Pulse laser ablated growth of Au-Ag nanocolloids: Basic insight on physiochemical attributes

Salim, A.A.; Ghoshal, Sib Krishna; Bakhtiar, Hazri; Krishnan, Ganesan; Aziz, M. S.; Sapingi, Husni Hani Jameela

doi:10.1088/1742-6596/1484/1/012011

Cited by 10 publications

(8 citation statements)

References 18 publications

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“…Also, [20] used the K-mean clustering, but this time with the Zack algorithm; unfortunately, the authors used only seven images to evaluate the proposed method and got an overall segmentation accuracy of 96.60. Similarly, [21][22][23][24][25] proposed an ALL segmentation approach based on hybrid histogram-based soft covering rough k-means clustering. In addition, they used several features extracted from 350 images derived from the Gray Level Cooccurrence matrix and got an overall segmentation accuracy above 90%.…”

Section: Related Workmentioning

confidence: 99%

Acute lymphoblastic leukemia image segmentation based on modified HSV model

Najjar

Khudhair

et al. 2023

J. Phys.: Conf. Ser.

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Image segmentation is a critical step in computer-aided diagnosis that could speed up Leukemia detection. Leukemia is a cancer of the blood that has a reputation for being particularly lethal. Based on the immunohistochemical method, the leukocytes can be manually counted in a stained peripheral blood smear image to detect Acute Lymphoblastic Leukemia (ALL). Regrettably, the manual diagnosis process takes about 3 to 24 hours to complete, which is insufficient. This paper introduced a new and straightforward ALL image segmentation approach based on color image transformation. First, Leukemia, ALL-IDB1, ALL-IDB2, and ALL image datasets were used in this paper. The Leukemia dataset includes 208 ALL-IDB1 and ALL-IDB2 images, while The ALL dataset has 3256 images. Next, we use the HSV model to transform ALL images. In addition, we modified the HSV model by pre-processing the saturation channel for better results. Then, the pre-processed images were segmented based on a fixed threshold. After that, various metrics are utilized to measure the output of the proposed method. Finally, the proposed methodology is compared to currently used benchmarks. The proposed method outperforms previous approaches regarding accuracy, specificity, sensitivity, and time. In addition, results show that the proposed technique improves performance measures significantly.

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Section: Related Workmentioning

confidence: 99%

Acute lymphoblastic leukemia image segmentation based on modified HSV model

Najjar

Khudhair

et al. 2023

J. Phys.: Conf. Ser.

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“…Because they rely on constant values to assign DNA base pairs, most existing approaches cannot account for variations in the structure of the DNA sequence. Since different mappings can produce different structural features, it was decided that the choice subject-specific in terms of numerical mapping [31][32][33][34][35].…”

Section: Symboli -To-numberi Mapping Using Dna Sequencei Analysisimentioning

confidence: 99%

A new approach for DNA sequence analysis using multiwavelet transform (MWT)

Sakran

Hadi

Al-Jawher³

2023

J. Phys.: Conf. Ser.

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Finding the nucleotide sequence within a DNA (deoxyribonucleic acid) molecule is the process of DNA sequencing. The DNA of every organism is made up of a specific pattern of nucleotides. Scientists can compare the DNA of different organisms by sequence to understand how organisms are connected. Three different forms of DNA sequencing - fragment analysis, Next Generation Sequencing (NGS), and Sanger sequencing - enable many new applications that increase our knowledge of genomes. It significantly impacts how well we understand how the genome works. Finding the hidden structural information of DNA is an important task. This paper introduces Multi-Wavelet Transformation (MWT) for analysis of the sequence of the DNA symbols. The symbolic DNA sequence has four indicator sequences. The MWT assigned symbols to numbers based on DNA structure. It can change each channel’s weighting to optimize energy distribution over MWT output. Analysis of synthetic and actual DNA sequences allowed the researchers to evaluate how well the proposed MWT works. The results show that the MWT has a higher energy dispersion than the regular WT and the bionic wavelet transform (BWT). Future DNA sequence analyses should be able to discover hidden structural features using this MWT approach.

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“…The result of comparisons of the proposed encryption system with several existing classical methods of showed that the proposed algorithm has smaller correlation coefficients compared with them. Ref [24] 0.00014 -0.00368 -0.02298 Ref [25] 0.0016 -0.0088 -0.0254…”

Section: B3 = 𝑟𝑜𝑢𝑛𝑑[255 * B2 − Min 𝑚𝑎𝑥 − 𝑚𝑖𝑛 ]mentioning

confidence: 99%

A Robust Image Encryption Scheme Based on Block Compressive Sensing and Wavelet Transform

Abed,

Mahmoud Al-Jawher

2023

Int J Innov Comp

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In this paper, a modified robust image encryption scheme is developed by combining block compressive sensing (BCS) and Wavelet Transform. It was achieved with a balanced performance of security, compression, robustness and running efficiency. First, the plain image is divided equally and sparsely represented in discrete wavelet transform (DWT) domain, and the coefficient vectors are confused using the coefficient random permutation strategy and encrypted into a secret image by compressive sensing. In pursuit of superior security, the hyper-chaotic Lorenz system is utilized to generate the updated secret code streams for encryption and embedding with assistance from the counter mode. This scheme is suitable for processing the medium and large images in parallel. Additionally, it exhibits superior robustness and efficiency compared with existing related schemes. Simulation results and comprehensive performance analyses are presented to demonstrate the effectiveness, secrecy and robustness of the proposed scheme. The compressive encryption model using BCS with Walsh transform as sensing matrix and WAM chaos system, the scrambling technique and diffusion succeeded in enhancement of secure performance.

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Pulse laser ablated growth of Au-Ag nanocolloids: Basic insight on physiochemical attributes

Cited by 10 publications

References 18 publications

Acute lymphoblastic leukemia image segmentation based on modified HSV model

Acute lymphoblastic leukemia image segmentation based on modified HSV model

A new approach for DNA sequence analysis using multiwavelet transform (MWT)

A Robust Image Encryption Scheme Based on Block Compressive Sensing and Wavelet Transform

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