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1. New Inequalities of Simpson’s type for differentiable functions via generalized convex function

Author

Farooq, Shan E., Shabir, Khurram, Qaisar, Shahid, Ahmad, Farooq, and Almatroud, O. A.

Subjects
Mathematics, QA1-939
Abstract

This article presents some new inequalities of Simpson’s type for differentiable functions by using $(\alpha ,m) $-convexity. Some results for concavity are also obtained. These new estimates improve on the previously known ones. Some applications for special means of real numbers are also provided.

Published
2021
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41. District Wise Price Forecasting of Wheat in Pakistan using Deep Learning

Author

Rasheed, Ahmed, Younis, Muhammad Shahzad, Ahmad, Farooq, Qadir, Junaid, and Kashif, Muhammad

Subjects
Computer Science - Machine Learning, Computer Science - Artificial Intelligence
Abstract

Wheat is the main agricultural crop of Pakistan and is a staple food requirement of almost every Pakistani household making it the main strategic commodity of the country whose availability and affordability is the government's main priority. Wheat food availability can be vastly affected by multiple factors included but not limited to the production, consumption, financial crisis, inflation, or volatile market. The government ensures food security by particular policy and monitory arrangements, which keeps up purchase parity for the poor. Such arrangements can be made more effective if a dynamic analysis is carried out to estimate the future yield based on certain current factors. Future planning of commodity pricing is achievable by forecasting their future price anticipated by the current circumstances. This paper presents a wheat price forecasting methodology, which uses the price, weather, production, and consumption trends for wheat prices taken over the past few years and analyzes them with the help of advance neural networks architecture Long Short Term Memory (LSTM) networks. The proposed methodology presented significantly improved results versus other conventional machine learning and statistical time series analysis methods., Comment: 9 pages, submitted to IEEE Access

Published
2021

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