Spatial Modeling of Unemployment Rate in Counties of Iran Based on Population and Housing Census Data by Hamed Seifi, Abdollah Jalilian, Azad Khanzadi

“…Unemployment is one of the most important issues in all countries around the world. An increase in the number of unemployed in any society will cause many problems. …”
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Evaluation of the share of cultural and creative consumption in Iranian households in 2018 by Mohammad Vejdani, Mohammad Soleimani

“…One of the important issues that developing countries are looking for is moving from centralization to decentralization in the path of economic growth. …”
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Enhanced Intrusion Detection Using Conditional-Tabular-Generative-Adversarial-Network-Augmented Data and a Convolutional Neural Network: A Robust Approach to Addressing Imbalanced... by Shridhar Allagi, Toralkar Pawan, Wai Yie Leong

“…Intrusion prevention and classification are common in the research field of cyber security. …”
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Overview of Nosocomial Urinary Tract Infections by Sarah Kassab Shandaway Al-Zamali, Noori Taha Alkhafaji, Mohammed Ibrahim Anwer, Ranaa W. Younus

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Using Hybrid Artificial Intelligence Approaches to Predict the Fracture Energy of Concrete Beams by Qinghua Xiao, Congming Li, Shengxiang Lei, Xiangyu Han, Qiaofeng Chen, Zemin Qiu, Biao Sun

“…In this study, artificial intelligence approaches were tried to seek a feasible way to solve these prediction issues. Firstly, the ridge regression (RR), the classification and regression tree (CART), and the gradient boosting regression tree (GBRT) were selected to construct the predictive models. …”
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Retrieving Encrypted Images Using Convolution Neural Network and Fully Homomorphic Encryption by Emad M. Alsaedi, Alaa kadhim Farhan

“…This paper aims to address the issues of accuracy utilizing deep learning techniques as the CNN method. …”
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Improving Local Fidelity and Interpretability of LIME by Replacing Only the Sampling Process With CVAE by Daisuke Yasui, Hiroshi Sato

“…To this end, we use a conditional variational autoencoder (CVAE) to modify the sampling of LIME in the classification task to improve local fidelity and interpretability. …”
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Advancing Semantic Enrichment Compliance in BIM: An Ontology-Based Framework and IDS Evaluation by Tomo Cerovšek, Mohamed Omar

“…Empirical results from a real project using five IDS tools reveal implementation issues with the classification facet, regular expressions, and issue reporting. …”
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HORIZONTAL OBJECTIVES IN PUBLIC PROCUREMENT by V.K. Malolitneva

“…It dwells on one of the highly disputed issues, namely the terminological definition of the instrumental use of public procurement. …”
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AI-Enhanced Robotic Process Automation: A Review of Intelligent Automation Innovations by Sadia Afrin, Shobnom Roksana, Riad Akram

“…By leveraging AI techniques such as classification, text mining of neural network, RPA technologies optimize business operations and advance Industry 4.0. …”
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The Role and Position of the Macroeconomic Environment on the Revenues of Tehran Municipality by Mahdi Yazdani, Alireza Basiri

“…The financing of municipalities as local governments is one of the most important and challenging issues of the urban economy in developing and developed countries, where this issue is more important in the case of the capital of the countries. …”
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Ranking of Iranian metropolises based on urban smartness index by Somayeh Ghiasy, Sohrab Delangizan, Mohammad sharif Karimi

“…Moreover, among the metropolises in the country, city Tehran ranked highest while city Kermanshah ranked lowest in terms of smart.JEL Classification: C43, C38, O18.…”
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Review of Multivariate Time Series Clustering Algorithms by ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu

“…Lastly, from the perspective of the unique structure of multivariate temporal data, this paper outlines several challenging issues and future research directions.…”
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A Novel Human Action Recognition Model by Grad-CAM Visualization with Multi-level Feature Extraction Using Global Average Pooling with Sequence Modeling by Bidirectional Gated Recu... by Jayamohan Manoharan, Yuvaraj Sivagnanam

“…An attention mechanism was also included to boost the classification process by focusing on key temporal segments. …”
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Adaptive Graph Learning with Multimodal Fusion for Emotion Recognition in Conversation by Jian Liu, Jian Li, Jiawei Dong, Zifan Mo, Na Liu, Qingdu Li, Ye Yuan

“…On the MOSEI dataset, it achieves a 1.2% gain in binary classification accuracy (ACC-2).…”
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Anomaly Detection in Network Traffic via Cross-Domain Federated Graph Representation Learning by Yanli Zhao, Zongduo Liu, Junjie Pang

“…In addition, network traffic data are distributed across heterogeneous devices and domains, where centralized training methods face significant challenges such as data leakage and data silos. To address these issues, we propose a network traffic anomaly detection method based on cross-domain federated graph representation learning. …”
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U-SCAD: An Unsupervised Method of System Call-Driven Anomaly Detection for Containerized Edge Clouds by Jiawei Ye, Ming Yan, Shenglin Wu, Jingxuan Tan, Jie Wu

“…While existing system call-based anomaly-detection methods partially address these issues, they suffer from high false positive rates and excessive computational overhead. …”
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Clinicopathological analysis on adult IgA nephropathy patients with mild urinary abnormalities by LIU Fu-jie, XU Shi-chao, ZHANG Hua-li, TAO Jing-li, LUO Mian-na, LIU Hua-feng

“…Objective Mild urinary abnormalities are very common in clinical practice,and IgA nephropathy is the most common reason of mild urinary abnormalities in adults.Whether the patients are necessary to receive renal biopsy was controversial.In order to clarify this issue,the clinical significance of renal biopsy in mild urinary abnormalities in patients with IgA nephropathy was investigated Methods Fifty-three patients with IgA nephropathy were selected from 77 patients with mild urinary abnormalities whose renal pathological diagnosis was confirmed.The 53 patients with IgA nephropathy were divided into there group,including proteinuria with single microscopic hematuria group,single microscopic hematuria group and single proteinuria group,according to their clinical manifestations.Renal pathological severity of the 53 patients was also evaluated using the Lee’s classification and the Oxford classification of IgA nephropathy.Whether the pathological classification of IgA nephropathy was different among three clinical manifestations was analyzed at last Results Renal pathological diagnosis of 77 patients could be confirmed in 91 patients with mild urinary abnormalities who received renal biopsy.There were 53(68.8%) cases of IgA nephropathy,including 39 patients(73.6%) with proteinuria in single microscopic hematuria group,5 patients(9.4%) in single microscopic hematuria group and 9(17.0%) in single proteinuria group.According to Lee’s pathological classification,Lee’s class Ⅲ was the most common classification,counting for 54.7%(29 patients),followed by class Ⅱ(14 patients,26.4%) and class I(5 patients,9.4%).However,the severe grades,class Ⅳ and classV,accounted for 3.8%(2 patients) and 5.7%(3 patients) respectively.There was no significant difference in the Lee’s classification and the Oxford classification among three groups with different clinical manifestations(P>0.05 for all).Conclusions Different clinical manifestations can not be acted as standard to distinguish the severity of renal lesions in IgA nephropathy patients with mild urinary abnormalities.Renal biopsy should be performed on those patients without contraindication in order to screen out the patients with severe renal lesion of needing immunosuppressant treatment…”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…Among the integrated indices, LST and ALTIVI enhanced the classification accuracy by 2.75% and 2.35%, respectively. …”
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Current Situation, Existing Problems and Prospect of the Study of Social Stratification in Contemporary China by Zhang Hailun, L. A. Lebedintseva

“…At present, a social classification model has been proposed to study social stratification in China, taking into account the characteristics of China's national conditions. …”
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