An Advanced Method for Precise ULA SIMO Radar Calibration Utilizing Synthetic Aperture Radar Imaging Artifacts by Michael Braunwarth, Johanna Geiss, Erik Sippel, Martin Vossiek

“…The proposed method leverages the established theory of accumulating channel imbalances in synthetic aperture radar (SAR) processing, enabling the isolation of error power from the desired signal and noise within the image. …”
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Foundation Models and Fine-Tuning: A Benchmark for Out of Distribution Detection by Francesco Cappio Borlino, Lorenzo Lu, Tatiana Tommasi

“…The rise of foundation models is pushing Computer Vision research towards a paradigm shift, in the wake of what already happened in the Natural Language Processing field. …”
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Dynamic Gradient Descent and Reinforcement Learning for AI-Enhanced Indoor Building Environmental Simulation by Xiaolong Chen, Haohao Yang, Hongfeng Zhang, Cora Un In Wong

“…The core innovation lies in the time-varying optimization landscape, where a Transformer-based policy network modulates the learning process based on a reward signal that balances prediction accuracy and parameter stability. …”
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Low Temperature Characteristics of Ge-on-Si Waveguide Photodetectors: A Combined Simulation and Experimental Study by Jingchuan Liu, Zhenyu Li, Xiaofei Liu, Wentao Yan, Xingyan Zhao, Shaonan Zheng, Yang Qiu, Qize Zhong, Yuan Dong, Ting Hu

“…Benefiting from the progress of the germanium (Ge) epitaxy process on silicon (Si) substrates, waveguide-integrated Ge-on-Si photodetectors (PDs) have demonstrated decent performances in short-wave infrared (SWIR) detection. …”
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Designing streets for people: a multicriteria decision-making study by Luiz Fernando Kowalski, Érico Masiero, António Manuel Saraiva Lopes, Marcos dos Santos, Carlos Francisco Simões Gomes, Dragiša Stanujkić

“…WISP allows for assigning weights to criteria with robustness, computational effectiveness, and transparency. Conversely, AHP-Gaussian incorporates a sensitivity feature that lets decision-makers assign weights based on statistical analysis. …”
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Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction by Chao Wang, Ruogu Wang, Yuhan Lin, Jiafei Zhang, Xiaofei Xie, Zidan Zhao, Yunlin Xu

“…Limited by the number of parameters, the traditional linear fitting method has low computational efficiency and a large error, which brings difficulties to horizontal well production prediction. …”
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Dehydration of biomass charcoal briquette using a modified solar tunnel drying system: An experimental and CFD approach by Dagim Kebede Gari, Venkata Ramayya Ancha, Yetenayet Bekele Tola

“…However, its adoption is low due to many challenges, especially the drying process. Thus, this study examines the dehydration of biomass charcoal briquettes using an active-mode, double air-pass solar tunnel dryer, aiming to improve both drying efficiency and economic feasibility. …”
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A Fast Power Market Clearing Method Based on Active Constraints Identification by Deep Learning by Yunliang WU, Jianxin ZHANG, Bao LI, Peng LI, Zhiyong LI, Xin ZHOU, Yan YANG, Xiaowen LAI

“…Therefore, this paper proposes a fast clearing method for day-ahead power market based on the deep neural network. Firstly, a computation framework for SCED model based on deep neural network is designed, and embeds deep learning technology into the existing day-ahead power market clearing framework, which can effectively improve the solving speed of the SCED model without compromising precision. …”
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Diagnostic Methods Used in Detecting Multiple Myeloma in Paleopathological Research—A Narrative Review by Kinga Brawańska-Maśluch, Cyprian Olchowy, Grzegorz Mikita, Marta Wanat, Ada Świątko, Michał Krotliński, Martyna Byrska, Joanna Grzelak, Krzysztof Data, Paweł Dąbrowski

“…Radiological methods, including X-ray, magnetic resonance imaging, computed tomography (CT), and micro-CT, provided complementary insights. …”
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Digital fabrication of colors with colloidal crystals and colloidal glasses by Rahul Karyappa, Deepshikha Arora, Tzee Luai Meng, Qiang Zhu, Joel Yang, Hongfei Liu

“…The advent of digital manufacturing, in which additive manufacturing is combined with computer-aided design (CAD), can overcome some of the challenges in fabricating structures from colloidal particles. …”
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Study of the coefficient of friction and forward slip in cold rolling of stainless steel AISI 430 in Sendzimir mills by André C.M. Miranda, Carlos L. Neto, Wilian da S. Labiapari, Pedro Henrique R. Pereira, Paulo R. Cetlin, Ariel R. Arias

“…In addition, the finite element method is employed in the computational simulations using an Abaqus implicit model. …”
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Discrete Cosine Transform-Based Joint Spectral–Spatial Information Compression and Band-Correlation Calculation for Hyperspectral Feature Extraction by Ziqi Zhao, Changbao Yang, Zhongjun Qiu, Qiong Wu

“…However, this process can yield extracted features with lost spectral information. …”
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Like a Complete Unknown: An Audit of the Quality of the Referrals to the Cancer of Unknown Primary Clinic at a Tertiary Care Centre by Ian Hirsch, Jonah Teich, Khaled Abdulalem, Samuel D. Saibil

“…This study marks the initial phase of the Knowledge-to-Action cycle, highlighting areas for quality improvement in the referral process to the CUP clinic.…”
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Chromen Derivatives: A Detailed Experimental and Theoretical Investigation as Corrosion Inhibitors For Mild Steel in HCL 1M by A. Larioui, I. Chaouki, F. Hamouche, A. El Amri, N. Errahmany, F. El Hajri, S. El Hamzi, N. Dkhireche, S. El Bakkali, S. Boukhris

“…The electrochemical characteristics of these two heterocyclic compounds were evaluated using electrochemical tests, SEM and EDX surface characterization analyses, and theoretical studies using a multiscale computational approach (including DFT, MCS, FFV, and RDF). …”
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Channel component correlation analysis for multi-channel EEG feature component extraction by Wenqiang Yan, Wenqiang Yan, Qi Luo, Chenghang Du

“…IntroductionElectroencephalogram (EEG) analysis has shown significant research value for brain disease diagnosis, neuromodulation and brain-computer interface (BCI) application. The analysis and processing of EEG signals is complex since EEG are nonstationary, nonlinear, and often contaminated by intense background noise. …”
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A Lightweight Network for Water Body Segmentation in Agricultural Remote Sensing Using Learnable Kalman Filters and Attention Mechanisms by Dingyi Liao, Jun Sun, Zhiyong Deng, Yudong Zhao, Jiani Zhang, Dinghua Ou

“…However, the spectral noise caused by complex light and shadow interference and water quality differences, combined with the diverse shapes of water bodies and the high computational cost of image processing, severely limits the accuracy of water body recognition in agricultural watersheds. …”
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Application of the Integral Energy Criterion and Neural Network Model for Helicopter Turboshaft Engines’ Vibration Characteristics Analysis by Serhii Vladov, Maryna Bulakh, Denys Baranovskyi, Eduard Kisiliuk, Victoria Vysotska, Maksym Romanov, Jan Czyżewski

“…It averages the assessment of unique signal processing algorithms, which ensures reliable defect classification under flight vibration conditions. …”
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ACD-Net: An Abnormal Crew Detection Network for Complex Ship Scenarios by Zhengbao Li, Heng Zhang, Ding Gao, Zewei Wu, Zheng Zhang, Libin Du

“…The CFA effectively reduces system computational overhead and improves the success rate of identity recognition. …”
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AI-Driven Improvements in Electrochemical Biosensors for Effective Pathogen Detection at Point-of-Care by Inderpreet Singh, Asmita Gupta, Chansi Gupta, Ashish Mani, Tinku Basu

“…Smartphones are often used as interfaces for portable electrochemical devices, the proposed framework can leverage the computational capabilities of smartphones to run the DAE model for processing electrochemical signals in real-time, thus making it compatible with fully point-of-care solution. …”
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A Novel Concept of High-Voltage Balancing on Series-Connected Transistors for Use in High-Speed Instrumentation by Alexandr Despotuli, Viacheslav Kazmiruk, Anastasia Despotuli, Alexandra Andreeva

“…The goals of the new design are to achieve an exceptionally high level of HV balancing in modes (2) and (3), as well as to simplify the process of configuring/customizing the circuit. Testing confirms that new generators exhibit minimal ripple during ON→OFF transients. …”
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