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Results for “"Amit Kumar Das"”

16+ results

Arsenic contamination in groundwater: a global perspective with emphasis on the Asian scenario.

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Amitava Mukherjee, Mrinal Kumar Sengupta, Mohammed Hossain, Sad Ahamed et al.

Journal: PubMedYear: 2006Citations: 508

The incidence of high concentrations of arsenic in drinking-water has emerged as a major public-health problem. With newer-affected sites discovered during the last decade, a significant change has been observed in the global scenario of arsenic contamination, especially in Asian countries. This com...

Physical SciencesEnvironmental ScienceEnvironmental ChemistryOpen Access
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Changes in soil biology under conservation agriculture based sustainable intensification of cereal systems in Indo-Gangetic Plains

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Madhu Choudhary, Ashim Datta, H.S. Jat, Arvind K. Yadav et al.

Journal: GeodermaYear: 2017Citations: 189
Life SciencesAgricultural and Biological SciencesSoil ScienceOpen Access
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Bangla hate speech detection on social media using attention-based recurrent neural network

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Amit Kumar Das, Abdullah Al Asif, Anik Paul, Md. Nur Hossain

Journal: Journal of Intelligent SystemsYear: 2021Citations: 123

Abstract Hate speech has spread more rapidly through the daily use of technology and, most notably, by sharing your opinions or feelings on social media in a negative aspect. Although numerous works have been carried out in detecting hate speeches in English, German, and other languages, very few wo...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Ineffectiveness and Poor Reliability of Arsenic Removal Plants in West Bengal, India

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Md. Amir Hossain, Mrinal Kumar Sengupta, Sad Ahamed, Mohammad Mahmudur Rahman‬ et al.

Journal: Environmental Science & TechnologyYear: 2005Citations: 114

In the recent past, arsenic contamination in groundwater has emerged as an epidemic in different Asian countries, such as Bangladesh, India, and China. Arsenic removal plants (ARP) are one possible option to provide arsenic-safe drinking water. This paper evaluates the efficiency of ARP projects in ...

Physical SciencesEnvironmental ScienceEnvironmental Chemistry
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A Deep Learning Approach to Detect Abusive Bengali Text

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Estiak Ahmed Emon, Shihab Rahman, Joti Banarjee, Amit Kumar Das et al.

Year: 2019Citations: 110

Day by day, Social media sites, online news portals and blogs commenting sections are getting saturated with abusive contents in Bangladesh. Detecting different types of abusive contents in online will not only improve these websites discussion sections but will also ensure user's safety. In this pa...

Physical SciencesComputer ScienceArtificial Intelligence
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Road Accident Analysis and Prediction of Accident Severity by Using Machine Learning in Bangladesh

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Md. Farhan Labib, Ahmed Sady Rifat, Md. Mosabbir Hossain, Amit Kumar Das et al.

Year: 2019Citations: 109

In recent years, the road accident has become a global problem and marked as the ninth prominent cause of death in the world. Due to the enormous number of road accidents every year, it has become a major problem in Bangladesh. It is entirely inadmissible and saddening to allow its citizen to kill b...

Physical SciencesEngineeringBuilding and Construction
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Murshidabad—One of the Nine Groundwater Arsenic-Affected Districts of West Bengal, India. Part II: Dermatological, Neurological, and Obstetric Findings

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Subhash Chandra Mukherjee, Kshitish Chandra Saha, Shymapada Pati, Rathindra Nath Dutta et al.

Journal: Clinical ToxicologyYear: 2005Citations: 106

INTRODUCTION: To understand the severity of related health effects of chronic arsenic exposure in West Bengal, a detailed 3-year study was carried out in Murshidabad, one of the nine arsenic-affected districts in West Bengal. METHODS: We screened 25,274 people from 139 arsenic-affected villages in M...

Physical SciencesEnvironmental ScienceEnvironmental Chemistry
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An Automated System of Sentiment Analysis from Bangla Text using Supervised Learning Techniques

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Rashedul Amin Tuhin, Bechitra Kumar Paul, Faria Nawrine, Mahbuba Akter et al.

Journal: 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS)Year: 2019Citations: 82

Sentiment analysis has become a leading context for scientific and commercial market research in the field of machine learning. Currently, it's a more prominent research field of Bangla language processing system as there are few research works regarding sentiment analysis for this language. In esse...

Physical SciencesComputer ScienceArtificial Intelligence
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Fake News Detection in Social Media using Blockchain

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Shovon Paul, Jubair Islam Joy, Shaila Sarker, Ahmad Javid Shakib et al.

Year: 2019Citations: 82

Blockchain technology has opened the gate of creating decentralized applications, where security is a big concern. Here, any transaction ever held is recorded permanently. Over the years, some non-reputable sources have been publishing fake and attractive news stories. Due to the lack of any regulat...

Physical SciencesComputer ScienceInformation Systems
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Bird Species Classification from an Image Using VGG-16 Network

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Shazzadul Islam, Sabit Ibn Ali Khan, Md. Min-ha-zul Abedin, Khan Mohammad Habibullah et al.

Year: 2019Citations: 77

Birds are an integral part of any environment and they are of the utmost importance to nature. Considering this, it is clear how necessary it is to be able to identify birds in the wilderness. This paper proposes a Machine Learning approach to identify Bangladeshi birds according to their species. W...

Life SciencesBiochemistry, Genetics and Molecular BiologyDevelopmental Biology
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Combination of QSAR, molecular docking, molecular dynamic simulation and MM-PBSA: analogues of lopinavir and favipiravir as potential drug candidates against COVID-19

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Md. Oliullah Rafi, Gourab Bhattacharje, Khattab Al-Khafaji, Tuğba Taşkın‐Tok et al.

Journal: Journal of Biomolecular Structure and DynamicsYear: 2020Citations: 64

. In summary, this study demonstrates a new way to identify leads for novel anti-viral drugs against COVID-19. Communicated by Ramaswamy H. Sarma.

Health SciencesMedicineInfectious DiseasesOpen Access
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An eight-year study report on arsenic contamination in groundwater and health effects in Eruani village, Bangladesh and an approach for its mitigation.

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Sad Ahamed, Mrinal Kumar Sengupta, Subhas Chandra Mukherjee, Shyamapada Pati et al.

Journal: PubMedYear: 2006Citations: 63

Based on several surveys during 1997-2005 and visits of a medical team to Eruani village, Laksham upazila, Comilla district, Bangladesh, the arsenic contamination situation and consequent clinical manifestations of arsenicosis among the villagers, including dermatology, neuropathy, and obstetric out...

Physical SciencesEnvironmental ScienceWater Science and TechnologyOpen Access
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Urban Sound Classification Using Convolutional Neural Network and Long Short Term Memory Based on Multiple Features

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Joy Krishan Das, Arka Ghosh, Abhijit Kumar Pal, Sumit Dutta et al.

Year: 2020Citations: 58

There are many sounds all around us and our brain can easily and clearly identify them. Furthermore, our brain processes the received sound signals continuously and provides us with relevant environmental knowledge. Although not up to the level of accuracy of the brain, there are some smart devices ...

Physical SciencesComputer ScienceSignal Processing
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Distribution of Serotypes, Vaccine Coverage, and Antimicrobial Susceptibility Pattern of Streptococcus Pneumoniae in Children Living in SAARC Countries: A Systematic Review

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Nishant Jaiswal, Meenu Singh, Rashmi Ranjan Das, Ishita Jindal et al.

Journal: PLoS ONEYear: 2014Citations: 57

INTRODUCTION: Each SAARC nation falls in the zone of high incidence of pneumococcal disease but there is a paucity of literature estimating the burden of pneumococcal disease in this region. OBJECTIVE: To identify the prevalent serotypes causing invasive pneumococcal disease in children of SAARC cou...

Health SciencesMedicineEpidemiologyOpen Access
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Murshidabad—One of the Nine Groundwater Arsenic-Affected Districts of West Bengal, India. Part I: Magnitude of Contamination and Population at Risk

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Mohammad Mahmudur Rahman‬, Mrinal Kumar Sengupta, Sad Ahamed, Dilip Lodh et al.

Journal: Clinical ToxicologyYear: 2005Citations: 57

INTRODUCTION: To understand the severity of the arsenic crisis in West Bengal, India, a detailed, 3-year study was undertaken in Murshidabad, one of the nine arsenic-affected districts in West Bengal. The district covers an area of 5324 km2 with a population of 5.3 million. METHODS: Hand tubewell wa...

Physical SciencesEnvironmental ScienceEnvironmental Chemistry
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