Dynamic characteristics of a semi-active fractional-order inerter-based suspension with acceleration-velocity switch control by Yong Wang, Jiachen Li, Mingzhu Ji, Xiwen Qiao, Yang Wang

“…The dynamic model of the SA-FOIB suspension with AVS control is established, its dynamic response under road harmonic excitation is obtained using the averaging method, the dynamic performance under road harmonic and random excitations is analyzed and evaluated by the vehicle body acceleration, suspension dynamic deflection and wheel dynamic load, the optimized structural parameters are obtained using the genetic algorithm optimization method. …”
Get full text

Minimum Energy Demand Locomotion on Space Station by Wing Kwong Chung, Yangsheng Xu

“…To evaluate the performance of the proposed gaits and path planning algorithm, numerous simulations are performed. …”
Get full text

An intelligent stochastic optimization approach for air cargo order allocation under carbon emission constraints. by Zhenzhong Zhang, Ling Zhang, Deqiang Fu, Weichun Li

“…A new intelligent optimization method is introduced for addressing the order assignment problem under carbon emission constraints by combining the improved adaptive large-scale neighborhood search algorithm with the scenario generation technique. The method finds the optimal solution through an improved adaptive large-scale neighborhood search algorithm and uses a scenario generation technique to generate the scenarios required for evaluating candidate solutions to the high-dimensional stochastic optimization problem. …”
Get full text

Research on the Model of Industrial Interconnection Intelligent Manufacturing Supply and Demand Network and Its Robustness by Jianjia He, Tianyuan Zheng

“…The experimental results show that under the four different attack algorithms, compared with the BA model, the two models proposed in this paper have stronger robustness. …”
Get full text

The Current Role and Prospects of Electrophysiological Research Methods in Ophthalmology. Literature Review by V. N. Kazajkin, V. O. Ponomarev, A. V. Lizunov, A. E. Zhdanov, A. Yu. Dolganov, V. I. Borisov

“…This leaves the possibility and the need for the study, optimization and algorithmization of the assessment data of the differentiated criteria inherent for a particular ocular pathology. …”
Get full text

Comparison of Seizure Detection Performances of Features Based on Wavelet Transform and Empirical Mode Decomposition by Erhan Bergil, Murat Yıldız

“…The generated feature matrices are applied to different classifiers as input. It is aimed to detect different epileptic stage. …”
Get full text

Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…However, the current multi-layer quantitative analysis model still exhibits some deviations in regard to different elements. In the future, a potential avenue is to consider integrating various algorithms to establish preliminary classification models, aiming for even better quantitative analysis outcomes.…”
Get full text

Exploring the impact of deubiquitination on melanoma prognosis through single-cell RNA sequencing by Su Peng, Jiaheng Xie, Xiaohu He

“…Cells were categorized into DUB_high and DUB_low groups based on AUCell scores, followed by differential expression analysis. Importantly, we constructed a robust prognostic model utilizing various genes, which was evaluated in the TCGA cohort and an external validation cohort.ResultsOur prognostic model, developed using Random Survival Forest (RSF) and Ridge Regression methods, demonstrated excellent predictive performance, evidenced by high C-index and AUC values across multiple cohorts. …”
Get full text

Identification of a PANoptosis-related long noncoding rna risk signature for prognosis and immunology in colon adenocarcinoma by Yuekai Cui, Jie Mei, Shengsheng Zhao, Bingzi Zhu, Jianhua Lu, Hongzheng Li, Binglong Bai, Weijian Sun, Wenyu Jin, Xueqiong Zhu, Shangrui Rao, Yongdong Yi

“…Using the CIBERSORT algorithm and gene set enrichment analysis, variations in infiltrating immune cells and immune processes were observed between the two risk groups. …”
Get full text

A machine learning-based approach for constructing a 3D apparent geological model using multi-resistivity data by Jordi Mahardika Puntu, Ping-Yu Chang, Haiyina Hasbia Amania, Ding-Jiun Lin, M. Syahdan Akbar Suryantara, Jui-Pin Tsai, Hwa-Lung Yu, Liang-Cheng Chang, Jun-Ru Zeng, Lingerew Nebere Kassie

“…Following evaluation via confusion matrix analysis, evaluation metrics, and examination of receiver operating characteristics curve, it emerged that the RF algorithm exhibits superior performance when applied to our multi-resistivity data set. …”
Get full text

MMAgentRec, a personalized multi-modal recommendation agent with large language model by Xiaochen Xiao

“…Our approach provides novel perspectives for the development of multimodal recommendation systems, holding substantial practical application potential and promising to propel their evolution in the information technology domain. We conducted extensive evaluations to assess the effectiveness of our proposed model, including an ablation study, comparison with state-of-the-art methods, and performance analysis on multiple datasets. …”
Get full text

Numerical Analysis of Digital Twin System Modeling Methods Aided by Graph-Theoretic Combinatorial Optimization by Sujing Zhou

“…Secondly, a scheduling technology framework for capacity simulation evaluation and optimization is established, and batching optimization, outsourcing decision, and rolling scheduling techniques are thus proposed to form a batching optimization algorithm based on priority rules, which realizes batching processing, outsourcing decision, and rolling scheduling of production orders to optimize equipment utilization and capacity. …”
Get full text

Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

“…Extensive simulations are conducted to evaluate the performance of the proposed method against state-of-the-art algorithms in terms of coverage quality and node count. …”
Get full text

Self-organized cyber physical power system blockchain architecture and protocol by Ting Yang, Feng Zhai, Jialin Liu, Meng Wang, Haibo Pen

“…Different scales of IEEE standard bus systems are employed as experimental examples to evaluate the algorithm’s performance. …”
Get full text

Influence maximization under imbalanced heterogeneous networks via lightweight reinforcement learning with prior knowledge by Kehong You, Sanyang Liu, Yiguang Bai

“…We also analyze the effect of different graph embedding algorithms and prior knowledge on algorithmic results. …”
Get full text

Research on the On-Line Identification of Ship Maneuvering Motion Model Parameters and Adaptive Control by Jinlai Liu, Lubin Chang, Luping Xu, Fang He, Yixiong He

“…Data for identification are obtained via a maneuvering simulator and the impact of different forgetting factors on the identification process is evaluated. …”
Get full text

The Role of the TIMP1/LINC01615 Axis as a Regulator of the EMT Pathway in Gastric Cancer by Jiying Liu, Yeganeh Olyaee, Khatere Mokhtari, Chaoxiang Lv, Niloufar Salimian, Maliheh Entezari, Afshin Taheriazam, Mehrdad Hashemi, Mazaher Maghsoudloo, Ling Yuan

“…Additionally, immunological and immunotherapy analyses were conducted to evaluate the significance of TIMP1 in GCa. Pearson correlation analysis was performed between TIMP1 and all differentially expressed lncRNAs, and the most strongly correlated candidates were selected. …”
Get full text

Towards complexity in de Sitter space from the doubled-scaled Sachdev-Ye-Kitaev model by Sergio E. Aguilar-Gutierrez

“…We interpret spread complexity in terms of a time difference between antipodal observers in SdS3 space, and a boundary time difference of the dual LdS2 CFTs. …”
Get full text

Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population. by John T Murchison, Gillian Ritchie, David Senyszak, Jeroen H Nijwening, Gerben van Veenendaal, Joris Wakkie, Edwin J R van Beek

“…<h4>Materials and methods</h4>In total, a number of 337 scans of 314 different subjects with reported nodules of 3-30 mm in size were included into the evaluation. …”
Get full text

Measuring Carbon Monoxide With TROPOMI: First Results and a Comparison With ECMWF‐IFS Analysis Data by T. Borsdorff, J. Aan de Brugh, H. Hu, I. Aben, O. Hasekamp, J. Landgraf

“…Using the operational processing algorithm, we analyze six subsequent days of measurements during the commissioning phase. …”
Get full text