Esterification of Oleic Acid for Biodiesel Production Using a Semibatch Atomization Apparatus by Marcell S. Deus, Katherine C. O. Deus, Daniel S. Lira, Jackson A. Oliveira, Carlos E. A. Padilha, Domingos F. S. Souza

“…The size of droplets was determined by computational image processing. A mathematical model was also developed to describe the conversion of oleic acid to ethyl ester as a function of molar concentration of components and operating conditions of the reactor. …”
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Efficacy of a Novel Bioactive Glass-Polymer Composite for Enamel Remineralization following Erosive Challenge by Farnoosh Fallahzadeh, Soolmaz Heidari, Farhood Najafi, Maryam Hajihasani, Nooshin Noshiri, Neda F. Nazari

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Tongue Color Analysis and Diseases Detection Based on a Computer Vision System by Abdulghafor Khudhaer Abdullah, Saleem Lateef Mohammed, Ali Al-Naji, Mohammed Sameer Alsabah

“…Quantitative diagnosis of the tongue requires some devices, including image acquisition devices such as cameras, light sources, filters, color checkers, image analysis and processing devices through the application of some algorithms or image processing and color correction software, as well as a computer. …”
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Statistical Characteristics of Polymer Grouting Material Microstructure by Juan Wang, Xun Li, Hongyuan Fang, Juan Zhang, Jinping Li

“…The microstructure morphology of polymer was observed and described by scanning electron microscopy (SEM), and the microstructure feature parameters were extracted and calculated by image processing technology. The quantitative analysis of section cell roundness distribution, cell diameter distribution, and polymer porosity shows that low-density polymer materials have anisotropy. …”
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Application of Convolutional Neural Networks and Recurrent Neural Networks in Food Safety by Haohan Ding, Haoke Hou, Long Wang, Xiaohui Cui, Wei Yu, David I. Wilson

“…This paper highlights the advantages of CNNs in image processing and feature recognition, as well as the powerful capabilities of RNNs (especially their variant LSTM) in time series data modeling. …”
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Annotation-free deep learning for predicting gene mutations from whole slide images of acute myeloid leukemia by Bo-Han Wei, Xavier Cheng-Hong Tsai, Kuo-Jui Sun, Min-Yen Lo, Sheng-Yu Hung, Wen-Chien Chou, Hwei-Fang Tien, Hsin-An Hou, Chien-Yu Chen

“…Abstract The rapid development of deep learning has revolutionized medical image processing, including analyzing whole slide images (WSIs). …”
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CLARITY and Light-Sheet microscopy sample preparation in application to human cerebral organoids by T. A. Shnaider, I. E. Pristyazhnyuk

“…In addition, slices represent only a tiny part of the object under study; three-dimensional reconstruction from the obtained serial images is an extremely complex process and often requires expensive special programs for image processing. Unfortunately, staining and microscopic examination of samples are difficult due to their low permeability and a high level of autofluorescence. …”
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A Review of CNN Applications in Smart Agriculture Using Multimodal Data by Mohammad El Sakka, Mihai Ivanovici, Lotfi Chaari, Josiane Mothe

“…A comparative analysis shows how CNNs perform with respect to other techniques that involve traditional machine learning and recent deep learning models in image processing, particularly when applied to high-dimensional or temporal data. …”
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Evaluation of the performance of Satellite photographs Corona , Hexagon and Aster images in preparing the map of the boundary and coastline of zaribar Lake and extracting the amoun... by Hedayat Sheikh Ghaderi, abdulsalam ‪aminpour, Parviz Ziaeian Firoozabadi

“…In general, the findings of this study show the potential of using digital image processing methods for corona and hexagon data to monitor and detect changes in lakes.…”
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Automating skin cancer screening: a deep learning by Nada M. Rashad, Noha MM. Abdelnapi, Ahmed F. Seddik, M. A. Sayedelahl

“…This study offers a novel approach to early skin cancer diagnosis based on image processing. Our approach leverages the high accuracy of a specific convolutional neural network architecture, utilizing transfer learning with pre-trained data to further enhance detection performance. …”
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Preliminary Results on Irradiance Measurements from Lyra and Swap by S. T. Kumara, R. Kariyappa, M. Dominique, D. Berghmans, L. Damé, J. F. Hochedez, V. H. Doddamani, Lakshmi Pradeep Chitta

“…The first and preliminary results of the photometry of Large Yield Radiometer (LYRA) and Sun Watcher using Active Pixel system detector and Image Processing (SWAP) onboard PROBA2 are presented in this paper. …”
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Fractal Study on the Failure Evolution of Concrete Material with Single Flaw Based on DIP Technique by Lulin Zheng, Hao Liu, Yujun Zuo, Quanping Zhang, Wei Lin, Qing Qiu, Xiaorong Liu, Ziqi Liu

“…In order to study the failure characteristics of shotcrete body during the process of using shotcrete bolt mesh support in the deep fractured rock mass of Lannigou Gold Mine, this paper combined the Digital Image Processing Technique (DIP) and RFPA2D (Rock Failure Process Analysis System) to establish a real meso-structure numerical model of concrete with different inclination angle cracks, simulating its crack propagation law and failure process, and studied the influence of crack geometry distribution and meso-heterogeneity on the effect of concrete structure. …”
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Comparative Analysis of Vanilla CNN and Transfer Learning Models for Glaucoma Detection by Brendan Ubochi, Abayomi E. Olawumi, John Macaulay, Oyawoye I. Ayomide, Kayode F. Akingbade

“…With careful attention to exhaustive image processing, an impressive training accuracy of 89% and validation accuracy of 50% was obtained from the vanilla CNN, showing a high sensitivity of 88% in detecting glaucomatous patients from OCT scans. …”
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Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning by Caner Koç, Kamil Ekinci, Ömer Ertuğrul, Dilara Gerdan Koc, Havva Eylem Polat

“…Additionally, this study introduces a novel approach that integrates advanced image processing techniques with deep learning, providing a robust framework that can potentially be applied to other domains of animal identification, thus enhancing overall farm management and biosecurity.…”
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Localization of mobile robot in prior 3D LiDAR maps using stereo image sequence by I.V. Belkin, A.A. Abramenko, V.D. Bezuglyi, D.A. Yudin

“…With parallel code implementation, we achieve an input stereo image processing speed of 14 frames per second on Xavier AGX.…”
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Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

“…Recent research has focused on the application of artificial intelligence (AI) and radiomics in medical image processing, diagnosis, and treatment planning.MethodsA review of the current literature was conducted, analyzing the use of AI models and texture analysis for MS lesion segmentation and classification. …”
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A Simple Polarization-Based Fringe Projection Profilometry Method for Three-Dimensional Reconstruction of High-Dynamic-Range Surfaces by Xiang Sun, Zhenjun Luo, Shizhao Wang, Jianhua Wang, Yunpeng Zhang, Dandan Zou

“…Three-dimensional (3D) reconstruction of high-dynamic-range (HDR) surfaces plays an important role in the fields of computer vision and image processing. Traditional 3D measurement methods often face the risk of information loss when dealing with surfaces that have HDR characteristics. …”
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Experimental investigation of bluff body geometry effects on nitrogen oxides emissions from Cambridge stratified burner by Morteza Nahvi, Kiumars Mazaheri, Mohammad Zabetian Targhi, Fatemeh Eskandari

“…Flame spectroscopy compares the chemiluminescence intensities of OH*, CH*, C2*, H2O*, and CO2*. Digital image processing, flame edge detection, and exhaust gas analysis are also utilized to measure flames’ general dimensions and emissions. …”
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Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images by Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen

“…Characterization and individual trait analysis of the focal liver lesions (FLL) is a challenging task in medical image processing and clinical site. The character analysis of a unconfirmed FLL case would be expected to benefit greatly from the accumulated FLL cases with experts’ analysis, which can be achieved by content-based medical image retrieval (CBMIR). …”
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Non-Volatile Reconfigurable Optical Digital Diffractive Neural Network Based on Phase Change Material by Qiaomu Hu, Jingyu Zhao, Chu Wu, Rui Zeng, Xiaobing Zhou, Shuang Zheng, Minming Zhang

“…Optical diffractive neural networks have sparked extensive research due to their low power consumption and high-speed capabilities in image processing. Here we propose and design a reconfigurable all-optical diffractive neural network structure with digital non-volatile optical neurons. …”
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