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Precision in Insurance Forecasting: Enhancing Potential with Ensemble and Combination Models based on the Adaptive Neuro-Fuzzy Inference System in the Egyptian Insurance Industry 保险预测的精确性:利用基于埃及保险业自适应神经模糊推理系统的集合和组合模型提高潜力
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-05-02 DOI: 10.1080/08839514.2024.2348413
Ahmed Khalil, Zaiming Liu, Ahmed Ali
Enhancing the precision of retention ratio predictions holds profound significance for insurance industry decision-makers and those vested in advancing insurance services. Precision helps insurance...
提高自留额比率预测的精确度对于保险业决策者和那些致力于推进保险服务的人来说意义深远。精确性有助于保险业...
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引用次数: 0
Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping 确定为限制金融部门洗钱活动而提出的基于人工智能的解决方案:系统映射
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-22 DOI: 10.1080/08839514.2024.2344415
Habib Ullah Khan, Muhammad Zain Malik, Shah Nazir
Money laundering (ML) is a critical source of extracting the money illegally from the financial system. It is linked to various types of crimes, including corruption, exploitation of a specific com...
洗钱(ML)是从金融系统中非法攫取资金的重要来源。它与各种类型的犯罪相关联,包括腐败、利用特定的公司或组织进行洗钱。
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引用次数: 0
Enhancing MIMO Antenna Isolation with Novel Electromagnetic Band Gap (EBG) Structure and Genetic Algorithm Optimization 利用新型电磁带隙(EBG)结构和遗传算法优化增强多输入多输出(MIMO)天线隔离度
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-22 DOI: 10.1080/08839514.2024.2344143
Shalini E, Prakash G
A novel Electromagnetic Band Gap (EBG) structure is proposed to minimize common connector between closely spaced rectangular patch antennas. The 2D EBG architecture is placed on the horizontal plan...
本文提出了一种新颖的电磁带隙(EBG)结构,以尽量减少紧密间隔的矩形贴片天线之间的公共连接器。二维 EBG 结构被放置在水平平面上。
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引用次数: 0
Predication of Water Pollution Peak Concentrations by Hybrid BP Artificial Neural Network Coupled with Genetic Algorithm 用遗传算法耦合混合 BP 人工神经网络预测水污染峰值浓度
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-13 DOI: 10.1080/08839514.2024.2341356
Yanbo Lu, Tong Li, Ying Deng
Water pollutions can severely affect water environment, causing water quality degradation and threatening aquatic wildlife. Deemed as guideline for maximum environmental impact assessment, water po...
水污染会严重影响水环境,导致水质恶化,威胁水生野生动物。水污染被视为最大环境影响评估的准则。
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引用次数: 0
A Security-enhanced Advertising Platform based on Blockchain and Edge Computing in Generative AI 基于区块链和生成式人工智能边缘计算的安全增强型广告平台
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-11 DOI: 10.1080/08839514.2024.2340395
Zhengjun Jing, Xiaolong Xu, Chunseng Gu, Yan Zhang, Qiang Shu
With the development of advertising technology, especially the emergence of generative artificial intelligence, the generation and editing of advertising content has become more convenient and effi...
随着广告技术的发展,特别是人工智能生成技术的出现,广告内容的生成和编辑变得更加便捷和高效。
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引用次数: 0
English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm 使用水母优化算法优化的数字孪生瓦瑟斯坦生成对抗网络的英语词汇学习辅助系统
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-11 DOI: 10.1080/08839514.2024.2327908
Fei Wu
Natural Language Processing (NLP) is a technology that permits computers to recognize human languages. Words are the fundamental unit of analysis in deep-level grammatical and semantic analysis. Th...
自然语言处理(NLP)是一种允许计算机识别人类语言的技术。词是深层语法和语义分析的基本分析单位。自然语言处理
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引用次数: 0
Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer 基于特征选择的机器学习对比分析预测乳腺癌
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-10 DOI: 10.1080/08839514.2024.2340386
Chour Singh Rajpoot, Gajanand Sharma, Praveen Gupta, Pankaj Dadheech, Umar Yahya, Nagender Aneja
Breast cancer is a serious disease, and therefore early detection is crucial for successful treatment and patient management. Unfortunately, globally, the number of breast cancer cases is increasin...
乳腺癌是一种严重的疾病,因此早期发现对成功治疗和患者管理至关重要。不幸的是,在全球范围内,乳腺癌病例的数量正在不断增加。
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引用次数: 0
Utilizing Machine Learning Techniques for Classifying Translated and Non-Translated Corporate Annual Reports 利用机器学习技术对翻译版和非翻译版公司年报进行分类
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-10 DOI: 10.1080/08839514.2024.2340393
Zhongliang Wang, Ming Liu, Kanglong Liu
Globalization has led to the widespread adoption of translated corporate annual reports in international markets. Nonetheless, it remains largely unexplored whether these translated documents fulfi...
全球化导致国际市场广泛采用翻译后的公司年度报告。然而,这些翻译文件是否满足了企业年报的要求,在很大程度上仍未得到探讨。
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引用次数: 0
An Adapted Ant Colony Optimization for Feature Selection 一种适用于特征选择的蚁群优化方法
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-01 DOI: 10.1080/08839514.2024.2335098
Duygu Yilmaz Eroglu, Umut Akcan
As information technologies evolve, they generate vast and ever-expanding datasets. This wealth of high-dimensional data presents challenges, including increased computational demands and difficult...
随着信息技术的发展,它们产生了大量不断扩大的数据集。这些丰富的高维数据带来了各种挑战,包括计算需求的增加和数据处理的困难...
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引用次数: 0
Circular Intuitionistic Fuzzy Median Ranking Model with a Novel Scoring Mechanism for Multiple Criteria Decision Analytics 采用新型评分机制的循环直觉模糊中值排序模型用于多标准决策分析
IF 2.8 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-04-01 DOI: 10.1080/08839514.2024.2335416
Ting-Yu Chen
This study aims to pioneer an innovative circular intuitionistic fuzzy (C-IF) scoring-mediated median ranking model designed for multiple criteria decision analytics. The primary goal is to establi...
本研究旨在开创一种创新的循环直觉模糊(C-IF)评分中介中值排序模型,该模型专为多标准决策分析而设计。其主要目标是建立一个基于圆的直观模糊(C-IF)模型。
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引用次数: 0
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Applied Artificial Intelligence
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