Muhammad Farman^1,2,4, Ali Akgül^3,9,*, Mir Sajjad Hashemi⁵, Liliana Guran^6,7, Amelia Bucur^8,*

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1385-1403, 2024, DOI:10.32604/cmes.2023.028803 - 17 November 2023

Abstract New fractional operators, the COVID-19 model has been studied in this paper. By using different numerical techniques and the time fractional parameters, the mechanical characteristics of the fractional order model are identified. The uniqueness and existence have been established. The model’s Ulam-Hyers stability analysis has been found. In order to justify the theoretical results, numerical simulations are carried out for the presented method in the range of fractional order to show the implications of fractional and fractal orders. We applied very effective numerical techniques to obtain the solutions of the model and simulations. Also, we… More >

Mohammed S. Alsaqer¹, Majid H. Alsulami^2,*, Rami N. Alkhawaji³, Abdulellah A. Alaboudi²

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3943-3968, 2023, DOI:10.32604/cmc.2023.042379 - 26 December 2023

Abstract Blockchain technology has revolutionized conventional trade. The success of blockchain can be attributed to its distributed ledger characteristic, which secures every record inside the ledger using cryptography rules, making it more reliable, secure, and tamper-proof. This is evident by the significant impact that the use of this technology has had on people connected to digital spaces in the present-day context. Furthermore, it has been proven that blockchain technology is evolving from new perspectives and that it provides an effective mechanism for the intelligent transportation system infrastructure. To realize the full potential of the accurate and… More >

Nesreen Althobaiti¹, Ali Raza^2,*, Arooj Nasir^3,4, Jan Awrejcewicz⁵, Muhammad Rafiq⁶, Nauman Ahmed⁷, Witold Pawłowski⁸, Muhammad Jawaz⁷, Emad E. Mahmoud¹

Computer Systems Science and Engineering, Vol.45, No.3, pp. 2935-2951, 2023, DOI:10.32604/csse.2023.033935 - 21 December 2022

Abstract The computational techniques are a set of novel problem-solving methodologies that have attracted wider attention for their excellent performance. The handling strategies of real-world problems are artificial neural networks (ANN), evolutionary computing (EC), and many more. An estimated fifty thousand to ninety thousand new leishmaniasis cases occur annually, with only 25% to 45% reported to the World Health Organization (WHO). It remains one of the top parasitic diseases with outbreak and mortality potential. In 2020, more than ninety percent of new cases reported to World Health Organization (WHO) occurred in ten countries: Brazil, China, Ethiopia,… More >

Sakda Noinang¹, Zulqurnain Sabir², Gilder Cieza Altamirano³, Muhammad Asif Zahoor Raja⁴, Manuel Jesús Sànchez-Chero⁵, María-Verónica Seminario-Morales⁵, Wajaree Weera^6,*, Thongchai Botmart⁶

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4851-4868, 2022, DOI:10.32604/cmc.2022.029437 - 28 July 2022

Abstract The current study relates to designing a swarming computational paradigm to solve the influenza disease system (IDS). The nonlinear system’s mathematical form depends upon four classes: susceptible individuals, infected people, recovered individuals and cross-immune people. The solutions of the IDS are provided by using the artificial neural networks (ANNs) together with the swarming computational paradigm-based particle swarm optimization (PSO) and interior-point scheme (IPA) that are the global and local search approaches. The ANNs-PSO-IPA has never been applied to solve the IDS. Instead a merit function in the sense of mean square error is constructed using More >

Nguyen Thanh Hoan¹, Nguyen Van Dung¹, Ho Le Thu¹, Hoa Thuy Quynh¹, Nadhir Al-Ansari^2,*, Tran Van Phong³, Phan Trong Trinh³, Dam Duc Nguyen⁴, Hiep Van Le⁴, Hanh Bich Thi Nguyen⁴, Mahdis Amiri⁵, Indra Prakash⁶, Binh Thai Pham^4,*

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.3, pp. 1431-1449, 2022, DOI:10.32604/cmes.2022.018699 - 19 April 2022

Abstract Water level predictions in the river, lake and delta play an important role in flood management. Every year Mekong River delta of Vietnam is experiencing flood due to heavy monsoon rains and high tides. Land subsidence may also aggravate flooding problems in this area. Therefore, accurate predictions of water levels in this region are very important to forewarn the people and authorities for taking timely adequate remedial measures to prevent losses of life and property. There are so many methods available to predict the water levels based on historical data but nowadays Machine Learning (ML)… More >

Rohit Raja¹, Chetan Swarup², Abhishek Kumar^3,*, Kamred Udham Singh⁴, Teekam Singh⁵, Dinesh Gupta⁶, Neeraj Varshney⁷, Swati Jain⁸

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 2015-2031, 2022, DOI:10.32604/cmc.2022.022904 - 24 February 2022

Abstract As far as the present state is concerned in detecting the behavioral pattern of humans (subject) using morphological image processing, a considerable portion of the study has been conducted utilizing frontal vision data of human faces. The present research work had used a side vision of human-face data to develop a theoretical framework via a hybrid analytical model approach. In this example, hybridization includes an artificial neural network (ANN) with a genetic algorithm (GA). We researched the geometrical properties extracted from side-vision human-face data. An additional study was conducted to determine the ideal number of… More >

Revathi Jothiramalingam¹, Anitha Jude², Duraisamy Jude Hemanth^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 875-906, 2021, DOI:10.32604/cmes.2021.016485 - 11 August 2021

Abstract The 12-lead ECG aids in the diagnosis of myocardial infarction and is helpful in the prediction of cardiovascular disease complications. It does, though, have certain drawbacks. For other electrocardiographic anomalies such as Left Bundle Branch Block and Left Ventricular Hypertrophy syndrome, the ECG signal with Myocardial Infarction is difficult to interpret. These diseases cause variations in the ST portion of the ECG signal. It reduces the clarity of ECG signals, making it more difficult to diagnose these diseases. As a result, the specialist is misled into making an erroneous diagnosis by using the incorrect therapeutic More >

Seth Aishwarya¹, Vaishnav Abeer^1,*, Babu B. Sathish¹, K. N. Subramanya²

Journal of Quantum Computing, Vol.2, No.4, pp. 157-170, 2020, DOI:10.32604/jqc.2020.015018 - 07 January 2021

Abstract The utilization of quantum states for the representation of information and the advances in machine learning is considered as an efficient way of modeling the working of complex systems. The states of mind or judgment outcomes are highly complex phenomena that happen inside the human body. Decoding these states is significant for improving the quality of technology and providing an impetus to scientific research aimed at understanding the functioning of the human mind. One of the key advantages of quantum wave-functions over conventional classical models is the existence of configurable hidden variables, which provide… More >

Essam E Khalil¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.15, No.2, pp. 47-56, 2010, DOI:10.3970/icces.2010.015.047

Abstract The cultural heritage left by the Egyptian Pharaohs in the tombs of the Valley of the Kings represents some of the key elements of the Egyptian cultural and tourism wealth and standing monuments demonstrating the wealth and technology of the pharaohs. These tombs were prepared to bury the Kings' mummies and artifacts for eternal life. Many of the wall paintings identifying the various ancient rituals and life style are in good conditions as the tombs were only recently opened to the public and resulted, in many instances, to dramatic deterioration of the wall paintings due More >