Enhanced Fault Diagnosis in Milling Machines Using CWT Image Augmentation and Ant Colony Optimized AlexNet by Niamat Ullah, Muhammad Umar, Jae-Young Kim, Jong-Myon Kim

“…The proposed method provides significant improvements in fault classification while outperforming state-of-the-art methods. …”
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Unscented transformation method for robustness verification of helicopter flight control system by LIU Changqi, LI Aijun, DUAN Guangzhan, LI Zuo

“…This method employs particle swarm optimization for determining the uncertain parameters. …”
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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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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

“…Abstract Accurate tropical cyclone (TC) forecasting is critical for disaster prevention. While deep learning shows promise in weather prediction, existing approaches demonstrate limited accuracy in TC track and intensity forecasting, hindered by the lack of open multimodal datasets and insufficient integration of meteorological knowledge. …”
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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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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

“…While geographic information systems (GIS) are instrumental in the planning phase, their integration with multi-criteria methodologies enables the systematic assessment of alternatives by assigning weights to specific criteria. …”
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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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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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Multi-Vehicle Object Recognition Method Based on YOLOv7-W by Xin Liu, Jingbin Zhao, Zhi Zhang, Rongxing Wu, Xun Li

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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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Flax Fibre Extraction Techniques in the Late Middle Ages by Martina König

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TCN-QRNN model for short term energy consumption forecasting with increased accuracy and optimized computational efficiency by Lesia Mochurad, Roman Levkovych

“…Experimental results show that the proposed TCN-QRNN model outperforms traditional methods by 40% in accuracy compared to LSTM and by 8% in terms of metrics such as Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE) compared to TCN-LSTM, while reducing data processing time by 30%. …”
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Prediction of the Characteristics of Concrete Containing Crushed Brick Aggregate by Marijana Hadzima-Nyarko, Miljan Kovačević, Ivanka Netinger Grubeša, Silva Lozančić

“…The study focuses on optimizing key parameters like the minimum leaf size in the models. …”
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Optimizing rainfed cropping patterns for economic and environmental sustainability in East Lorestan Iran using GIS and LCA by Zahra Marzban, Mohamamd Reza Asgharipour

“…Policymakers can use these results to develop policies that promote sustainable agricultural practices while practitioners can adopt these methods to optimize their cultivation patterns and reduce their environmental impact.…”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…A key objective in this area is the design of ultra-compact, high-performance nanophotonic devices to pave the way for next-generation photonics. While conventional brute-force, intuition-based forward design methods have produced successful nanophotonic solutions over the past several decades, recent developments in optimization methods and artificial intelligence offer new potential to expand these capabilities. …”
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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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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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CriSALAD: Robust Visual Place Recognition Using Cross-Image Information and Optimal Transport Aggregation by Jinyi Xu, Yuhang Ming, Minyang Xu, Yaqi Fan, Yuan Zhang, Wanzeng Kong

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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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