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When does 0–1 Principle Hold for Prefix Sums? 前缀和的0–1原则何时成立?
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-05-24 DOI: 10.1007/s00354-023-00219-0
Akimasa Morihata
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引用次数: 0
A Hybrid Deep Neural Approach for Segmenting the COVID Affection Area from the Lungs X-Ray Images. 从肺部X射线图像中分割新冠肺炎影响区域的混合深度神经方法。
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-05-15 DOI: 10.1007/s00354-023-00222-5
T Vijayanandh, A Shenbagavalli

Nowadays, COVID severity prediction has attracted widely in medical research because of the disease severity. Hence, the image processing application is also utilized to analyze COVID severity identification using lungs X-ray images. Thus, several intelligent schemes were employed to detect the COVID-affected part of the lungs X-ray images. However, the traditional neural approaches reported less severity classification accuracy due to the image complexity score. So, the present study has presented a novel chimp-based Adaboost Severity Analysis (CbASA) implemented in the MATLAB environment. Hence, the lung's X-ray images are utilized to test the working performance of the designed model. All public imaging data sources contain more noisy features, so the noise features are removed in the initial hidden layer of the novel CbASA then the noise-free data is imported into the classification phase. Feature extraction, segmentation, and severity specification have been performed in the classification layer. Finally, the performance of the classification score has been measured and compared with other models. Subsequently, the presented novel CbASA has earned the finest classification outcome.

如今,由于疾病的严重性,新冠肺炎严重程度预测在医学研究中受到了广泛的关注。因此,图像处理应用程序还用于使用肺部X射线图像分析新冠肺炎严重程度识别。因此,采用了几种智能方案来检测肺部X射线图像中受新冠肺炎影响的部分。然而,由于图像复杂度得分,传统的神经方法报告的严重程度分类准确性较低。因此,本研究提出了一种在MATLAB环境中实现的新的基于黑猩猩的Adaboost严重性分析(CbASA)。因此,利用肺部的X射线图像来测试所设计的模型的工作性能。所有公共成像数据源都包含更多的噪声特征,因此在新的CbASA的初始隐藏层中去除噪声特征,然后将无噪声数据导入分类阶段。在分类层中进行了特征提取、分割和严重性规范。最后,对分类得分的性能进行了测量,并与其他模型进行了比较。随后,提出的新颖CbASA获得了最好的分类结果。
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引用次数: 0
Asymptotic Time Complexity of Identification of Basic-level 基级辨识的渐近时间复杂度
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-04-20 DOI: 10.1007/s00354-023-00216-3
Mariusz Mulka
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引用次数: 0
Application of Evolutionary Algorithms in Social Networks: A Comparative Machine Learning Perspective 进化算法在社交网络中的应用:比较机器学习视角
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-04-04 DOI: 10.1007/s00354-023-00215-4
B. Rajita, Pranay Tarigopula, Phanindra Ramineni, Ashank Sharma, S. Panda
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引用次数: 2
A Novel ORLLTMLP-Based Attack Detection and Blockchain-Aware Security Framework Using LCTFA in Smart City Applications 智慧城市应用中基于LCTFA的基于orllltmlp的攻击检测和区块链感知安全框架
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-03-27 DOI: 10.1007/s00354-023-00210-9
Vivek Yoganand Anbalagan, S. Rajasekaran, T. D. Rajeeve
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引用次数: 0
Similarity-Based Hybrid Algorithms for Link Prediction Problem in Social Networks 基于相似度的混合算法在社交网络中的链接预测问题
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-03-18 DOI: 10.1007/s00354-023-00208-3
Hassen Mohamed Kerkache, Lamia Sadeg-Belkacem, F. B. Tayeb
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引用次数: 0
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems 利用Lévy飞行分布算法提高神经网络分类问题的泛化能力
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-03-14 DOI: 10.1007/s00354-023-00214-5
E. Bojnordi, S. J. Mousavirad, Mahdi Pedram, G. Schaefer, D. Oliva
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引用次数: 0
New Generation Computing Becomes the Official Journal of the Japanese Society for Artificial Intelligence 《新一代计算》成为日本人工智能学会官方期刊
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-03-01 DOI: 10.1007/s00354-023-00205-6
Y. Matsuo, R. Ichise, Yoji Kiyota
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引用次数: 0
Correction to: An Optimized Deep Learning Approach for the Prediction of Social Distance Among Individuals in Public Places During Pandemic 修正:一种优化的深度学习方法,用于预测大流行期间公共场所个人之间的社会距离
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-03-01 DOI: 10.1007/s00354-023-00207-4
Santosh Kumar Sahoo, G. Palai, Baraa Riyadh Altahan, S. Ahammad, P. P. Priya, M. Hossain, A. Rashed
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引用次数: 0
Correction to: A Graph‑Based Ontology Matching Framework 更正:基于图的本体匹配框架
IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE Pub Date : 2023-02-18 DOI: 10.1007/s00354-023-00204-7
F. Şentürk, V. Aytaç
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引用次数: 0
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New Generation Computing
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