Recurrence Quantification Analysis for Scene Change Detection and Foreground/Background Segmentation in Videos by Theodora Kyprianidi, Effrosyni Doutsi, Panagiotis Tsakalides

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Optimization of the road bump and pothole detection technology using convolutional neural network by Ding Haiping, Tang Qianlong

“…In highway bridge engineering, it is essential to use modern image processing methods to effectively detect and classify road bumps and potholes, considering the unique characteristics of bridge surfaces. …”
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Beyond Classical AI: Detecting Fake News with Hybrid Quantum Neural Networks by Volkan Altıntaş

Subjects: “…fake news detection…”
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A photovoltaic anomaly data identification method based on image feature detection by QIU Yutao, ZHANG Lei, ZHOU Kaiyun, YAN Min, SUN Jintong, LONG Huan

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Detecting Galactic Rings in the DESI Legacy Imaging Surveys with Semisupervised Deep Learning by Jianzhen Chen, Zhijian Luo, Cheng Cheng, Jun Hou, Shaohua Zhang, Chenggang Shu

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Advancements in Plant Pests Detection: Leveraging Convolutional Neural Networks for Smart Agriculture by Gopalakrishnan Nagaraj, Dakshinamurthy Sungeetha, Mohit Tiwari, Vandana Ahuja, Ajit Kumar Varma, Pankaj Agarwal

“…Insects and illnesses that affect plants can have a major negative effect on both their quality and their yield. Digital image processing may be applied to diagnose plant illnesses and detect plant pests. …”
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Long short‐term memory on abstract syntax tree for SQL injection detection by Z. Zhuo, T. Cai, X. Zhang, F. Lv

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Hardware-Efficient Phase Demodulation for Digital <i>ϕ</i>-OTDR Receivers with Baseband and Analytic Signal Processing by Shangming Du, Tianwei Chen, Can Guo, Yuxing Duan, Song Wu, Lei Liang

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NHPP Software Reliability Model with Rayleigh Fault Detection Rate and Optimal Release Time for Operating Environment Uncertainty by Kwang Yoon Song, In Hong Chang

“…The goodness-of-fit of the proposed model relative to several existing nonhomogeneous Poisson process (NHPP) SRMs is presented based on three software application failure datasets. …”
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Detection and Localization of Early-Stage Multiple Brain Tumors Using a Hybrid Technique of Patch-Based Processing, k-means Clustering and Object Counting by Mohamed Nasor, Walid Obaid

“…In this paper, we present an automated machine vision technique for the detection and localization of brain tumors in MRI images at their very early stages using a combination of k-means clustering, patch-based image processing, object counting, and tumor evaluation. …”
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Improve unsupervised Learning-based landslides detection by band ratio processing of RGB optical images: a case study on rainfall-induced landslide clusters by Lichuan Chen, Xuekun Xiang, Haijia Wen, Jiafeng Xiao, Chenhao Song, Xinzhi Zhou, Jingyuan Yu

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Measurement of Ellman’s Essay Using a Smartphone Camera Coupled with an Image Processing Technique in CIE-LAB Color Space for the Detection of Two Pesticides in Water by Chiravoot Pechyen, Calin Trif, Benya Cherdhirunkorn, Surachet Toommee, Yardnapar Parcharoen

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A two-stage model for enhanced mango leaf disease detection using an innovative handcrafted spatial feature extraction method and knowledge distillation process by Mohammad Manzurul Islam, Mst. Nasrat Jahan Niva, Abdullahi Chowdhury, Saleh Masum, Rifat Ara Shams, Taskeed Jabid, Md. Sawkat Ali, Md. Mostofa Kamal Rasel, Muhammad Firoz Mridha

“…Similar improvements were observed in detecting other diseases, making our approach a more robust and efficient solution for mango plant disease detection.…”
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YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing by Jinfeng Zhao, Zeyu Hou, Qin Wang, Sheng Dai, Kaicheng Yong, Xuan Wang, Jiawen Yang, Qianlong Nie, Yan Ma, Xuehui Huang

“…Moreover, the YOLOv8 architecture was adjusted by modifying certain convolutional layers and the Context to Fusion module to enhance the detection capabilities for smaller targets. Finally, YOLOrot2.0 enables direct processing of the entire image, eliminating the need for image partitioning and resulting in substantial time and processing savings. …”
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Updating the Earth remote sensing software for the detection of thermal anomalies by S. A. Zolotoy, I. B. Strashko, Dz. S. Kotau, I. M. Nestsiarovich, V. V. Rouba, Dz. V. Valakhovich

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Allergenic potential of insect proteins: cross-reactivity, detection, degradation, and implications for food safety and labelling by Dongdong Ni

“…In this review, we review cross-reactive allergens from insect proteins, and detection and characterisation methods for these allergens as well as effects of food processing approaches to degrade these allergens in products. …”
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An Encoder-Only Transformer Model for Depression Detection from Social Network Data: The DEENT Approach by Robinson Narvaez Burbano, Oscar Mauricio Caicedo Rendon, Carlos. A. Astudillo

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Brain tumor detection empowered with ensemble deep learning approaches from MRI scan images by Rizwana Naz Asif, Muhammad Tahir Naseem, Munir Ahmad, Tehseen Mazhar, Muhammad Adnan Khan, Muhammad Amir Khan, Amal Al-Rasheed, Habib Hamam

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Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

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Evaluating correlations between reading ability and psychophysical measurements of dynamic visual information processing in Japanese adults by Ryohei Nakayama, Miki Uetsuki, Kazushi Maruya, Hiromasa Takemura

Subjects: “…Dynamic visual information processing…”
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