Research on the invulnerability of regional network based on topology analysis by Changqing AN, Yujia LIU, Hui WANG, Zhiyan ZHENG, Tao YU, Jilong WANG

“…To measure the overall impact of different attacks a network region may encounter, an evaluation algorithm can be used to capture the difference in invulnerability of regional network topologies.Specifically, the vulnerability of regional network and that of connection topology between regions both internally and externally was analyzed.To find predictions between regions as supplemental topology data and create the Internet topology, data would be measured in various ways and verified.Using stratified probability sampling, multiple damage simulations could predict the worst-case scenarios in real conditions.Damage was simulated multiple times based on stratified probability sampling to approximate the damage situation of the area under real conditions.A significance tester was realized to measure the impact of damage from the overall level and special weak points respectively, discover the difference of the damage between the areas, and calculate the regional invulnerability ranking.Finally, the ranking and clustering results of forty-eight regions were given.…”
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Multifactor Stock Selection Strategy Based on Machine Learning: Evidence from China by Jieying Gao, Huan Guo, Xin Xu

“…The main findings are as follows: the support vector regression has the most stable successful rate for predicting, while ridge regression and linear regression have the most unstable successful rate with more extreme cases; algorithm of support vector regression fitting higher-degree polynomials in Chinese A-share market is optimized, compared with the traditional linear regression both in terms of stock return and retracement control; the results of support vector regression significantly outperforming the CSI 500 index prove further.…”
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Privacy leakage in online social networks based on public information by Shao-qing LV, Yu-qing ZHANG, Ping NI

“…An algorithm was proposed to predict privacy information in social network with public information. …”
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Peningkatan Akurasi Klasifikasi Algoritma C 4.5 Menggunakan Teknik Bagging pada Diagnosis Penyakit Jantung by Erwin Prasetyo, Budi Prasetiyo

“…Data mining is generally used to predict a disease originating from patient medical record data, especially heart disease. …”
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Efficient Task Scheduling Using Constraints Programming for Enhanced Planning and Reliability by JaeBong Cho, Soonil Jung, Kyungmo Yang, Dohun Kim, WonJong Kim

“…This paper presents an efficient schedule method for maintenance, repair, and overhaul (MRO) tasks for aircraft engines using a constraint programming algorithm. Using data obtained from Korean Air’s MRO maintenance logs, we analyze and predict the optimal scheduling of regular inspections and fault repairs for various engine types. …”
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The role of MRO as an M2 macrophage-associated gene in non-small cell lung cancer: insights into immune infiltration, prognostic significance, and therapeutic implications by Yue Gu, Miaosen Zheng, Jing Xie

“…Single-cell RNA sequencing data from TISCH2 evaluated MRO expression in different cell types. The ESTIMATE algorithm analyzed correlations between MRO expression and immune scores, while TIDE and Submap analyses predicted immunotherapy responses. …”
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Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort studyResearch in context by Wanshan Liu, Xiaoxiao Hu, Zhouzhou Bao, Yanyan Li, Juxiang Zhang, Shouzhi Yang, Yida Huang, Ruimin Wang, Jiao Wu, Xiaoyu Xu, Qi Sang, Wen Di, Huaiwu Lu, Xia Yin, Kun Qian

“…This panel achieved consistent areas under the curve (AUCs) of 0.87–0.89 for distinguishing between malignant and benign ovarian masses across all cohorts, and improved to AUCs of 0.95–0.99 when combined with risk of ovarian malignancy algorithm (ROMA). In vitro validation provided initial biological context for the metabolic alterations observed in our diagnostic panel. …”
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Channel-Hopping Using Reinforcement Learning for Rendezvous in Asymmetric Cognitive Radio Networks by Dongsup Jin, Minho Jang, Ji-Woong Jang, Gyuyeol Kong

“…This suggests that RL-based approaches not only offer robustness in asymmetric environments but also provide a promising alternative in more predictable settings.…”
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Lithium-ion battery state of health estimation using intelligent methods by Hemavathi S

“…This study proposes an intelligent SOH estimation algorithm utilizing Feed-forward and Recurrent Neural Networks, trained with the Levenberg-Marquardt function, to predict battery SOH under various aging conditions. …”
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Real-time urban regional route planning model for connected vehicles based on V2X communication by Pangwei Wang, Hui Deng, Juan Zhang, Mingfang Zhang

“…Second, according to the topology structure of the current regional road network, all predicted routes are listed based on the Dijkstra algorithm. …”
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Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…Additionally, the information entropy is presented as a valuable metric for quantifying the confidence (or uncertainty) associated with classification predictions. Two segmentation methods for the contour extraction were investigated: a classical approach using the watershed algorithm and a U-Net architecture. …”
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FORMATION OF RUSSIAN NATIONAL IDENTITY OF HIGH SCHOOL STUDENTS: HERMENEUTICAL APPROACH by Alfia F. Zakirova, Larissa A. Semenova

“…It is proved that the awareness of participants of the educational process in norms and values and their reinterpretation in the aspect of the search for a general national identity is able not just to make «expressible» some installations of the subject, but also can significantly affect his worldview, to make him more reliable and predictable partner of a social interaction. …”
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Modeling of CO2 solubility and partial pressure in blended diisopropanolamine and 2-amino-2-methylpropanol solutions via response surface methodology and artificial neural network by Zohreh Khoshraftar

“…The accuracy of the predictions was notably high, with coefficients of determination of 0.99581 for CO2 solubility and 0.99839 for CO2 partial pressure, achieved using the Levenberg-Marquardt algorithm. …”
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Comparison of methods for resolving the contributions of local emissions to measured concentrations by T. D. Edwards, Y. K. Wong, C.-H. Jeong, J. M. Wang, Y. Su, G. J. Evans

“…When testing algorithmic predictions of upwind-of-highway backgrounds, we found that regression models surpassed the performance of time-series methods, with best predictions having <span class="inline-formula"><i>R</i>²</span> exceeding 0.8 for all four pollutants. …”
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Reconstruction of Wing Structure Deformation Based on Particle Swarm Optimization Ridge Regression by Xinyi Wu, Zhiwei Xu, Jie Zeng

“…Results show that the PSO-RR predicts the deformation of complex wing structures under different kinds of complex load cases accurately. …”
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Analysis on waypoint-segment routing and performance evaluation for LEO satellite networks by Xin ZHAO, Guang ZHAO, Rui CHEN, Wennai WANG

“…A waypoint-segment routing (WSR) algorithm was proposed.Based on the predictable periodicity of the topological changes of satellite network, the location of satellite waypoints based on the link state of satellite nodes at the current moment was determined by WSR algorithm.The mechanism of flexible planning of packet transmission paths was responded by segment routing to changes in satellite network topology in advance, and a packet transmission path that was not affected by network topology snapshot switch was calculated.Simulation experiment was based on the NS-3, and the optimized link state routing (OLSR) algorithm and the shortest path algorithm were selected to compare with WSR in order to analyze the delay jitter and packet loss rate.It was proved that compared with OLSR, the maximum delay jitter of WSR was reduced by 46 ms and 126 ms respectively in the two scenarios, the packet loss rate was reduced by 30% and 21% respectively, and the problem of packet transmission path interruption caused by topology snapshot switching can be solved.…”
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Water Level Classification for Detect Flood Disaster Status Using KNN and SVM by Jiwa Akbar, Muchtar Ali Setyo Yudono

“…In this context, the flood disaster classification system uses water surface elevation data from the Water Resources Agency to predict the likelihood of floods using the K-Nearest Neighbors (KNN) Algorithm. …”
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Needle detection and localisation for robot‐assisted subretinal injection using deep learning by Mingchuan Zhou, Xiangyu Guo, Matthias Grimm, Elias Lochner, Zhongliang Jiang, Abouzar Eslami, Juan Ye, Nassir Navab, Alois Knoll, Mohammad Ali Nasseri

“…When evaluated on ex‐vivo pig eyes, the top performing network successfully detected all needles in the dataset and localised them with an Intersection over Union value of 0.55. The algorithm was evaluated by comparing the depth of the top and bottom edge of the predicted bounding box to the ground truth. …”
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The octoPus: An open-source software for supporting farmers in the control of grapevine downy mildew by Simone Bregaglio, Eleonora Del Cavallo, Lorenzo Ascari, Eugenio Rossi

“…Here, we introduce the octoPus, a free digital tool featuring an ensemble of models predicting grapevine downy mildew outbreaks, enhanced by a machine learning algorithm and a large language model, aimed at providing science-based and easy-to-interpret decision support. …”
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Structural Parameters on the Effective Transport Properties of Carbon Cloth Gas Diffusion Layers: Random Walk Simulations by Qingrong Jia, Hao Wang, Guogang Yang

“…A pore-scale random walk model was also developed to predict the permeability, tortuosity, and effective diffusivity of the GDLs with well-validated accuracy. …”
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