Resource Efficient Hardware Architecture for Fast Computation of Running Max/Min Filters by Cesar Torres-Huitzil

“…The applicability of the architecture is shown for local adaptive image thresholding.…”
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Sexual Quality of Life in Women with Breast Cancer by Lovorka Brajkovic, Petra Sladic, Vanja Kopilaš

“…Among the types of treatment, mastectomy and chemotherapy proved to be the most important, while it is not possible to draw clear conclusions about degree and progression of the disease. Disturbed body image, depressive and anxiety symptoms, lower self-esteem, and inadequate social support of the partner are associated with a lower sexual quality of life. …”
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Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion by Jie-sheng Wang, Shuang Han, Na-na Shen

“…Firstly, the color feature (saturation and brightness) and texture features (angular second moment, sum entropy, inertia moment, etc.) based on grey-level co-occurrence matrix (GLCM) are adopted to describe the visual characteristics of the flotation froth image. Then the kernel principal component analysis (KPCA) method is used to reduce the dimensionality of the high-dimensional input vector composed by the flotation froth image characteristics and process datum and extracts the nonlinear principal components in order to reduce the ESN dimension and network complex. …”
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Mužnost jako ctnost uvědomělého homosexuála ve třicátých letech by Jan Seidl

“…The journalism was adding the public image of the homosexual with other characteristics, supporting and nourishing a wide- spread notion of the homosexual as an effeminated, depraved and criminal being. …”
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Polariton lattices as binarized neuromorphic networks by Evgeny Sedov, Alexey Kavokin

“…The system’s performance was evaluated using diverse datasets, including the MNIST dataset for image recognition and the Speech Commands dataset for voice recognition tasks. …”
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BLSENet: A Novel Lightweight Bilinear Convolutional Neural Network Based on Attention Mechanism and Feature Fusion Strategy for Apple Leaf Disease Classification by Tianyu Fang, Jialin Zhang, Dawei Qi, Mingyu Gao

“…The lesion area of the apple leaf disease image is small and vulnerable to background interference, which easily leads to low recognition accuracy. …”
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„... das Unendliche im Endlichen gebären ...“ by Susanne Gödde

“…Meaning is constituted through the indexicality of a (primarily aniconic) image of a god, whereby the cult-image of a phallus (which, according to Creuzer, represents the letter of a natural language) emerges as a privileged signifier. 3. …”
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Sistem Pengenalan Wajah 3D Menggunakan ICP dan SVM by Nadya Viana De Lima, Ledya Novamizanti, Eko Susatio

“…Iterative Closest Point (ICP) provides dimensional information by minimizing errors between points in one view and the closest point so that 3D face templates are made in accordance with the reference image. Whereas SVM is a classification method by determining the image class based on information obtained from the extraction of features. …”
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The influence of unverified news and electronic word-of-mouth on customer satisfaction and purchase intention: An empirical study on the food and beverage industry by Ngoc-Hong Duong, Chi Viet Duong, Thien Kim Nguyen Ba, Bao Tran Tran, Minh Chau Thai

“…Secondly, brand image plays a mediating role in the relationship between e-WOM and purchase intention. …”
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DualTransAttNet: A Hybrid Model with a Dual Attention Mechanism for Corn Seed Classification by Fei Pan, Dawei He, Pengjun Xiang, Mengdie Hu, Daizhuang Yang, Fang Huang, Changmeng Peng

“…Hyperspectral and RGB image data were then integrated to complement one another’s information and mitigate the insufficient feature diversity caused by single-source data. …”
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A Spatio-Temporal Deep Learning Model for Automatic Arctic Sea Ice Classification with Sentinel-1 SAR Imagery by Li Zhao, Yufeng Zhou, Wei Zhong, Cheng Jin, Bo Liu, Fangzhao Li

“…In this article, a spatio-temporal deep learning model—the Dynamic Multi-Layer Perceptron (MLP)—is utilized to classify 10 sea ice types automatically. It consists of a SAR image branch and a spatio-temporal branch, which extracts SAR image features and spatio-temporal distribution characteristics of sea ice, respectively. …”
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MM-HiFuse: multi-modal multi-task hierarchical feature fusion for esophagus cancer staging and differentiation classification by Xiangzuo Huo, Shengwei Tian, Long Yu, Wendong Zhang, Aolun Li, Qimeng Yang, Jinmiao Song

“…The proposed architecture combines low-level to deep-level features of both pathological and endoscopic images to achieve accurate classification results. …”
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Convolutional neural networks for accurate real-time diagnosis of oral epithelial dysplasia and oral squamous cell carcinoma using high-resolution in vivo confocal microscopy by Rishi S. Ramani, Ivy Tan, Lindsay Bussau, Lorraine A. O’Reilly, John Silke, Christopher Angel, Antonio Celentano, Lachlan Whitehead, Michael McCullough, Tami Yap

“…Abstract Oral cancer detection is based on biopsy histopathology, however with digital microscopy imaging technology there is real potential for rapid multi-site imaging and simultaneous diagnostic analysis. …”
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Automated skin melanoma diagnostics based on mathematical model of artificial convolutional neural network by D. A. Gavrilov, E. I. Zakirov, E. V. Gameeva, V. Yu. Semenov, O. Yu. Aleksandrova

“…This jerk is largely due to the emergence and development of the technology of deep convolu onal neural networks.Recent developments in the fi eld of image processing and machine learning open up the prospect of crea ng systems based on ar fi cial neural convolu onal networks, superior to humans in problems of image classifi ca on, in par cular, in solving problems of analysis of various medical images. …”
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The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct Scan by Nimas Rokhmatik Dayyana, Pramono, Khusnul Ain, Amilia Kartikasari, Riky Tri Yunardi

“…Conclusion: The four filter variations were affected by reducing metal artifacts. Images with substantial SNR and fractional RMSE values produced an image that was more informative and still had diagnostic value.…”
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Implication of tumor morphology and MRI characteristics on the accuracy of automated versus human segmentation of GBM areas by Valeria Cerina, Chiara Benedetta Rui, Andrea Di Cristofori, Davide Ferlito, Giorgio Carrabba, Carlo Giussani, Gianpaolo Basso, Elisabetta De Bernardi

“…Conversely, on less common tumors with more complex tissue distribution and infiltrative behavior, manual segmentation works better than BraTS-Toolkit and DeepBraTumIA, and image quality has a larger impact on automatic segmentation performance. …”
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Analisis Faktor dan Metode untuk Menentukan Tipe Kulit Wajah: Tinjauan Literatur by Shinta Dewi Kusumaningrum, Izzati Muhimmah

“…From the several previous studies, facial skin types and diseases that emerge in the facial area can be detected through image learning using various methods. Image data used as learning is in the form of digital images and microscopic images which are then processed using various feature extraction methods and then continued with skin type classification. …”
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Customer satisfaction in the catering industry: Contrasts between Lithuania and Portugal by Lina Pilelienė, Nuno Almeida, Viktorija Grigaliūnaitė

“…Only one country-specific relation is detected: the effect of image on satisfaction is statistically significant only for Portuguese consumers.…”
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Comparison of CMM and Micro-CT Volumetric Analysis of Polyethylene Tibial Knee Inserts in Total Knee Replacement by Wei Jiang, Cuicui Ji, Huaxing Xiao, Zhongmin Jin, Yuntian Dai

“…Based on the coordinates and image slices obtained, the surface curve fitting and image digitization methodology were used for the creation of nominal “original” surface in the case of no prewear data provided. …”
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