Joint Flood Control Operation of Reservoirs in Xiaoshui Basin Based on DP-PS Algorithm by SHENG Dong, XU Xingyi, LIN Fanqi, HE Huaiguang, YUAN Yanmei, LUO Jinming

“…On this basis, the dynamic programming-pattern search algorithm (DP-PS) is introduced to solve the model, and the operation scheme under the most unfavorable flood scenario is obtained. …”
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Development of a Mobile-Based Application for Classifying Caladium Plants Using the CNN Algorithm by Rudy Chandra, Tegar Arifin Prasetyo, Heni Ernita Lumbangaol, Veny Siahaan, Johan Immanuel Sianipar

“…To overcome this problem, research will use machine learning with the Convolutional Neural Network (CNN) algorithm to build a mobile application that can accurately classify four types of Caladiums. …”
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Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by Wafiq Azizah, Soffiana Agustin

“…These findings underscore the efficacy of integrating HOG and Texture Moments with the Random Forest algorithm for automated batik pattern recognition.…”
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A Novel Method for Recognition of Bioradiolocation Signal Breathing Patterns for Noncontact Screening of Sleep Apnea Syndrome by Maksim Alekhin, Lesya Anishchenko, Alexander Tataraidze, Sergey Ivashov, Vladimir Parashin, Lyudmila Korostovtseva, Yurii Sviryaev, Alexey Bogomolov

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Update on Erythrodermic Psoriasis: Proposal of a Management Algorithm by an Innovative Severity Evaluation Approach by Xu JM, Wu C, Feng H, Jin HZ

“…Jia-Ming Xu,* Chao Wu,* Hao Feng, Hong-Zhong Jin Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing, People’s Republic of China*These authors contributed equally to this workCorrespondence: Hong-Zhong Jin, Email jinhongzhong@263.netAbstract: Erythrodermic psoriasis (EP) is an uncommon and severe form of psoriasis, which exhibits a Th1/Th17/TNF inflammatory pattern. …”
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Deformation-Related Data Mining and Movement Patterns of the Huangtupo Landslide in the Three Gorges Reservoir Area of China by Zhexian Liao, Jinge Wang, Gang Chen, Yizhe Li

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Similarity measure for intuitionistic fuzzy sets and its applications in pattern recognition and multimodal medical image fusion by Anjali Patel, Deepa Gupta, E. A. Gopalakrishnan, Divya Sasidharan, V. Sowmya, Mohammed Zakariah, Abdulaziz S. Almazyad

“…Abstract Intuitionistic fuzzy similarity measures (IFSMs) play a significant role in applications involving complex decision-making, pattern recognition, and image processing. Several researchers have introduced different methods of IFSMs, yet these IFSMs fail to provide rational decisions. …”
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Cluster Analysis of Clinical Remission and Relapse Patterns in Chronic Urticaria: Results from the PREDICT-CU Study by Maria-Magdalena Balp, Irina Pivneva, Andrii Danyliv, Kathleen Chen, Tom Cornwall, Jimmy Royer, James Signorovitch, Dhaval Patil, Ravneet K. Kohli, Thomas Severin, Weily Soong, Alexander M. Marsland

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IoT-enhanced music therapy: Utilizing genetic algorithms for personalized violin instruction and mental health adjustment by Yuan Wang

“…On the other hand, a genetic algorithm is an intelligent tool that reveals patterns in this information and identifies hidden relationships between instructional variables and the student’s mental health. …”
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Artificial intelligence in automatic image segmentation system for exploring recurrence patterns in small cell carcinoma of the lung by Jing Shen, Shaobin Wang, Hui Guan, Mingyi Di, Zhikai Liu, Qi Chen, Mei Li, Jie Shen, Ke Hu, Fuquan Zhang

“…Utilizing imaging recurrence data, this study applies a recursive feature elimination algorithm to model and predict patient prognoses, aiming to enhance clinical guidance and prediction accuracy.Materials and MethodsThis research analyzed data from SCLC patients who received curative radiotherapy from January 1, 2010, to December 30, 2021, and had comprehensive follow-up records including pre- and post-treatment imaging. …”
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A Comparative Study of Machine Learning Algorithms for Intrusion Detection Systems using the NSL-KDD Dataset by Rulyansyah Permata Putra, Amarudin Amarudin

“…In today’s digital era, cyberattacks are becoming increasingly complex, rendering traditional rule-based Intrusion Detection Systems (IDS) often ineffective in recognizing new attack patterns. The primary objective of this study is to design and implement a machine learning model for detecting network intrusions efficiently while minimizing latency, through a comparative analysis of several algorithms: Decision Tree, Random Forest, Support Vector Machine (SVM), and Boosting. …”
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Evaluation of GLOCK 9 mm Firing Pin Aperture Shear Mark Individuality Based on 3,156 Different Pistols (Manufactured Over a 30 Year Period in Two Countries) Using Additional Patter... by James E. Hamby, Eric Warren, Stephen Norris, Nicholas D.K. Petraco

“…A total of 3156 GLOCK firearms were used to generate a sample of the same size. Our research hypothesis was that no cartridge cases fired from different 9 mm semiautomatic GLOCK pistols would be mistaken as coming from the same gun (a false match). …”
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Patterns of changing surface climate variability from the Last Glacial Maximum to present in transient model simulations by E. Ziegler, E. Ziegler, N. Weitzel, J.-P. Baudouin, M.-L. Kapsch, U. Mikolajewicz, L. Gregoire, R. Ivanovic, P. J. Valdes, C. Wirths, K. Rehfeld, K. Rehfeld

“…A reanalysis of the LGM exhibits similar global mean variability to most of the ensemble, but spatial patterns vary. However, paleoclimate data assimilation combines model and proxy data information using a Kalman-filter-based algorithm. …”
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The use of artificial neural network algorithms to enhance tourism economic efficiency under information and communication technology by Yun Tian, Xiaojie Tang

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Novel metrics and LSH algorithms for unsupervised, real-time anomaly detection in multi-aspect data streams by Samira Khodabandehlou, Alireza Hashemi Golpayegani

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Sports data analysis of track and field athletes based on IID-OPK and NonIID-OPK algorithms by Xiaofeng Chen

“…Therefore, the research introduces the Independent and Identically Distributed (IID) and Non-Independent and Identically Distributed (NonIID) ideas based on the K-means algorithm to optimize the data analysis process. …”
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Toward Sustainable Campus Energy Management: A Comprehensive Review of Energy Management, Predictive Algorithms, and Recommendations by Noor Islam Jasim, Saraswathy Shamini Gunasekaran, Nouar AlDahoul, Ali Najah Ahmed, Ahmed El-Shafie, Mohsen Sherif, Moamin A Mahmoud

“…The paper states that to facilitate energy efficiency and manage consumption, it is important to extract patterns of energy consumption by data modelling and predictive algorithms to achieve the ultimate goal of consumption recommending and advising. …”
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High-Performance Number Theoretic Transform on GPU Through radix2-CT and 4-Step Algorithms by Alisah Ozcan, Arsalan Javeed, Erkay Savas

“…These algorithms are based on the radix-2 Cooley-Tukey (CT) and 4-Step techniques, which are rooted in classical FFT research. …”
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Machine learning based gut microbiota pattern and response to fiber as a diagnostic tool for chronic inflammatory diseases by Miad Boodaghidizaji, Thaisa Jungles, Tingting Chen, Bin Zhang, Tianming Yao, Alan Landay, Ali Keshavarzian, Bruce Hamaker, Arezoo Ardekani

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Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…For risk assessment and nursing value analysis, machine learning-based prediction using a multiagent reinforcement algorithm is employed. For improving the performance of the proposed system, we use spider monkey optimization (SMO) algorithm. …”
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