Walid El-Shafai¹, Abeer D. Algarni^2,*, Ghada M. El Banby³, Fathi E. Abd El-Samie^1,2, Naglaa F. Soliman^2,4

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1561-1575, 2022, DOI:10.32604/iasc.2022.020386 - 09 October 2021

Abstract Automated diagnosis based on medical images is a very promising trend in modern healthcare services. For the task of automated diagnosis, there should be flexibility to deal with an enormous amount of data represented in the form of medical images. In addition, efficient algorithms that could be adapted according to the nature of images should be used. The importance of automated medical diagnosis has been maximized with the evolution of COVID-19 pandemic. COVID-19 first appeared in China, Wuhan, and then it has exploded in the whole world with a very bad impact on our daily… More >

Chun Xu^1,*, Linyue Zhang²

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1843-1855, 2022, DOI:10.32604/iasc.2022.020365 - 09 October 2021

Abstract Significant advances in new emerging technologies such as the 5th generation mobile networks (5G), Expand the reality (XR), and Artificial Intelligence (AI) enable extensive three-dimensional (3D) experience and interaction. The vivid 3D virtual dynamic displays and immersive experiences will become new normal in near future. The XR-based virtuality-reality co-existing classroom goes beyond the limitations of Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR). Such technology also enables integration of the digital and physical worlds and further creates a smart classroom featuring co-existed virtuality and reality. In this paper, we show an application of… More >

Osama S. Faragallah^1,*, Sultan S. Alshamrani¹, Heba M. El-Hoseny², Mohammed A. AlZain¹, Emad Sami Jaha³, Hala S. El-Sayed⁴

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1483-1497, 2022, DOI:10.32604/iasc.2022.020330 - 09 October 2021

Abstract Crowd monitoring analysis has become an important challenge in academic researches ranging from surveillance equipment to people behavior using different algorithms. The crowd counting schemes can be typically processed in two steps, the images ground truth density maps which are obtained from ground truth density map creation and the deep learning to estimate density map from density map estimation. The pandemic of COVID-19 has changed our world in few months and has put the normal human life to a halt due to its rapid spread and high danger. Therefore, several precautions are taken into account… More >

Emad Felemban¹, Faizan Ur Rehman^2,*, Akhlaq Ahmad², Muhamad Felemban³

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1361-1375, 2022, DOI:10.32604/iasc.2022.020235 - 09 October 2021

Abstract Managing events pose a unique challenge to the stakeholders and authorities to control the crowd in all three phases of the event (pre, during and post), ensuring crowd safety. One of the fundamental keys to provide crowd safety is to consider the mobility infrastructure hosting the crowd, i.e., routes, areas, entrances and exits. During Hajj, where millions of pilgrims worldwide fulfil the annual event’s rites, mina encampment incorporates pilgrims performing recurring stoning ritual conducted over multi-level Jamarat bridge. Pilgrims mobility through the available complex road network, to and back from the Jamarat bridge, forces upon More >

Mohammad Atrees^*, Ashraf Ahmad, Firas Alghanim

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1405-1422, 2022, DOI:10.32604/iasc.2022.020229 - 09 October 2021

Abstract A malicious URL is a link that is created to spread spams, phishing, malware, ransomware, spyware, etc. A user may download malware that can adversely affect the computer by clicking on an infected URL, or might be convinced to provide confidential information to a fraudulent website causing serious losses. These threats must be identified and handled in a decent time and in an effective way. Detection is traditionally done through the blacklist usage method, which relies on keyword matching with previously known malicious domain names stored in a repository. This method is fast and easy… More >

Mohammed A. AlZain^1,*, Jehad F. Al-Amri¹, Ahmed I. Sallam², Emad Sami Jaha³, Sultan S. Alshamrani¹, Hala S. El-Sayed⁴, Osama S. Faragallah¹

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1627-1640, 2022, DOI:10.32604/iasc.2022.020137 - 09 October 2021

Abstract Many health networks became increasingly interactive in implementing a consulting approach to telemedicine before the COVID-19 pandemic. To mitigate patient trafficking and reduce the virus exposure in health centers, several GPs, physicians and people in the video were consulted during the pandemic at the start. Video and smartphone consultations will allow well-insulated and high-risk medical practitioners to maintain their patient care security. Video appointments include diabetes, obesity, hypertension, stroke, mental health, chemotherapy and chronic pain. Many urgent diseases, including an emergency triage for the eye, may also be used for online consultations and triages. The… More >

Ali Murtaza¹, Muhammad Usman Qadir¹, Muhammad Awais Khan¹, Izhar ul Haq^1,*, Kamran Shah¹, Nizar Akhtar²

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1887-1899, 2022, DOI:10.32604/iasc.2022.020006 - 09 October 2021

Abstract Transfemoral prostheses have evolved from mechanical devices to microprocessor-based, electronically controlled knee joints, allowing amputees to regain control of their limbs. For improved amputee experience at varying ambulation rates, these devices provide controlled damping throughout the swing and stance phases of the gait cycle. Commercially available microprocessor-based prosthetic knee (MPK) joints use linear controllers, heuristic-based methods, and finite state machine based algorithms to track the refence gait cycle. However, since the amputee experiences a variety of non-linearities during ambulation, such as uneven terrains, walking backwards and climbing stairs, therefore, traditional controllers produces error, abnormal movements,… More >

Naeem Ali¹, Taher M. Ghazal^2,3, Alia Ahmed¹, Sagheer Abbas⁴, M. A. Khan⁵, Haitham M. Alzoubi⁶, Umar Farooq⁷, Munir Ahmad⁴, Muhammad Adnan Khan^8,*

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1671-1687, 2022, DOI:10.32604/iasc.2022.019892 - 09 October 2021

Abstract Supply Chain Collaboration is the network of various entities that work cohesively to make up the entire process. The supply chain organizations’ success is dependent on integration, teamwork, and the communication of information. Every day, supply chain and business players work in a dynamic setting. They must balance competing goals such as process robustness, risk reduction, vulnerability reduction, real financial risks, and resilience against just-in-time and cost-efficiency. Decision-making based on shared information in Supply Chain Collaboration constitutes the recital and competitiveness of the collective process. Supply Chain Collaboration has prompted companies to implement the perfect… More >

Yanfen Guo^1,2, Zhe Cui¹, Xiaojie Li^2,*, Jing Peng^1,2, Jinrong Hu², Zhipeng Yang³, Tao Wu², Imran Mumtaz⁴

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1771-1782, 2022, DOI:10.32604/iasc.2022.019785 - 09 October 2021

Abstract Nasopharyngeal carcinoma (NPC) is one of the most common malignant tumors of the head and neck, and its incidence is the highest all around the world. Intensive radiotherapy using computer-aided diagnosis is the best technique for the treatment of NPC. The key step of radiotherapy is the delineation of the target areas and organs at risk, that is, tumor images segmentation. We proposed the segmentation method of NPC image based on multi-scale cascaded fully convolutional network. It used cascaded network and multi-scale feature for a coarse-to-fine segmentation to improve the segmentation effect. In coarse segmentation,… More >

Saima Akram^1,*, Allah Nawaz¹, Muhammad Bilal Riaz², Mariam Rehman³

Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1467-1482, 2022, DOI:10.32604/iasc.2022.019767 - 09 October 2021

Abstract In this article, the maximum possible numbers of periodic solutions for the quartic differential equation are calculated. In this regard, for the first time in the literature, we developed new formulae to determine the maximum number of periodic solutions greater than eight for the quartic equation. To obtain the maximum number of periodic solutions, we used a systematic procedure of bifurcation analysis. We used computer algebra Maple 18 to solve lengthy calculations that appeared in the formulae of focal values as integrations. The newly developed formulae were applied to a variety of polynomials with algebraic More >