Multi-Depot Pickup and Delivery Problem with Resource Sharing by Yong Wang, Lingyu Ran, Xiangyang Guan, Yajie Zou

“…Solving the MDPDPRS provides a management tool for logistics enterprises to improve resource configuration and optimize logistics operation efficiency.…”
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A Particle Swarm Optimization-Guided Ivy Algorithm for Global Optimization Problems by Kaifan Zhang, Fujiang Yuan, Yang Jiang, Zebing Mao, Zihao Zuo, Yanhong Peng

“…In recent years, metaheuristic algorithms have garnered significant attention for their efficiency in solving complex optimization problems. …”
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Comparative Study on Dynamic Mechanical Properties and Energy Dissipation of Rocks under Impact Loads by Renshu Yang, Weiyu Li, Zhongwen Yue

“…Geological conditions are often complex during rock engineering construction (such as blasting and drilling) and usually involve rocks of several or multiple lithologies. …”
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ASSESSMENT OF AVIATION SECURITY SCREENERS PROFFICIENCY BY MEANS OF APPLYING THE A. BIRNBAUM TWO-PARAMETER MODEL by B. V. Zubkov, A. K. Volkov

“…The main advantage of similar systems application is the possibility of adaptation to the individual screeners’ requirements by changing the level of training task complexity. The efficiency of applying these systems is proved by foreign researches. …”
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Spatial and Spectral Structure-Aware Mamba Network for Hyperspectral Image Classification by Jie Zhang, Ming Sun, Sheng Chang

“…Recently, a network based on selective state space models (SSMs), Mamba, has emerged as a research focus in hyperspectral image (HSI) classification due to its linear computational complexity and strong long-range dependency modeling capability. …”
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A Comprehensive Review of Explainable Artificial Intelligence (XAI) in Computer Vision by Zhihan Cheng, Yue Wu, Yule Li, Lingfeng Cai, Baha Ihnaini

“…Explainable Artificial Intelligence (XAI) is increasingly important in computer vision, aiming to connect complex model outputs with human understanding. This review provides a focused comparative analysis of representative XAI methods in four main categories, attribution-based, activation-based, perturbation-based, and transformer-based approaches, selected from a broader literature landscape. …”
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Evaluating Predictive Accuracy of Regression Models with First-Order Autoregressive Disturbances: A Comparative Approach Using Artificial Neural Networks and Classical Estimators by Rauf I. Rauf, Masad A. Alrasheedi, Rasheedah Sadiq, Abdulrahman M. A. Aldawsari

“…These findings underscore the advantages of the ANN for predictive tasks involving autocorrelated data, highlighting its robustness and suitability for complex, large-scale datasets. This study provides practical guidance for selecting optimal prediction techniques in the presence of autocorrelation, recommending the ANN as the preferred method due to its superior performance.…”
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Investigation on Imbibition Recovery Characteristics in Jimusar Shale Oil and White Mineral Oil by NMR by Dunqing Liu, Chengzhi Jia, Keji Chen

“…Specifically, when the oil phase contains complex hydrocarbon components, lighter fractions in larger pores are preferentially mobilized; when the oil composition is homogeneous, oil in smaller pores is mobilized first.…”
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Construction and scheduling optimization of renewable energy consumption forecasting system for twisted tire porcelain manufacturing industry based on deep learning by Fangrong Liao, Runlin Ran, Jiayi Zhang

“…Artificial intelligence technology is changing with each passing day, and image classification algorithms in deep learning are emerging one after another with high efficiency and accuracy. It has become possible to realize the intelligent classification algorithm of twisted tire porcelain patterns. …”
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Accelerating Content-Based Image Retrieval via GPU-Adaptive Index Structure by Lei Zhu

“…Most of them improve the retrieval efficiency via complex index structures, and few take into account the parallel implementation of them on underlying hardware, making the existing index structures suffer from low-degree of parallelism. …”
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KNOT OPTIMIZATION FOR BI-RESPONSE SPLINE NONPARAMETRIC REGRESSION WITH GENERALIZED CROSS-VALIDATION (GCV) by Andre Fajry Al Barra, Dewi Retno Sari Saputro

“…Nonparametric regression models are flexible and can capture complex relationships that may not be adequately represented by simple parametric forms. …”
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Parameter optimization for low-temperature catalytic pyrolysis in oil-based drilling cuttings treatment by HUANG Yaoqi, XIA Yufeng

“…Among various methods such as centrifugal separation, solvent extraction, surfactant hot washing, pyrolysis, etc., the thermal treatment method that removes volatile and semi-volatile pollutants (such as hydrocarbons) by pyrolysis is widely favored due to its short processing time and high removal efficiency. However, conventional pyrolysis methods operate at high temperatures, consume significant energy, and exhibit high material selectivity, which makes them prone to coking and ultimately results in low treatment efficiency. …”
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Optofluidic sorting of microparticles using Airy beams by Zhelin Qu, Kunpeng Wang, Chao Feng, Tianli Wu, Yao Zhang, Xian Zhao, Jun-Lei Wang

“…We also demonstrate more complex operations involving wavefront modulation and microfluidic devices. …”
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ANTIBIOTIC SENSITIVITY ISOLATION EVALUATION OF MAJOR MICROORGANISMS IN PERIODONTAL TISSUE PATHOLOGY by S.B. Kostenko

“…The risk of antibiotic-resistant mikrobiom potentially be associated not only with time proceeding systemic antibacterial component in the protocol complex treatment of periodontitis but with specific combinations of different used drugs duration, efficiency previously performed mechanical treatment by open or closed curettage, especially the dosing of selected antibiotics middlemen. …”
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Influencing mechanisms of solid-phase asphaltene precipitation in crude oil of Yongjin Oil Field, Junggar Basin by Yang YANG, Dongxiao ZHANG, Hao WANG, Zengmin LUN, Zhiwei GAO, Rui WANG, Wei HU

“…Solid-phase asphaltene precipitation and deposition, commonly occurring during reservoir development, lead to reservoir damage and production well blockage, seriously affecting crude oil exploitation and reducing economic efficiency. Solid-phase asphaltene precipitation is affected by the properties of crude oil and temperature/pressure condition, and is a thermodynamic issue involving complex gas-liquid-solid three-phase behavior. …”
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Targeting GDF15 to enhance immunotherapy efficacy in glioblastoma through tumor microenvironment-responsive CRISPR-Cas9 nanoparticles by Cheng Zou, Xiao Liu, Weizhong Wang, Lei He, Anan Yin, Zhengcong Cao, Maorong Zhu, Yuxin Wu, Xiaolin Liu, Jiying Ma, Yalong He, Shuning Wang, Wangqian Zhang, Wei Liu, Yingqi Zhang, Jintao Gu, Wei Lin, Kuo Zhang, Meng Li

“…This shell also contains a dual-action ligand that aids in crossing the blood‒brain barrier, targeting tumor cells, and selectively releasing Cas9/sgRNA. Our encapsulating nanoparticles demonstrated promising GBM targeting, resulting in high GDF15 gene editing efficiency within brain tumors while showing minimal off-target gene editing in high-risk tissues. …”
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Bayesian curriculum generation in sparse reward reinforcement learning environments by Onur Akgün, N. Kemal Üre

“…Successful task completion triggers the generation of more complex tasks, whereas encountering challenges results in the maintenance or minor adjustment of task complexity. …”
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Characteristics and prediction methods of coal spontaneous combustion for deep coal mining in the Ximeng mining area by Li MA, Wenbo GAO, Longlong TUO, Pengyu ZHANG, Zhou ZHENG, Ruizhi GUO

“…As a result, the predicted temperatures based on the test set coincided well with the actual values, with a mean absolute error of 0.762℃, a root mean square deviation of 1.014, and a coefficient of determination of 0.999 4. The comparison between the predicted results of the CPO-RF model and the characteristic temperatures of coal spontaneous combustion enabled the efficient discrimination of the risks of coal spontaneous combustion. …”
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Prediction models of iron level in beef muscle tissue toward ecological well-being by K. Narozhnykh

“…It contained three predictors, namely, number of erythrocytes, color index, and globulin, as a result of selection based on internal and external-quality criteria. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Regression provided robust results with minimal computational effort, while FFNN required complex tuning without a clear performance advantage. …”
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