Robust Infrared–Visible Fusion Imaging with Decoupled Semantic Segmentation Network by Xuhui Zhang, Yunpeng Yin, Zhuowei Wang, Heng Wu, Lianglun Cheng, Aimin Yang, Genping Zhao

“…However, most of the available fusion methods have only been evaluated with subjective metrics of visual quality of the fused images, which are often independent of the following relevant high-level visual tasks. …”
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A Tool for Thyroid and Breast Punch Biopsy by Z. M. Sigal, O. V. Surnina

“…A novel punch biopsy method is developed basing on the oscillation amplitude and tissue optical density determination. …”
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Redesign of the user interface for the career development center (CDC) website, Telkom University Bandung by Ahmad Aqil Muntaz, I Dewa Alit Dwija Putra, Ananda Risya Triani

“…However, based on the results of the observation, issues were found on the website, including a user interface that is considered neither informative nor visually appealing. Considering the main function of this website is as a center for information and interaction among the academic community, a redesign of the CDC Telkom University website is necessary using a design thinking approach as the design method. …”
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A GPSR-Based Sparse ECG Signal Recovery Approach for Hybrid Compressive Sensing Framework and Its Classification Using Deep Convolution Neural Network by Subramanyam Shashi Kumar, Prakash Ramachandran

“…The proposed hybrid CS method performs better than the conventional non hybrid method for all the performance metrics and the classification results are better than other existing state of art methods for category 2) & 3). …”
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TI-RADS CLASSIFICATION SYSTEM AND ITS FIRST APPLICATION IN THE ULTRASOUND DIAGNOSIS DEPARTMENT IN THE MULTI-SPECIALITY HOSPITAL by A. A. Kvasova, A. N. Katrich

“…Ultrasonic examination is a most wide-spread method for thyroid gland visualizing and its structural pathology. …”
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Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

“…Manual segmentation is time-consuming and operator-dependent, fostering interest in automated methods. This study proposes an automated segmentation method based on a 3D U-Net convolutional neural network to segment the femur, tibia, and patella from low-field MRI scans. …”
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The Components of Effective Advertising Message of Candidates in Presidential Elections: A Case Study of Instagram by Ziba Amirkhani, Ali Akbar Farhangi, Omid Masoudi

“…Therefore, the purpose of the current research is to identify and provide indicators related to the production of content or effective Instagram advertising messages of candidates during the presidential elections. Methods: The research method was a qualitative approach and data analysis was done through in-depth interviews (semi-structured open questions), coding (open, selective and axial). …”
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Pedagogical applications of all-atom molecular dynamics simulation in coal seam seepage mechanics by Haiming Yu, Haochun Ma, Yao Xie

“…Compared to traditional experimental demonstrations or theoretical deduction methods, the AAMD method can intuitively and dynamically reveal molecular scale interactions and structural evolution, transforming abstract mechanisms into visual teaching content and effectively reducing the difficulty of understanding complex mechanisms. …”
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Entropy-Assisted Quality Pattern Identification in Finance by Rishabh Gupta, Shivam Gupta, Jaskirat Singh, Sabre Kais

“…While these examples demonstrate the method’s potential for extracting high-quality patterns, they do not constitute an exhaustive survey of all possible asset classes.…”
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Enhancing Speed and Imperceptibility in Watermarking Systems by Leveraging Galois Field Tables by Yasmin Alaa Hassan, Abdul Monem S. Rahma

“…This research suggests a novel method for improving the speed and imperceptibility of watermarking systems that makes use of Galois Field (GF) tables. …”
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Validation of New Student Registration Documents at Nurul Jadid University Using Convolutional Neural Network by Fathorazi Nur Fajri, Gulpi Qorik Oktagalu Pratamasunu, Kamil Malik

“…One way to recognize the document type is by its visual form or image. There are several methods for identifying an image, namely deep learning and neural network models. …”
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Peripapillary vessels density is closely related to cerebral white matter hyperintensities: An OCTA study. by Yuanyue Song, Zehua Lai, Kaiqi Ding, Yue Sun, Lili Zeng

“…<h4>Methods</h4>Forty-nine patients with WMHs were stratified into mild and moderate/severe WMHs groups based on MRI findings, utilizing the Fazekas and Scheltens scales. …”
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Distinguish the Value of the Benign Nevus and Melanomas Using Machine Learning: A Meta-Analysis and Systematic Review by Suli Li, Yihang Chu, Ying Wang, Yantong Wang, Shipeng Hu, Xiangye Wu, Xinwei Qi

“…We aimed to systematically review the performance and quality of machine learning-based methods in distinguishing melanoma and benign nevus in the relevant literature. …”
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Essay on the Pedagogical Activity of Professor N.A. Umov at the Imperial Moscow University in 1893–1911 by Aleksey A. Yakuta

“…In the process of lecturing, he developed a visual method of teaching physics at IMU, for which he actively used demonstration experiments, a number of which he himself developed and implemented into pedagogical practice. …”
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Electrophysiological Insights in Exergaming—Electroencephalography Data Recording and Movement Artifact Detection: Systematic Review by Carolina Rico-Olarte, Diego M Lopez, Bjoern M Eskofier, Linda Becker

“…Common motion artifact removal methods included visual inspection and independent component analysis. …”
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Employing Eye Trackers to Reduce Nuisance Alarms by Katherine Herdt, Michael Hildebrandt, Katya LeBlanc, Nathan Lau

“…When these methods detected possible alarm anticipation, the alarm’s audio and visual salience was reduced. …”
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Comparative analysis of working memory tasks in fMRI and MEG studies by E.V. Pechenkova, O.A. Korolkova, Y.R. Panikratova, M.E. Pchelintseva, V.E. Sinitsyn

“…Secondly, each neuroimaging method has its own characteristics and limitations. …”
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Comparative analysis of the correction of irregular postkeratoplastic astigmatism with scleral lenses and intrastromal ring implantation by M. V. Sinitsyn, N. A. Pozdeyeva

“…Many patients after penetrating keratoplasty (PK) experience induced postkeratoplastic astigmatism, which is often irregular and causes an increase in corneal aberrations that reduce visual acuity and quality. The aim of the study. To conduct a comparative analysis of the effect of rigid gas permeable scleral lenses and the MyoRing implantation method on clinical and functional parameters in patients with IPA. …”
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Brand visibility in packaging: a deep learning approach for logo detection, saliency-map prediction, and logo placement analysis by Alireza Hosseini, Kiana Hooshanfar, Pouria Omrani, Reza Toosi, Ramin Toosi, Zahra Ebrahimian, Mohammad Ali Akhaee

“…The proposed method consists of three main steps. The first step leverages YOLOv8 for logo detection across well-known datasets. …”
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Cancer Risk Reduction by Dietary Guideline Adherence: A Prioritization Approach with a Web App by Ruidong Zhang, Pricivel Carrera, Odile Elias, Tobias Norajitra, Angela Goncalves, Klaus Maier-Hein

“…In addition, we developed the method as a risk calculator framework to provide the interoperability between risk models and guidelines. …”
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