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1101
Comprehensive Insights into Smart Contracts: Architecture, Sectoral Applications, Security Analysis, and Legal Frameworks
Published 2025-02-01“…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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1102
Numerical investigation of bandgap characteristics in integrated metallic metafilters for nonlinear guided wave applications
Published 2024-11-01“…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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1103
Innovative Control Techniques for Enhancing Signal Quality in Power Applications: Mitigating Electromagnetic Interference
Published 2025-05-01“…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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1104
Lightweight AES Design for IoT Applications: Optimizations in FPGA and ASIC With DFA Countermeasure Strategies
Published 2025-01-01“…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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1105
Wireless Sensor Networks for Urban Development: A Study of Applications, Challenges, and Performance Metrics
Published 2025-05-01“…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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1106
Application of the generalized point source method for solving boundary value problems of mathematical physics
Published 2017-06-01“…The dependences of the numerical solution error on the number of linear equations in the resulting system are obtained. …”
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1107
Development and application of a robotic coal analysis system for process control in coal preparation
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1108
Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods
Published 2024-11-01“…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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1109
Thermal analysis and experimental design of PVDF-trfe-based pyroelectric sensors for infrared applications
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1110
Precipitable Water Vapor Retrieval Based on GNSS Data and Its Application in Extreme Rainfall
Published 2025-07-01“…Hence, based on the GNSS observation data from July 2023, this study retrieves PWV using the Global Pressure and Temperature 3 (GPT3) model and evaluates its application performance in the “7·31” extremely torrential rain event in Beijing in 2023. …”
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1111
Aspect-Oriented Approach of Non-Functional Requirements for Embedded System-Based IoT Applications
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1112
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1113
Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis
Published 2025-04-01“…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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1114
Estimation of soil temperature for agricultural applications in South Africa using machine-learning methods
Published 2025-05-01“…The results showed that soil temperature at various depths can be reasonably estimated by different generic machine-learning models, with average Nash–Sutcliffe efficiency values ranging from 0.74 for decision tree to 0.87 for random forest models and root mean square error values of less than 2.79 °C for all models. …”
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1115
Parameter calibration and application of GTN damage model for girth weld in X80 pipeline
Published 2024-09-01“…A comparison of the four characteristic values of tensile stress, tensile strain, fracture stress, and fracture strain resulted in a maximum error not exceeding 10%. In the applicability verification for the model, the apparent toughness values of single edge notch tensile and single edge notch bending specimens were recorded at 0.399 3 and 0.324 2 respectively, corresponding to both final conversion rates of about 1.23. …”
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1116
Polar lights optimizer: A novel algorithm for accurate parameter estimation in proton exchange membrane fuel cells
Published 2025-09-01“…The experimental data shows that PLO application improves PEMFC system predictive accuracy and operational reliability and energy output performance.…”
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1117
Application of a Dynamic Exposure Population Toxicokinetic Model for Perfluorooctane Sulfonic Acid (PFOS) and Extension to Perfluorodecanoic Acid (PFDA) at a North American Beef Ca...
Published 2025-06-01“…Historical application of wastewater treatment sludge (biosolids) has introduced per- and polyfluoroalkyl substances (PFAS) into agricultural systems and led to contamination of crops and livestock. …”
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1118
A Nonlinear Compensation Method for Enhancing the Detection Accuracy of Weak Targets in FMCW Radar
Published 2025-02-01“…Although dechirp-based receiver architectures allow for low-sampling-rate signal acquisition, they require precise linearity in chirp signals, often necessitating precompensation for nonlinear errors. While most research addresses polynomial-based error correction, periodic errors remain underexplored, despite their potential to obscure weak targets and introduce spurious ones. …”
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1119
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