Innovative novel regularized memory graph attention capsule network for financial fraud detection. by Xiangting Shi, Xiaochen Wang, Yakang Zhang, Xiaoyi Zhang, Manning Yu, Lihao Zhang

“…The findings indicate that RMGACNet routinely surpasses existing models' efficiency and accuracy while ensuring strong execution time performance, especially when handling large-scale datasets. …”
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Deep Reinforcement Learning Algorithm Based on Graph Weight Multi-Pointer Network for Solving Multiobjective Traveling Salesman Problem by Xiaoyu Fu, Shenshen Gu

“…Specifically, we encode the problem instance and weight vector by means of the graph weight encoder of the GWMPN model to construct the overall encoded feature with enhanced representation capabilities. …”
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Discriminative Cross-Modal Attention Approach for RGB-D Semantic Segmentation by emad mousavian, Danial Qashqai, Shahriar B. Shokouhi

“…As the CamVid dataset lacks depth information, we employ the DPT monocular depth estimation model to generate depth images.…”
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Damage Localization Using Fiber Bragg Grating Sensors in Self-referencing Conguration: A Numerical Study by Abhishek Patange, Farzam Omidi Moaf, Piotr Fiborek, Adityan Arumuganainar, Rohan Nandkishor Soman

“…Different feature selection methods, are used to identify critical features. …”
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The Orthotropy Effect of Underground Inclusion on the Seismic Response of Ground Surface by S. Mojtabazadeh-Hasanlouei, M. Panji, M. Kamalian

“…A favorable agreement is found between responses, confirming the capability of the proposed method for simple modeling of orthotropic subsurface features. Finally, in the form of an advanced numerical study, the surface motions of orthotropic models, including an underground inclusion embedded in a linear elastic half-space were successfully obtained under transient SH-wave propagation. …”
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A data-driven analysis of lumbar steroid injection satisfaction in patients with chronic low back pain by Maria Monzon, Iara De Schoenmacker, Andrea Cina, Réka Enz, Christian Lanz, Fabio Galbusera, Catherine R. Jutzeler, Zina-Mary Manjaly

“…A Random Forest model, validated through nested cross-validation, achieved an average precision of 0.865 in predicting treatment satisfaction. …”
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Estimating Deterioration Rate of Some Carbonate Rocks Used as Building Materials under Repeated Frost Damage Process, China by Marzouk Mohamed Aly Abdelhamid, Dong Li, Gaofeng Ren, Congrui Zhang

“…This approach proved that the disintegration rate varies for the rocks of the same type especially which were extracted from the same areas, the rock durability under frost damage conditions can be estimated with good accuracy, the parameters of this model saved a lot of time and provided important practical features to assess a rapid durability, and hence, there is no need to carry out the frost damage test which is slow and consumes time.…”
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An Ionospheric Disturbed Index Based on ROTI by Cheng Wang, Xiaoxue Min, Hong Hu

“…Furthermore, we establish a multiple linear regression model to fit the IDI, using data from Ap, F10.7, the upper atmospheric wind field, Kp, SYM‐H, and Dst indices. …”
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EmbryoNet-VGG16 framework for deep learning-based embryo classification with Otsu segmentation by M. Saraniya, J. Anitha Ruth

“…Training on 84 synthesised embryo pictures from a balanced dataset allowed our model to learn better generalisation. The healthcare imaging process begins with Otsu thresholding segmentation of embryo pictures and continues with the application of our 16-layer CNN model for embryonic quality assessment. …”
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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

“…This approach is commonly employed for spatial extraction of features, permitted the model to detect patterns that may indicate possible attacks. …”
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Dual-branch graph Transformer for node classification by Yong Zhang, Jingjing Song, Eric C.C. Tsang, Yingxing Yu

“…Meanwhile, we designed a hybrid feature mechanism that integrated original features with GNN outputs and separately optimized the construction of the query ($ Q $), key ($ K $), and value ($ V $) matrices of the intracluster and intercluster Transformers in order to adapt to the different modeling requirements of two branches. …”
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Changes in hemodynamic parameters and abdominal aortic endothelial function in the experiment with prolonged vagotonia by S. V. Gavreliuk

“…The aim of this study was to estimate of hemodynamic reaction and endothelial function on the model of long-term vagotonia. Materials and methods. …”
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Evaluation of slope stability in earthen canal using GeoStudio simulation: a multi-parameter approach for the Khush Tepa Canal project, Afghanistan by Jahanzeb Rahimi, Bashir Ahmad Karimi, Nazir Ahmad Qani

“…Furthermore, the outcomes of the investigation indicate that the correlations and the use of simulation models perform well in assessing embankment slope stability. …”
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Fish Body Pattern Style Transfer Based on Wavelet Transformation and Gated Attention by Hongchun Yuan, Yixuan Wang

“…We chose FNST (fast neural style transfer) as our baseline model and demonstrate improvements in both model parameter count and runtime efficiency. …”
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Automatic measurement of proximal femoral morphological parameters using point cloud semantic segmentation technology by Yagang Wang, Qiulong Yang, Jiantao Li, Kaixuan Wang, Miaotian Tang

“…First, construct a statistical model of the femur with generalization properties and perform Mask labeling. …”
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A Comparative Study on Traditional vs. Blockchain Financing for Deep-Tier Suppliers Considering the Time Value of Capital by Lu Liu, Yanshuo Du, Weijie Chen, Shuwei Wang

“…Our findings indicate that while BF typically features a lower interest rate than TF, it may still perform less favorably under certain conditions. …”
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Decoding student cognitive abilities: a comparative study of explainable AI algorithms in educational data mining by Tianyue Niu, Ting Liu, Yiming Taclis Luo, Patrick Cheong-Iao Pang, Shuaishuai Huang, Ao Xiang

“…In this paper, five AI models were used to model educational data. Subsequently, four interpretable algorithms, including feature importance, Morris Sensitivity, SHAP, and LIME, were used to globally interpret the results, and PSM causal tests were performed on the factors that affect students’ cognitive abilities. …”
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A systematic approach to predicting NFT prices using time series forecasting and macroeconomic factors in digital assets by Sudip Giri, Dongping Du, Mario Beruvides

“…As NFTs do not conform to traditional models, understanding their unique features is crucial for comprehending complex market dynamics. …”
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Defining ‘robotics’ for legal responsibility: A conceptual framework by Liliya V. Ivanova, Dmitriy E. Arzhilovskiy, Nikita A. Kalashnikov

“…Robotics offers significant potential, yet the absence of a universally accepted definition of the field and its components hinders the development of a clear conceptual model for legal liability. This study examines and analyzes the concepts, features, and key characteristics of “robotics” and “robot”, correlating them with the concept of “artificial intelligence”. …”
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The association of RAS association domain family Protein1A (RASSF1A) methylation states and bladder cancer risk: a systematic review and meta-analysis. by Tianyi Gao, Shukui Wang, Bangshun He, Yuqin Pan, Guoqi Song, Ling Gu, Liping Chen, Zhenling Nie, Yeqiong Xu, Rui Li

“…Under the fixed-effects model, the OR of RASSF1A methylation in bladder cancer patients, compared to non-cancer controls, was 8. 40 with 95%CI=4. 96-14. 23. …”
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