Management of Delayed Onset Postoperative Hemorrhage after Anastomotic Urethroplasty by L. A. Bertrand, S. P. Elliott, B. N. Breyer, B. A. Erickson

“…Through our experience with three separate cases of significant postoperative urethral hemorrhage after EPA, we developed an algorithm for treatment beginning with conservative management and progressing through endoscopic and open techniques, as well as consideration of embolization by interventional radiology. …”
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A Game-Theoretic Response Strategy for Coordinator Attack in Wireless Sensor Networks by Jianhua Liu, Guangxue Yue, Shigen Shen, Huiliang Shang, Hongjie Li

“…In this paper, we propose an adaptive coordinator selection algorithm using game and fuzzy logic aiming at both minimizing the average number of hops and maximizing network lifetime. …”
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Deep Binary Representation for Efficient Image Retrieval by Xuchao Lu, Li Song, Rong Xie, Xiaokang Yang, Wenjun Zhang

“…In this paper, we propose a new deep hashing method for efficient image retrieval. We propose an algorithm to calculate the target hash code which indicates the relationship between images of different contents. …”
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Emergent Self‐Adaptation in an Integrated Photonic Neural Network for Backpropagation‐Free Learning by Alessio Lugnan, Samarth Aggarwal, Frank Brückerhoff‐Plückelmann, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran, Peter Bienstman

“…Using a hierarchy of such arrays coupled to a backpropagation‐free training algorithm based on simple logistic regression, a performance of 98.2% is achieved on the MNIST task, a popular benchmark task looking at classification of written digits. …”
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Hybrid Filtered-x Adaptive Vibration Control with Internal Feedback and Online Identification by Lihua Yang, Shuyong Liu, Haipeng Zhang, Haiping Wu, Haifeng Li, Jian Jiang

“…In this paper, a novel hybrid improved adaptive control strategy, feedback and online identification filtered-x LMS, namely, FOFxlms, is proposed, which introduces the residual errors to correct variable step-size, uses the estimated primary path to improve online identification, and applies internal feedback to compensate for the feedforward control. Then the FOFxlms algorithm is applied to a double-layer vibration isolation system of submarine rotating equipment, and the simulation results show that the normalized variable step-size with residual error can effectively improve convergence speed, the internal feedback can efficaciously compensate for steady-state control accuracy, and the online identification can dynamically identify the time-varying characteristics of the secondary path. …”
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A Comprehensive Review of Facial Beauty Prediction Using Multi-task Learning and Facial Attributes by Ali H. Ibrahem, Adnan M. Abdulazeez

“…We further examine the methodological challenges in defining and measuring beauty, such as data imbalances and algorithmic fairness. By synthesizing insights from psychology and machine learning, this work highlights the potential of interdisciplinary approaches to enhance the reliability and inclusivity of automated beauty prediction systems. …”
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Combined treatment of an infected paraurethral cyst by A. A. Kostin, L. V. Shaplygin, N. G. Kulchenkо, A. Mansur

“…With inflammation of the paraurethral cyst, there is still no clear treatment algorithm. In this article, we present an observation of a 29‑year‑old woman with signs of an infected paraurethral cyst. …”
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Experimental Characterisation of the Interfacial Structure during Counter-Current Flow Limitation in a Model of the Hot Leg of a PWR by Christophe Vallée, Toshifumi Nariai, Takashi Futatsugi, Akio Tomiyama, Dirk Lucas, Michio Murase

“…The structure of the interface was observed from the side of the channel test section using a high-speed video camera. An algorithm was developed to recognise the stratified interface in the camera frames after background subtraction. …”
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Deep Reinforcement Learning-Based Anti-Jamming Approach for Fast Frequency Hopping Systems by Sixi Cheng, Xiang Ling, Lidong Zhu

“…Building on this, we propose an improved multi-action deep recurrent Q-network (MA-DRQN) algorithm to determine the AFS for hopping sequence generation. …”
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Modulated Model Predictive Speed Controller for PMSM Drives Employing Voltage-Based Cost Function by Ahmed Aboelhassan, Shuo Wang, Giampaolo Buticchi, Vasyl Varvolik, Michael Galea, Serhiy Bozhko

“…The required simulation work has been developed to analyze the algorithm performance compared to proportional integral (PI), noncascaded model predictive control, and M²PC controllers. …”
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LPI‐based cooperative tactic for satellite communication uplink signal accompanied by directed and power limited jamming by Fei Wang, Xiaoyan Huang, Yiyuan Chen, Chenguang Shi, Jun Chen

“…The high‐order cumulate algorithm is used to predict the signal‐to‐noise ratio of mixed signal in the second tactic. …”
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A toolkit for quantifying individual response to herbal extracts in metabolic and inflammatory stress by Soo-yeon Park, Oran Kwon, Tim van den Broek, Jildau Bouwman, Ji Yeon Kim

“…Blood samples were collected, and a machine learning algorithm was used to predict health estimation scores based on metabolic and inflammatory responses. …”
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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

“…This research introduces an innovative synthesis method for a typical solar radiation year (TSRY) based on K‐means clustering to maximize energy harvest. The K‐means algorithm, a fundamental image processing technique, is utilized to classify images into distinct groups. …”
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Neuro-Fuzzy Model for the Prediction and Classification of the Fused Zone Levels of Imperfections in Ti6Al4V Alloy Butt Weld by Giuseppe Casalino, Sabina Luisa Campanelli, Fabrizio Memola Capece Minutolo

“…Then the imperfections were clustered using the C-means fuzzy clustering algorithm. The clusters were named after the ISO standard classification of the levels of imperfection for electron and laser beam welding of aluminium alloys and steels. …”
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Research on the Multiobjective Optimization of Microwave Wireless Power Receiving in an Unmanned Aerial Vehicle Network by Yuanming Song, Yajie Liu, Wanli Xu, Xu Yang, Rui Wang

“…In the case study, the optimization model is solved using an evolutionary algorithm, and the solution results verify the effectiveness and correctness of the model.…”
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A Vibration-Related Design Parameter Optimization Method for High-Speed Elevator Horizontal Vibration Reduction by Lemiao Qiu, Zili Wang, Shuyou Zhang, Lichun Zhang, Jie Chen

“…We adopted a multiobjective genetic algorithm to optimize the design parameters for horizontal vibration reduction and used the min-max standardization method to select an optimal solution set. …”
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Resilient robust model predictive load frequency control for smart grids with air conditioning loads by Shiluo Jike, Guobao Liu, Feng Li, Changyu Zhang, Qi Wang, Mengxia Zhou, Haiya Qian

“…By using the cone complementary linearization algorithm and the linear matrix inequality technique, a resilience robust model predictive control strategy with mixed H2/H∞ performance indexes is proposed. …”
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Designing High-Freedom Responsive Feeder Transit System with Multitype Vehicles by Zhengwu Wang, Jie Yu, Wei Hao, Tao Chen, Yi Wang

“…A mixed integer programming model and its hybrid of a metaheuristic algorithm are proposed to efficiently and integrally solve the vehicle routes and scheduling parameters according to the reservation requirements. …”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

“…First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. …”
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A projection-based approach to extend digital volume correlation for 4D spacetime measurements by Kosin, Viktor, Fau, Amélie, Jailin, Clément, Smaniotto, Benjamin, Wick, Thomas, Hild, François

“…With the proposed method, the temporal amplitude in the real test was measured for each projection leading to a temporal resolution of one tenth of a second and the analysis of 16,400 time steps. For the proposed algorithm, the sensitivity to the acquisition angle of the sample was investigated and measurement uncertainties were assessed.…”
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