Adversarial denoising of EEG signals: a comparative analysis of standard GAN and WGAN-GP approaches by Imad Eddine Tibermacine, Samuele Russo, Francesco Citeroni, Giuseppe Mancini, Abdelaziz Rabehi, Amal H. Alharbi, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Christian Napoli, Christian Napoli, Christian Napoli

“…The demonstrated improvements in signal quality underscore the promise of adversarially trained models for applications ranging from basic neuroscience research to real-time brain–computer interfaces (BCIs) in clinical or consumer-grade settings. …”
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A Novel Connected-Components Algorithm for 2D Binarized Images by Costin-Anton Boiangiu, Giorgiana-Violeta Vlăsceanu, Constantin-Eduard Stăniloiu, Nicolae Tarbă, Mihai-Lucian Voncilă

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Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis by Omneya Attallah

“…This study presents a computer-aided diagnostic (CAD) framework that integrates multi-domain features through a hybrid methodology. …”
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If We were Allowed to Visit: The Procrustean Interface and Media Trauma by Margarita M. Skomorokh

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Accuracy Characteristics of the Parametric Burg Method for Spatial Signal Processing in a Nonuniform Array Antenna by V. M. Kutuzov, M. A. Ovchinnikov, E. A. Vinogradov

“…In the case of a nonuniform (NU) design of the antenna elements (AEs) of the receiving antenna array (AA), the antenna pattern (AP) features sidelobes (SL) with a significantly higher noise level than acceptable values. …”
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A numerical study on the optimization of the slit shape of a jet injection propeller by Jun-Hee Lee, Ju-Han Lee, Myeong-Min Kim, Dohan Oh, Kwang-Jun Paik

“…The jet pattern changed according to the area of the slit and tunnel, leading to a change in propeller performance. …”
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CHRONIC OBSTRUCTIVE PULMONARY DISEASE WITH EMPHYSEMA AND GIANT BULLAE IN A SMOKER by Zh. V. Sheykh, E. V. Nikolaev, I. E. Tyurin, K. G. Zhestkov, V. G. Alekseev, V. V. Poddubnyy, A. V. Arablinskiy, Ya. R. Gazaryan, S. V. Klimko, K. V. Myshkin, O. O. Kurzantseva

“…Radiation diagnosis in evaluating chronic obstructive pulmonary disease (COPD) is used to distinguish clinically similar diseases and to identify concomitant pathological changes. Highresolution computed tomography (HRCT) is employed for detailed analysis of the status of the lung. …”
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Modeling the inside defect of the jet cavitator by A. I. Ukolov, V. P. Rodionov

“…The work objective is to identify the influence pattern of the inside defect of cavitators of various sizes on the hydrodynamic and cavitational characteristics of the nozzle through numerical modeling. …”
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Melorheostosis: The Incidental Finding of a Rare Bone Dysplasia in the Mandible on Panoramic and CBCT Images - A Case Report by Prasanthi Sitaraman, Ravleen Nagi, Arvind Muthukrishnan

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Neurophysiological predictors of deep learning based unilateral upper limb motor imagery classification by Justin Sonntag, Lin Yu, Xilu Wang, Thomas Schack

“…IntroductionMotor imagery-based brain-computer interfaces (BCIs) are a technique for decoding and classifying the intention of motor execution, solely based on imagined (rather than executed) movements. …”
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Real-Time Object Detection Using Low-Resolution Thermal Camera for Smart Ventilation Systems by Jun-Hee Lee, Eung-Tea Kim

“…These challenges are particularly pronounced when using low-resolution thermal sensors, where object boundary ambiguity and thermal pattern uncertainty become significant obstacles. …”
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Research and implementation of network transmission situation awareness by ZHUO Ying, GONG Chun-ye, GONG Zheng-hu

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Abnormal sagittal patellar tilt during active knee flexion and extension on 4DCT might be associated with patellofemoral pain by Yurou Chen, Xin Liu, Bo Sheng, Mao Yuan, Furong Lv, Fajin Lv, Fan Yu, Jia Li

“…This study was to analyze the pattern of sagittal patellar tilt in patellofemoral pain (PFP) patients by four-dimensional computed tomography (4DCT). …”
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Predictive value of enhanced CT and pathological indicators in lymph node metastasis in patients with gastric cancer based on GEE model by Ling Yang, Yingying Ding, Dafu Zhang, Guangjun Yang, Xingxiang Dong, Zhiping Zhang, Caixia Zhang, Wenjie Zhang, Youguo Dai, Zhenhui Li

“…Abstract Objectives A predictive model was developed based on enhanced computed tomography (CT), laboratory test results, and pathological indicators to achieve the convenient and effective prediction of single lymph node metastasis (LNM) in gastric cancer. …”
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Non-Monotonic Effect of Substrate Inhibition in Conjunction with Diffusion Limitation on the Response of Amperometric Biosensors by Romas Baronas

“…The non-monotonic behavior of amperometric enzyme-based biosensors under uncompetitive and noncompetitive (mixed) substrate inhibition is investigated computationally using a two-compartment model consisting of an enzyme layer and an outer diffusion layer. …”
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A CFD-Based Correction for Ship Mass and Longitudinal Center of Gravity to Improve Resistance Simulation by Ping-Chen Wu

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Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

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Aggregated approach for interstitial lung diseases classification using attention based CNN and radial basis function neural network by S. Kumarganesh, K.V.M. Shree, P. Rishabavarthani, C. Ganesh, S. Anthoniraj, B. Thiyaneswaran, Lam Dang, K. Martin Sagayam, Linh Dinh, Hien Dang

“…This study proposes an automated approach for identifying Interstitial Lung Diseases (ILD) using biomedical images. Computed Tomography (CT) biomedical images were used for analysis. …”
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Reducing the air temperature inside the simple structure greenhouse using roof angle variation by Krit Tashoo, Pichai Namprakai, Ratanachai Pairintra, Sirichai Thepa

“…This investigation considers the flow pattern and temperature distribution in an empty greenhouse with a dimension of 48 m2 by using the computational fluid dynamic technique, CFD, as a tool for the study. …”
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Frequency-Decoupled Dual-Stage Inverse Lithography Optimization via Hierarchical Sampling and Morphological Enhancement by Jie Zhou, Qingyan Zhang, Haifeng Sun, Chuan Jin, Ji Zhou, Junbo Liu

“…This approach reduces computational complexity while refining resolution progressively. …”
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