An Educational Approach to Higgs Boson Hunting Using Machine Learning Classification Algorithms on ATLAS Open Data by Ayşe Bat

“…In order to discover a solution to the binary classification problem that was discussed earlier, six distinct classification algorithms were utilized. This article also compares the performance of these classification algorithms, including Linear Support Vector Machines (SVM), Radical SVM, Logistic Regression, K-Nearest Neighbours, XGBoost Classifier, and the AdaBoost Classifier. …”
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A Maximum Power Point Tracking (MPPT) Strategy Based on Harris Hawk Optimization (HHO) Algorithm by Dabin Jia, Dazhi Wang

“…To address the multi-peak characteristics of the P-U output characteristic curve when the photovoltaic array is partially shaded, a Maximum Power Point Tracking (MPPT) method combining Harris Hawk optimization, and a variable step conductance increment method is proposed in this article. Although the Harris Hawk Optimization algorithm has advantages in optimizing multi-modal P-U curves, when the lighting conditions suddenly change, the output characteristic curve will undergo drastic changes, causing the algorithm to oscillate repeatedly at the maximum power point. …”
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OS-PCMM: Automatic Registration Algorithm for Optical and SAR Image Based on Phase Congruency and Multimoment Feature by Yuan Liang, Tao Su, Ruiqiu Wang, Jiangtao Liu

“…However, the significant differences in noise characteristics and radiometric properties between the two types of images remain major challenges for achieving accurate registration. In this article, we propose an automatic registration algorithm for optical and SAR images based on phase congruency and multimoment features. …”
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A novel pixel antenna by using a genetic algorithm for Wi-Fi 6E applications by Kayhan Çelik, Bekir Dursun, Javed Iqbal

“…It is a novel pixel patch antenna optimized by a metaheuristic optimization algorithm for Wi-Fi 6E applications. The shape of the radiating patch is determined using genetics, which is a basic algorithm based on population to achieve wideband operation. …”
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Network heterogeneous information integrated management system based on improved RNN multi-source fusion algorithm by LI Lin, WANG Wei

“…Therefore, an improved information integration management system is proposed. The article adopted the wild horse optimizer (WHO) algorithm to improve the recurrent neural network (RNN) and designed a multi-source heterogeneous data fusion model. …”
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Heart failure with preserved ejection fraction (HFpEF): phenotypes, diagnostic algorithms, and new therapeutic options by Arnold Péter Ráduly, Máté Balázs Kovács, Máté Balázs Kovács, Attila Borbély

“…The H2FPEF score and the HFA-PEFF algorithm can help to estimate the probability of HFpEF. …”
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Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks by Masood Ahmad, Ataul Aziz Ikram, Rabo Lela, Ishtiaq Wahid, Riaz Ulla

“…Cluster-based routing is the energy-efficient technique in mobile ad hoc networks to address the scalability issue and to minimize control messages. In this article, honey bee algorithm is used for dividing the mobile ad hoc network nodes into different clusters. …”
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Mixed Grover: A Hybrid Version to Improve Grover's Algorithm for Unstructured Database Search by Romain Piron, Muhammad Idham Habibie, Claire Goursaud

“…In this article, we propose a new strategy to exploit Grover's algorithm for unstructured search problems. …”
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Genetic algorithm–optimized support vector machine for real-time activity recognition in health smart home by Yan Hu, Bingce Wang, Yuyan Sun, Jing An, Zhiliang Wang

“…Besides, the feature representation techniques used for offline activity recognition are generally not suitable for online scenarios. In this article, the authors propose a real-time online activity recognition approach based on the genetic algorithm–optimized support vector machine classifier. …”
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A Computationally Efficient MUSIC Algorithm with an Enhanced DOA Estimation Performance for a Crossed-Dipole Array by Hao Nan, Xiaofeng Ma, Yubing Han, Weixing Sheng

“…In this article, an improved real-valued dimension-reduction MUSIC (IRDR-MUSIC) algorithm is proposed for a crossed-dipole array. …”
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An Improved Parametric Polar Format Algorithm for Missile-Borne SAR Imaging With a Dive and Curve Trajectory by Zirui Xi, Zhichao Meng, Guanyong Wang, Lei Zhang, Xinshuo Wang, Jingyue Lu

“…Due to the 2-D spatial variability of the range model during the missile-borne synthetic aperture radar (SAR) flight along a dive and curve trajectory, the accuracy of traditional algorithms is limited. In this article, a new improved parametric polar format algorithm (IPPFA) is proposed to process missile-borne SAR imaging with a dive and curve trajectory. …”
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High Impedance Fault Location in Distribution Systems: A Novel Approach With Enhanced Metrics and Intelligent Algorithms by Gabriela Nunes Lopes, Pedro I. N. Barbalho, Jose Carlos Melo Vieira, Denis V. Coury

“…Despite of the numerous papers addressing HIFs, there is still a lack of consensus on the most effective metrics and techniques for their detection and location. This article proposes a comprehensive analysis aiming to identify the adequate metrics for artificial intelligent algorithms to locate HIFs in a DS in the presence of DG. …”
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Risk management strategies for fuel shortages in economic dispatch with multiple fuel options using walrus algorithm by Mahmoud Ibrahim Mohamed, Ali M. Yousef, Ahmed A. Hafez

“…The study evaluates its effectiveness in solving ED problems under various operating conditions using the Walrus Optimization Algorithm (WaOA), ensuring a thorough and reliable assessment. …”
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Fog Offloading and Task Management in IoT-Fog-Cloud Environment: Review of Algorithms, Networks, and SDN Application by Mohammad Reza Rezaee, Nor Asilah Wati Abdul Hamid, Masnida Hussin, Zuriati Ahmad Zukarnain

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A preference random walk algorithm for link prediction through mutual influence nodes in complex networks by Kamal Berahmand, Elahe Nasiri, Saman Forouzandeh, Yuefeng Li

“…Local random walk is considered to be one of the most well-known algorithms in the category of quasi-local methods. It traverses the network using the traditional random walk with a limited number of steps, randomly selecting one adjacent node in each step among the nodes which have equal importance. …”
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Microgrid anti islanding protection scheme based on deep neural network algorithm and unscented Kalman filtering by Sohaib Tahir Chauhdary, Taha Saeed Khan, Saad Arif, Ayaz Ahmad, Munam Ali Shah, Jamel Baili

“…Abstract Microgrid anti-islanding protection (MAIP) is an indispensable challenge in ensuring the safe and reliable operation of microgrids. This research article proposes the unscented Kalman filtering (UKF) and deep neural network algorithm (DNN) as an innovative approach to detect and prevent islanding events in microgrids. …”
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A lifetime-enhancing cooperative data gathering and relaying algorithm for cluster-based wireless sensor networks by G Pius Agbulu, G Joselin Retna Kumar, A Vimala Juliet

“…Therefore, to attain further enhanced performance among the current schemes, a lifetime-enhancing cooperative data gathering and relaying algorithm for cluster-based wireless sensor networks is proposed in this article. …”
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Notification of suspicion on the web page of the General Prosecutor’s Office and in the newspaper “Uryadovyi Kurier”: requirements and algorithm of publication by A. V. Hutnyk

“…The study is aimed at analysing the legal acts establishing the procedure for publishing notices of suspicion on the website of the Prosecutor General’s Office and in the newspaper “Uryadovyi Kurier” and notices of suspicion already published in these sources, determining the requirements for them and developing an algorithm for publication for prosecutors and investigators. …”
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DANCER: The routing algorithm in delay tolerant networks based on dynamic and polymorphic combination of dimensions and energy consideration by Jianxin Jia, Guangzhong Liu, Dezhi Han

“…The result of the simulation demonstrates that DANCER outperforms benchmark routing algorithms in the respect of average delay, packets hit rate, and routing cost.…”
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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The article presents an adaptive genetic algorithm developed by the authors, which makes it possible to optimize the topology of a power network with distributed generation. …”
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