Double Deep Q-Network-Based Solution to a Dynamic, Energy-Efficient Hybrid Flow Shop Scheduling System with the Transport Process by Qinglei Zhang, Huaqiang Si, Jiyun Qin, Jianguo Duan, Ying Zhou, Huaixia Shi, Liang Nie

“…In addition, 36 test instances of varying sizes, simplified from the excavator boom manufacturing process, are designed for comparative experiments with traditional algorithms. The experimental results demonstrate that DDQCE achieves 40% more Pareto-optimal solutions compared to NSGA-II and MOEA/D while requiring 10% less computational time, confirming that this algorithm efficiently solves the TDEHFSP problem.…”
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Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. …”
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A Review of Newborn Screening for VLCADD: The Wisconsin Experience by Breanna Mitchell, Jessica Scott-Schwoerer, Ashley Kuhl, Kristina Garcia, Patrice Held

“…A previous retrospective review of VLCADD screen positive cases identified between 2000 and 2014 resulted in a change to the screening algorithm. Following implementation, a reduction in the percentage of false positive screens from 25.3% to 20.4% was observed between 2015 and 2021. …”
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TVGeAN: Tensor Visibility Graph-Enhanced Attention Network for Versatile Multivariant Time Series Learning Tasks by Mohammed Baz

“…Each node in the TVG represents the MTS observations at a particular time, while the weights of the edges are defined based on the visibility angle algorithm. …”
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Thermal, solutal, and radiative oscillatory behavior in vibrating inclined chambers with Non-Darcy porous media by Z.Z. Rashed, Sameh E. Ahmed

“…The dimensionless proposed systems are solved via the finite volume technique, and the pressure distribution is handled using an implicit algorithm. Key results show that at a specific time, the modulation amplitude causes a diminishing in the heat transfer coefficients, while at lower time values, it leads to a raising in the vibrational flow. …”
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THOR2: Topological Analysis for 3D Shape and Color‐Based Human‐Inspired Object Recognition in Unseen Environments by Ekta U. Samani, Ashis G. Banerjee

“…Robot. 2024, 40, 886) while capturing object color information through slicing‐based color embeddings computed using a network of coarse color regions. …”
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Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning by Ryota NONAMI, Mitsuru KITAMURA

“…Optimizing stiffened panel structures used in ships and aircrafts are becoming increasingly important for reducing material costs while maintaining or enhancing structural strength. …”
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Advanced Text Summarization Model Incorporating NLP Techniques and Feature-Based Scoring by Estabraq Abdulreda Kadhim, Mohammad-Reza Feizi-Derakhshi, Hadi S. Aghdasi

“…The most common traditional approaches to summarizing large texts while retaining their importance are TF-IDF and TextRank. …”
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Optimal Allocation Method of Integrated Energy System Considering Joint Operation of Multiple Flexible Resources by DENG Qianwen, LI Qi, QIU Yibin, LI Doumeng, HUO Shasha, CHEN Weirong

“…Under the “carbon peaking and carbon neutrality” strategy, the penetration ratio of renewable energy is increasing, while the lack of flexible resources becomes a growing challenge. …”
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Dynamic externalities of basic medical insurance compensation, health capital accumulation, and economic growth by Xinyue Yuan, Xujin Yang

“…BackgroundA strong healthcare system plays a vital role in reducing the financial burden on households while simultaneously promoting sustainable economic development. …”
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ANALYSIS OF THE PRESSURE DISTRIBUTION ON RAIL SEAT OF CONCRETE SLEEPERS UNDER 40- TONNE AXLE LOAD by AN BoYang, YANG JiZhong, LIU Chao, ZHAO Xin, WEN ZeFeng, JIN XueSong

“…The FE model is first validated by comparing the calculated results with those of a traditional simplified algorithm. More results have shown that（ 1） the typical heavy haul track structure in China can meet the requirements of 40- tonne axle load,but the stress on the top of subgrade exceeds the bearing capacity considered in normal design;（ 2） with the increase of the lateral wheel-rail contact force,the width（ along the lateral） of the contact patch between the railpad and the sleeper decreases and the length keeps almost unchanged,thereby the maximum pressure increases and its location moves towards the field side in the lateral;（ 3） Under the typical wheel-rail contact forces,the pressure distribution on the rail seat changes significantly when the stiffness of the railpad increases from 80 MN / m to 200 MN / m,while un-affected as the stiffness further increases to 1300 MN / m;（ 4） Assuming a constant dynamic amplification factor,the pressure on the rail seat decreases as the rail fastening system fails,and correspondingly,the shape of contact patch between the rail pad and the sleeper becomes more irregular due to less constraints.…”
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On the Combination of Harmonics and Polynoms in Econometric Modeling of RUB/AZN Exchange Rate by L. M. Mamedova

“…An increase/decrease in exchange rate pressure affects the likelihood of a ruble-manat crisis, while this phenomenon may negatively/positively affect the foreign trade balance and may make it difficult/easier to import resources, goods and services between countries. …”
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A Dynamic Hill Cipher with Arnold Scrambling Technique for Medical Images Encryption by Yuzhou Xi, Yu Ning, Jie Jin, Fei Yu

“…Moreover, the Peak Signal to Noise Ratio (PSNR) and Number of Pixel Change Rate (NPCR) of the proposed DHCAST algorithm reach 9.51 and 99.74%, respectively, which effectively validates its excellent encryption quality and attack prevention ability.…”
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Low-noise optimization design for underwater series-connected multi-sphere composite shell structure by Hefan LI, Guanjun ZHANG, Yuzhao KE

“…The particle swarm optimization (PSO) algorithm was employed to optimize the underwater radiation noise of the model, and the results were verified through the finite element method. …”
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Maize Classification in Arid Regions via Spatiotemporal Feature Optimization and Multi-Source Remote Sensing Integration by Guang Yang, Jun Wang, Zhengyuan Qi

“…The recursive feature elimination random forest (RF-RFE) algorithm was employed for feature selection and model optimization. …”
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River floating object detection with transformer model in real time by Chong Zhang, Jie Yue, Jianglong Fu, Shouluan Wu

“…The enhancement of the RepBlock with Conv3XCBlock, along with the integration of a parameter-free attention mechanism within the convolutional layers, underscores our commitment to efficiency, ensuring that the model prioritizes valuable information while suppressing redundancy. A comparative analysis with existing detection models not only validates the effectiveness of our approach but also highlights its superiority and adaptability. …”
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Role of two isothermal cylinders towards three-dimensional flow and melting of phase-change materials by Sameh E. Ahmed, Zahra S. Hafed, M.A. Mansour, Eman F. Mohamed, M.A.Y. Bakier

“…The enthalpy-porosity approach is applied to model the PCM behavior, while the Brinkman-extended non-Darcy model accounts for high-velocity flow situations. …”
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Topology Knapsack Problem for Geometry Optimization by Hsiao-Hui Li, Po-Chun Chang, Yuan-Hsun Liao

“…It also shows superior performance compared to popular community detection algorithms. The use of t-SNE for dimensionality reduction and K-means for clustering provides an effective solution for multi-attribute optimization. …”
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Global foot-and-mouth disease risk assessment based on multiple spatial analysis and ecological niche model by Qi An, Yiyang Lv, Yuepeng Li, Zhuo Sun, Xiang Gao, Hongbin Wang

“…Serotype SAT2 is prevalent in Africa and the Middle East, while Serotypes SAT1 and SAT3 are restricted to Africa. …”
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Signal mining and risk analysis of tisotumab vedotin adverse events based on the FAERS database by JuanJuan Li, Yang Zhao, Xueqin Yang, Juan Zheng, Ting Yuan, Qian Tang, Mei Guo

“…At the system organ class (SOC) level, only eye disorders (reporting odds ratio [ROR] = 11.53, proportional reporting ratio [PRR] = 9.53, information component [IC] = 3.25, and empirical bayes geometric mean [EBGM] = 9.53) and blood and lymphatic system disorders (ROR = 2.31, PRR = 2.26, IC = 1.18, and EBGM = 2.26) satisfied all four algorithms concurrently. The most common AE associated with TV is peripheral neuropathy (ROR = 23.03), while symblepharon (ROR = 1094.23) exhibited the strongest signal strength in the ROR algorithm. …”
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