PRESTASI BELAJAR FIQH DITINJAU DARI MINAT DAN GAYA BELAJAR PADA SISWA MADRASAH DINIYYAH NURUL UMMAH PUTRI TAHUN 2016/2017 by Eva Latipah, Khusnul Khotimah

“…Sampling is done by purposive random sampling technique so that the sample is 60 students. …”
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Gambaran Karakteristik Pasien Stroke yang Mengalami Konstipasi Pasca Rawatan by Maria Valentina Sibarani, Rahmi Ulfah, Esi Afriyanti

“…This type of research is descriptive, the number of samples of 54 people taken by simple random sampling. The quosioener used to screen stroke patients is the National Institute of Health Stroke (NIHSS) and the Constipation Scoring System (CSS) for screening patients who experience constipation. …”
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An Angiotensin-converting Enzyme Inhibition Activity by Various Natural Approaches: A Statistic Review by Rupal K. Chhaniyara, Dhara A. Gamit

“…Additionally, a valid statistical analysis of data using a one-sample t-test on data that was collected at random and valued looks at whether the sample's mean is statistically different from or equal to a known or predicted mean value.…”
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Double adversarial attack against license plate recognition system by Xianyi CHEN, Jun GU, Kai YAN, Dong JIANG, Linfeng XU, Zhangjie FU

“…Recent studies have revealed that deep neural networks (DNN) used in artificial intelligence systems are highly vulnerable to adversarial sample-based attacks.To address this issue, a dual adversarial attack method was proposed for license plate recognition (LPR) systems in a DNN-based scenario.It was demonstrated that an adversarial patch added to the pattern location of the license plate can render the target detection subsystem of the LPR system unable to detect the license plate class.Additionally, the natural rust and stains were simulated by adding irregular single-connected area random points to the license plate image, which results in the misrecognition of the license plate number.or the license plate research, different shapes of adversarial patches and different colors of adversarial patches are designed as a way to generate adversarial license plates and migrate them to the physical world.Experimental results show that the designed adversarial samples are undetectable by the human eye and can deceive the license plate recognition system, such as EasyPR.The success rate of the attack in the physical world can reach 99%.The study sheds light on the vulnerability of deep learning and the adversarial attack of LPR, and offers a positive contribution toward improving the robustness of license plate recognition models.…”
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An improved sparrow search algorithm with multi-strategy integration by Zongyao Wang, Qiyang Peng, Wei Rao, Dan Li

“…Secondly, a new strategy inspired by the Coot algorithm, called the group follow strategy (GFS), is proposed to improve the ability to jump out of the local optimum. Finally, a proposed random opposition-based learning strategy (ROBLS) is applied to the population after each iteration to enhance its diversity. …”
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Morphological evidence supports splitting of species in the North Atlantic Sebastes spp. complex. by Ingrid Marie Bruvold, Agneta Hansen, Arve Lynghammar, Hannes Höffle, Tanja Hanebrekke, Caroline Aas Tranang, Kjell Nedreaas, Einar Nilssen, Atal Saha, Torild Johansen

“…The morphology of genetically assigned fishes from Norwegian and Greenland waters was investigated using traditional morphometric methods, applying Linear Discriminant Analysis and Random Forest classification procedures to identify and evaluate the performance of descriptive characters. …”
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Applicability Analysis of Machine Learning Model in Hydrological Forecasting in Karst Areas by ZHAO Zejin, SUN Wei, ZHOU Bin, ZHANG Xuan, WANG Gaoxu, WU Wei, LI Wenjie, YAO Ye

“…For hydrological forecasting in karst areas,existing research mainly uses hydrological models based on physical mechanisms,while rare research focuses on machine learning models.To explore the applicability of machine learning models in karst areas, this paper utilizes the LSTM model and random forest model to simulate the daily runoff and field floods at Tangdian hydrological station,using the Shadian River basin in Yunnan Province as the study area.The modified Xin'anjiang model for karst areas is taken as a reference.The results show that both the machine learning model and the modified Xin'anjiang model have achieved good results in simulating the daily runoff process, with the LSTM model showing better simulation results.In the simulation of floods,the modified Xin'anjiang model achieves Class A forecast accuracy.The machine learning models have better forecast results for the 6-hour forecasting period than the modified Xin'anjiang model,while the forecast results for the 24-hour forecasting period do not meet the accuracy requirements of the forecast operation.The study provides a reference for hydrological forecasting in karst areas by studying the characteristics and forecasting accuracy of two machine learning models and a hydrologic model.…”
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First ways to find out breast cancer by Breast Self-Examination (BSE) by Susi Muryani, Nurhakim Yudhi Wibowo, Prayogi Ning Tyastuti

“…The sample in this study was female students in grades 10 and 11, who were taken using the simple random sampling technique with as many as 78 respondents. …”
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A New Fractional-Order Map with Infinite Number of Equilibria and Its Encryption Application by Ahlem Gasri, Amina-Aicha Khennaoui, Adel Ouannas, Giuseppe Grassi, Apostolos Iatropoulos, Lazaros Moysis, Christos Volos

“…For the encryption process, random numbers were generated using the values of the fractional map. …”
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Investigating the factors that influence Chinese undergraduate students' sustained use of open source communities. by Xinyi Wang, Rafiza Abdul Razak, Siti Hajar Halili

“…This study aims to analyze the factors that influence the sustained use of open source communities among Chinese university students. The study used random stratified sampling to survey 803 undergraduate students in Yunnan Province. …”
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A Shared Interest Discovery Model for Coauthor Relationship in SNS by Xin An, Shuo Xu, Yali Wen, Mingxing Hu

“…In order to share one's sensitive data with random people without security and privacy concerns, this paper proposes a shared interest discovery model for coauthor relationship in SNS, named as coauthor topic (coAT) model, to identify the users with similar interests from social networks, and collapsed Gibbs sampling method is utilized for inferring model parameters. …”
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Computer Aided Diagnostic System for Blood Cells in Smear Images Using Texture Features and Supervised Machine Learning by Shakhawan Hares Wady

“…The framework combines the features extracted by Center Symmetric Local Binary Pattern (CSLBP), Gabor Wavelet Transform (GWT), and Local Gradient Increasing Pattern (LGIP), the data was then fed into machine learning classifiers including Decision Tree (DT), Ensemble, K-Nearest Neighbor (KNN), Naïve Bayes (NB), and Random Forest (RF)).  As the training set, the ALL-IDB2 database was utilized to create a balanced database with 260 blood smear images. …”
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Effects of Retrenchment on the Morale of Employees of Glo Nigeria Limited by Esther Isioma Ulebor

“…From a total of 1120 employees, 112 were selected using a stratified random selection approach. Semi-structured questions were developed based on the literature review and administered to respondents using the drop-and-pick method. …”
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Pricing Strategies in the Remanufacturing Market for the Uncertain Market Size in the Second Period by Liurui Deng, Shenggang Yang

“…Hence, we pay attention to the case in which the change rate of the market scale in the second period is random variable. We suppose that this rate satisfies uniform distribution on [0,2]. …”
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Faktor-Faktor Yang Mempengaruhi Kepuasan Kerja Perawat Di Rumah Sakit Siti Rahmah Padang by Dewi Murni, Sidaria, Annisa, Maharani

“…The sampling technique used is proportional stratified random sampling, which meets the sample criteria. …”
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A New Image Encryption Method Using an Optimized Smart Codebook by Rami Sihwail, Dyala Ibrahim

“…The smart codebook method divides an image into several segments based on image dimensions, and multiple random codebooks are generated for each segment. Moreover, images go through several processing stages before they are converted into cipher images, including noise, segmentation, and encryption. …”
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Inferring causal connectivity from pairwise recordings and optogenetics. by Mikkel Elle Lepperød, Tristan Stöber, Torkel Hafting, Marianne Fyhn, Konrad Paul Kording

“…Combined, these methods can estimate (causal) effective connectivity by exploiting the weak, approximately random signal resulting from the interaction between stimulation and the absolute refractory period of the neuron. …”
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The determinants of consumption poverty in Fitche Town of Oromia Regional State, Ethiopia by Getachew M. Kumssa

“…To this effect, two kebeles were randomly selected out of the seven kebeles of the town. …”
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Purification, Physicochemical Properties, and Epitope Analysis of Sarcoplasmic Calcium-Binding Protein from Penaeus vannamei by CHEN Wei, ZHOU Junjun, CHEN Yachun, JIA Yingmin, MA Aijin

“…The secondary structure of SCP consisted of 26% α-helix, 16.9% β-sheet, 17.5% β-turn, and 39.6% random coil. Eight epitopes in SCP were predicted and identified using bioinformatics tools combined with immunological techniques.…”
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Les noms de tranchées et de boyaux de la Grande Guerre en Champagne by Alain Devos, Pierre Taborelli, Robin Perarnau

“…Their astonishing diversity and their conventional random designation actually hide a spatial organization into groups of fire trench segments and communication trench or "quarters", of regimental and non-divisional origin. …”
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