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| 1 | A novel strategy for automatic test data generation using soft computing technique显示文摘 | Priyanka CHAWLA Inderveer CHANA Ajay RANA | 2015 | Frontiers of Computer Science2015，9，3： | 1 |
| 2 | Testing perspectives for cloud-based applications显示文摘 | Inderveer Chana Priyanka Chawla | 2013 | Software Engineering Frameworks for the Cloud Computing Paradigm Computer Communications and Networks2013，，： | 1 |
| 3 | Pediatric liver tumors – a pictorial review显示文摘 | Priyanka Jha Soni C. Chawla Sidhartha Tavri Chirag Patel Charles Gooding Heike Daldrup-Link | 2009 | European Radiology2009，，1： | 1 |
| 4 | Medical Internet of things using machine learning algorithms for lung cancer detection显示文摘This paper empirically evaluates the several machine learning algorithms adaptable for lung cancer detection linked with IoT devices.In this work,a review of nearly 65 papers for predicting different diseases,using machine learning algorithms,has been done.The analysis mainly focuses on various machine learning algorithms used for detecting several diseases in order to search for a gap toward the future improvement for detecting lung cancer in medical IoT.Each technique was analyzed on each step,and the overall drawbacks are pointed out.In addition,it also analyzes the type of data used for predicting the concerned disease,whether it is the benchmark or manually collected data.Finally,research directions have been identified and depicted based on the various existing methodologies.This will be helpful for the upcoming researchers to detect the cancerous patients accurately in early stages without any flaws. | Kanchan Pradhan Priyanka Chawla | 2020 | Journal of Management Analytics2020，7，4： | 1 |
| 5 | PVA Based Polymer Electrolyte with Layered Filler Graphite for Natural Dye Sensitized Solar Cell显示文摘Graphite nanopowder is synthesized by mechanical method using ball mill and used as filler in polymer electrolyte film based on Polyvinyl alcohol(PVA)for application in natural dye sensitized solar cell(DSSC).In the present work dye sensitized solar cell has been assembled using electrolyte system composed of PVA as host polymer,ethylene carbonate as plasticizer,LiI:I2 as redox couple and graphite as filler;TiO2 modified with Copper oxide(CuO)photoanode in order to provide inherent energy barrier and natural cocktail dye as sensitizer.The obtained solar cell conversion efficiency was about 3.2%with fill factor 52%using an irradiation of 100 mW/cm^(2) at 25℃C. | Kumari Pooja Priyanka Chawla Mridula Tripathi | 2021 | Non-Metallic Material Science2021，3，1： | 0 |
| 6 | An interactive web-based solar energy prediction system using machine learning techniques显示文摘Solar energy being one of the most inexpensive renewable energy sources,has shown to be a viable alternative to traditional fossil-fuel and wood-based electricity generation.For the purpose of creating a more trustworthy and successful energy planning strategy,accurate projections of sun irradiation,solar energy generation,and revenues are crucial.Hence,in this work we have proposed webbased optimal prediction system that estimates solar radiation based on location and meteorological data using Machine Learning techniques.Furthermore,an interactive dashboard solar digital map has been developed that enables real-time investigation of solar energy consumption,production,solar radiation,and investment potential for a specific county in California.The model’s performance has been measured using Root Mean Square Error(RMSE),Mean Square Error(MSE),Mean Average Error(MAE),and Mean Absolute Percentage Error(MAPE)scores.Experimental results demonstrate that stacking model outperformed all the models with the lowest RMSE,MSE,and MAE. | Priyanka Chawla Jerry Zeyu Gao Teng Gao Chengchen Luo Huimin Li Yiqin We | 2023 | Journal of Management Analytics2023，10，2： | 0 |
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