Exploring Image Decolorization: Methods, Implementations, and Performance Assessment by Ivana Žeger, Ivan Šetka, Domagoj Marić, Sonja Grgic

“…The decolorization methods were also examined in the context of object segmentation and edge detection. The results from segmentation and edge detection were aligned with the decolorization results, revealing that certain objective metrics for evaluating decolorization more effectively assessed the properties of the decolorized images, which are crucial for successful object segmentation and edge detection.…”
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Ultrasonic activated energy-efficient autonomous camera system for activity observation by Sechemane Sifiso, Barnard Anthony, Young Andrew, van Niekerk Theo

“…The system’s design aims to reduce unnecessary power consumption by activating energy-intensive components, such as the camera and LED lights, only when nearby objects are detected. Key functionalities, including distance sensing and object detection, are evaluated across multiple tests to assess system performance. …”
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Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm by Shun Cheng, Zhiqian Wang, Shaojin Liu, Yan Han, Pengtao Sun, Jianrong Li

“…Underwater object detection is highly complex and requires a high speed and accuracy. …”
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Small bowel capsule endoscopy examination and open access database with artificial intelligence: The SEE‐artificial intelligence project by Akihito Yokote, Junji Umeno, Keisuke Kawasaki, Shin Fujioka, Yuta Fuyuno, Yuichi Matsuno, Yuichiro Yoshida, Noriyuki Imazu, Satoshi Miyazono, Tomohiko Moriyama, Takanari Kitazono, Takehiro Torisu

“…However, creating a functional AI model is challenging. We attempted to create a dataset and an object detection CE AI model to explore modeling problems to assist in reading small bowel CE. …”
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Ultrasonic Nondestructive Testing Image Enhancement Model Based on Super-Resolution Imaging by Jinxuan Zhu, Guoyou Wang, Kang Luo, Xinfang Zhang

“…Ultrasonic nondestructive testing has been widely used in various industries due to its simple operation and harmlessness for the object to be detected. However, due to the mechanism of ultrasonic image generation, the generated ultrasonic images often have low resolution, which greatly affects the final detection results. …”
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Smart Car Damage Assessment Using Enhanced YOLO Algorithm and Image Processing Techniques by Muhammad Remzy Syah Ramazhan, Alhadi Bustamam, Rinaldi Anwar Buyung

“…Recent advancements in artificial intelligence have given rise to a state-of-the-art object detection algorithm, the You Only Look Once algorithm (YOLO), that sets a new standard in smart and automated damage assessment. …”
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Incremental cooperative spectrum sensing algorithm with n-out-of-K fusion rule by Xiao-ge ZHANG, Shi-bing ZHANG, Gong-an QIU

“…The algorithm divided the total relays into two subsections.The front subsection included N number of relays,and the later one included K−N number of relays.Firstly,the front N relays sensed the spectrum.If no more than m_L number of relays had detected the existing of the primary user,the global detection was that the spectrum holes existed.If more than m_H number of relays had detected the existing of the primary user,the global detection was that no spectrum holes existed.Otherwise,the later K−N number of relays continued to sense the spectrum.The global detection was that the spectrum holes existed only when there were totally over n number of relays having detected the existing of the primary user in the two sensing stages.The object function was built for minimizing the time-slot consumption by adjusting the parameters m_L,m_H and N with the limit of detection probability and false probability.Simulation results show that the proposed incremental cooperative spectrum sensing algorithm has much lower time-slot consumption than the traditional one by properly setting the parameters with high sensing performance kept.…”
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Determination of optimal imaging parameters of hyperspectral images using the identification module by Chilikin Andrey, Pupin Daniil

“…The presented device is used for imaging process to detect fruit diseases at an early stage. Hyperspectral monitoring is a proven non-invasive method for detecting foetal damage. …”
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Application of graph theory in liver research: A review by Xumei Hu, Longyu Sun, Rencheng Zheng, Xueqin Xia, Meng Liu, Weibo Chen, Xinyu Zhang, Chengyan Wang

“…Functional networks for the liver have also been developed with graph‐based methods, providing insights into the metabolic processes occurring in the liver and the functional organization of the liver. …”
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Performance for rotor system of hybrid electromagnetic bearing and elastic foil gas bearing with dynamic characteristics analysis under deep learning. by Xiangxi Du, Yanhua Sun

“…The bearing-rotor system is prone to faults during operation, so it is necessary to analyze the dynamic characteristics of the bearing-rotor system to discuss the optimal structure of the convolutional neural network (CNN) in system fault detection and classification. The turbo expander is undertaken as the research object. …”
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The first experience of creating a mobile application for diagnosis and correction of nutritional deficiency in cancer patients by E. V. Kayukova, T. A. Ignatenko, V. A. Mudrov, L. F. Sholokhov

“…The mobile application was developed based on the object-oriented programming language Object Pascal (Borland Delphi). …”
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Nano-/Microrobots for Environmental Remediation in the Eyes of Nanoarchitectonics: Toward Engineering on a Single-Atomic Scale by Anna Jancik-Prochazkova, Katsuhiko Ariga

“…Synergy between morphology, materials, and surface decorations and its projection to the overall functionality is the object of nanoarchitectonics. Here, we scrutinize the engineering of nano-/microrobots with the eyes of nanoarchitectonics: we list general concepts that help to assess the synergy and limitations of individual procedures in the fabrication processes and their projection to the operation at the macroscale. …”
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ADWNet: An improved detector based on YOLOv8 for application in adverse weather for autonomous driving by Xinyun Feng, Tao Peng, Ningguo Qiao, Haitao Li, Qiang Chen, Rui Zhang, Tingting Duan, JinFeng Gong

“…Abstract Drawing inspiration from the state‐of‐the‐art object detection framework YOLOv8, a new model termed adverse weather net (ADWNet) is proposed. …”
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Kratopenia as an indicator of sarcopenia in smokers: Cut-off points for peak knee torque. by Paolla Sanches, Karina A de S Souza, Alexandre R P Ambrozin, André R Pereira, Leandro L da Silva, Amanda S Cano, Luciana Pinato, Tiago V Barreira, Dionei Ramos, Mahara Proença

“…Thus, focusing on the effects of smoking on muscle function, the objective was to investigate cut-off points based on functional limitation and identify the presence of kratopenia in smokers. …”
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Port terminal mobile recognition based on combined YOLOv5s-DeepSort. by Chengzhi Wang, Donghong Chen, Zhen Liu, Yuanhao Li, Yifei Wang, Sanglan Zhao

“…Finally, the original classification loss function was enhanced using a distributed sorting loss approach to mitigate the imbalance among loaded objects and the influence of background variations in the dock image sequence. …”
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Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

“…This design enables DVE-YOLO to capture dynamic object features, reveal correlations of detected objects across frames, and facilitate efficient tracking and detection. …”
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DeBo: Contrast enhancement for image registration using binary differential evolution and bat optimization. by Muhammad Adeel Akram, Tallha Akram, Umer Javed, Muhammad Rafiq, Mehvish Naz, Di He

“…Contrast stretching enhances image quality, facilitating the object detection process. In this study, we proposed a hybrid binary differential evolution and BAT optimization model to enhance contrast stretching by optimizing a decision variables in the transformation function. …”
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Class Imbalance in the Automatic Interpretation of Remote Sensing Images: A Review by Pengdi Chen, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…Especially in tasks such as classification mapping, object detection, change detection, and scene classification, the classes of training samples required by machine learning exhibit uneven distribution, which seriously affects the accuracy of model training. …”
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Multiphysics Coupling Model of Rock Mass considering Damage and Disturbance and Its Application by Wei Wang, Zhouquan Luo, Yaguang Qin, Jun Xiang, Lei Wen, Shaowei Ma

“…Taking an excavation stope as the object, the characteristics of the mining-induced stress, seepage, and failure were analyzed by an improved multiphysics coupling model and compared with actual detection data. …”
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Precise Rail Transit Sleeper Positioning Technology Based on Improved YOLOv8n Model by YAN Xiaoxia, GUO Jianqin, ZHAI Huchao, LIU Yutao, LI Junxin, WANG Liangxian

“…Through optimization of loss function and structural constraints on sleeper counting, a sleeper object detection model YOLOv8n_SC is proposed based on the improved YOLOv8n model. …”
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