Manjur Kolhar^*, Abdalla Alameen

Computer Systems Science and Engineering, Vol.36, No.1, pp. 101-116, 2021, DOI:10.32604/csse.2021.014915 - 23 December 2020

Abstract System supported smart parking can reduce traffic by making it stress free to locate empty parking spaces, hence lowering the risk of unfocussed driving. In this study, we propose a smart parking system using deep learning and an application-based approach. This system has two modules, one module detects and recognizes a license plate (LP), and the other selects a parking space; both modules use deep learning techniques. We used two modules that work independently to detect and recognize an LP by using an image of the vehicle. To detect parking space, only deep learning techniques… More >

Abdullah Baz^1,*, Hosam Alhakami²

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1155-1174, 2021, DOI:10.32604/cmc.2020.013215 - 26 November 2020

Abstract The World Health Organization declared COVID-19 a pandemic on March 11, 2020 stating that it is a worldwide danger and requires imminent preventive strategies to minimise the loss of lives. COVID-19 has now affected millions across 211 countries in the world and the numbers continue to rise. The information discharged by the WHO till June 15, 2020 reports 8,063,990 cases of COVID-19. As the world thinks about the lethal malady for which there is yet no immunization or a predefined course of drug, the nations are relentlessly working at the most ideal preventive systems to… More >

Changli Lu¹, Ming Zhao^1,2, Imran Khan³, Peerapong Uthansakul^4,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1511-1528, 2021, DOI:10.32604/cmc.2020.012556 - 26 November 2020

Abstract The environmental impact of maritime transport has now become a relevant issue in sustainable policy formulation and has attracted increasing interest from academia. For the sustainable development of maritime transport, International Maritime Organization stipulates that the sulfur content of ship emissions will reach 0.5 from 2020. With the approaching of the stipulated implementation date, shipowners need to adopt scientific methods to make decision on low sulfur fuel. In this study, we applied a prospect theory based hesitant fuzzy multi-criteria decision-making model to obtain the optimal decision of low Sulphur marine fuel. For this purpose, the… More >

Gregory P. Murphy¹, Kushan D. Radadia¹, Jonathan Weese¹, Cooper R. Benson², Niraj Badhiwala¹, Alethea Paradis¹, Joel Vetter¹, Steven B. Brandes²

Canadian Journal of Urology, Vol.27, No.3, pp. 10228-10232, 2020

Abstract Introduction: To evaluate flexible pediatric cystoscopy (FPC) as an adjunctive procedure to retrograde urethrography (RUG) and voiding cystourethrography (VCUG) in the preoperative setting for male urethral strictures. Since imaging interpretation of stricture length and caliber can be difficult at times, we sought to evaluate diagnostic utility of FPC to predict reconstructive surgery.
Materials and methods: Reconstructive urology databases at Washington University and Columbia University were queried from 2010-2017. A total of 185 anterior urethroplasty patients met inclusion criteria. All surgeries were performed by a single surgeon. There were 102 patients that underwent preoperative FPC (7.5 Fr in… More >

Hong Zhu^1,2,*

Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 741-748, 2020, DOI:10.32604/iasc.2020.010108

Abstract In this paper, a human resource allocation method based on the multi-objective hybrid genetic algorithm is proposed, which uses the multi-stage decision model to resolve the problem. A task decision is the result of an interaction under a set of conditions. There are some available decisions in each stage, and it is easy to calculate their immediate effects. In order to give a set of optimal solutions with limited submissions, a multi-objective hybrid genetic algorithm is proposed to solve the combinatorial optimization problems, i.e. using the multiobjective hybrid genetic algorithm to find feasible solutions at… More >

Nazan Çakmak Polat, Gözde Yaylali, Bekir Tanay

Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 305-311, 2019, DOI:10.31209/2018.100000006

Abstract Soft set theory, which was defined by D. Molodtsov, has a rich potential for applications in several fields of life. One of the successful application of the soft set theory is to construct new methods for Decision Making problems. In this study, we are introducing a method using graph representation of soft set relations to solve Decision Making problems. We have successfully applied this method to various examples. More >

Weiwei Liu¹, Yang Tang², Fei Yang², Yi Dou³, Jin Wang^4,*

CMC-Computers, Materials & Continua, Vol.60, No.2, pp. 813-834, 2019, DOI:10.32604/cmc.2019.06754

Abstract Electric vehicles (EVs) are recognized as one of the most promising technologies worldwide to address the fossil fuel energy resource crisis and environmental pollution. As the initial work of EV charging station (EVCS) construction, site selection plays a vital role in its whole life cycle. In this paper, a multi-objective optimization model for the location layout of EVCSs is established when considering various factors such as user demand, investment cost, soil locations, the emergency charging mileage limit, the actual road condition and service network reliability. The model takes the minimum investment cost and the minimum… More >

Xinzhi Wang^a, Yi Liu^b, Hui Zhang^a, Qiuju Ma^a, Zhidong Cao^c

Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 89-96, 2018, DOI:10.1080/10798587.2016.1267246

Abstract Public health emergency is governed by the physical rules, which are related to the propagation of diseases in the physical space, and the social rules, which are related to government structures, social behaviors, and social media in cyber space. Effective preparedness and response of public health emergency is strongly related to interoperation, collaboration and cooperation among different levels of government agencies and among different regions, as well as information flow and data mining between agencies and general public. In this paper, we review the technologies using multi-source data for public health emergency in China. At More >

Tiejun Wang¹, Tao Wu^1,*, Amir Homayoon Ashrafzadeh², Jia He¹

CMC-Computers, Materials & Continua, Vol.57, No.1, pp. 81-96, 2018, DOI:10.32604/cmc.2018.03259

Abstract Crowdsourcing is widely used in various fields to collect goods and services from large participants. Evaluating teaching quality by collecting feedback from experts or students after class is not only delayed but also not accurate. In this paper, we present a crowdsourcing-based framework to evaluate teaching quality in the classroom using a weighted average operator to aggregate information from students’ questionnaires described by linguistic 2-tuple terms. Then we define crowd grade based on similarity degree to distinguish contribution from different students and minimize the abnormal students’ impact on the evaluation. The crowd grade would be… More >

Andrew W. Stamm¹, John S. Banerji¹, Erika M. Wolff¹, April Slee², Sydney Akapame², Kathryn Dahl¹, John D. Massman III¹, Michael C. Soung³, Kim R. Pittenger³, John M. Corman¹

Canadian Journal of Urology, Vol.24, No.4, pp. 8910-8917, 2017

Abstract Introduction: Shared decision making (SDM) is widely encouraged by both the American Urological Association and Choosing Wisely for prostate cancer screening. Implementation of SDM is challenging secondary to time constraints and competing patient priorities. One strategy to mitigate the difficulties in implementing SDM is to utilize a decision aid (DA). Here we evaluate whether a DA improves a patient's prostate cancer knowledge and affects prostate-specific antigen (PSA) screening rates.
Materials and methods: Patients were randomized to usual care (UC), DA, or DA + SDM. Perception of quality of care was measured using the Consumer Assessment of Healthcare… More >