Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

“…This paper proposes a method for autonomously identifying types of approaching vessels based on an improved YOLOv8 model and ship light features, aiming to infer the propulsion mode, size, movement, and operational nature of the approaching vessels in real-time through the color, quantity, and spatial distribution of lights. …”
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Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

“…Nevertheless, about 60% of the transcriptomic signature of the stimulation was detected. If the measurement of combined surface and intracellular markers is required to be achieved, the modified fixation and permeabilization method is recommended because of a lower transcriptomic loss and more precise proteomic fingerprint detected. (4) Conclusions: The findings of this study support the potential possibility for integrating intracellular proteomics, which needs to be optimized and tested with newly designed oligonucleotide-tagged antibodies targeting intracellular proteins.…”
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Flame Atomic Emission and Colorimetric Methods for the Determination of Cephalexin Monohydrate in Pharmaceutical Preparations by Baghdad Science Journal

“…g ml-1. The detection limits are 2.573,2.814 ?g ml-1 for the flame emission photometric method and 1.844,2.016 ?…”
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Detection of human activities using multi-layer convolutional neural network by Essam Abdellatef, Rasha M. Al-Makhlasawy, Wafaa A. Shalaby

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Simple Spectrophotometric Methods for Determination of Tenofovir Fumarate and Emtricitabine in Bulk Powder and in Tablets by Mohammad H. AbdelHay, Azza A. Gazy, Rasha A. Shaalan, Heba K. Ashour

“…Different variables affecting each method were carefully investigated and optimized. …”
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Methods for assessing efficacy of cleaning and disinfection in livestock farms: a narrative review by Iryna Makovska, Evelien Biebaut, Pankaj Dhaka, Pankaj Dhaka, Leonid Korniienko, Julia Gabrielle Jerab, Laura Courtens, Ilias Chantziaras, Jeroen Dewulf

“…This review examines the various methods used to assess the effectiveness of both cleaning and disinfection, exploring their strengths, limitations, and optimal-use scenarios. …”
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Leveraging assistive technology for visually impaired people through optimal deep transfer learning based object detection model by Mahir Mohammed Sharif Adam, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Samah Al Zanin

“…Furthermore, the Faster R-CNN model is used for the object detection process. Moreover, the EATBP-ODHOA method utilizes fusion models such as ResNet and DenseNet-201 for the feature extraction process. …”
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Method Validation and Measurement Uncertainty (MU) Evaluation on Enrofloxacin and Ciprofloxacin in the Aquatic Products by Li Liu, Nanbiao Long, Juan Zhou, Manxue Liu, Shaobo He, Wuying Chu

“…This study aimed to investigate a detection method of enrofloxacin and ciprofloxacin to be avail for strictly supervising the quality and safety of aquatic products. …”
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Power Harmonic Analysis via Neural Network and Quasi-synchronous Sampling Method by PENG Daming, XIAO Shenping, ZHOU Huanxi

“…Then, based on the steepest descent method, the adaptive optimal step size in the iterative direction is determined, which makes the neural network algorithm converge to the global minimum value. …”
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A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction by Suleiman Daoud, Ahmad Nasayreh, Khalid M.O. Nahar, Wlla k. Abedalaziz, Salem M. Alayasreh, Hasan Gharaibeh, Ayah Bashkami, Amer Jaradat, Sultan Jarrar, Hammam Al-Hawamdeh, Absalom E. Ezugwu, Raed Abu Zitar, Aseel Smerat, Vaclav Snasel, Laith Abualigah

“…We demonstrate the overall effectiveness of the proposed model by using it to select the optimal features extracted from the Resnet50V2 model for pediatric brain tumor detection. …”
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A Short-Term Risk Prediction Method Based on In-Vehicle Perception Data by Xinpeng Yao, Nengchao Lyu, Mengfei Liu

“…Advanced driving assistance systems (ADASs) provide rich data on vehicles and their surroundings, enabling early detection and warning of driving risks. This study proposes a short-term risk prediction method based on in-vehicle perception data, aiming to support real-time risk identification in ADAS environments. …”
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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

“…This paper deals with detecting fetal electrocardiogram FECG signals from single-channel abdominal lead. …”
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Experimental Evaluation of Dry and Contactless Cleaning Methods for the Production of Digital Vehicle Dashboards by Patrick Brag, Yvonne Holzapfel, Marcel Daumüller, Ralf Grimme, Uwe Mai, Tobias Iseringhausen

“…The objective (cleanliness requirement) was to remove all contaminants larger than 100 µm from the lightguide with contactless (non-destructive) cleaning methods. The preferred cleaning methods of choice were compressed air and CO₂ snow jet cleaning. …”
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Development of Fluorescence-Based Method for Dopamine Determination Using o-Phthaldialdehyde and 3-Mercaptopropyltriethoxysilane by Valeriia Sliesarenko, Marijana Krstić, Urban Bren, Aleksandra Lobnik

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What Is the Best NGS Enrichment Method for the Molecular Diagnosis of Monogenic Diabetes and Obesity? by Julien Philippe, Mehdi Derhourhi, Emmanuelle Durand, Emmanuel Vaillant, Aurélie Dechaume, Iandry Rabearivelo, Véronique Dhennin, Martine Vaxillaire, Franck De Graeve, Olivier Sand, Philippe Froguel, Amélie Bonnefond

“…Genetic clinical laboratories are currently switching from Sanger sequencing to next-generation sequencing (NGS) approaches but choosing the optimal protocols is not easy. Here, we compared the sequencing coverage of 43 genes involved in monogenic forms of diabetes and obesity, and variant detection rates, resulting from four enrichment methods based on the sonication of DNA (Agilent SureSelect, RainDance technologies), or using enzymes for DNA fragmentation (Illumina Nextera, Agilent HaloPlex). …”
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HP-YOLO: A Lightweight Real-Time Human Pose Estimation Method by Haiyan Tu, Zhengkun Qiu, Kang Yang, Xiaoyue Tan, Xiujuan Zheng

“…Our method significantly enhances the real-time performance and efficiency of human pose estimation while maintaining high accuracy, offering an optimal solution for applications in complex environments.…”
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Research on over-the-horizon air combat guidance method based on dynamic RCS by SONG Shaomei, YU Yifei, LI Gai, YANG Qiming, ZHANG Jiandong

“…In order to solve the problem of target loss caused by too small target RCS in the process of long-range enemy contact, the relationship between target RCS and radar detection probability is analyzed, and a guidance method based on Particle Swarm Optimization (PSO) is proposed. …”
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Crop row centerline extraction method based on regional feature point clustering by Baofeng Ji, Hang Wang, Chunhong Dong, Song Chen, Hongtao Chen, Fazhan Tao, Ji Zhang, Huitao Fan

“…First, the 2G-R-B feature factor and an optimal adaptive threshold segmentation method are used to segment crops and background. …”
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A bearing fault diagnosis method based on hybrid artificial intelligence models. by Lijie Sun, Xin Tao, Yanping Lu

“…The process employs Maximum Second-order Cyclostationary Blind Deconvolution (CYCBD) to filter out noise from the vibration signals emitted by bearings; secondly, considering the issue with the conventional Harris Hawks Optimization (HHO) algorithm which tends to prematurely converge to local optima, the differential evolution mutation operator is introduced and the escape energy factor is improved from linear to nonlinear in IHHO; then, a double-layer network model based on DBN-ELM is proposed, to avoid the number of hidden layer nodes of DBN from human experience interference, and IHHO is used to optimize DBN structure, which is denoted as IHHO-DBN-ELM method; with the optimal structure is obtained by using a combined IHHO optimized DBN and ELM; in conclusion, the proposed IHHO-DBN-ELM approach is applied to the bearing fault detection using the Western Reserve University's bearing fault dataset. …”
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A Method for Aileron Actuator Fault Diagnosis Based on PCA and PGC-SVM by Wei-Li Qin, Wen-Jin Zhang, Chen Lu

“…This paper presents an aileron actuator fault diagnosis approach combining principal component analysis (PCA), grid search (GS), 10-fold cross validation (CV), and one-versus-one support vector machine (SVM). This method is referred to as PGC-SVM and utilizes the direct drive valve input, force motor current, and displacement feedback signal to realize fault detection and location. …”
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