Perbandingan Aplikasi Algoritma Kernel K-Means pada Graf Bipartit dan K-Means pada Matriks Dokumen- Istilah dalam Dataset Penelitian Covid-19 RISTEKBRIN by Budi Nugroho

“…The kernel matrix value that represents the similarity score between documents is used as input for the kernel k-means clustering algorithm, which provides the results of mapping research topics. …”
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Exploring the potential of German claims data to identify incident lung cancer patients by Josephine Kanbach, Nikolaj Rischke, Sabine Luttmann, Ulrike Haug

“…Methods Using the German Pharmacoepidemiological Research Database (GePaRD; claims data from ∼ 20% of the German population) we applied a previously developed algorithm which identifies incident LC patients and classifies them into advanced and non-advanced. …”
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Loan classification using logistic regression by U. I. Behunkou, M. Y. Kovalyov

“…The research results confirm that the application of the logistic regression algorithm for solving loan classification problems is appropriate. …”
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Deep neural network application in real-time economic dispatch and frequency control of microgrids by Liu Jun

“…Finally, a real-time integrated scheduling and control framework for microgrids is constructed. The research results showed that the IRPGC algorithm had an average error of less than 10−5 after 5,000 iterations. …”
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Implementasi Steganografi Gambar Menggunakan Algoritma Generative Adversarial Network by Khairunnisak Khairunnisak, Gilang Miftakhul Fahmi, Didit Suhartono

“…The results obtained are that the Generative Adversarial Network algorithm can be applied to create mock objects, and images can revive based on training data which is a model for how the algorithm works. …”
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Deep Reinforcement Learning Method for Wireless Video Transmission Based on Large Deviations by Yongxiao Xie, Shian Song

“…In scalable video transmission research, the video transmission process is commonly modeled as a Markov decision process, where deep reinforcement learning (DRL) methods are employed to optimize the wireless transmission of scalable videos. …”
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Recombining Features of Frequency Domain and Location for Machine Recognition of Sign Language by Sirous Tannaz

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A New Approach Based on the Learning Effect for Sequence-Dependent Parallel Machine Scheduling Problem under Uncertainty by Maryam Ebrahimi, Parviz Dinari, Mohamad Samaei, Rouhollah Sohrabi, Soheil Sherafatianfini

“…The results show that the hybrid algorithm can provide more substantial results than classical algorithms. …”
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Global Methane Retrieval, Monitoring, and Quantification in Hotspot Regions Based on AHSI/ZY-1 Satellite by Tong Lu, Zhengqiang Li, Cheng Fan, Zhuo He, Xinran Jiang, Ying Zhang, Yuanyuan Gao, Yundong Xuan, Gerrit de Leeuw

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Review of information hiding on Chinese text by Guohua WU, Lichun GONG, Lifeng YUAN, Ye YAO

“…Text information hiding is an important technology to protect the security and integrity of text content.The research progress of Chinese text information hiding was reviewed.According to the clue of Chinese text information hiding,the existing algorithms were divided into three categories,algorithms based on text images,algorithms based on text format and algorithms based on text content.The implementation process of each type of algorithm was elaborated and the advantages and disadvantages of the algorithm were analyzed.At the same time,their principles,embedded capacity and anti-attack capability was compared and analyzed.In addition,the problems existing in Chinese text information hiding technology was summarized,and the research trends were discussed in the future.It is expected to provide reference for research in this field.…”
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Throughput-Oriented Full-Duplex Cognitive Radio Network Parameter Optimization by Haibin Jiang, Zhiyong Yu, Jian Yang, Kai Kang

“…The FC makes a comprehensive judgment after summarizing the data through the fusion algorithm. In the secondary network with SU, throughput is an important index to measure the performance of the network. …”
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Application of the Modified Method of ant Colonies to Search for Rational Assignment of Employees to Tasks Using Fuzzy Sets by V. A. Sudakov, Yu. P. Titov

“…Various stopping algorithms of the modified ant colony method are considered.Materials and research methods. …”
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Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics by Yuzhen Wei, Siyi Yao, Feiyue Wu, Qiangguo Yu

“…Sweetness and acidity are the two most important indicators to evaluate cherry quality. In this research, hyperspectral imaging (380–1030 nm) technology was applied to visually detect the sweetness and acidity of cherry. …”
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Mining Local Specialties for Travelers by Leveraging Structured and Unstructured Data by Kai Jiang, Like Liu, Rong Xiao, Nenghai Yu

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Analysis of Tahfidz Program Entrance Examination Using C4.5 Method for Classification of Learning Groups in The Al-Mawaddah Region of Nurul Jadid Islamic Boarding School, Proboling... by Wahab Sya'roni, Yulia Sri Devi, Yanuar Ilmansyah

“… The tahfidz program aims to improve understanding and memorization of the Al-Quran in the Al-Mawaddah Region, Probolinggo, Indonesia, including those who organize the Tahfid Qur'an program. This research aims to increase the efficiency and accuracy of analyzing the Tahfid program entrance test results using the C4.5 Algorithm for study group classification and visualizing the results through a web-based interactive application using Streamlit. …”
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Optimizing Deep Learning Models with Improved BWO for TEC Prediction by Yi Chen, Haijun Liu, Weifeng Shan, Yuan Yao, Lili Xing, Haoran Wang, Kunpeng Zhang

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Study on the parameters of the matrix NTRU cryptosystem by LI Zichen, WU Qinghao, SONG Jiashuo, PENG Haipeng

“…With the rapid development of quantum computers， post-quantum cryptography has emerged as a prominent area of research in cryptography.ObjectivesIn order to avoid the decryption failure in matrix NTRU as NTRU， the Matrix NTRU algorithm was optimized.MethodsBased on the method of constraining the parameter space in congruent cryptographic algorithms， a method for optimal selection of the parameter space of matrix NTRU cryptographic regimes was proposed. …”
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Bayesian curriculum generation in sparse reward reinforcement learning environments by Onur Akgün, N. Kemal Üre

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Crowd navigation monitoring during emergencies by Oksana Tymoshchuk, Maksym Tishkov, Victor Bondarenko

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Improved PICEA-g-based multi-objective optimization scheduling method for distribution network with large-scale electric vehicles by Meiyi Huo, Songling Pang, Hailong Zhao

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