Negative Binomial Regression Model Estimation Using Stein Approach: Methods, Simulation, and Applications by Bushra Ashraf, Muhammad Amin, Walid Emam, Yusra Tashkandy, Muhammad Faisal

“…Results from both simulations and real applications demonstrate the superior performance of the proposed estimator over the RE, LE, and MLE.…”
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A versatile family of distributions: Log-linear regression model and applications to real data

“…The ExpG-M model's parameter was estimated using both maximum likelihood estimation (MLE) and Bayesian estimation (BE) methods with a square error loss function, also assessed through Monte Carlo simulation studies. …”
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Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications by Jiace Sun, Lixue Cheng, Shi-Xin Zhang

“…Stabilizer states, which are also known as the Clifford states, have been commonly utilized in quantum information, quantum error correction, and quantum circuit simulation due to their simple mathematical structure. …”
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WRTU-16T: Write-Enhanced Low-Power Radiation-Tolerant SRAM for Space Applications by Seung-Hyun Lee, Sung-Hun Jo

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Enhancing predictive modeling across industries with automated machine learning: applications in insurance and agriculture by K. P. Swain, S. K. Mohapatra, Santosh Kumar Sahoo

“…Additionally, we employed TPOT for crop prediction using a Kaggle-based agricultural dataset, demonstrating its application in supporting Sustainable Development Goals (SDGs) related to agriculture. …”
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Liquid Chromatography/Tandem Mass Spectrometry Method for Quantitation of Cremophor EL and Its Applications by V. Vijaya Bhaskar, Anil Middha

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Low-Cost Microalgae Cell Concentration Estimation in Hydrochemistry Applications Using Computer Vision by Julia Borisova, Ivan V. Morshchinin, Veronika I. Nazarova, Nelli Molodkina, Nikolay O. Nikitin

“…Accurate and efficient estimation of microalgae cell concentration is critical for applications in hydrochemical monitoring, biofuel production, pharmaceuticals, and ecological studies. …”
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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…In radiology, AI aims to assist with image analysis and interpretation, potentially reducing human error and alleviating the radiological workload. …”
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An adaptive non-equidistant grey model with four parameters and its applications in deformation monitoring by Shuang Yang, Changchun Li, Jiao Fu, Huanqin Ma

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Comprehensive Insights into Smart Contracts: Architecture, Sectoral Applications, Security Analysis, and Legal Frameworks by Farah Mazlan, Nur Faizah Omar, Nik Nor Muhammad Saifudin Nik Mohd Kamal, Ahmad Anwar Zainuddin

“…Most conventional contract systems have issues with middlemen, drawn-out implementation procedures, fraud risk, and human error. Considering this, the project uses smart contract technology to provide a decentralized, automated, and safe solution in an effort to address such inefficiencies and the trust issues they raise. …”
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Numerical investigation of bandgap characteristics in integrated metallic metafilters for nonlinear guided wave applications by Mohammed Aslam, Boris I, Jaesun Lee

“…The defect localization technique, based on the time difference of arrival of second-order wave modes, accurately predicts the defect location with an error margin of less than 0.2%. The present investigation showcases advancements in the sensitivity of nonlinear-based guided wave testing for characterizing microstructural changes, promising substantial potential for detecting incipient damage in practical structural health monitoring applications.…”
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Innovative Control Techniques for Enhancing Signal Quality in Power Applications: Mitigating Electromagnetic Interference by N. Manoj Kumar, Yousef Farhaoui, R. Vimala, M. Anandan, M. Aiswarya, A. Radhika

“…Electromagnetic interference (EMI) remains a difficult task in the design and operation of contemporary power electronic systems, especially in those applications where signal quality has a direct impact on the overall performance and efficiency. …”
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Lightweight AES Design for IoT Applications: Optimizations in FPGA and ASIC With DFA Countermeasure Strategies by Salman Ahmed, Nabihah Ahmad, Nasir Ali Shah, Ghulam E. Mustafa Abro, Ardhi Wijayanto, Abdinasir Hirsi, Abdul Rehman Altaf

“…In addition, the study reviews DFA countermeasures that highlight fault detection methods, error detection levels, protection positions, and associated design overheads such as area, frequency, and throughput penalties, with special consideration for resource-constrained IoT devices. …”
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Wireless Sensor Networks for Urban Development: A Study of Applications, Challenges, and Performance Metrics by Sheeja Rani S., Raafat Aburukba, Khaled El Fakih

“…This survey dives into the challenges faced in urban areas and explores how WSN applications can help overcome these obstacles. The diverse applications of WSNs in urban settings discussed in this paper include gas monitoring, traffic optimization, healthcare, disaster response, and security surveillance. …”
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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

“…This review also addresses critical issues such as data quality, ethical concerns, privacy, and the need for transparency in AI applications. By shifting the focus from reactive to proactive injury management, AI technologies contribute to enhanced athlete safety, optimized performance, and reduced human error in medical decisions. …”
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Thermal analysis and experimental design of PVDF-trfe-based pyroelectric sensors for infrared applications by Mohamed Behloul, Essaid Bousbiat, Dalila Yamani, Riyadh Bouddou, Nour Eddine Derguini, Ayodeji Olalekan Salau, Djamel Kendil, Sarra Adiche

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Aspect-Oriented Approach of Non-Functional Requirements for Embedded System-Based IoT Applications by Anirban Bhar, Sabnam Sengupta, Sankhayan Choudhury

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Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…To validate the theoretical findings and study the applicability of the algorithms across diverse problem classes, extensive numerical experiments were conducted to calculate the main sensitivity indicators—Sobol’ global sensitivity indices. …”
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Numerical solution of the viscoelastic wave equation by Galerkin spectral element method by Jalil Rashidinia, Feze Barzegar

“…The computational efficiency of the method is confirmed through a numerical example, which shows that the method is effectively applicable.…”
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A numerical technique for solving neutral Hilfer fractional differential equation with constant delay using Legendre wavelet method by Kanagaraj Muthuselvan, Nachiappan Nithya, Fahad Aljuaydi, Kottakkaran Sooppy Nisar

“…Additionally, we present a convergence analysis and error estimation for the truncated Legendre wavelet expansion in the context of the proposed method. …”
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