Unsupervised SAR Image Segmentation Based on a Hierarchical TMF Model in the Discrete Wavelet Domain for Sea Area Detection by Jiajing Wang, Shuhong Jiao, Lianyang Shen, Zhenyu Sun, Lin Tang

“…The multiscale likelihood and the multiscale energy function are constructed to capture the intrascale and intrascale dependencies in a random field (X,U). To model the SAR data related to radar backscattering sources, the Gaussian distribution is utilized. …”
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Fabrication of Long‐Lasting Superhydrophilic Anti‐Fogging Film Via Rapid and Simple UV Process by Jae Hwan Jung, Yu Bin Kang, Chungryong Choi

“…To address these issues, a highly durable anti‐fogging film that lasts over five weeks, even under high moisture conditions, while maintaining a promising degree of transparency (> 60%) is developed. A novel statistical random copolymer containing superhydrophilic and photo‐crosslinkable segments that can be simultaneously crosslinked and chemically bonded to various substrates via a simple ultraviolet (UV) irradiation process is synthesized. …”
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Pengaruh Pelatihan Komunikasi ISOBAR (Identify, Situation, Observations, Background, Assesment, Recommendation) Terhadap Pengetahuan dan Kualitas Pelaksanaan Timbang terima di RS... by Candra Deni Mairosa, Rizanda Machmud, Jafril

“…The technique of taking samples was systematic random sampling. The sample in this study was the team leader and the person in charge of the shift with a total of 23 intervention groups and 18 control groups. …”
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Study habits among Nigerian secondary school students with brain fag syndrome by Olufemi Morakinyo, Bolanle Adeyemi Ola

“…Five hundred students from six schools in Ile-Ife were selected using a stratified random sampling technique. The selected students completed the Socio-demographic Data Schedule, the Brain Fag Syndrome Scale, and Bakare’s Study Habit Inventory. …”
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PharmRL: pharmacophore elucidation with deep geometric reinforcement learning by Rishal Aggarwal, David R. Koes

“…With this algorithm, we show better prospective virtual screening performance, in terms of F1 scores, on the DUD-E dataset than random selection of ligand-identified features from co-crystal structures. …”
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Physical and sensory properties of meltique beef steak injected with virgin coconut oil emulsion by Apriantini Astari, Cipta Dainy Nunung, Humayrah Wardina, Nurzahra Kania, Lesa Aditia Edit

“…This study employed a completely random design. Sensory evaluation was conducted using the hedonic test and sensory attribute profiling technique with 25 initiated panellists. …”
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Pengaruh media pembelajaran papan ludo dalam meningkatkan hasil belajar ilmu pengetahuan sosial sekolah dasar by Wan Putri Azizah Harahap, Eka Yusnaldi

“…Penelitian ini menggunakan dua kelompok yang dipilih secara tidak random yang selanjutnya diberikan Pre-Test dan Post-Test agar mengetahui kondisi awal dan perbedaan antara kelompok eksperimen dan kelompok kontrol. …”
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Problem-Based Learning in Pharmaceutical Education: A Systematic Review and Meta-Analysis by Tais F. Galvao, Marcus T. Silva, Celiane S. Neiva, Laura M. Ribeiro, Mauricio G. Pereira

“…Meta-analyses of the outcomes were performed using a random effects model. Results. From 1,988 retrieved records, five were included in present review. …”
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Assessment of Underground Water Contamination and Effect of Textile Effluents on Noyyal River Basin In and Around Tiruppur Town, Tamilnadu by A. Geetha, P. N. Palanisamy, P. Sivakumar, P. Ganesh Kumar, M. Sujatha

“…Twenty six sampling locations were selected at random and the ground water samples were collected mostly from tube wells at Noyyal River basin in and around Tiruppur area. …”
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Evaluation of Building Seismic Capacity Based on Improved Naive Bayesian Algorithm by Yalong Li, Wei Wang, Bin Tan, Hongxia Wang

“…In order to improve the generalization ability and avoid overfitting, the K-SMOTE algorithm for mixed sampling was modified to improve sample balance, and random k-fold cross validation method was used for sample division and model optimization, achieving the determination of seismic capacity level of building. …”
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Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques. by Mahade Hasan, Farhana Yasmin, Md Mehedi Hassan, Xue Yu, Soniya Yeasmin, Herat Joshi, Sheikh Mohammed Shariful Islam

“…In response to this need, we applied nine machine learning algorithms XGBoost, logistic regression, decision tree, random forest, k-nearest neighbors (KNN), support vector machine (SVM), gaussian naïve bayes (NB gaussian), adaptive boosting, and linear regression to predict heart disease based on a range of physiological indicators. …”
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Simulation-Based Evaluation of Variation in Left-Turn Paths in the Coordinated Intersection Management by Menglin Yang, Hao Yu, Lu Bai

“…The theoretical PET with the nominal path and the actual PET with the random path are calculated for each conflict event. …”
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Lessons to be Learned for Gastroenterology from Recent Issues in Clinical Trial Methodology by C Ohmann, J Albrecht

“…Randomized trials are the preferred tool for patient-oriented research, and their main role is to enable the transfer of results from basic research to routine application. …”
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The individual and contextual determinants of the use of telemedicine: A descriptive study of the perceptions of Senegal's physicians and telemedicine projects managers. by Birama Apho Ly, Ronald Labonté, Ivy Lynn Bourgeault, Mbayang Ndiaye Niang

“…Physicians were selected using purposeful random sampling; managers through snowball sampling. …”
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Toward A Smart City Pontianak: A Study of Digital Governance Effectiveness As A Moderator of The Relationship Between Work Culture, HR Management, and Public Satisfaction by Sulaiman Sulaiman, Andjani Trimawarni, Endang Wahyuni, Yunika Depri Listiana

“…The research method used is quantitative research with an explanatory survey approach, involving 378 respondents selected through a proportional stratified random sampling method. Data collection was conducted using a structured questionnaire, and data analysis was carried out using Structural Equation Modeling (SEM) techniques processed with the SmartPLS version 4.0 application. …”
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Cardiac MR image reconstruction using cascaded hybrid dual domain deep learning framework. by Madiha Arshad, Faisal Najeeb, Rameesha Khawaja, Amna Ammar, Kashif Amjad, Hammad Omer

“…This paper introduces a dual-domain deep learning approach that incorporates multi-coil data consistency (MCDC) layers for reconstructing cardiac MR images from 1-D Variable Density (VD) random under-sampled data. The proposed hybrid dual-domain deep learning models integrate data from both the domains to improve image quality, reduce artifacts, and enhance overall robustness and accuracy of the reconstruction process. …”
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PREVALENCE OF RISK OF KYPHOTIC POSTURE AMONG LAPTOP USERSACADEMICIANS USING OCCIPUT WALL DISTANCE TEST by Ariba Sohail et al

“…Methodology: An observationalstudy was conducted. The simple random technique was used to select 100 participants. …”
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Enhancing Image-Based JPEG Compression: ML-Driven Quantization via DCT Feature Clustering by Shahrzad Sabzavi, Reza Ghaderi

“…Experimental evaluations were conducted on 1800 random images using this machine learning-based approach. …”
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Computer Vision-Based Drowsiness Detection Using Handcrafted Feature Extraction for Edge Computing Devices by Valerius Owen, Nico Surantha

“…These are integrated with traditional machine learning models, such as Support Vector Machines, Random Forests, and XGBoost. These models were chosen for their ability to process detailed information from facial landmarks, head poses, PERCLOS, and POM. …”
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Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…Alongside the SVM, a random forest (RF) and a Gaussian process classifier (GPC) were used to examine the effect of entropy derivation from different classifiers while assessing feature robustness. …”
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