Analisis Performa Algoritma Decision Tree, Naive Bayes, K-Nearest Neighbor untuk Klasifikasi Zona Daerah Risiko Covid-19 di Indonesia by Ainurohmah Ainurrohmah, Dian Tri Wiyanti

“…The purpose of this study is to calculate the performance of each algorithm, get the best algorithm, and get the classification pattern from the best algorithm. …”
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Opportunities for Prevention of Complications in Intestinal Stoma Surgery by V. S. Groshilin, V. D. Kuznetsov, D. V. Kuznetsov, A. A. Pogosyan

“…To confirm the effectiveness of the proposed algorithm, an analysis of 52 clinical observations in patients who underwent surgeries with the formation of an end colostomy was carried out, which made up two clinical groups. …”
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Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipel... by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

“…While testing different feature extraction algorithms, a common neural network structure was used as the classification algorithm to compare the performance of the feature extraction algorithms. …”
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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

“…This technique is adaptive and can be improved through ongoing monitoring. The algorithm components are modular and upgradable thus future studies should optimize and test their generalizability using additional datasets.…”
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Optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions by Jiangtao Shen, Xinjing Wang, Ruixuan He, Ye Tian, Wenxin Wang, Peng Wang, Zhiwen Wen

“…Abstract Numerous surrogate-assisted evolutionary algorithms are developed for multi-objective expensive problems with low dimensions, but scarce works have paid attention to that with high dimensions, i.e., generally more than 30 decision variables. …”
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Pre-siting of UAV stations for traffic accident assessment considering road dispersion. by Sizhe Wang, Yanying Shang

“…To solve this problem, we improved the simulated annealing algorithm by combining the multi-neighborhood strategy, adaptive neighborhood size, and adding a taboo list, and verified the effectiveness of the algorithm. …”
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Implementasi Algoritma Random Forest Untuk Menentukan Penerima Bantuan Raskin by Ilham Kurniawan, Duwi Cahya Putri Buani, Abdussomad Abdussomad, Widya Apriliah, Rizal Amegia Saputra

“…The results obtained show that the random forest classification algorithm has precision, recall, f-measure values with a value of 97%, an accuracy value of 97.26% and an ROC value of 0.970, better than other classification algorithms, namely the difference of 5.11% with the support vector classification algorithm. machine and 8.87% with naive bayes classification algorithm. …”
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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…Abstract Initially, algorithms were only used for solving simple mathematical equations such as algebra, arithmetic, probability, and others that were mostly carried out manually and required quite a lot of time and effort as in the case of calculating the value of the time complexity of the algorithm with the formula model of T(n), both for non-recursive and recursive algorithms. …”
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Edge-level multi-constranint graph pattern matching with lung cancer knowledge graph by Houdie Tu, Lei Li, Lei Li, Zhenchao Tao, Zhenchao Tao, Zan Zhang, Zan Zhang

“…Despite their ability to return subgraphs quickly and accurately, these methods are limited to their applications without medical data research.MethodsIn order to overcome this limitation, based on the existing research on GPM with the lung cancer knowledge graph, this paper introduces the Monte Carlo method and proposes an edge-level multi-constraint graph pattern matching algorithm TEM with lung cancer knowledge graph. Furthermore, we apply Monte Carlo method to both nodes and edges, and propose a multi-constraint hologram pattern matching algorithm THM with lung cancer knowledge graph.ResultsThe experiments have verified the effectiveness and efficiency of TEM algorithm.DiscussionThis method effectively addresses the complexity of uncertainty in lung cancer knowledge graph, and is significantly better than the existing algorithms on efficiency.…”
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Impact of morphological traits and irrigation levels on fresh herbage yield of sorghum x sudangrass hybrid: Modelling data mining techniques. by Halit Tutar, Senol Celik, Hasan Er, Erdal Gönülal

“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”
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Parting gravity’s tail: quadrupole tails at fifth order and beyond via integer partitions by Alex Edison

“…The algorithm is employed to compute the tail-of-tail-of-tail-of-tail-of-tail (T5) contributions to the effective action and associated energy loss to gravitational waves. …”
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AUTOMATED CUTTING TOOLS SELECTION FOR BEARINGS COMPONENTS TURNING PROCESS by DAN GEORGE PRUTICA, GHEORGHE BRABIE, BOGDAN CHIRITA

“…Through the work presented in this paper an automated cutting tools selection algorithm for roughing and finishing turning has been realized. …”
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Implementasi Algoritme Morus V2 untuk Pengamanan Data Pada Perangkat Bluetooth Low Energy by Diah Ratih Destyorini, Ari Kusyanti, Reza Andria Siregar

“…The speed of this algorithm can reach 0.69 CPB, faster than other algorithms. …”
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ANALYSIS OF THE RESULTS OF SIMULATIVE MODELLING OF THE INFORMATION SECURITY SYSTEM IN THE CORPORATE NETWORKS OF HIGHER EDUCATION INSTITUTIONS by Vagif Gasimov, Balami Ismailov

“…Conducted experiments based on the proposed models and algorithm for analyzing the characteristics of the ISS from the UA as a single-phase multi-channel QS with unlimited waiting time for requests in the queue confirmed the expected results. …”
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Modeling, evaluation and forecasting of suspended sediment load in Kal-e Shur River, Sabzevar Basin, in northeast of Iran by M. A. Zangeneh Asadi, L. Goli Mokhtari, R. Zandi, M. Naemitabar

“…The study employs ensemble Bagging algorithms, the gradient boosting machine (GBM), genetic algorithm, Naïve Bayes algorithm, gradient boosting decision trees, and extremely randomized trees. …”
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Analisis Perbandingan Algoritma Djikstra, A-Star, dan Floyd Warshall dalam Pencarian Rute Terdekat pada Objek Wisata Kabupaten Dompu by Rusydi Umar, Anton Yudhana, Andi Prayudi

“…The results of testing the program obtained the same distance and route with different program processing time. Dijkstra algorithm processing time is 0.0060 seconds, A* algorithm is 0.0067 and Floyd Warshall algorithm is 0.0433 seconds. …”
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Modifikasi Fonem Vokal Pada Stemming Kata Tidak Baku by Ahmad Fikri Iskandar, Ema Utami, Wahyu Hidayat, Agung Prasetio Budi, Anggit Dwi Hartanto

“…This research will compare the results of the algorithm with the algorithm in previous research. …”
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Expectation-Maximization Aided Modified Weighted Sequential Energy Detector for Distributed Cooperative Spectrum Sensing by Mohammed Rashid, Jeffrey A. Nanzer

“…The estimated states are then used in mWSED to compute its test statistics, and the algorithm is referred to here as the EM-mWSED algorithm. …”
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Identification of Spectrally Similar Materials From Multispectral Imagery Based on Condition Number of Matrix by Maozhi Wang, Shu-Hua Chen, Jun Feng, Wenxi Xu, Daming Wang

“…The method is constructed based on the theory of condition number of matrix, and a theorem is proven as the foundation of the designed identification algorithm. Mathematically, the motivation behind designing this new algorithm is to decrease the condition number of the matrix for a linear system and, by doing so, to change an ill-conditioned system to a well-conditioned one. …”
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Verification of color characteristics of document images captured in uncontrolled conditions by I.A. Kunina, O.A. Padas, O.A. Kolomyttseva

“…To detect such an attack, we propose an algorithm based on the comparison of chromaticity histograms of presented color images of the document and the ideal template of this type of document. …”
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