TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables) by QI Junyan, CHE Yuhao, WANG Lei, YUAN Ruifu

“…In the problem of anchor bolt (cable) stress prediction in coal mine roadways, model training often involves complex optimization tasks such as hyperparameter tuning and learning rate selection. …”
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SciBERT Optimisation for Named Entity Recognition on NCBI Disease Corpus with Hyperparameter Tuning by Abu Salam, Syaiful Rizal Sidiq

“…Named Entity Recognition (NER) in the biomedical domain faces complex challenges due to the variety of medical terms and their context of use. …”
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Exploring Design Approaches for 3D Printed Antennas by Saul S. Carvalho, Joao R. V. Reis, Artur Mateus, Rafael F. S. Caldeirinha

“…Various printing techniques are employed to fabricate antennas with complex geometries and optimized performance. Rigorous measurements validate simulation results, addressing challenges related to printing resolution and material selection. …”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Danishefsky’s Diene vs Rawal’s Diene in [4+2] Hetero-Diels-Alder Reactions with Aldehydes by Oleksii I. Shamrai, Evgenij V. Zarudnitskii

“…Experimental results for eight aldehyde substrates have revealed key differences in their efficiency and scalability. The data obtained emphasize the complementary nature of DD and RD in synthetic applications, providing valuable recommendations for optimizing diene selection in complex organic transformations.…”
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An optimized stacking-based TinyML model for attack detection in IoT networks. by Anshika Sharma, Shalli Rani, Mohammad Shabaz

“…This ensures detection efficiently and without additional computational overhead. …”
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Reliability analysis of passive residual heat removal system for large advanced pressurized water reactors by Tianrui Li, Xinkun Xiao, Guoqing Lu, Shikang Chen, Ronghua Chen, Wenxi Tian

“…An artificial neural network is employed as a surrogate model for complex thermal-hydraulic calculations, significantly improving analysis efficiency. …”
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Multi-element synergy in photocatalytic materials integrated mechanism-design-preparation strategies by Qi Zhanfeng, Li Guancheng, Guo Xiuli

“…It is emphasized that the precise regulation of elemental species, ratios and distributions, combined with the synergistic optimization of photocatalytic mechanism and preparation process, is the key path to achieve efficient photocatalytic performance. Finally, it is proposed that future research should focus on the quantitative analysis of the complex interactions between elements and the integrated design of low-cost materials, in order to promote the practical application of photocatalytic technology in the fields of environmental treatment and energy conversion.…”
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Multi-period supply chain optimization with contango and backwardation effects using an improved hybrid genetic algorithm by Mudassar Rauf, Muhammad Imran, Jabir Mumtaz, Saima Javed, Ayesha Saeed

“…The results highlight optimal supplier selection and order allocations for each period, and performance comparisons reveal that the IHGA outperforms traditional algorithms in terms of cost efficiency, computational time, and convergence behavior.…”
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FBG-Based Weak Coherent State and Entanglement-Assisted Multidimensional QKD by Ivan B. Djordjevic

“…Regarding the WCS protocols, random base selection and FGB-MUB-based protocols are introduced. …”
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Transfer Reinforcement Learning-Based Power Control for Anti-Jamming in Underwater Acoustic Communication Networks by Liejun Yang, Yi Chen, Hui Wang

“…Simulation results demonstrated that the proposed method significantly enhanced the anti-jamming performance and communication efficiency of underwater acoustic communication even in complex interference scenarios.…”
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Urban Hierarchy Migration Model and Impact Mechanism of Graduates Admitted to the Guangdong Provincial Civil Service Examination by Wu Jinghao, Liu Ye, Tang Honglin

“…The decision-making and selection process in the selection mechanism for the migration mode of newly recruited graduates in the civil service examination is complex and dynamic, involving the interaction of multiple factors, such as government policy guidance, job characteristics, personal factors, and urban conditions, with objective limitations, personal abilities and resources, and subjective willingness. …”
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SPL-YOLOv8: A Lightweight Method for Rape Flower Cluster Detection and Counting Based on YOLOv8n by Yue Fang, Chenbo Yang, Jie Li, Jingmin Tu

“…First, the model introduces StarNet as a lightweight backbone network for efficient feature extraction, significantly reducing computational complexity and parameter counts. …”
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Design and analysis of a single source seven level common ground SC based multilevel inverter topology with high reliability by Md Tahmid Hussain, Adil Sarwar, Md Reyaz Hussan, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Mohammad Zaid, Adamali Shah Noor Mohamed, Baseem Khan

“…Existing multilevel inverter (MLI) topologies often suffer from high voltage stress, increased THD, and complex control requirements. This study aims to design a compact inverter with improved performance metrics, including efficiency, total harmonic distortion (THD), and voltage stress. …”
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A clean self-diverting acid for carbonate reservoir in deep wells at high temperatures and its performance evaluation by Xiangsen Gao, Min Wang, Xian Shi, Bin Li, Jian Mao, Poplygin Vladimir Valerievich

“…The friction reduction efficiency shows a 41.7% enhancement over traditional diverting acids (30% friction reduction rate). …”
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Large-Scale Demand Driven Design of a Customized Bus Network: A Methodological Framework and Beijing Case Study by Jihui Ma, Yang Yang, Wei Guan, Fei Wang, Tao Liu, Wenyuan Tu, Cuiying Song

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A review of eDNA technology in avian monitoring: Current status, challenges and future perspectives by Ying Ke, Tong Liu, Chenglong Han, Xue Yu, Jinmei Wang, Laixing Ding, Hongliang Pan, Xunqiang Mo, Xueqiang Lu

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A Study on the Yield Stability of Oilseed Sunflower Genotypes under Drought Stress by Nasrin Akbari, Reza Darvishzadeh

“…Based on this, several methods have been introduced for selection with optimal efficiency and high accuracy. …”
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Study on Roadheader Cutting Load at Different Properties of Coal and Rock by Xueyi Li, Binbing Huang, Guoying Ma, Qingliang Zeng

“…The results show that the simulation analysis not only provides a reliable guarantee for the accurate calculation of the cutting head load and improves the efficiency of the cutting head cutting test but also offers a basis for selection of cutting head with different geological conditions of coal or rock.…”
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