Assessing and predicting operation variables for doctors employing industry 4.0 in health care industry using an adaptive neuro-fuzzy inference system (ANFIS) approach

Fatima, Maryam; Sherwani, N.U.K.; Khan, Sameen; Khan, Mohd Zaheen

doi:10.1016/j.susoc.2022.05.005

Cited by 20 publications

(5 citation statements)

References 20 publications

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“…In order to calculate the outputs and decide which equation best matches them, a specialised CCRD design was used, and sixty test runs were performed. In addition to this, the built architecture provides newly calculated extreme values (both low and high) for each variable 26 – 28 . Data gathered from previous research is used to create the input variables, and the outcomes of experiments are used to validate whether or not such variables are feasible.…”

Section: Methodsmentioning

confidence: 99%

Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives

Khan,

Parvez,

Kumari

et al. 2023

Sci Rep

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Integrating nanoparticles in waste oil-derived biodiesel can revolutionize its performance in internal combustion engines, making it a promising fuel for the future. Nanoparticles act as combustion catalysts, enhancing combustion efficiency, reducing emissions, and improving fuel economy. This study employed a comprehensive approach, incorporating both quantitative and qualitative analyses, to investigate the influence of selected input parameters on the performance and exhaust characteristics of biodiesel engines. The focus of this study is on the potential of using oils extracted from food waste that ended up in landfills. The study's results are analysed and compared with models created using intelligent hybrid prediction approaches including adaptive neuro-fuzzy inference system, Response surface methodology-Genetic algorithm, and Non sorting genetic algorithm. The analysis takes into account engine load, blend percentage, nano-additive concentration, and injection pressure, and the desired responses are the thermal efficiency and specific energy consumption of the brakes, as well as the concentrations of carbon monoxide, unburned hydrocarbon, and oxides of nitrogen. Root-mean-square error and the coefficient of determination were used to assess the predictive power of the model. Comparatively to Artificial Intelligence and the Response Surface Methodology-Genetic Algorithm model, the results provided by NSGA-II are superior. This is because it achieved a pareto optimum front of 24.45 kW, 2.76, 159.54 ppm, 4.68 ppm, and 0.020243% for Brake Thermal Efficiency, Brake Specific Energy Consumption, Oxides of nitrogen, Unburnt Hydro Carbon, and Carbon monoxide. Combining the precision of ANFIS's prediction with the efficiency of NSGA-optimization II's gives a reliable and thorough evaluation of the engine's settings. The qualitative assessment considered practical aspects and engineering constraints, ensuring the feasibility of applying the parameters in real-world engine applications.

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Section: Methodsmentioning

confidence: 99%

Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives

Khan,

Parvez,

Kumari

et al. 2023

Sci Rep

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show abstract

“…Emotional stress is another essential category of stress which needs to be contemplated since such types are considered to be quite regular reaction to daily life pressures. 35 Fear, anxiety, irritation, grief and other emotions are also all regular emotive outcomes. All of these are considered a major part of lifecycle.…”

Section: Methods and Data Collectionmentioning

confidence: 99%

Comparative analysis among doctors working in private and government hospitals in identifying and prioritizing essential stress factors during COVID-19- an AHP-TOPSIS approach

Fatima

Sherwani

Singh

2023

Intelligent Pharmacy

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“…During the Influenza outbreak, which led in 250,000 to 500,000 fatalities yearly, SC cited operational issues such as "absence of economic cooperation" and "cost-sharing agreements." [ 35 ]. It cited "trust difficulties amongst SC participants," "deficient veterinary set-up," "dearth of an effective data sharing structure," "lack of remuneration," as well as "unlawful activities" as barriers that led to the 2006 flu epidemic [ 36 ].…”

Section: Identification Of Problems Related To Supply Chainmentioning

confidence: 99%

Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique

Islam¹,

Khan

Ahmad³

et al. 2022

Internet of Things and Cyber-Physical Systems

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Assessing and predicting operation variables for doctors employing industry 4.0 in health care industry using an adaptive neuro-fuzzy inference system (ANFIS) approach

Cited by 20 publications

References 20 publications

Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives

Modelling of compression ignition engine by soft computing techniques (ANFIS-NSGA-II and RSM) to enhance the performance characteristics for leachate blends with nano-additives

Comparative analysis among doctors working in private and government hospitals in identifying and prioritizing essential stress factors during COVID-19- an AHP-TOPSIS approach

Assessment of challenges and problems in supply chain among retailers during COVID-19 epidemic through AHP-TOPSIS hybrid MCDM technique

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