
Journal of Combinatorial Mathematics and Combinatorial Computing
ISSN: 0835-3026 (print) 2817-576X (online)
The Journal of Combinatorial Mathematics and Combinatorial Computing (JCMCC) embarked on its publishing journey in April 1987. From 2024 onward, it publishes four volumes per year in March, June, September and December. JCMCC has gained recognition and visibility in the academic community and is indexed in renowned databases such as MathSciNet, Zentralblatt, Engineering Village and Scopus. The scope of the journal includes; Combinatorial Mathematics, Combinatorial Computing, Artificial Intelligence and applications of Artificial Intelligence in various files.
- Research article
- https://doi.org/10.61091/jcmcc126-05
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 126
- Pages: 93-100
- Published Online: 12/05/2025
Given two graphs
- Research article
- https://doi.org/10.61091/jcmcc125-31
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 125
- Pages: 453-460
- Published Online: 12/05/2025
A subset
- Research article
- https://doi.org/10.61091/jcmcc125-30
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 125
- Pages: 445-452
- Published Online: 12/05/2025
Let
- Research article
- https://doi.org/10.61091/jcmcc125-29
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 125
- Pages: 431-444
- Published Online: 12/05/2025
The Mostar index
- Research article
- https://doi.org/10.61091/jcmcc126-04
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 126
- Pages: 73-91
- Published Online: 19/04/2025
Alzheimer’s disease (AD) is a progressive neurodegenerative condition that affects the elderly population. The early detection and diagnosis of AD is critical for achieving effective treatment, as it can greatly improve the patient experience. AD can be viewed through imaging techniques like MRI, PET, and SPECT, providing valuable information about structural and functional changes. These findings are important in understanding this area. However, each imaging modality offers a different perspective. This information can be better collected from several of the other modalities as well as from some others to improve accuracy and reliability in AD detection. By combining information from different imaging modalities, such as MRI, PET, DTI, and fMRI, automated multimodal medical image frameworks aim to create a fused representation that preserves the relevant features from each modality. Convolutional neural networks (CNNs) and generative adversarial networks (GANs), among other deep learning techniques, have been prevalent in these frameworks for learning discriminative and informative features from multi-modal data. In this paper, The Alzheimer’s Disease Neuroimaging Initiative (ADNI) is used for experimental analysis. The proposed work gives 98.94% of accuracy and 1.06% of error which is greater than the existing approaches.
- Research article
- https://doi.org/10.61091/jcmcc126-03
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 126
- Pages: 29-72
- Published Online: 19/04/2025
The power of the public key cryptosystem based on Paley graphs is due to several mathematical problems namely quadratic residuosity, local equivalence, and identification of the graphs induced by a sequence of local complementations of the Paley graphs. The classification in terms of degree of these induced graphs can be useful in the cryptanalysis part of the proposed public-key cryptosystem based on these algebraic graphs. This work aims to give the exact value of the minimum and maximum degree by local complementation, then the possible classifications in terms of degree to the graphs induced by a sequence of local complementations of Paley graphs of degree p less than or equal to 13 and some information about the equivalence problem.
- Research article
- https://doi.org/10.61091/jcmcc126-02
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 126
- Pages: 11-27
- Published Online: 19/04/2025
Given a graph
- Research article
- https://doi.org/10.61091/jcmcc126-01
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 126
- Pages: 3-9
- Published Online: 19/04/2025
Directed strongly regular graphs were introduced by Duval in 1998 as one of the possible generalization of classical strongly regular graphs to the directed case. Duval also provided several construction methods for directed strongly regular graphs. In this paper, an infinite family of directed strongly regular graphs is constructed, as generalized Cayley graphs.
- Research article
- https://www.doi.org/10.61091/jcmcc125-28
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 125
- Pages: 411-429
- Published Online: 30/03/2025
Green construction is becoming a mainstream model of the transformation and upgrading of the construction industry, which has the advantages of energy saving, environmental protection and ecology, which can effectively reduce energy deficiency and improve environmental quality, which is the need for high quality sustainable development. This study is based on BIM software and the intelligent construction technology to propose the green architectural design party case. Building energy-saving efficiency evaluation system, using fuzzy Borda method and the CRITIC method of evaluation, the objective of the index, and the example of a community, the use of the object meta-effect model. The evaluation scores of the energy saving efficiency of the building of green energy saving and renovation are in the 90.11-99.28 points, and the high energy demand in the process of running the use of the building is excellent in the heating, refrigeration and other aspects of the building. This paper shows that the goal of the green transformation project is basic, which is effective and the efficiency of energy efficiency is generated. This study can provide guidance for the work of the green building energy saving and renovation work, and further promote the energy saving and transformation of China.
- Research article
- https://doi.org/10.61091/jcmcc125-27
- Full Text
- Journal of Combinatorial Mathematics and Combinatorial Computing
- Volume 125
- Pages: 393-409
- Published Online: 30/03/2025
The supply chain applies large number according to the technology, can reduce the cost of each link, optimize the resource allocation, increase the enterprise benefit. In this paper, the supply chain cost control program based on large number according to the previous forecast, the control of the event and the analysis of the three levels of the analysis of the supply chain. The combination time series model and the multivariate regression model, the joint CPFR concept, the establishment of the CPFR sales combination demand prediction model, the design form according to the sales prediction system, the resource optimization plan of the supply chain inventory in real time. Analyze the prediction effect of the combination prediction model, predict the product sales in the week, calculate the product safety inventory and the remaining inventory. The analysis is based on the cost control effect of the enterprise supply chain according to the sales forecast. The cost of purchasing the supply chain costs less than the operating income, which fell to 0.5107in 2023. The gross margin of gross profit was 0.53666 in 2023, which was controlled by the gross margin, and the gross profit was improved. It is said that the enterprise is using large number according to the technology to the supply chain resource optimization in the supply chain cost control, the cost control effect is better.