A Novel Hybrid Methodology Based on Transfer Learning, Machine Learning, and ReliefF for Chickpea Seed Variety Classification by İbrahim Kılıç, Nesibe Yalçın

“…Chickpea seed varieties can currently be identified by domain experts; their reliability and efficiency depend on the experience and skills of experts and are prone to human error. The design of classification models with high accuracy to assist in selection mechanisms is required for chickpea varieties. …”
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10-Gb/s Long-Reach PON System With Low-Complexity Dispersion-Managed Coherent Receiver by R. Corsini, M. Presi, M. Artiglia, E. Ciaramella

“…Due to coherent detection, the receiver sensitivity was <inline-formula> <tex-math notation="LaTeX">$-38\ \text{dBm at bit error rate (BER)} = 1.8 \times 10^{-3}$</tex-math></inline-formula>. …”
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ACP-Based Space Systems: Design, Development, and Operation by Yingkai Cai, Qingliang Meng, Zhaokui Wang

“…Following adjustments made to the discrepancies between parallel systems under the ACP-based space system framework, the accuracy of missing orbit compensation improved by 86.5%, and the 24-hour forecast positional error was reduced by approximately 65 m. Furthermore, this paper discusses future trends, emphasizing the increasing efficiency and reliability of digitized, integrated, and adaptive space systems. …”
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Linear Approximation Processes Based on Binomial Polynomials by Octavian Agratini, Maria Crăciun

“…The fundamental tools used in error evaluation are the smoothness moduli and Peetre’s K-functionals. …”
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Textual Data Selection For Language Modelling In The Scope Of Automatic Speech Recognition by Freha Mezzoudj, David Langois, Denis Jouvet

“… The language model is an important module in many applications that produce natural language text, in particular speech recognition. …”
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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

“…After the model training, the prediction results are not simply evaluated with most widely used shallow metrics like the Mean Square Error (MSE), but thanks to the raster format of input and output results, some image similarity metrics such as Structural Similarity Index Measure (SSIM) and Learned Perceptual Image Patch Similarity (LPIPS) that are able to detect and consider spatial relations are used during the evaluation and interpretation process, because of their higher usefulness in mimicking human visual judgements. …”
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OT-PCA: New Key-Recovery Plaintext-Checking Oracle Based Side-Channel Attacks on HQC with Offline Templates by Haiyue Dong, Qian Guo

“…Our method addresses critical challenges in optimizing key-related information extraction, including maximizing decryption output entropy and ensuring error pattern independence, through the use of genetic-style algorithms. …”
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Applying a system dynamics approach for decision-making in software testing projects. by Wang Li, Chih-Chiang Fang

“…This includes factors such as resource allocation, testing efficiency, error detection rates, and the feedback loops among these elements. …”
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Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

“…The framework is validated through extensive experiments involving multiple aviation stakeholders, demonstrating a 23% improvement in fault detection accuracy and a 17% reduction in remaining useful life prediction error compared to conventional models. Results show the enhanced detection of rare but critical faults, improved maintenance scheduling accuracy, and effective risk assessment across distributed aviation datasets. …”
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Assessment of Molecular Imaging of Angiogenesis with Three-Dimensional Ultrasonography by Jason E. Streeter, Ryan C. Gessner, James Tsuruta, Steven Feingold, Paul A. Dayton

“…Molecular imaging (MI) with ultrasonography relies on microbubble contrast agents (MCAs) adhering to a ligand-specific target for applications such as characterizing tumor angiogenesis. …”
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Modeling Bus Passenger Flow Dynamics Using the Cell Transmission Model for Real-Time Congestion Management by Ala Alobeidyeen

“…Numerical experiments on Gainesville’s RTS network demonstrate the model’s accuracy in predicting passenger distributions, achieving a 4% mean absolute percentage error (MAPE) during peak hours (6:30–9:45 a.m.) and successfully identifying bottlenecks where densities exceed 85% of capacity. …”
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Interference Suppression Algorithm for Microthrust Measurement System Based on Particle Swarm Optimization Fuzzy PID by Liye Zhao, Xiaolu Xiong, Mingming Han

“…Micronewton thrusters have a wide range of applications in the aerospace field, and the accuracy of micronewton thrust measurement is directly affected by environmental vibration. …”
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Improved Phase Diversity Wavefront Sensing with a Deep Learning-Driven Hybrid Optimization Approach by Yangchen Wang, Ming Wen, Hongcai Ma

“…Simulation and experimental results indicate that the proposed method achieves an RMS wavefront error below 0.05λ within [−0.5λ, 0.5λ] and exhibits a certain level of generalization up to [−0.7λ, 0.7λ]. …”
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Improved Image Security in Internet of Thing (IOT) Using Multiple Key AES by Khadeeja Gebor Salim, Saif M. Kh. Al-alak, Majid Jabbar Jawad

“…Image is an important digital information that used in many internet of things (IoT) applications such as transport, healthcare, agriculture, military, vehicles and wildlife. etc. …”
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Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines by ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, JIANG Shuang

“…An experimental platform is built to verify the results, and the reconstruction effect is evaluated using relative error. The research results indicate that although there is some differences between the reconstructed flow pattern obtained by the DMD based identification method for liquid-solid two-phase flow patterns and the true flow pattern, the differences is within an acceptable range and can objectively reflect the evolution process of liquid-solid two-phase flow patterns. …”
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Mathematical Modelling of a Friction Stir Welding Process to Predict the Joint Strength of Two Dissimilar Aluminium Alloys Using Experimental Data and Genetic Programming by Mohammed Yunus, Mohammad S. Alsoufi

“…It is mostly used in applications for aerospace, rail, automotive, and marine industries. …”
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An Unscented Kalman Filter-Based Method for Reconstructing Vehicle Trajectories at Signalized Intersections by Jiantao Mu, Yin Han, Cheng Zhang, Jiao Yao, Jing Zhao

“…Finally, the method is applied to the actual scenario provided by the NGSIM data and compared with the real trajectory. The mean absolute error (MAE) is adopted to evaluate the accuracy of the proposed trajectory reconstruction. …”
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Incremental Nonlinear Dynamics Inversion Control with Nonlinear Disturbance Observer Augmentation for Flight Dynamics by Lamsu Kim, Jeong I. Kim

“…The proposed NDO-based INDI control underwent simulations, together with an INDI controller without disturbance observer, and showed that the developed method results in better performances, providing important advantages where it compensates the uncertainties, removes the steady-state error, and shows less oscillating longitudinal body rate response than the baseline controller, desirable for aerodynamics applications with faster system response.…”
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Role of Steering Inequality in Quantum Key Distribution Protocol by Kaushiki Mukherjee, Tapaswini Patro, Nirman Ganguly

“…The characterization is based on the quantum bit error rate and violation of the CJWR inequality. …”
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Simulation Research on Position Sensorless Control and High-speed Restart of Permanent Magnet Synchronous Motor by CHEN Zhibo, GAO Jian, MEI Wenqing, SHANG Jing, HUANG Shoudao

“…Permanent magnet motors restart at high speeds is an essential and important function in applications in many key fields. Due to the unknown initial position of rotor and the observation error in this condition, improper control may cause current inrush or overcurrent fault. …”
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