GBCHV an advanced deep learning anatomy aware model for accurate classification of gallbladder cancer utilizing ultrasound images by Md. Zahid Hasan, Md. Awlad Hossen Rony, Sadia Sultana Chowa, Md. Rahad Islam Bhuiyan, Ahmed A. Moustafa

“…Moreover, the decision-making process of the proposed model is further explained visually through the utilization of Gradient-weighted Class Activation Mapping (Grad-CAM). …”
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STATISTICAL ANALYSIS OF THE REPLENISHMENT OF ENGINEERING PERSONNEL ON THE EXAMPLE OF THE RYAZAN REGION by B.V. Kostrov, R.V. Khrunichev

“…In preparing the materials of the article, methods of data preparation and purification, processing of sample populations based on the construction of variation series, determination of sample fractions, the histogram method for visualizing the data obtained, correlation and regression analysis were used. …”

Analysis of indications for selectively missing results in comparative registry-based studies in medicine: a meta-research study by Paula Starke, Zhentian Zhang, Hannah Papmeier, Dawid Pieper, Tim Mathes

“…Synthesis of results We plotted the cumulative distribution of p-values and a histogram of absolute z-scores for visual inspection of selectively missing results because of p-hacking, selective reporting, or publication bias. …”
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IMPROVING THE ACCURACY OF DETERMINING DEVIANT GROUPS IN THE SELECTION AND MONITORING OF THE CRITICAL INFORMATION INFRASTRUCTURE ENTERPRISES STAFF by Vladimir L. Evseev, Anton S. Burakov, Anatoly V. Marchenko

“…The numerical experiment showed that the differences in clustering results for different initializations reach statistically significant values. A histogram and a heat map are constructed visualizing the preferred centroid selection zones. …”
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Optical Bench Evaluation of a Novel, Hydrophobic, Acrylic, One-Piece, Polyfocal Intraocular Lens with a “Zig-Zag” L-Loop Haptic Design by Andreas F. Borkenstein, Eva-Maria Borkenstein, Pooria Omidi, Achim Langenbucher

“…Larger apertures lead to a significant increase in MTF at the far peak, indicating better visual acuity for distant objects under low-light conditions. …”
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Deep Learning-Assisted Diagnostic System: Apices and Odontogenic Sinus Floor Level Analysis in Dental Panoramic Radiographs by Pei-Yi Wu, Yuan-Jin Lin, Yu-Jen Chang, Sung-Tsun Wei, Chiung-An Chen, Kuo-Chen Li, Wei-Chen Tu, Patricia Angela R. Abu

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Low-light image enhancement method based on retinex theory and dual-tree complex wavelet transform by Yuqian Zhang, Jie Jiang, Zhan Wang, Qi Zhang, Yudi Jiang, Jun Liu, Zeyao Hou

“…These issues not only impair human visual perception but also pose significant challenges for computer vision tasks. …”
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CHARACTERISTICS OF HEMATOLOGICAL MANIFESTATIONS IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS: SINGLE CENTER EXPERIENCE by Gül Sandal Uzun

“…The variables were calculated using visual (histogram and normality plots) and analytical methods (Kolmogorov-Smirnov) to determine whether they were normally distributed. …”
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Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics by Saima Rashid, Ayesha Siddiqa, Fekadu Tesgera Agama, Nazeran Idrees, Mohammed Shaaf Alharthi

“…Visual representations are used to illustrate the investigation and compare results. …”
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Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization by Amandeep Kaur, Shalli Rani, Mohammad Shabaz

“…Conventional enhancement methods—like histogram equalisation and gamma correction—struggle with non-uniform illumination and frequently do not maintain critical structural details and perceptual quality. …”
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NeuralSyncTester: A tool for research and teaching in neural synchronization of multilayer tree parity machine networks by Iván Jirón-Araya, Rodrigo Jiménez, Rafael Martínez-Peláez, Miguel A. Solis

“…It features real-time visualization, dynamic progress tracking, and data analysis, including histograms and 3D graphs. …”
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Creative Design as Research The Application of Practice Base Research in Designing the Logo of Didar Gallery of Isfahan by Rasool Kamali Dolat Abadi

“…In this research design, the author has used four cognitive fields: "Graphics and Sign Design", "Process Design and Triz's Theory of Creativity" (The four basic pillars of Triz: “Contrast”, “Ideality”, “Function” and “Resources”; The eight principles of Triz: “Consolidation”, “Nesting”, “Prior Action”, “Periodic Action”, “Mediator”, “Replacement of Mechanical Systems”, “Homogeneity” & “Phase Transition”), "Contemporary Art and Galleries" (Applying seven features of Contemporary Art: “innovation and experimentation” in the unconventional design process, “using Multimedia as a new tool” in logo design, “conceptual-critical and questioning approach” which has deconstructive features, “process oriented design”, “Multiplicity of meaning”, “Multidisciplinary approach in sound engineering and image engineering” and “Social action and interactivity” through collaboration with different people for sign design) and "Structuralist & Post-Structuralist Philosophy" (Concepts such as “the metaphysics of presence”, “the priority of speech (parole) over writing (language)”, “endless chain of significations” ,“the trace of meaning”, “the Play of presence and absence”, “deferral of meaning”, “difference”).In designing the final logo of Didar Gallery, the designer paid attention to the histogram of the recorded sound of saying the word Didar, instead of a purely written or visual approach, taking into account selected theoretical principles in the four cognitive fields and while visualizing the sound, he redesigned the letters with deformation in its geometry.As a result, in the final design, the designer has increased the creative and thoughtful aspect of the logo by making changes in the design tools and design approach, and by deepening the design -by finding ideas from philosophical propositions (especially Derrida's deconstruction)- to the extent that the gallery logo, in addition to the status of its functionality can be considered as an artwork.…”
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XV-AMD: An Explainable Vision Transformer Detection Framework for Age-Related Macular Degeneration Using Fundus Imaging by Aya A. Abd El-Khalek, Hossam Magdy Balaha, Mohamed T. Azam, Ashraf Sewelam, Mohammed Ghazal, Abeer T. Khalil, Mohy Eldin A. Abo-Elsoud, Ayman El-Baz

“…Age-related macular degeneration (AMD) is a leading cause of visual impairment in adults over 50 years of age and is characterized by progressive damage to the macula, leading to challenges in daily activities such as reading and driving. …”
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An integrated deep learning framework using adaptive enhanced vision fusion and modified mobilenet architecture for precision classification of skin diseases with enhanced diagnost... by Ahsan Bilal Tariq, Muhammad Zaheer Sajid, Nauman Ali khan, Muhammad Fareed Hamid, Anwaar UlHaq, Jarrar Amjad

“…Due to challenges such as illumination variability, noise, and visual distortions, machine learning (ML) and deep learning (DL) approaches for skin disease evaluation remain complex. …”
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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

“…The collected thermography images are being preprocessed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and contrasting enhancement methods to improve the quality and brightness of the images. …”
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GEBCO and ETOPO1 gridded datasets for GMT based cartographic Mapping of Hikurangi, Puysegur and Hjort Trenches, New Zealand by Polina Lemenkova

“…Data include GEBCO, ETOPO1, EGM96. Comparative histogram equalization of topographic grids (equalized, normalized, quadratic) was done by module ’grdhisteq’, automated cross-sectioning – by ’grdtrack’. …”
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Outliers and anomalies in training and testing datasets for AI-powered morphometry—evidence from CT scans of the spleen by Yuriy Vasilev, Yuriy Vasilev, Anastasia Pamova, Tatiana Bobrovskaya, Anton Vladzimirskyy, Anton Vladzimirskyy, Olga Omelyanskaya, Elena Astapenko, Artem Kruchinkin, Novik Vladimir, Kirill Arzamasov, Kirill Arzamasov

“…The most effective methods included visual techniques (including boxplots and histograms) and machine learning algorithms such is OSVM, KNN and autoencoders. …”
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MuPETFlow: multiple ploidy estimation tool from flow cytometry data by C. Gómez-Muñoz, G. Fischer

“…MuPETFlow allows users to visualize cell fluorescence histograms, detect the peaks corresponding to the different cell cycle phases, perform a linear regression using standards, make ploidy or genome size predictions, and export results as figures and table files. …”
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Can Power Laws Help Us Understand Gene and Proteome Information? by J. A. Tenreiro Machado, António C. Costa, Maria Dulce Quelhas

“…After creating the initial relative frequency histograms, they are transformed and processed in order to generate quantitative results for information extraction and graphical visualization. …”
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Multi-scale target intelligent detection method for coal, foreign object and early damage of conveyor belt surface under low illumination and dust fog by Hongwei FAN, Jinpeng LIU, Xiangang CAO, Chao ZHANG, Xuhui ZHANG, Man LI, Hongwei MA, Qinghua MAO

“…The intelligent transportation system of coal mine needs to carry out integrated visual detection of foreign object such as gangue and belt damage. …”
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