6篇
您的检索式：作者名="Muhammad Nadeem Akram"
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| 1 | A design study of dual-field-of-view imaging systems for the 3-5 μm waveband utilizing focal- plane arrays 显示文摘 | Muhammad Nadeem Akram | 2003 | J Opt A: Pure ApplOpt2003，5，4： | 1 |
| 2 | Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images显示文摘Around one in eight women will be diagnosed with breast cancer at some time.Improved patient outcomes necessitate both early detection and an accurate diagnosis.Histological images are routinely utilized in the process of diagnosing breast cancer.Methods proposed in recent research only focus on classifying breast cancer on specific magnification levels.No study has focused on using a combined dataset with multiple magnification levels to classify breast cancer.A strategy for detecting breast cancer is provided in the context of this investigation.Histopathology image texture data is used with the wavelet transform in this technique.The proposed method comprises converting histopathological images from Red Green Blue(RGB)to Chrominance of Blue and Chrominance of Red(YCBCR),utilizing a wavelet transform to extract texture information,and classifying the images with Extreme Gradient Boosting(XGBOOST).Furthermore,SMOTE has been used for resampling as the dataset has imbalanced samples.The suggested method is evaluated using 10-fold cross-validation and achieves an accuracy of 99.27%on the BreakHis 1.040X dataset,98.95%on the BreakHis 1.0100X dataset,98.92%on the BreakHis 1.0200X dataset,98.78%on the BreakHis 1.0400X dataset,and 98.80%on the combined dataset.The findings of this study imply that improved breast cancer detection rates and patient outcomes can be achieved by combining wavelet transformation with textural signals to detect breast cancer in histopathology images. | Arslan Akram Javed Rashid Fahima Hajjej Sobia Yaqoob Muhammad Hamid Asma Arshad Nadeem Sarwar | 2023 | Computers, Materials & Continua2023，77，10： | 1 |
| 3 | Design of a multiple-field-of-view optical system for 3 to 5μm infrared focal-planearrays显示文摘 | Muhammad Nadeem Akram | 2003 | Optical Engineering2003，42，6： | 1 |
| 4 | Design of a multiple-field-ofview optical system for 3-to 5-um infrared focal-plane arrays显示文摘 | Muhammad Nadeem Akram | 2003 | SPIE2003，42，6： | 1 |
| 5 | Design of a dual field-of-view optical system for infrared focal-plane arrays显示文摘 | Muhammad Nadeem Akram | 2002 | SPIE2002，4647，： | 1 |
| 6 | 用人工神经网络混合元启发式优化技术分析不可压缩黏性流体在收敛和发散通道中的流动:一种智能方法显示文摘本文采用人工神经网络(ANN)与进化算法(特别是阿基米德优化算法(AOA)和水循环算法(WCA)相结合的方法)对非线性磁流体动力学(MHD)的Jeffery-Hamel问题,特别是收敛和发散通道中的拉伸/收缩问题进行了数值研究。这种组合技术被称为ANN-AOA-WCA。将基于复杂非线性磁流体动力学Jeffery-Hamel问题的偏微分方程转化为速度和温度的非线性常微分方程系统,我们建立了基于人工神经网络的适应度函数来求解非线性微分问题。随后,采用了一种新的AOA和WCA结合方法(AOAWCA)来优化基于神经网络的适应度函数,并确定了神经网络的最优权值和偏差。为了证明提出混合方法的有效性和多功能性,探索了一系列雷诺数、通道角和可拉伸边界值的MHD模型,从而开发了两种不同的情况。ANN-AOA-WCA的数值结果与参考解(NDSOLVE)非常接近,NDSOLVE与ANNAOA-WCA的绝对误差约为3.35×10^(−8),对可拉伸收敛和发散通道的理解特别关键。此外,为了验证ANN-AOA-WCA技术,我们对150多个独立运行进行了统计分析,以获得适应度值。 | ASLAM Muhammad Naeem RIAZ Arshad SHAUKAT Nadeem ALI Shahzad AKRAM Safia BHATTI M.M. | 2023 | Journal of Central South University2023，30，12： | 0 |
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