Efficient Robot Localization Through Deep Learning-Based Natural Fiduciary Pattern Recognition by Ramón Alberto Mena-Almonte, Ekaitz Zulueta, Ismael Etxeberria-Agiriano, Unai Fernandez-Gamiz

“…These images are processed by a convolutional neural network (CNN), designed to detect the most distinctive features of the environment. …”
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Improving Barcode Vision Scanning Process using a Drone-based Tracking PID Controller for Warehouse in Industry 4.0 by Samer Al-hamadani, Izzat Al-Darraji, Houssem Jerbi

“…In addressing these challenges, this study proposes an approach that combines a proportional–integral–derivative (PID) controller with image processing techniques. The PID controller is responsible for continuously monitoring the camera’s input, detecting the difference between the planned and the real barcode image dimensions, and making immediate changes to the drone position to improve the process of detecting the potential barcode. …”
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GenePixKolor (GPK) Fusion: A Novel Evolutionary Algorithm-Based Optimized NFT Card Generation and Rarity Ranking Method for Gaming Tokenomics by J. Guruprakash, P. Pradeep, L. B. Krithika

“…GPK Fusion leverages genetic algorithms, image processing and machine learning to create a comprehensive, four-stage system that optimizes both the trait generation and visual appeal of NFTs, while providing an advanced rarity ranking mechanism. …”
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Retrieval of crop traits using PROSAIL-based hybrid radiative transfer model and EnMAP hyperspectral data by Prachi Singh, Prashant K. Srivastava, Prakash Kumar Jha, Jochem Verrelst, Pashupati Nath Singh, Rajendra Prasad

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You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

“…Following detection, the captured muzzle image underwent image processing. Contrast-limited adaptive histogram equalization (CLAHE) was used to enhance the image quality and obtain a prominent and detailed image of the muzzle print. …”
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Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

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A Hierarchical Inverse Lithography Method Considering the Optimization and Manufacturability Limit by Gradient Descent by Haifeng Sun, Qingyan Zhang, Jie Zhou, Jianwen Gong, Chuan Jin, Ji Zhou, Junbo Liu

“…Inverse lithography technology (ILT) based on the gradient descent (GD) algorithm, which is a classical local optimal method, can effectively improve the lithographic imaging fidelity. …”
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Model-Based Posture Estimation With Structured Light System by Jeongyeop Lee, Bumjoo Lee

“…In this approach, three laser devices emit rays, and the resulting points are captured by an imaging device. The spatial configuration of these points in a global coordinate system is utilized to determine the posture of the SLM. …”
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Machine learning assisted classification of staphylococcal biofilm maturity by S.C.J. van Dun, R. Knol, A.S. Silva-Herdade, A.S. Veiga, M.A.R.B. Castanho, P.H. Nibbering, B.G.C.W. Pijls, A.M. van der Does, J. Dijkstra, M.G.J. de Boer

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Biometric Identification via Through-Wall Radar: A Survey on Vital Signs and Gait Analysis by Andre Rouco, Carolina Gouveia, Daniel Albuquerque, Susana Bras, Pedro Pinho

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Optimization of Adaptive Median Filter and FPGA Implementation by WANG Li-hong, HU Chang-hong, FAN Xian-hong, GAO Chun-ge, ZHANG Xiao-jun, SUN jing-hua

“…Using FPGA to run optimization algorithms reduces the time consumption to the millisecond level, which provides a basis for the real­time processing of railway image. …”
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Reduced-Complexity and Robust Surface Water Path Delineation for Large Real-World Terrain Using Boundary Element Method by Ajalawit Chantaveerod, Kampol Woradit, Andrew Seagar, Thunyawat Limpiti

“…These findings indicate that the framework, which leverages the BEM-based numerical solution, reduces the complexity of the physically-based and contour-based algorithm in delineating the SWPs over a real-world large-terrain DEM image while maintaining robustness in problematic regions.…”
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A Fish Target Identification and Counting Method Based on DIDSON Sonar and YOLOv5 Model by Wei Shen, Mengqi Liu, Quanshui Lu, Zhaowei Yin, Jin Zhang

“…This study is based on YOLOv5, which trains a recognition model by identifying fish targets in each frame of DIDSON images and uses the DeepSort algorithm to track and count fish targets. …”
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Combining Infrared Thermography with Computer Vision Towards Automatic Detection and Localization of Air Leaks by Ângela Semitela, João Silva, André F. Girão, Samuel Verdasca, Rita Futre, Nuno Lau, José P. Santos, António Completo

“…The python-based algorithm acquires thermal frames from the camera’s streaming video, identifies potential leak regions by selecting a region of interest, mitigates environmental interferences via image processing, and pinpoints leaks by employing pixel intensity thresholding. …”
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Comparison of manual and semi-automated algorithm for measuring architectural features during different isometric knee extension intensities: a reliability and comparative study in... by Micheal J. Luera, Micheal J. Luera, JoCarol E. Shields, Emma Bozarth, Rob J. MacLennan, Rob J. MacLennan, Natalie P. Walker, Jesus A. Hernandez-Sarabia, Jesus A. Hernandez-Sarabia, Carlos A. Estrada, Jason M. DeFreitas, Scott K. Crawford, Scott K. Crawford, Scott K. Crawford

“…For the semi-automated algorithm, the intra-rater reliability was good to excellent for FL (range: 0.90–0.99), PA (range: 0.88–0.99), and MT (range: 0.996–0.999) across all contraction intensities.DiscussionThe findings of this study suggest that the reliability of manual measurement is lower when novice raters perform image analyses compared to the semi-automated method. …”
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Numerical Simulation and On-Site Measurement of Dynamic Response of Flexible Marine Aquaculture Cages by Xiaoying Zhang, Fei Fu, Jun Guo, Hao Qin, Qian Sun, Zhe Hu

“…Sea trials are conducted, and the motion of the cage is obtained using an image processing technique, which validates the numerical algorithm. …”
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OCT Angiography: An Upcoming Tool for Diagnosis and Treatment of Retinal Vascular Diseases by Purnima Sood, Nalini Saxena, Dinesh Talwar

“…Optical Coherence Tomography (OCT) angiography is an upcoming non-invasive and dyeless imaging modality which depicts retinal microvasculature by processing scans taken repeatedly at the same location, at different points of time using Split-spectrum Amplitude Decorrelation Angiography (SSADA) algorithm. …”
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Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... by S. Ajith, S. Vijayakumar, N. Elakkiya

“…In pest and disease detection, artificial intelligence systems combining image processing and real-time analytics demonstrate promise for early intervention. …”
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Analysis of daytime land surface temperature in Iran based on the MODIS sensor output by Mahmoud Ahmadi, AbbasAli Dadashi Roudbari, Hamzeh Ahmadi

“…The present study intends to investigate the state of Daytime LST in Iran in different months of the year based on the output of MODIS Terra images.Materials and methods: In this study, the fifth product of MODIS Terra called (Mod11C3 v005) with a spatial resolution of 5×5 kilometer and a Daytime  time period, which became monthly data after the necessary processing, was used. …”
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Detection of Critical Parts of River Crab Based on Lightweight YOLOv7-SPSD by Guoai Fang, Yu Zhao

“…The removal of back armor marks the first stage in the comprehensive processing of river crabs. However, the current low level of mechanization undermines the effectiveness of this process. …”
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