Phase Extraction Algorithm Based on the Spatial Carrier-Frequency Phase-Shifting Gradient by Haoren Zou, Liyun Zhong, Jiaosheng Li, Zhenda Sun, Yicheng Liu, Qinwen Ning, Xiaoxu Lu

“…For improving the accuracy and processing speed of phase extraction, a new phase extraction algorithm based on the spatial carrier-frequency phase-shifting gradient (SCFPS-G) is proposed. …”
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Belt conveyor idler fault detection algorithm based on improved YOLOv5 by Cen Pan, Qing Tao, Hao Pei, Biao Wang, Wei Liu

“…Experimental results demonstrate that the enhanced YOLOv5 algorithm achieves a 95.3% mAP on the self-constructed infrared image dataset, surpassing the original algorithm by 2.7%. …”
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Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms by Bryan Gonzalez, Gonzalo Garcia, Sergio A. Velastin, Hamid GholamHosseini, Lino Tejeda, Gonzalo Farias

“…An RGB camera is employed to capture the tray delivery process in a self-service restaurant, providing test images for plate counting and content identification algorithm comparison, using standard evaluation metrics. …”
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Mapping individual tree crowns to extract morphological attributes in urban areas using unmanned aerial vehicle-based LiDAR and RGB data by Geonung Park, Bonggeun Song, Kyunghun Park

“…Additionally, deep learning (DL) models, which excel in image analysis, are constrained by the labor-intensive label generation process. …”
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Hierarchical multi step Gray Wolf optimization algorithm for energy systems optimization by Idriss Dagal, AL-Wesabi Ibrahim, Ambe Harrison, Wulfran Fendzi Mbasso, Ahmad O. Hourani, Ievgen Zaitsev

“…Abstract Gray Wolf Optimization (GWO), inspired by the social hierarchy and cooperative hunting behavior of gray wolves, is a widely used metaheuristic algorithm for solving complex optimization problems in various domains, including engineering design, image processing, and machine learning. …”
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A Unified Multi-Target Clever Eye Algorithm: Analytical Solutions and Application by Lei Wang, Xiurui Geng, Luyan Ji

“…The clever eye (CE) algorithm has been introduced for target detection in remote sensing image processing. …”
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Monitoring Gypsiferous Soils by Leveraging Advanced Spaceborne Hyperspectral Imagery via Spectral Indices and a Machine Learning Approach by Najmeh Rasooli, Saham Mirzaei, Stefano Pignatti

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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…However, they require high data quality and are prone to overfitting phenomenon. Deep learning algorithms can automatically learn feature representation, perform well in processing large amounts of high-dimensional and complex data, and can effectively deal with the challenges brought by various data sources, but the training process is complex and the computational cost is high. …”
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Advanced Deep Learning and Machine Learning Techniques for MRI Brain Tumor Analysis: A Review by Rim Missaoui, Wided Hechkel, Wajdi Saadaoui, Abdelhamid Helali, Marco Leo

“…In this study, we focus on current advances in medical imaging, particularly magnetic resonance imaging (MRI), and how machine learning (ML) and deep learning (DL) algorithms might be combined with clinical assessments to improve brain tumor diagnosis. …”
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Non-Contact Dimensional Quality Inspection System of Prefabricated Components Using 3D Matrix Camera by Wanqing Lyu, Xiwang Chen, Wenlong Han, Kun Ni, Rui Jing, Lin Tong, Junzheng Pan, Qian Wang

“…Building upon a comprehensive literature review, the hardware constituents of the 3D matrix camera image measurement system were meticulously introduced, followed by the underlying principles and implementations of data acquisition, processing and comparison methods, including parallel optical axis four-camera matrix imaging, automatic stitching algorithms for 3D point clouds, feature recognition algorithms, and matching principles. …”
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Advancements in deep learning for early diagnosis of Alzheimer’s disease using multimodal neuroimaging: challenges and future directions by Muhammad Liaquat Raza, Muhammad Liaquat Raza, Muhammad Liaquat Raza, Syed Tawassul Hassan, Subia Jamil, Noorulain Hyder, Kinza Batool, Sajidah Walji, Muhammad Khizar Abbas

“…These models can effectively process structural and functional imaging modalities, extracting relevant features and patterns associated with Alzheimer’s pathology. …”
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Optimization of Sightseeing Paths in Tourism Park Based on Improved Ant Colony Algorithm by LIANG Jianheng

“…Subsequently, the process entails distinct optimizations, utilizing the heuristic function, pheromone update mechanism, and state transition strategy within the ant colony algorithm, ultimately arriving at the optimal solution for the traveling salesman problem (TSP) and further refining paths. …”
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Early Detection of Soil Salinization by Means of Spaceborne Hyperspectral Imagery by Giacomo Lazzeri, Robert Milewski, Saskia Foerster, Sandro Moretti, Sabine Chabrillat

“…Both datasets were pre-processed with multiple data transformation algorithms and 2D correlograms, PLSR and the Random Forest regressor were tested to identify the best model for salinity detection. …”
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Optimization of Analytical Reconstruction Algorithms for Arbitrary CBCT Trajectory Using Deep Learning by Yuzhong Zhou, Linda-Sophie Schneider, Yipeng Sun, Andreas K. Maier

“…Traditional analytical methods like Filtered Back Projection (FBP) often fail to adequately process CBCT images due to the intricate and varied paths involved. …”
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Compressed sensing reconstruction algorithm based on adaptive acceleration forward-backward pursuit by Zuozhou PAN, Zong MENG, Jing LI, Ying SHI

“…Aiming at the long running time problem of the traditional forward-backward pursuit (FBP) algorithm,an adaptive acceleration forward-backward pursuit (AAFBP) algorithm was proposed.The reconstruction process of AAFBP algorithm can be divided into two stages.In the forward stage,the AAFBP algorithm used the adaptive threshold to select the right amount of atoms to join the support set.In the backward stage,based on the projection coefficient of the atoms,the deletion threshold was introduced to remove the atoms adaptively and the excessive backtracking phenomenon in adaptive process was overcome simultaneously.The proposed method can ensure the number of the selected atoms more random,and more right atoms were retained in each iteration.The simulation results of one-dimensional sparse signal and two-dimensional image show that the AAFBP algorithm has more advantages in both the accuracy of reconstruction and the running time.…”
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Lightweight Apple Leaf Disease Detection Algorithm Based on Improved YOLOv8 by LUO Youlu, PAN Yonghao, XIA Shunxing, TAO Youzhi

“…To reduce the incidence of apple diseases and increase fruit yield, developing efficient and fast apple leaf disease detection technology is of great significance. An improved YOLOv8 algorithm was proposed to identify the leaf diseases that occurred during the growth of apples.…”
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Differences in spatiotemporal dynamics for processing specific semantic categories: An EEG study by Trang Thi Le, Do Anh Quan Luong, Hyosung Joo, Dongseok Kim, Jihwan Woo

“…Despite recent advances in brain imaging techniques and data analysis algorithms, the mechanisms underlying human brain semantic representations remain a topic of debate, specifically whether this occurs through the activation of selectively separated cortical regions or via a network of distributed and overlapping regions. …”
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Development of an Algorithm for Heart Rate Measurement Using a Mobile Phone Camera by D. A. Laure, N. S. Lagutina, I. V. Paramonov

“…Heart rate can be calculated by analyzing average red component values of frames taken by the mobile cellphone camera that contain images of an area of the skin.In this paper the authors review the existing algorithms for heart rate measurement with the help of a mobile phone camera and propose their own algorithm which is more efficient than the reviewed algorithms.…”
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Application of Neuro-Wavelet Algorithm in Ultrasonic-Phased Array Nondestructive Testing of Polyethylene Pipelines by Reza Bohlouli, Babak Rostami, Jafar Keighobadi

“…This paper presents a practical NDT method of fusion joints of polyethylene piping using intelligent ultrasonic image processing techniques. In the proposed method, to detect the defects of electrofusion joints, the NDT is applied based on an ANN-Wavelet method as a digital image processing technique. …”
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Spatiotemporal correlation–based adaptive sampling algorithm for clustered wireless sensor networks by Wenyu Cai, Meiyan Zhang

“…However, a few sophisticated collection processes of sensory data will consume much more energy than traditional transmission processes such as image and video acquisitions. …”
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