COVID-19 World Vaccination Progress Using Machine Learning Classification Algorithms by Nasiba M. Abdulkareem, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dathar A. Hasan

“…Weka is used to run tests on real-world data, and four output classification algorithms (Decision Tree, K-nearest neighbors, Random Tree, and Naive Bayes) are used to analyze and draw conclusions. …”
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Dynamic trajectories of land use and land cover changes in Lombok Island, West Nusa Tenggara, Indonesia by H. Oğuz Çoban, Miftahul Irsyadi Purnama

“…Utilizing Landsat satellite imagery and a combination of land cover classes from the Indonesian Ministry of Environment and Forestry (MoEF) with the machine learning-based Random Forest algorithm, we aimed to improve classification accuracy and model land cover transitions over time. …”
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Developing heuristic and meta-heuristic algorithms for the problem of joint order batching and collector routing in single and multiple-cross-aisle warehouses by Zahra Shamlou, Taha Keshavarz

“…The test results on the random data sets have shown that the genetic algorithm provides fast and effective solutions. …”
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Students’ English Speaking Anxiety Based on Personality Traits for Islamic Boarding School by Dessy Kurniasy, Rianty Susan

“…The population in this study were 120 students in the fifth grade student of MUQ Langsa where 92 students as the sample taken by using random sampling technique. The data were collected by “Mark Parkinson (1997) Personality Questionare” that consists of 16 statements and “Foreign Language Classroom Anxiety Scale (FLCAS)” by horwitz. et.al (1986) that consists of 33 statements. …”
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Optical Image Encryption Using Devil’s Vortex Toroidal Lens in the Fresnel Transform Domain by Hukum Singh, A. K. Yadav, Sunanda Vashisth, Kehar Singh

“…We have carried out a study of optical image encryption in the Fresnel transform (FrT) domain, using a random phase mask (RPM) in the input plane and a phase mask based on devil’s vortex toroidal lens (DVTL) in the frequency plane. …”
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Lady Clara Cavendish: Reynolds and Rymer’s Political Hoax by Rebecca L. Nesvet

“…This essay contends that Reynolds and Rymer’s Cavendish is not a random collection of pieces united merely by a byline. …”
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The influence of instructional leadership on learning motivation and student activity by Afriza Afriza, Syafaruddin Syafaruddin, Nurhasnawati Nurhasnawati, Khairina Khairina, A. Munir

“…The sample size of 71 respondents was determined using proportionate stratified random sampling. Data analysis includes validity testing of research instruments and regression analysis to measure the impact of instructional leadership on student motivation. …”
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Active Fault-Tolerant Control Based on the Fault of Electromagnetic Hybrid Active Suspension by Farong Kou, Jianghao Wu, Jian Gao, Dapeng Wu, Ruochen Chen

“…The performance of the suspension is simulated on random road and bumped road, respectively. The simulation results show that the fault-tolerant control effect of the three performance indexes of the suspension is good, and the ride comfort and safety of the suspension are improved. …”
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Instructional television and Nigerian students’ learning experiences: case for LASUBEB English language TV programmes by Bolajoko Margeret Tunde-Awe, Isaac Friday Emmanuel

“…A descriptive research design of the survey type was adopted for the study. Through simple and random sampling technique, two hundred and four (204) students were selected from the total population of 229,980 students in Lagos, Nigeria. …”
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Visual–Inertial Autonomous UAV Navigation in Complex Illumination and Highly Cluttered Under-Canopy Environments by Leyang Zhao, Weixi Wang, Qizhi He, Li Yan, Xiaoming Li

“…Furthermore, proposes a boundary sampling autonomous exploration algorithm and an advanced Rapidly exploring Random Tree (RRT) path planning algorithm. The objective is to enhance the reliability and safety of UAV operations beneath the forest canopy, thereby establishing a technical foundation for surveying vertically stratified natural resources.…”
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RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks by Muhammad Tanveer, Saud Alhajaj Aldossari

“…The security of the session is rigorously evaluated using formal methods, including Scyther and the random or real model, alongside informal approaches. …”
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Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text Synthesis by Jun-Min Lee, Tae-Bin Ha

“…Because natural language is composed of discrete tokens, a generator has difficulty updating its gradient through backpropagation; therefore, most text-GAN studies generate sentences starting with a random token based on a reward system. Thus, the generators of previous studies are pre-trained in an autoregressive way before adversarial training, causing data memorization that synthesized sentences reproduce the training data. …”
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THE USE OF THE DYNAMIC PROPERTIES OF SPECTRA OF SEQUENCES OF RADIO PULSES TO ENSURE HIGH SENSITIVITY OF THE TEST CONTROL WINDINGS OF ASYNCHRONOUS MOTORS by A. А. Sheinikov, Yu. V. Suchodolov

“…Thus, more appropriate is the selection of individual characteristic frequency components of the signal, which has high sensitivity to change of informative parameter of the measuring signal (for example, the time delay between two periodic sequences of pulses) and low sensitivity to random deviations in the signal due to instability in the functioning of the elements of the measuring circuits (for example, to deviation of the phase of the signal). …”
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Analisis perbedaan keterampilan komunikasi interpersonal siswa sekolah menengah atas berdasarkan gender by Nining Maizura, Diniy Hidayatur Rahman, Zamroni Zamroni

“…Sampel penelitian ini berjumlah 130, 65 siswa perempuan dan 65 siswa laki-laki dengan menggunakan teknik random sampling dalam pengambilan sampel. Hasil penelitian ini ditemukan bahwa tidak terdapat perbedaan secara signifikan keterampilan komunikasi interpersonal siswa laki-laki dengan perempuan. …”
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Prediction of water inrush from coal seam floor based on machine learning with small sample data by Chenxi LI, Haifeng LU

“…The influence rule of sample number on prediction accuracy was discussed, and the comparison study was conducted with the commonly used particle swarm, support vector machine, BP neural network, random forest and convolutional neural network. The results show that when the number of samples reaches 18, the prediction accuracy of KNN and GBDT+LR remains stable. …”
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Investigating Reliability of Duimenshan High Rock Slope in Gejiu, Yunnan Province Based on the Monte Carlo Method by A. Fa-You, Wan-cheng Pan, Wen-ping Wu, Shi-qun Yan

“…Secondly, the affecting parameters of the rock mass such as cohesion, internal friction angle, horizontal seismic acceleration coefficient, and water-filled depth coefficient are taken as random variables, and the failure probability of the slope and the failure index corresponding to different slope heights and slopes are obtained as the output parameter. …”
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Research on Power Producer’s Bidding Behavior Based on the Best-Response Dynamic Model by Jingqi Sun, Xiaochun Zhang, Sen Guo

“…The instable market constraint condition, nonsymmetric information, and a lot of random factors make the producer’s bidding process more complex. …”
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Structural Properties of Liquid SiC during Rapid Solidification by WanJun Yan, TingHong Gao, XiaoTian Guo, YunXiang Qin, Quan Xie

“…Threefold carbon atoms and fourfold silicon atoms are linked together by six typical structures and ultimately form a random network of amorphous structure. The simulated results help understand the structural properties of liquid and amorphous SiC, as well as other similar semiconductor alloys.…”
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Rural-Urban Labor Migration, Remittances, and Its Effect on Migrant-Sending Farm Households: Northwest Ethiopia by Haymanot Bassie, Teshome Sirany, Bizuayehu Alemu

“…The purpose of this research is to examine the impact of rural-urban labor migration and remittances on rural agricultural productivity. A rigorous random selection process was used to pick 480 households from cross-sectional data. …”
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Real-Time Integrated Limited-Stop and Short-Turning Bus Control with Stochastic Travel Time by Hu Zhang, Shuzhi Zhao, Yang Cao, Huasheng Liu, Shidong Liang

“…In a traditional transit system, passenger arrival time and bus running time are typically random and uncoordinated. This randomness gives the appearance of unbalanced passenger demand and unreliable transit services. …”
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