Polarization Möbius strip at the tight focus of a generalized Poincaré beam by V.V. Kotlyar, A.A. Kovalev, A.M. Telegin

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Determining Planetary Boundary Layer Height by Micro-pulse Lidar with Validation by UAV Measurements by Yueh-Chen Wang, Sheng-Hsiang Wang, Jasper R. Lewis, Shuenn-Chin Chang, Stephen M. Griffith

“…Furthermore, the Haar wavelet and the Hybrid image processing can detect the PBL development comparably well, but both methods are dependent on their initial conditions and optimized algorithm settings. …”
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Simple Imaging Techniques for Plant Growth Assessment by Shinsuke Agehara

“… Quantification of plant phenotypic traits, such as height, width, stem diameter, and leaf area, is often performed manually in the field; however, these measurements can be performed more quickly and precisely through simple imaging techniques using an image processing program. This new 5-page publication of the UF/IFAS Horticultural Sciences Department, written by Shinsuke Agehara, describes simple imaging techniques for plant growth assessment using the public domain program ImageJ. https://edis.ifas.ufl.edu/hs1353 …”
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Multiphoton imaging-based quantifiable collagen signatures for predicting outcomes in patients with pancreatic ductal adenocarcinoma by Xiwen Chen, Jikui Miao, Xingxin Huang, Xiahui Han, Liqin Zheng, Jianxin Chen, Linying Chen, Lianhuang Li

“…A combination of label-free multiphoton imaging technique and computer-aided image processing method may offer a novel and promising approach for finding new biomarkers to improve prognosis prediction and thereby tailor treatment strategies more effectively.…”
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Some new existence results of positive solutions for anisotropic variable exponent operator by Rafik Guefaifia, Salah Boulaaras, Rashid Jan

“…These findings have significant implications for real-world applications, such as fluid dynamics, image processing, and material science, where variable growth conditions arise naturally. …”
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Ringworm Detection and Diagnosis System. by Asiimwe, Joab, Barigye, Deus Dedet

“…This report presents a novel ringworm detection system utilizing deep learning and image processing. We carried out our research within a period of seven months and our system performed the desired work. …”
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Metode Deteksi Pokok Pohon Secara Automatis pada Citra Perkebunan Sawit Menggunakan Model Convolutional Neural Network (CNN) pada Perangkat Lunak Sistem Informasi Geografis by Samuel Samuel, Kestrilia Rega Prilianti, Hendry Setiawan, Prasetyo Mimboro

“…The first step needed in image processing for various monitoring purposes is the automatic detection of oil palm trees. …”
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Machine learning and facial recognition for down syndrome detection: A comprehensive review by Khosro Rezaee

“…This paper explores various facial analysis techniques, including deep convolutional neural networks (DCNNs) and hybrid models combining traditional image processing with deep learning. The review highlights the strengths and limitations of these methods, the importance of large and diverse datasets, and the need for models capable of handling variations in lighting, facial angles, and genetic diversity. …”
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Analisis Faktor dan Metode untuk Menentukan Tipe Kulit Wajah: Tinjauan Literatur by Shinta Dewi Kusumaningrum, Izzati Muhimmah

“…This literature review shows that the accuracy of image processing is not only determined based on the method, but there are also other factors such as the number and quality of the datasets used and the feature extraction performed. …”
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Biometric Fusion for Enhanced Authentication in Cloud Computing Environments by Chiyo Miyazawa, Ryosuke Sato

“…Each trait undergoes meticulous image processing stages, encompassing pre-processing, normalization, and feature extraction. …”
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Development of an automated foot contact area measurement program for podoscopes using ChatGPT-4: a case report by Min Cheol Chang

“…This method, which employs advanced image-processing techniques powered by ChatGPT-4, demonstrates the potential for integrating artificial intelligence into clinical applications. …”
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Skin Tumors Diagnosis Utilizing Case Based Reasoning and The Expert System by Roza Fuad Majeed, Soran AB. M. Saeed, Dana Abdulmajeed Abdilkarim, Haval Mohammed Sidqi

“…Based on that, this study proposes a computer-aided diagnosis (CAD) system that detects skin cancer using digital images, techniques of image processing, by using the case-based reasoning and expert system. …”
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Employing Data Mining Techniques and Machine Learning Models in Classification of Students’ Academic Performance. by Hussein, Alkattan, Alhumaima, Ali Subhi, Oluwaseun, Adelaja A., Abotaleb, Mostafa, Mijwil, Maad M., Pradeep, Mishra, Sekiwu, Denis, Bamwerinde, Wilson, Turyasingura, Benson

“…Classification models were applied using the KNIME platform and the WEKA tool to analyze students' performance in three courses: database technology, artificial intelligence, and image processing in the ICT degree program. The results showed that the use of decision trees can effectively classify students' performance and determine the success and failure rates. …”
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Perceptual Analysis of Tone Mapping Operators by Raazia Sosan, M. Hamza Qureshi, M. Zukhruf Bashir, Ahmad Hussain, Naz Islam

“…Additionally, the proposed SSIM and CIEDE2000 metrics serve as valuable tools for future research and benchmarking in the field of image processing. …”
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LeaData a novel reference data of leather images for automatic species identification by Anjli Varghese, Malathy Jawahar, A. Amalin Prince

“…Hence, this paper solely creates the bigger LeaData and presents its different versions to the digital image processing and computer vision research community. …”
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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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Mapping of land degradation using spectral angle mapper approach (SAM): the case of Inaouene watershed (Northeast Morocco) by Benzougagh, Brahim, Meshram, Sarita Gajbhiye, Fellah, Bouchta El, Mastere, Mohamed, Basri, Mohamed El, Ouchen, Ibrahim, Sadkaoui, Driss, Bammou, Youssef, Moutaoikil, Nassima, Turyasingura, Benson

“…The main objective of this paper is to assess spectral angle mapper (SAM) method and analyze their properties using geographic information system and image processing techniques in order to map the hazards of soil erosion. …”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

“…Abstract This study uses machine learning (ML) to elucidate the contact relationship between the mandibular third molar (M3M) and the inferior alveolar canal (IAC), leading to three major contributions; (1) The first publicly accessible PR image dataset with semantic annotations for 1,478 IACs and M3Ms from 1,010 patients is introduced, which includes challenging cases, such as false positive contacts, with CBCT images as the gold standard, (2) Established radiological indicators for M3M-IAC contact were extracted as features using digital image processing, and these features were used as inputs for various ML methods. …”
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Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

“…These approaches range from controlled ideal condition analysis by breeders to the use of advanced plant physiological feature analysis using satellite image processing techniques. While a number of popular crops like rice and maize have a number of models proposed, limited yield prediction studies have been done on neglected crops like green gram. …”
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Pengenalan Jalan Berlubang Berbasis Vision Menggunakan Pyramid Histogram Of Oriented Gradients by Ahmad Habib Fitriansyah, Ema Rachmawati, Risnandar Risnandar

“…This article presents a new approach using image processing and machine learning to identify potholes on roads. …”
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