Benchmark dataset and deep learning method for global tropical cyclone forecasting by Cheng Huang, Pan Mu, Jinglin Zhang, Sixian Chan, Shiqi Zhang, Hanting Yan, Shengyong Chen, Cong Bai

“…Comprehensive evaluations demonstrate that TCN M outperforms both existing deep learning methods and official meteorological forecasts across multiple metrics. …”
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Increasing the reliability and speed of data transmission in the rayleigh channel through the use of combining intermittent data transmission with diversity reception with optimal... by I. M. Andrianov, I. G. Kiselev, M. N. Andrianov

“…The paper discusses a method for increasing the reliability of data transmission under conditions of Rayleigh signal fading using the modes of combining intermittent radiation and coherent diversity reception of phase-keyed signals with optimal addition. …”
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Enhancing Adaptive Spectrum Access: An Intelligent Reflecting Surface Assisted CRN for Future Wireless Communication by Vishwas Srivastava, Binod Prasad

“…Furthermore, IRS optimization using the GWO yields a 7.1% increase in throughput compared to other meta-heuristic-based IRS optimization methods, and a 47.9% improvement over the unoptimized IRS. …”
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Differential Diagnosis of Peripheral Lung Lesions: Capabilities and Limitations of Current Methods by R. N. Islamov, R. A. Sharipov, M. A. Bagirov, R. K. Tukfatullin, G. V. Chitorelidze, E. V. Pavlova, R. K. Yagafarova

“…It is recommended that a comprehensive approach combining CT, characterized by high informative value, and PET scan, characterized by high sensitivity and specificity for nodules >10 mm, with invasive methods be used. VATS proves effective for lesions below 3 cm, while thoracotomy is applied to large lesions. …”
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Impact methods presterilizing cleaning and sterilization on the functional properties of endodontic instruments

“…In order to justify the selection of the optimal methods of sterilization of endodontic instruments studied the activity of new cutting and underwent repeated sterilization of endodontic instruments based on laboratory studies. …”
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Analytical modeling method for electromagnetic linear actuators considering end effects by Yuxin LI, Bo LI, Wenqing GE, Jiayu LU, Jiewei CHEN

“…On this basis, the analytical expression of electromagnetic thrust was derived by Lorentz force method. The results show that compared with finite element simulation, the maximum error of the analyzed thrust value is 9.04% when ignoring the end cap, while the maximum error of the analyzed thrust value is 3.97% when considering the end effect, which verifies the effectiveness of the proposed method; the average relative error of the experiment is 3.77%, which verifies the correctness of the proposed method. …”
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Influence of Cooking and Drying Methods on Quality Characteristics of Different Cereals Bulgur by Asmaa M. Marie, Seham Y. Gebreil

“…Interestingly, the sensory properties of the produced bulgur from various grains were not significantly affected by the cooking or drying methods. The optimal cooking time varied depending on the grain and processing method. …”
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An advanced 10K SNP panel for genotyping tomato (Solanum lycopersicum L.) via targeted genome sequencing by Yawo Mawunyo Nevame Adedze, Yanfen Xu, Song Liu, Yaran Zhao, Changjuan Mo, Renxu Zhang, Jiahui Dong, Haofa Lan, Jingjing Huang, Xingming Chen, Xuefei Gao, Qingzhen Yin, Jianan Zhang

“…A series of criteria were performed for site selection and for assessing the sequencing data effectiveness.Results and discussionThe panel designated as the GenoBaits Tomato 10K panel ultimately comprised 11,174 background sites, with 74.83% sourced from database 1 upon optimization. The uniformity_50 and capture efficiency of this panel were 98.03% and 74.84%, respectively, while the SNP detection rate was 99.34%. …”
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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

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Sustainable planning of solar plants: bibliometry and integration of GIS-multicriteria methods by Gustavo Leite Gonçalves, Lucia Maria de Araujo Lima Gaudencio, Rui de Oliveira, Ruth Silveira do Nascimento

“…The studies showcase a diverse array of multi-criteria methods, with particular emphasis on the Analytic Hierarchy Process and its synergistic combinations. …”
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A Study on Optimal Data Bandwidth of Recurrent Neural Network–Based Dynamics Model for Robot Manipulators by Seungcheon Shin, Minseok Kang, Jaemin Baek

“…The proposed method has a key point that the optimal data bandwidth can be obtained by the loss function and its derivative in the robot manipulators. …”
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Identification of Exposed Submarine Cable Status based on Optimized VMD-GAF-MCNN for Multi Sensor Fusion by WANG Wei, WANG Wendong, YOU Peng, XIAO Zexin, AN Bowen, CUI Guiyan

“…【Methods】The optimized VMD-GAF-MCNN method proposed in this paper integrates signal processing and deep learning techniques. …”
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OiSAM-FGO: an efficient factor graph optimization algorithm for GNSS/INS integrated navigation system by Zhichao Yang, Xiangjie Ding, Ying Yang, Qi Wang

“…The experiments on real-world datasets demonstrated that the OiSAM-FGO can reduce the time consumption of the optimization procedure by up to 52.24%, while achieving a performance equivalent to that of the State-of-the-Art (SOTA) FGO method and superior to the Extended Kalman Filter (EKF) method.…”
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Coordinated Reactive Power–Voltage Control in Distribution Networks with High-Penetration Photovoltaic Systems Using Adaptive Feature Mode Decomposition by Yutian Fan, Yiqiang Yang, Fan Wu, Han Qiu, Peng Ye, Wan Xu, Yu Zhong, Lingxiong Zhang, Yang Chen

“…This paper proposes a coordinated reactive power and voltage optimization method based on Filtered Multiband Decomposition (FMD). …”
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Green ILC: A Novel Energy-Efficient Iterative Learning Control Approach by Yu Dou, Emmanuel Prempain

“…This novel approach introduces a cost function that minimizes both tracking errors and control effort, enabling the system to adaptively optimize performance over iterations. Theoretical analysis and simulation results demonstrate that Green ILC not only achieves faster convergence but also provides significant energy savings compared with traditional ILC methods. …”
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A Deep Reinforcement-Learning-Based Route Optimization Model for Multi-Compartment Cold Chain Distribution by Jingming Hu, Chong Wang

“…Compared to a recent ant colony optimization algorithm, it achieves up to a 6.32% reduction in costs while being up to 1637 times faster in computation.…”
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Enhanced Particle Swarm Optimization-Based Feeder Reconfiguration Considering Uncertain Large Photovoltaic Powers and Demands by Ying-Yi Hong, Faa-Jeng Lin, Fu-Yuan Hsu

“…The system loss is minimized while the operational constraints, including reverse power and voltage variation, are satisfied due to the optimal feeder reconfiguration. …”
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A Multi-Criteria Decision-Making Framework for Evaluating Emerging Digital Technologies in Supply Chain Optimization by Nabil M. AbdelAziz, Dina Mohamed, Hasnaa Soliman

“…A sensitivity analysis confirmed the robustness of these rankings against weight variations, while comparative validation using alternative MCDM methods (e.g., CODAS,COPRAS, EDAS, and SPOTIS) further supports the reliability of the findings. …”
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Efficient optimum safety factor approach for system reliability-based design optimization with application to composite yarns by Gh. Kharmanda, I. R. Antypas

“…This model is called Reliability-Based Design Optimization (RBDO). In fact, the coupling between the mechanical modelling, the reliability analyses and the optimization methods leads to very high computational cost and weak convergence stability. …”
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Experimental investigation on addition of furfuryl alcohol to diesel plastic fuel blends and optimization using Kissing Numbers by Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

“…The results were normalized and integrated into a Python-based program to estimate the performance index, adapting a novel optimization method using Kissing Numbers that allows the identification of optimal fuel configurations. …”
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