Search Results - "Rahman, Md. Mosfikur"

Impactful e-learning framework: A new hybrid form of education by Shetu, Syeda Farjana, Rahman, Md. Mosfikur, Ahmed, Akash, Mahin, Mahfuja Ferdousi, Akib, Md. Abtab Uddin, Saifuzzaman, Mohd

“…•We proposed an impactful e-learning model.•A cloud storage model was introduced to access the model.•The course enrolment model was also designed for this…”
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COVID-19 and Bangladesh: Situation report, comparative analysis, and case study by Saifuzzaman, Mohd, Rahman, Md. Mosfikur, Shetu, Syeda Farjana, Moon, Nazmun Nessa

“…•Comparative analysis has been done along with Italy and another top effected country worldwide.•Impact for lockdown and isolation is discussed in case…”
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Impact of COVID-19 on mental health: A quantitative analysis of anxiety and depression based on regular life and internet use by Rahman, Md. Mosfikur, Saifuzzaman, Mohd, Ahmed, Akash, Mahin, Mahfuja Ferdousi, Shetu, Syeda Farjana

“…•Psychological impacts in COVID – 19 based on survey and its impact.•Data analysis and data visualization algorithms have been applied on collected dataset to…”
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TraFoo: An Android Application for Food Delivery in Train by Rahman, Md. Mosfikur, Foysal, Musfiqur Rahman, Moon, Nazmun Nessa, Nur, Fernaz Narin

“…The popularity of food delivery increasing day by day. This work focuses on how to food delivery of the easiest way in the train journey. In the modern-day,…”
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Future City of Bangladesh: IoT Based Autonomous Smart Sewerage and Hazard Condition Sharing System by Rahman, Md. Mosfikur, Abul Kashem, Mohammad, Mohiuddin, Mohammad, Hossain, Mohammad Alam, Nessa Moon, Nazmun

“…With the influence of science, the way people addressed challenges in the past has now changed. It's easier to make "stuff" smart now-to-day with the…”
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Deep Learning Model for Detecting and Diagnosing Plant Disease by Moon, Nazmun Nessa, Sharmin, Ms. Shayla, Hossain, Refath Ara, Jahan, Israt, Nur, Fernaz Narin, Rahman, Md. Mosfikur

“…This work deals with some plant disease detection like Potato, Pepper, and Tomato, Rice, etc. based on CNN image processing Technology. An enormous improvement…”
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Expression of Concern for: Deep Learning Model for Detecting and Diagnosing Plant Disease by Moon, Nazmun Nessa, Sharmin, Ms. Shayla, Hossain, Refath Ara, Jahan, Israt, Nur, Fernaz Narin, Rahman, Md. Mosfikur

“…This work deals with some plant disease detection like Potato, Pepper, and Tomato, Rice, etc. based on CNN image processing Technology. An enormous improvement…”
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