepest descent algorithm. …”
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