Bootstrap Confidence Intervals for the Parameter of the Poisson-Sujatha Distribution and Their Applications to Agriculture by Wararit Panichkitkosolkul, ch Ponkaew

“…Moreover, the effectiveness of the bootstrap confidence intervals was proven through their application to agricultural data sets. The calculations offer significant evidence in favor of the suggested bootstrap confidence intervals.…”
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Bayesian Network in Structural Health Monitoring: Theoretical Background and Applications Review by Qi-Ang Wang, Ao-Wen Lu, Yi-Qing Ni, Jun-Fang Wang, Zhan-Guo Ma

“…The Bayesian network, as a probabilistic reasoning tool, offers a novel technological pathway for SHM due to its strengths in handling uncertainties and multi-source data fusion. This study systematically reviews the core applications of the Bayesian network in SHM, including damage prediction, data fusion, uncertainty modeling, and decision support. …”
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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

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Perceptions of artificial intelligence in healthcare curricula: insights from a nationwide survey of medical students by Ahlam Almusharraf, Abdul Khalique Shaikh, Razaz Waheeb Attar, Osama Alwassil

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Cloud computing convergence: integrating computer applications and information management for enhanced efficiency by Guo Zhang

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Impact of an adaptive environment based on learning analytics on pre-service science teacher behavior and self-regulation by Yousri Attia Mohamed Abouelenein, Shaimaa Abdul Salam Selim, Tahani Ibrahim Aldosemani

Subjects: “…Data science applications in education…”
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A Lightweight Encryption Method for IoT-Based Healthcare Applications: A Review and Future Prospects by Omar Sabri, Bassam Al-Shargabi, Abdelrahman Abuarqoub, Tahani Ali Hakami

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zk‐STARKs based scheme for sealed auctions in chains by Li Wei, Liang Peili, Li Fei

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Integrating Digital Twin Software Solutions with Collaborative Industrial Systems: A Comprehensive Review for Operational Efficiency by David A. Guerra-Zubiaga, Murat Aksu, Gershom Richards, Vladimir Kuts

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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

Subjects: “…topological data analysis…”
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Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications by Ondrej Krejcar, Ondrej Krejcar, Hamidreza Namazi, Hamidreza Namazi

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Leveraging dual‐blockchain collaboration for logistics supply chain supervision by Licheng Lin, Senshan Pan, Pujie Jing, Xiangmei Song

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Technology and Application Development of Medical Foundation Model by Xiaohong Chen, Liu Liu, Yige Yuan, Junpu Wang, Dayuan Li, Jianhua Qiu

“…Moreover, application challenges of the medical foundation model are identified in terms of data security, technical risks, implementing challenges, and ethics. …”
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Application Placement in the Cloud Continuum With Resource Overbooking by Ivan Mongiardo, Luisa Massari, Maria Carla Calzarossa, Belen Bermejo, Daniele Tessera

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A New Zero–Inflated Regression Model with Applications to Australian Health Survey and Biochemistry Graduate Students Data by Caner Tanış, Mahmoud M. Mansour, Enayat M. Abd Elrazik, Christophe Chesneau, Hazem Al-Mofleh, Ahmed Z. Afify

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A Synthetic Data Generation Approach With Dynamic Camera Poses for Long-Range Object Detection in AI Applications by Misbah Bibi, Anam Nawaz Khan, Muhammad Faseeh, Qazi Waqas Khan, Rashid Ahmad, do-Hyeun Kim

“…Accurate long-range object detection is essential for applications such as security and surveillance. However, existing datasets often lack the complexity needed to represent real-world outdoor environments, resulting in limited performance of object detection algorithms at extended distances.Synthetic data generation offers a way to address these limitations by creating varied and realistic training scenarios. …”
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Correction to: A robust implicit Jungck iterative scheme: stability, data dependency, and applications to nonlinear integral equations by Kapil Kumar, Hind Alamri, Vivek Kumar, Faik Gürsoy, Ioannis K. Argyros, Nawab Hussain

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A Rule Based Feature Selection Approach for Target Classification in Wireless Sensor Networks with Sensitive Data Applications by Zhiyong Hao, Bin Liu

“…Hence, minimizing energy consumption of sensors while maintaining a given classification accuracy is a key problem in this research area, especially for sensitive data applications. This paper proposes a rule based feature selection approach rather than all-features approach that aims at increasing the energy efficiency of the system without losing much classification accuracy. …”
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Modified Two-Parameter Ridge Estimators for Enhanced Regression Performance in the Presence of Multicollinearity: Simulations and Medical Data Applications by Muteb Faraj Alharthi, Nadeem Akhtar

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Chitosan Biomedical Applications for the Treatment of Viral Disease: A Data Mining Model Using Bibliometric Predictive Intelligence by Worasak Klongthong, Veera Muangsin, Chupun Gowanit, Nongnuj Muangsin

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