Advances in machine learning for the detection and characterization of microplastics in the environment by M. Maksuda Khanam, M. Khabir Uddin, Julhash U. Kazi

“…Microplastics are increasingly recognized as a pervasive pollutant in both aquatic and terrestrial environments, raising pressing concerns about their ecological impacts and implications for human health. Traditional detection and quantification methods—including manual microscopy and standalone spectroscopic techniques—offer reliable accuracy but are limited by labor-intensive procedures and low throughput. …”
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Sequential Two-Mode Fusion Underwater Single-Photon Lidar Imaging Algorithm by Tian Rong, Yuhang Wang, Qiguang Zhu, Chenxu Wang, Yanchao Zhang, Jianfeng Li, Zhiquan Zhou, Qinghua Luo

“…Simulation and test results show that the imaging performance and imaging characteristics of the method are better than the current high-performance first-photon group imaging algorithm, indicating that the method has a great advantage in sparse photon counting imaging, and the method proposed in this paper constructs a clear depth and reflectance intensity image of the target scene, even in the 50,828 Lux ambient strong light and strong interference, the 0.1 Lux low-light environment, or the underwater high-attenuation environment.…”
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Efficient hardware error correction with hybrid on-offline configuration algorithm for optical processor by Zichao Zhao, Huihui Zhu, Qishen Liang, Haoran Ma, Ziyi Fu, Xingyi Jiang, Bei Chen, Yuehai Wang, Tian Chen, Yuzhi Shi, Jianyi Yang

“…We benchmark the algorithm’s performance in complex-valued matrix configuration and classification tasks, demonstrating robust error correction capabilities, including high reconstruction fidelity (≥98%), rapid convergence (≤10 iterations), and reduced dependence on detection devices. …”
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An Algorithm for Estimating the Velocity of a Moving Target Based on Mellin Matched Filter by A. A. Monakov

“…The proposed algorithm for constructing a radar image can be used in SAR systems designed for detection and velocity estimation of a moving target.…”
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Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI by V. J. H. Trees, V. J. H. Trees, P. Wang, P. Stammes, L. G. Tilstra, D. P. Donovan, D. P. Donovan, A. P. Siebesma

“…Here we use the cloud shadow detection algorithm DARCLOS to detect cloud shadow pixels in the TROPOMI absorbing aerosol index (AAI) product over Europe during 8 months. …”
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TinySurveillance: An Extra Low-Power Event-Based Surveillance Method for UAVs by Arash Farahdel, Alimul H. Khan, Hossein Keshmiri, Khan A. Wahid

“…The surveillance starts automatically when the low-power AI-based onboard processor detects the desired event. …”
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Visualization of Anomalies using Graph-Based Anomaly Detection by Ramesh Paudel, Lauren Tharp, Dulce Kaiser, William Eberle, Gerald Gannod

“…Network protocol analyzers such asWireshark are valuable for analyzing network traffic but pose a challenge in that it can be difficult to determine which behaviors are out of the ordinary due to the volume of data that must be analyzed. Network anomaly detection systems can provide vital insights to security analysts to supplement protocol analyzers, but this feedback can be difficult to interpret due to the complexity of the algorithms used and the lack of context to determine the reasoning for which an event was labeled as anomalous. …”
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Overcoming Stagnation in Metaheuristic Algorithms with MsMA’s Adaptive Meta-Level Partitioning by Matej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber

“…When stagnation occurs, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>s</mi><mi>M</mi><mi>A</mi></mrow></semantics></math></inline-formula> divides the optimization run into partitions, restarting the MA for each partition with function evaluations guided by solution history, enhancing efficiency without modifying the MA’s internal logic, unlike algorithm-specific stagnation controls. The experimental results on the CEC’24 benchmark suite, which includes 29 diverse test functions, and on a real-world Load Flow Analysis (LFA) optimization problem demonstrate that MsMA consistently enhances the performance of all tested algorithms. …”
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Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…Only one false positive was detected， with a minor error of 1.52%. These results highlight the algorithm’s robustness and precision in handling noisy data. …”
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Big Data Oriented Novel Background Subtraction Algorithm for Urban Surveillance Systems by Ling Hu, Qiang Ni, Feng Yuan

“…In this paper, we propose a novel automatic background subtraction algorithm for urban surveillance systems in which the computer can automatically renew an image as the new background image when no object is detected. …”
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Research on APF-Dijkstra Path Planning Fusion Algorithm Based on Steering Model and Volume Constraints by Xizheng Wang, Gang Li, Zijian Bian

“…For the local oscillation phenomenon of the APF algorithm in the face of static U-shaped obstacles, the path cusp phenomenon caused by the vehicle corner and path curvature constraints is not taken into account, as well as the low path safety caused by ignoring the vehicle volume constraints. …”
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Intelligent Analysis of Flow Field in Cleaning Chamber for Combine Harvester Based on YOLOv8 and Reasoning Mechanism by Qinglin Li, Ruihai Wan, Zhaoyue Wu, Yuting Yan, Xihan Zhang

“…This paper studied an intelligent method to analyze simulation result data which is based on the object detection algorithm and the reasoning mechanism. YOLOv8, one of the deep learning object detection algorithms, was selected to identify key-point data from the flow field in a cleaning chamber. …”
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Development of a Fault Prediction Algorithm for Marine Propulsion Energy Storage System by Jaehoon Lee, Sang-Kyun Park, Salim Abdullah Bazher, Daewon Seo

“…Additionally, a recursive multi-step prediction model is developed to anticipate long-term battery performance trends. The proposed algorithm effectively detects voltage deviations and pre-emptively predicts battery failures, mitigating fire hazards and ensuring operational stability. …”
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Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

“…We introduce a novel, computationally efficient soft-sensor algorithm that detects and isolates aggressive maneuvers using sensor data from existing road quality measurement systems, classifying them into four categories. …”
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ANTi-JAM solutions for smart roads: Ant-inspired traffic flow rules under CAVs environment by Marco Guerrieri, Nicola Pugno

“…The macroscopic traffic flow variables of interest were estimated using the deep learning method and the YOLO detection algorithm. …”
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Iron status among blood donors deferred due to low haemoglobin level by Kovač Mirjana, Erić Bojana, Stojneva-Istatkov Jelena, Lukić Vojislav, Milić Ana, Vukićević Dragana, Orlić Dušan, Tomić Branko

“…Based on our results, the determination of the algorithm in the iron deficiency detection is necessary, while the capillary method (HemoCue) represents a more convenient method for Hb testing prior to blood donation.…”
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Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Subsequently, five machine learning algorithms and three deep learning algorithms are employed to predict traffic flow. …”
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DIO-SLAM: A Dynamic RGB-D SLAM Method Combining Instance Segmentation and Optical Flow by Lang He, Shiyun Li, Junting Qiu, Chenhaomin Zhang

“…Feature points from moving objects can negatively impact the accuracy of Visual Simultaneous Localization and Mapping (VSLAM) algorithms, while detection or semantic segmentation-based VSLAM approaches often fail to accurately determine the true motion state of objects. …”
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HER2-low breast cancer. Diagnostics, treatment and its adverse events by Hanna Bartkowiak, Damian Grubski, Kacper Ziarnik, Filip Nadolny, Jędrzej Jabłoński, Martyna Kania, Agnieszka Adamowska, Alicja Śniatała

“…The objective was also to underscore the importance of detecting low and very low expression of HER2 receptors. …”
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Intelligent Troubleshooting of Vertical Bandsaws, Leveraging Ensemble Learning on Low-Level Data by Wisal Muhammad, Haseeb Khan, Tariq Kamal, Dahoon Ahn, Ki-Yong Oh

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