Penerapan Algoritme Nearest Centroid Neighbor Classifier Based on K Local Means Using Harmonic Mean Distance (LMKHNCN) Untuk Klasifikasi Hasil Kinerja Pegawai Negeri Sipil by Adam Syarif Hidayatullah, Fitra Abdurrachman Bachtiar, Imam Cholissodin

“…This method is proven to have better performance compared to it original algorithm KNN. The method in this study has produced good classification performance. …”
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Pemeringkatan Pencarian pada Buku Pedoman Akademik Filkom UB Menuju Merdeka Belajar dan Free E-Book Pembelajaran Sebagai Prototype Local Smart Micro Search Engine Menggunakan Algor... by Imam Cholissodin, Akhmad Sa’rony, Rona Salsabila, Ilham Firmansyah, Guedho Augnifico Mahardika, Andreas Pardede, Zaien Bin Umar Alaydrus

“…The process of ranking the text can be solved by the PageRank algorithm, where documents that have the smallest ranking weight, have the most words in the document. …”
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ROUTE FIRST-CLUSTER SECOND METHOD FOR PERSONAL SERVICE ROUTING PROBLEM by MELİKE KÜBRA EKİZ, MUHAMMET BOZDEMİR, BURCU ÖZCAN TÜRKKAN

“…We used the Genetic Algorithm (GA) to improve the route and compared the results by creating different scenarios in clustering methods. …”
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BUCKLING OF BEAMS WITH A BOUNDARY ELEMENT TECHNIQUE by ABDERRAZEK MESSAOUDI, LASZLO PETER KISS

“…The eigenvalue issues can be reduced to algebraic eigenvalue problems, which are subsequently solvable numerically with the use of an efficient algorithm from the boundary element method. Within this article, the critical load findings of these beams are compared to those obtained using commercial finite element software, and the results are in excellent correlation. …”
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PROFILING OF THE HOB TOOL FOR WORM SHAFTS DEFORMATION by VIRGIL GABRIEL TEODOR, GEORGIANA-ALEXANDRA MOROSANU, NICUSOR BAROIU, RAZVAN SEBASTIAN CRACIUN, VIOREL PAUNOIU

“… The paper presents an algorithm for profiling the hob tool designed to generate by plastic deformation the worm shafts from the composition of worm-wheel gear type, used in the seat adjustment mechanisms of some Audi and Mercedes cars. …”
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Factors Influencing the Timing of the First HIV Virological Test for HIV Exposed Infants; A Cross Sectional Descriptive Study of HIV Positive Breastfeeding Mothers and their Infant... by Enos Mirembe, Masereka, Edson Musungu, Bwambale, Edson, Katsomyo, Clement, Munguiko

“…Introduction: Although Option-B plus has registered tremendous success in the Prevention of Mother to Child Transmission (PMTCT) of HIV, the failure to follow the HIV testing algorithm for HIV Exposed Infants (HEIs) after birth is likely to make achieving zero new HIV infections among children unrealistic. …”
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On the Estimation of k-Regimes Switching of Mixture Autoregressive Model via Weibull Distributional Random Noise by Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun

“…We developed and established a Weibull Mixture Autoregressive model of k-regimes via WMAR(k; p1, p2, , pk ) with Expectation-Maximization (EM) algorithm adopted as parameter estimation technique. …”
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Fréchet Random Noise for k-Regime-Switching Mixture Autoregressive Model by Rasaki, Olawale Olanrewaju, Anthony, Gichuhi Waititu, Nafiu, Lukman Abiodun

“…Fréchet Mixture Autoregressive (FMAR) model of k-regime-switching, denoted by FMAR(k; p1, p2 ,, pk ) was developed and Expectation-Maximization (EM) algorithm was used as a method of parameter estimation for the embedded coefficients of AR of k-mixing weights and lag pk. …”
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Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…Due to its capability to preserve past information, the LSTM algorithm was implemented as a time series forecasting model. …”
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Throughout Maximization for IRS-Assisted WPCN With Hybrid TDMA-NOMA Scheme by Yizheng Ma, Ruoyi Wu, Yi Zhang, Yupeng Shang, Linzhen Zhu

“…Additionally, the semi-closed-form expressions of IRS phase shifts during WET and WIT stages are iteratively achieved through Riemannian Manifold Optimization (RMO) and quadratic transformation (QT)-based Alternating Direction Method of Multipliers (ADMM) algorithms. Finally, the numerical results are demonstrated to highlight the effectiveness of the proposed algorithm, the optimal IRS phase shift design, and the optimal WET time scheduling design in comparison to the benchmarks.…”
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Klasifikasi Tenun Timor Menggunakan Metode SVM Berdasarkan Speeded Up Robust Features by Yoseph P.K. Kelen, Budiman Baso

“…In visual words with a cluster value of 500 with the SVM multi-class classification algorithm, namely the OVO (One Versus All) method using a linear kernel, the best results were obtained in this study with an accuracy level of 98.10%. …”
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Peningkatan Performa Komputasi Sistem Navigasi Transportasi Publik Pada Perangkat Bergerak Melalui Penerapan Teknik Kompresi Data dan Penyederhanaan Graf by Aryo Pinandito, Agi Putra Kharisma, Muhammad Aminul Akbar, Mochamad Chandra Saputra

“…The plans are generated from the implementation of Dijkstra's algorithm, which is modeled in the graph data structure. …”
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Optimal multiobjective design of an autonomous hybrid renewable energy system in the Adrar Region, Algeria by Abderrahmane Mehallou, Benalia M’hamdi, Abderrahmane Amari, Madjid Teguar, Abdelaziz Rabehi, Mawloud Guermoui, Amal H. Alharbi, El-Sayed M. El-kenawy, Doaa Sami Khafaga

“…This paper investigates four recent methodologies based on Multi-objective Particle Swarm Optimization (MOPSO), Multi-objective Ant Lion Optimizer (MOALO), Multi-objective Dragonfly Algorithm (MODA), and Multi-objective Evolutionary Algorithm (MOGA) to identify the optimal sizing of a microgrid (MG) integrated with hybrid renewable energy sources (RES). …”
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Cluster analysis of cutting technique—a valuable approach for assessing anterior cruciate ligament injury risk? by Lasse Mausehund, Anri Patron, Sami Äyrämö, Sami Äyrämö, Tron Krosshaug

“…Cluster analysis of cutting technique, using a K-means algorithm, did not prove to be a valuable approach for assessing ACL injury risk in this dataset.…”
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A comprehensive analysis of molecular characteristics of hot and cold tumor of gastric cancer by Chenxi Lv, Tianwei Chen, Jiangtao Li, Yuqiang Shan, Hong Zhou

“…Subsequently, 101 machine learning algorithm combinations were employed to construct a prognostic model based on the identified gene modules. …”
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Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning by Cheng Wang, Cheng Wang, Cheng Wang, Zhou Long, Zhou Long, Xiang-Dong Wang, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian

“…The overall detection accuracy of the model based on KNN, SVM and Randomforest algorithms is 92.86, 92.86 and 90.00%, respectively. …”
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Aplikasi Pertimbangan Wisata di Pulau Lombok dengan Metode Fuzzy Mamdani & Algoritma Genetika by Zainul Harir, Ida Bagus Ketut Widiartha, Royana Afwani

“…The defuzzification used is the Mean of Max (MOM). Genetic Algorithm (GA) is used in providing optimal budget allocation in traveling on Lombok IslandThe results of testing with manual calculations and different defuzzification models have 100% accurate, the application of GA obtained optimal budget allocation on crossover probability (pc) and mutation probability (pm) combination with (pc) 0.7 and (pm) 0.2. …”
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Existence, Uniqueness and Convergence Solution of Nonlinear Caputo-Fabrizio Fractional Biological Population Model by Ali Khalouta

“…Furthermore, we propose a new numerical algorithm called $\mathbb{J}$-decomposition method ($\mathbb{J}$-DM) which is a combined form of the $\mathbb{J}$-transform method and a new decomposition method to solve the proposed model. …”
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INTELLIGENT LIQUID LEVEL CONTROL OF A COUPLED NONLINEAR THREE TANK SYSTEM SUBJECTED TO VARIABLE FLOW PARAMETERS by MUSTEFA JIBRIL, MESAY TADESSE, NURYE HASSEN

“…The proposed controllers are designed with the same neural network architecture and algorithm. Comparison of the system with the proposed controllers for tracking a step and random level set points for a fixed and variable flow parameter and some good results have been obtained. …”
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Ecological modelling: A computational analysis of air pollution discourses in English print media of India and Pakistan. by Sana Rabbani, Fasih Ahmed

“…The study applied Latent Dirichlet Allocation (LDA), a robust algorithm for analyzing the large text corpus. The study underpinned Computational Grounded Theory, which relies on the fact that computation is a way to reveal the hidden meanings beyond the text. …”
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