TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process by Jianguo Dong, Xiaona Liu, Ruixian Su, Huimin Xu, Tianyu Yu

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Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Nida Aslam, Irfan Ullah Khan, Aisha Alansari, Marah Alrammah, Atheer Alghwairy, Rahaf Alqahtani, Razan Alqahtani, Maryam Almushikes, Mohammed AL Hashim

“…Four ML algorithms were utilized, including random forest (RF), logistic regression (LR), k-nearest neighbor (K-NN), and decision tree (DT). …”
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The use of technical vision in flexible production systems to determine coordinates of randomly located objects by K. V. Averkov, D. S. Makashin

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Evaluating Older Adults’ Engagement and Usability With AI-Driven Interventions: Randomized Pilot Study by Marcia Shade, Changmin Yan, Valerie K Jones, Julie Boron

“…Participants (N=50) were randomly assigned to 1 of 2 intervention groups (standard vs enhanced) to engage with routines delivered by the AI assistant Alexa (Amazon). …”
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Effects of movement behaviors on preschoolers’ cognition: a systematic review of randomized controlled trials by Catalina Pacheco, Victoria Culkin, Amelia Putkaradze, Nan Zeng

“…We conducted a systematic review of randomized controlled trials (RCTs) to evaluate the impact of interventions targeting PA, SB, and sleep on cognitive outcomes in preschool-aged children. …”
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Clinical outcomes of atrial fibrillation screening: a meta-analysis of randomized controlled trials by Ville Langén, Aleksi K. Winstén, K. E. Juhani Airaksinen, Konsta Teppo

“…Background Several randomized controlled trials (RCTs) have investigated the benefits of atrial fibrillation (AF) screening. …”
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Spatial localization and diffusion of Dirac particles and waves induced by random temporal medium variations by Seulong Kim, Kihong Kim

“…This universal phenomenon is independent of the initial pulse profile and the statistical properties of the random mass. Our findings demonstrate that random temporal variations can induce insulating behavior in Dirac materials, offering potential applications in solid-state physics and optics.…”
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E-commerce Service Chatbot Application Design using KNN and Random Forest Methods by Fardan Zamakhsyari

Subjects: “…Chatbot, E-Commerce, NLP, KNN, Random Forest…”
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A New Uncertain Analysis Method for the Prediction of Acoustic Field with Random and Interval Parameters by Mingjie Wang, Zhimin Wan, Qibai Huang

“…For the frequency response analysis of acoustic field with random and interval parameters, a nonintrusive uncertain analysis method named Polynomial Chaos Response Surface (PCRS) method is proposed. …”
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Distributed Intrusion Detection of Byzantine Attacks in Wireless Networks with Random Linear Network Coding by Jen-Yeu Chen, Yi-Ying Tseng

“…In this paper, a distributed algorithm is developed to effectively detect, locate, and isolate the Byzantine attackers in a wireless ad hoc network with random linear network coding (RLNC). To the best of our knowledge, our work is the first to address the problem of Byzantine failures in a wireless network with RLNC.…”
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Treatment of uterine fibroid: focus on endometrial receptivity. A pilot randomized prospective study by Yulia E. Dobrokhotova, Irina A. Lapina, Valeriia M. Gomzikova, Yury А. Sorokin, Eleonora T. Khatagova, Ayshan R. Allakhverdieva, Mariya A. Olkhovskaya

“…Materials and methods. A pilot randomized prospective study was conducted, which included 45 patients of reproductive age with UF sized less than 12 obstetric weeks, mostly intramural localization (types 3–6 according to the International Federation of Gynecology and Obstetrics). …”
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Long-term engagement in smoking cessation campaign: A mixed methods randomized trial. by Robert Schwartz, Tracey Borland, Maaz Shahid, Karen Kuzmich, Michael Chaiton

“…<h4>Methods</h4>3,199 Canadians who smoked cigarettes aged 35-64 recruited using Facebook and Instagram advertisements were randomized into Intervention and Control groups. Over the course of two years, Intervention Group participants received monthly emails connecting them to campaign news and activities, Mini Surveys to inform campaign refinement, feedback opportunities via focus groups and interviews, financial incentives, and proactive knowledge exchange presenting study findings. …”
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Safety, Immunogenicity, and Efficacy of Cytomegalovirus Vaccines: A Systematic Review of Randomized Controlled Trials by Manuela Chiavarini, Anita Genga, Giorgia Maria Ricciotti, Marcello Mario D’Errico, Pamela Barbadoro

“…<b>Methods</b>: According to the PRISMA guidelines (PROSPERO ID: CRD42024516601), a comprehensive literature search was conducted to identify all the randomized controlled trials that have evaluated the safety, immunogenicity, and efficacy of vaccine candidates compared to a placebo. …”
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A novel approach for estimation Population Mean with Dual Use of in Stratified Random Sampling by Mohammed R. Alzahrani, Mohammed Almohaimeed

Subjects: “…Stratified random sampling…”
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An individual, stochastic model of growth incorporating state-dependent risk and random foraging and climate by William Wolesensky, J. David Logan

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H∞ Networked Cascade Control System Design for Turboshaft Engines with Random Packet Dropouts by Xiaofeng Liu, Xu Sun

“…Typical turboshaft engine distributed controllers are designed based on the NCCS framework with H∞ state feedback under random packet dropouts. The sufficient robust stable conditions are derived via the Lyapunov stability theory and linear matrix inequality approach. …”
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Time and frequency domain models for multiaxial fatigue life estimation under random loading by Andrea Carpinteri, Andrea Spagnoli, Camilla Ronchei, Sabrina Vantadori

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Scale-Free Property for Degrees and Weights in a Preferential Attachment Random Graph Model by István Fazekas, Bettina Porvázsnyik

“…A random graph evolution mechanism is defined. The evolution studied is a combination of the preferential attachment model and the interaction of four vertices. …”
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Application of Feature Selection Based on Elastic Network and Random Forest in the Evaluation of Sports Effects by Lina Ren, Shen Cao

“…Around the difficult problems existing in the study of sports effect, given the limitations of existing data sets and traditional research methods, this paper starts from the data mining algorithm, builds the sports effect evaluation database, based on feature selection idea, using elastic network algorithm, random forest algorithm, and the influence of sports on the effect of physical indicators. …”
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Random fields and up scaling, towards a more predictive probabilistic quantitative hydrogeology by Noetinger, Benoît

“…Random fields are becoming a mature tool sharing applications in many area of physics, mechanics and geosciences. …”
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