Maintenance Time Prediction for Predictive Maintenance of Ship Engines by Seunghun Lim, Jungmo Oh, Jinkyu Park

“…Therefore, an efficient maintenance system is necessary for stable, economical ship operation. Researchers are attempting to equip ships with predictive maintenance technology, which is used proactively in other modes of transportation to predict the maintenance time of machines through data monitoring and analysis. …”
Get full text

Artificial Intelligence Driving Innovation in Textile Defect Detection by Ahmet Ozek, Mine Seckin, Pinar Demircioglu, Ismail Bogrekci

“…By addressing the challenges and opportunities these advancements present, this study serves as a comprehensive resource for researchers and industry professionals seeking to harness AI in optimizing textile production and quality assurance amidst the ongoing digital transformation.…”
Get full text

POSITIVE CONFIRMED PREDICTION OF COVID-19 IN EAST JAVA USING COUNT TIME SERIES BASED DOUBLE POISSON INAR(p) PROCESS by A'yunin Sofro, Framitha Septian Subiantoro, Khusnia Nurul Khikmah

“…It is proven by the number of new cases on January 15, 2021, in East Java, reaching 12818 cases. This is why researchers predict the number of positive cases of COVID-19 in East Java so that the Government can anticipate an increase in the number of COVID-19 patients. …”
Get full text

Autonomous Ride-Sharing Services in the United States: A Scoping Review of Policies, Implementation, Performance and Market Penetration by Isabelle Wandenkolk, Sherrilene Classen, Audrey Williams

“…These findings provide insights for researchers, transportation planners, and policymakers, guiding the development of evidence-based strategies to foster a sustainable transportation future.…”
Get full text

Recent advances in journal bearings: wear fault diagnostics, condition monitoring and fault diagnosis methodologies by Nazik Jebur, Wafa Soud

“…Collaborative efforts among researchers are essential for developing robust and broadly applicable diagnostic models. …”
Get full text

Evaluation of concordance between measurement techniques using graphical methods and regression models with an application by Doğukan Özen

“…<p> <b>Materials and Methods: </b>A total of 84 thymus tissue specimens provided by a researcher in the field were included in the study. …”
Get full text

Using dead-reckoning to track movements and map burrows of fossorial species by James Redcliffe, Jesse Boulerice, Itai Namir, Rory Wilson, William J. McShea, Hila Shamon

“…Abstract Background Researching the movement patterns of fossorial animals and mapping of burrow systems presents a significant challenge due to the difficulty of direct observation and the limitations of most tracking systems to collect location fixes underground. …”
Get full text

Training of the feed-forward artificial neural networks using butterfly optimization algorithm by Şaban Gülcü, Büşra Irmak

“…The values of the weights and biases in ANN are updated according to inputs and outputs. Researchers have proposed algorithms to train Multi-Layer Perceptron (MLP). …”
Get full text

Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…Additionally, characteristics including bit error rate (BER), power spectral density (PSD), probability of detection (pd), and probability of false alarm (pfa) were researched and evaluated for 500 and 1000 samples. …”
Get full text

NATIONAL SEISMIC, RADAR AND SEISMOLOGICAL STUDIES OF SUBGLACIAL LAKE VOSTOK by S. V. Popov, V. N. Masolov, V. V. Lukin, A. M. Popkov

“…Sorokhtin started the geophysical researches in this area in 1950s. Satellite altimetry data, which analyzed in 1990s yielded to the discovering of the LakeVostok. …”
Get full text

Credit rating prediction with ESG data using data mining methods by Murat Doğan, Muhammed Aslam Chelery Komath, Özlem Sayilir

“…Abstract The development of an adequate credit rating model and credit risk prediction represents a difficult challenge for researchers. Considering the theoretical importance of corporate sustainability performance in the credit rating process, we aimed to develop a data mining model to predict the credit rating of companies, by incorporating ESG data to traditional accounting and financial measures with a sample of 6622 firms. …”
Get full text

Single scores in the RT-based value-driven attentional capture paradigm have high reliability by Chung-Yi Shih, Shuo-Heng Li, Ming-Chou Ho

“…RT-based VDAC measures are reliable when using individual scores, while data-limited accuracy measures may require more challenging tasks to effectively capture VDAC. We suggest that researchers in the experimental approaches use single scores instead of difference scores to improve reliability, as they have lower measurement error and higher between-participant variance. …”
Get full text

The Effectiveness of the Example and Non-Example Learning Model Incorporating Horseshoeing Tools on the Third-Grade Elementary School Students’ Learning Interest by Manderika Pekei, Anni Malihatul Hawa

“…To address this issue, the researcher proposes the Example and Non-Example learning model supported by Horseshoeing tools to enhance students' learning interest. …”
Get full text

Real-Time Progress Monitoring of Bricklaying by Ramez Magdy, Khaled A. Hamdy, Yasmeen A. S. Essawy

“…Improvements in deep learning and Computer Vision (CV) algorithms provide promising results in detecting objects in real time. Also, researchers have investigated the probability of using CV as a tool to create a Digital Twin (DT) for construction sites. …”
Get full text

Parameter Extraction for Photovoltaic Models with Flood-Algorithm-Based Optimization by Yacine Bouali, Basem Alamri

“…Accurately modeling photovoltaic (PV) cells is crucial for optimizing PV systems. Researchers have proposed numerous mathematical models of PV cells to facilitate the design and simulation of PV systems. …”
Get full text

Predicting Marshall stability and flow parameters in asphalt pavements using explainable machine-learning models by Ibrahim Asi, Yusra I. Alhadidi, Taqwa I. Alhadidi

Get full text

Machine learning models for predicting interaction affinity energy between human serum proteins and hemodialysis membrane materials by Simin Nazari, Amira Abdelrasoul

“…These interactions may trigger adverse reactions, potentially harmful to patients. Researchers often rely on trial-and-error approaches to enhance membrane hemocompatibility by reducing these interactions. …”
Get full text

FMCW-based contactless heart rate monitoring by Zhanjun Hao, Yifei Gao, Yangyang Tang, Yue Wang, Kai Fan, Fenfang Li

“…To achieve real-time, non-contact heartbeat monitoring, researchers have introduced millimeter-wave radar technology. …”
Get full text

On nonlinear coupled differential system for heat transfer in magnetized enclosure with T-shaped baffle by using machine learning by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

“…It is well consensus among researchers that the constructing mathematical model for heat transfer problems results set of coupled nonlinear partial differential equations (PDEs) and the solution in this regard gets a challenging task. …”
Get full text

Mathematical Modeling Approach to Assessing Math Education Levels in Secondary and High Schools: Pandemic Impact and Post-Pandemic Projections by Sakar Ismael Gharib, Bilgen Kaymakamzade, Ahmet Karahan, Murat Tezer

“…There are 10,323 teachers in public schools and 694 in private schools, and this sample size is more than the 371 participants that are needed for statistical purposes (based on Cochran’s formula at a 95% confidence level and a 5% margin of error). A scale consisting of thirteen 5-point Likert-type questions was developed by researchers for data collection, and mathematical modeling techniques were employed. …”
Get full text