Flood change detection model based on an improved U-net network and multi-head attention mechanism by Fajing Wang, Xu Feng

“…Additionally, the developed model achieves an accuracy of 90.11% while maintaining a loss value of approximately 0.59, whereas other model algorithms exceed a loss value of 0.74. …”
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Low-Illumination Parking Scenario Detection Based on Image Adaptive Enhancement by Xixi Xu, Meiqi Zhang, Hao Tang, Weiye Xu, Bowen Sun, Zhu’an Zheng

“…Aiming at the problem of easily missed and misdetected parking spaces and obstacles in the automatic parking perception task under low-illumination conditions, this paper proposes a low-illumination parking space and obstacle detection algorithm based on image adaptive enhancement. The algorithm comprises an image adaptive enhancement module, which predicts adaptive parameters using CNN and integrates the low-light image enhancement via illumination map estimation and contrast-limited adaptive histogram equalization algorithms for image processing. …”
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Research on Quality Prediction for Thermal Printing Using a Particle Swarm Optimization with Back Propagation (PSO-BP) Neural Network by Chun-Ling Ho, Zhiyun Wu, Tung-Chiung Chang, Shenjun Qi

“…To enhance the predictive performance, a PSO algorithm was integrated with the PSO-BP model to refine the parameter selection, which included ambient temperature, printing speed, and printing concentration, with iterative training and validation conducted via the gradient descent algorithm. …”
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Optimized Airspace Structures and Sequencing Method for Urban Logistics Droneport by Yuan Zheng, Die Li, Zhou Shen, Chenglong Li, Zhaoxuan Zhang

“…Experimental results demonstrate that the proposed airspace design reduces take-off/landing time by 34.8% compared to conventional funnel-shaped configurations. The sequencing algorithm prioritizes high-value missions while reducing the average waiting time for low-battery drones by 47.3%, effectively alleviating endurance pressures. …”
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SiamRhic: Improved Cross-Correlation and Ranking Head-Based Siamese Network for Object Tracking in Remote Sensing Videos by Afeng Yang, Zhuolin Yang, Wenqing Feng

“…These results demonstrate the algorithm’s high precision and success rates, highlighting its practical value.…”
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MRI Biomarkers for Hand-Motor Outcome Prediction and Therapy Monitoring following Stroke by U. Horn, M. Grothe, M. Lotze

“…Several biomarkers have been identified which enable a considerable prediction of hand-motor outcome after cerebral damage already in the subacute stage after stroke. We here review the value of MRI biomarkers in the evaluation of corticospinal integrity and functional recruitment of motor resources. …”
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A Novel Approach to Pine Nut Classification: Combining Near-Infrared Spectroscopy and Image Shape Features with Soft Voting-Based Ensemble Learning by Yueyun Yu, Xin Huang, Danjv Lv, Benjamin K. Ng, Chan-Tong Lam

“…Experimental validation on a dataset comprising seven pine nut varieties demonstrated that, compared to particle swarm optimization (PSO) and the genetic algorithm (GA), the IBiEO-SP algorithm improved average classification accuracy by 5.7% (<i>p</i> < 0.01, Student’s <i>t</i>-test) under four spectral preprocessing methods (MSC, SNV, SG1, and SG2). …”
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Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy by Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, Melda Kunduk, Matthias Echternach, Stephan Dürr, Julia Werz, Michael Döllinger

“…While practical challenges remain, the integration of these modalities led to notable improvements, supporting their complementary value in enhancing diagnostic accuracy. …”
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Optimal Load Frequency Control of a Multi-Area Power System with Dead Band Effect and Generation Rate Constraints by Narender Saini, Jyoti Ohri

“…When compared to the results of other optimization approaches for the same integrated power system, such as Genetic Algorithm, Particle Swarm Optimization, and Sine Cosine Algorithm, the GWO-based PID controller outperforms them in both scenarios.  …”
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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

“…This paper addresses critical challenges in automated robotic welding, emphasizing precise weld groove profiling for pipe welding applications. By integrating advanced laser scanning technology with the Local Outlier Factor (LOF) algorithm, the research effectively mitigates outliers and compensates for incomplete data—persistent issues in dynamic manufacturing environments. …”
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Generative Adversarial Network-Based Distortion Reduction Adapted to Peak Signal-to-Noise Ratio Parameters in VVC by Weihao Deng, Zhenglong Yang

“…The experimental results demonstrate that the algorithm attains an average PSNR value of 30.1147 on the publicly accessible YUV sequence dataset, YUV Trace Dataset, which is a 9.02% enhancement compared to the original network. …”
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Multi-dimensional Taylor network optimal control strategy of MMC-RPC by SONG Pinggang, WEI Wenlong, CHEN Zijun, CHEN Zihao

“…Aiming at the parameter setting problem, the integral of the error square between the reference value and the actual value of the <italic>dq</italic> axis current was used as the output performance index, and the particle swarm optimization algorithm was used to optimize the parameters in MTN. …”
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Monte Carlo method for determination and analysis damage to the power system by D. E. Marmysh, U. I. Babaed

“…Based on indicators of the stress state, the algorithms for numerically assessing the dangerous volume and integral damage using the Monte Carlo methods, have been developed. …”
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Source Tracing of Raw Material Components in Wood Vinegar Distillation Process Based on Machine Learning and Aspen Simulation by Siqi Liao, Wanting Sun, Haoran Zheng, Qiyang Xu

“…In this study, we explore the application of advanced machine learning models in optimizing the dual-column distillation process for wood vinegar production, such as Random Forest algorithms. Through the integration of Aspen Plus simulation and deep learning, an adaptive control strategy is proposed to enhance the separation efficiency of key components under varying feed conditions. …”
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STRATEGIC GOALS AND QUALITATIVE PROGRESS INDICATORS OF THE PROCESS OF NEO-INDUSTRIALISATION OF THE MANUFACTURING INDUSTRY IN UKRAINE by Olha Ilyash, Nataliia Semenchenko, Andrii Sachenko

“…The article presents the development of tools for the analysis of the effectiveness of state and local economic policy measures, visualisation and analysis of planned and actual values of key indicators of neo-industrialisation. …”
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The logistical episteme: Tracing the location of warehousing industries in Malaysia by Brett Neilson, Ned Rossiter

“…It highlights how algorithmic models and software shape the production of space and circulation of capital, with a focus on the case of warehousing industries in Malaysia. …”
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Computational fluid dynamic and machine learning modeling of nanofluid flow for determination of temperature distribution and models comparison by Farag M. A. Altalbawy, Ahmad Alkhayyat, Ramdevsinh Jhala, Anupam Yadav, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi, Vladimir Vladimirovich Sinitsin

“…Overall, the combination of the PO algorithm and the machine learning models showcases promising results in temperature prediction. …”
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Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding by Gyeonghwa Heo, Jusouk Yoon, Jeonghwa Jeong, Young Woo Kwon, Suck Won Hong

“…To address the limitations of early works on multifunctionality in strain sensors based on resistive values, the innovative scheme harnesses the synergy of facile e‐skin fabrication and advanced decoding algorithms, creating a robust stimuli‐responsive platform. …”
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MULTI-SENSORY BRANDING AS A TOOL FOR THE FORMATION OF A POSITIVE IMAGE OF THE HIGHER EDUCATION INSTITUTION by Natalya A. Spirina

“…The purpose of this article is to study the relevance of the use of sensory branding in higher education and the development of an algorithm for educational brand, based on the use of the senses of the consumer: hearing, sight, touch, smell and taste.Methods. …”
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Quantifying ruminal health: A statistical review and application of area and time under the curve in animal science by Luis O. Tedeschi

“…These metrics distill complex, time-dependent phenomena into comprehensible values, enabling detailed comparisons of diverse processes. …”
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