Sukhman Singh - Academia.edu (original) (raw)
Uploads
Papers by Sukhman Singh
2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019
Stock market prediction is a major exertion in the field of finance and establishing businesses. ... more Stock market prediction is a major exertion in the field of finance and establishing businesses. Stock market is totally uncertain as the prices of stocks keep fluctuating on a daily basis because of numerous factors that influence it. One of the traditional ways of predicting stock prices was by using only historical data. But with time it was observed that other factors such as peoples' sentiments and other news events occurring in and around the country affect the stock market, for e.g. national elections, natural calamity etc. Investors in the stock market seek to maximize their profits for which they require tools to analyze the prices and trend of various stocks. Machine learning algorithms have been used to devise new techniques to build prediction models that can forecast the prices of stock and tell about the market trend with good accuracy. Many prediction models have been proposed to incorporate all the major factors affecting the price of stocks. This paper focuses on portraying distinct machine learning algorithms such as support vector machine, deep learning, random forest, boosted decision trees, ensemble methods and a few hybrid methods which have been used to build prediction model and predict the stock prices for different stock exchanges. This paper also covers the various challenges that are encountered while building prediction models.
International Journal of Molecular Sciences, 2021
There is no argument to the fact that insect herbivores cause significant losses to plant product... more There is no argument to the fact that insect herbivores cause significant losses to plant productivity in both natural and agricultural ecosystems. To counter this continuous onslaught, plants have evolved a suite of direct and indirect, constitutive and induced, chemical and physical defenses, and secondary metabolites are a key group that facilitates these defenses. Polyphenols—widely distributed in flowering plants—are the major group of such biologically active secondary metabolites. Recent advances in analytical chemistry and metabolomics have provided an opportunity to dig deep into extraction and quantification of plant-based natural products with insecticidal/insect deterrent activity, a potential sustainable pest management strategy. However, we currently lack an updated review of their multifunctional roles in insect-plant interactions, especially focusing on their insect deterrent or antifeedant properties. This review focuses on the role of polyphenols in plant-insect in...
2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019
Stock market prediction is a major exertion in the field of finance and establishing businesses. ... more Stock market prediction is a major exertion in the field of finance and establishing businesses. Stock market is totally uncertain as the prices of stocks keep fluctuating on a daily basis because of numerous factors that influence it. One of the traditional ways of predicting stock prices was by using only historical data. But with time it was observed that other factors such as peoples' sentiments and other news events occurring in and around the country affect the stock market, for e.g. national elections, natural calamity etc. Investors in the stock market seek to maximize their profits for which they require tools to analyze the prices and trend of various stocks. Machine learning algorithms have been used to devise new techniques to build prediction models that can forecast the prices of stock and tell about the market trend with good accuracy. Many prediction models have been proposed to incorporate all the major factors affecting the price of stocks. This paper focuses on portraying distinct machine learning algorithms such as support vector machine, deep learning, random forest, boosted decision trees, ensemble methods and a few hybrid methods which have been used to build prediction model and predict the stock prices for different stock exchanges. This paper also covers the various challenges that are encountered while building prediction models.
International Journal of Molecular Sciences, 2021
There is no argument to the fact that insect herbivores cause significant losses to plant product... more There is no argument to the fact that insect herbivores cause significant losses to plant productivity in both natural and agricultural ecosystems. To counter this continuous onslaught, plants have evolved a suite of direct and indirect, constitutive and induced, chemical and physical defenses, and secondary metabolites are a key group that facilitates these defenses. Polyphenols—widely distributed in flowering plants—are the major group of such biologically active secondary metabolites. Recent advances in analytical chemistry and metabolomics have provided an opportunity to dig deep into extraction and quantification of plant-based natural products with insecticidal/insect deterrent activity, a potential sustainable pest management strategy. However, we currently lack an updated review of their multifunctional roles in insect-plant interactions, especially focusing on their insect deterrent or antifeedant properties. This review focuses on the role of polyphenols in plant-insect in...