Browsing by Author "Islam, Towfiqul"

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A study on the supply chain of pearl pure drinking water
(BRAC University, 10/10/2012) Islam, Towfiqul; Akhtar, Afsana
As a student of business administration analyzing today's business world is very crucial to observe in this complex situation. It is necessary to go through all fields of knowledge, both theoretical and practical. After passing four years BBA program, I was sent out to have practical knowledge in business life as a part of my academic program. An internship Program is organized to give me an opportunity for enhancing my capabilities. Aranee Food Product was established in 1995 as a food production company which later established itself as a water production company and introduced “Pearl Drinking Water”. Although Pearl Drinking water is pretty new in the market, they are growing fast and they have plenty of opportunities to grow into something big. In my report I tried to give a short profile on Pearl Drinking Water and its supply chain Management. I also described their water purification process and their distribution process in details.
Application of Optimal Subset Regression and Stacking Hybrid Models To Estimate COVID-19 Cases in Dhaka, Bangladesh
(Springer, 2023-08-16) Md, Abu Reza; Islam, Towfiqul; Elbeltagi, Ahmed; Mallick, Javed; Fattah, Md. Abdul; Roy, Manos Chandro; Pal, Subodh Chandra; Shahjaman, Md.; Patwary, Masum A.
The COVID-19 outbreaks revealed a severe healthcare crisis with many loopholes in the global healthcare system. It is more crucial to quantify COVID-19 cases when COVID-19 occurs in humid to semi-humid climatic conditions. There are issues with a lack of meteorological and air pollution data and future information on COVID-19 mortality, as is the case in Bangladesh. To deal with this issue, the present research aims to apply four single artificial intelligence models, including additive regression (AR), M5P tree (M5P), random subspace (RSS), and support vector machine (SVM), and construct their stacking hybrid ensemble models for predicting COVID-19 mortality cases at five sites in greater Dhaka City, Bangladesh. The proposed methods were developed using a total of eight input datasets that included climatic factors such as relative humidity, temperature, precipitation, wind speed, and air pollutants including sulfur dioxide (SO2), ozone (O3), carbon monoxide (CO), and nitrate oxide (NO2). Various input data combinations are appraised according to predictive performance, utilizing statistical tests and graphical presentation. The datasets were categorized into two classes (68:32) for model generation (training data) and model validation (testing data) with a fivefold cross-validation technique. Results show that SVM is superior to other AR, M5P, and RSS models (R2 testing = 0.86–0.91, MAE = 1.33–2.02, RMSE = 3.12–3.85, RAE% = 19.68–29.86, and RRSE% = 40.58–41.01). The sensitivity analysis findings reveal a higher sensitivity for all input parameters selected except CO in the predictive results. Relative humidity, wind speed, and SO2 were the three input parameters that most influenced the results of subset regression and sensitivity analysis. The SVM is a promising method because it can predict COVID-19 mortality in greater Dhaka City with fewer input parameters. The suggested model developed in this research produced satisfactory outcomes in COVID-19 mortality prediction. It will be a new method for future COVID-19 prevention for policymakers and health experts. Serious social concern and robust public health measures may lessen the environmental impact of COVID-19 cases.
Oxygen Declination in the Coastal Ocean over the Twenty-first Century: Driving Forces, Trends, and Impacts
(Elsevier, 2024-01-09) Bhuiyan, Md Mesbah Uddin; Rahman, Mahfuzur; Naher, Samsun; Shahed, Zahid Hasan; Ali, Mir Mohammad; Md, Abu Reza; Islam, Towfiqul
Oxygen declination in coastal oceans has accelerated drastically in recent decades, both in terms of severity and spatial extent, and such disappearance of oxygen leads to dead zones where life can't survive. This phenomenon is mainly attributed to nutrient pollution and climate change due to intensified anthropogenic activities. The annual statistical oxygen mean concentrations showed the current deoxygenation trends based on (WOA_2001–2018) data comparison of 200 m below the surface water from the first two decades of the 21st century. A relatively similar significant oxygen loss of 0.5–3 ml/L was indicated in the first decade (2001–2009) over the water of continental shelves (200 m) in the tropical oceans and the areas of subtropical Pacific, Atlantic, and southern Indian oceans gradually started to fall from their moderate oxygen concentrations 4–5 ml/L between 2005 and 2009. Consequently, in the next decade (2013–2018), the negative oxygen trend persisted at a similar depth in the global oceans, and its expansion to more regions suggested that this trend of oxygen loss will continue in the future. This is a serious threat that has to be made more widely known since declines in oxygen levels in coastal oceans could have a wide range of negative impact on marine life, biogeochemical cycles, coastal habitats, economies that run on the sea, and ultimately humans. Therefore, it is crucial to investigate and put into practice management alternatives in order to lessen the effects of continuous deoxygenation on marine life and the supply of services by marine ecosystems.