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Results for “"Sabbir Ahmed"”

16+ results

Diarrhea in young children from low-income countries leads to large-scale alterations in intestinal microbiota composition

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Mihai Pop, Alan W. Walker, Joseph N. Paulson, Brianna Lindsay et al.

Journal: Genome biologyYear: 2014Citations: 397

BACKGROUND: Diarrheal diseases continue to contribute significantly to morbidity and mortality in infants and young children in developing countries. There is an urgent need to better understand the contributions of novel, potentially uncultured, diarrheal pathogens to severe diarrheal disease, as w...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor

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Mst. Alema Khatun, Mohammad Abu Yousuf, Sabbir Ahmed, Md. Zia Uddin et al.

Journal: IEEE Journal of Translational Engineering in Health and MedicineYear: 2022Citations: 249

Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in intelligent home settings. Inertial sensors, e.g., acc...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Robust clinical applicable CNN and U-Net based algorithm for MRI classification and segmentation for brain tumor

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Atika Akter, Nazeela Nosheen, Sabbir Ahmed, Mariom Hossain et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 242

Early diagnosis of brain tumors is critical for enhancing patient prognosis and treatment options, while accurate classification and segmentation of brain tumors are vital for developing personalized treatment strategies. Despite the widespread use of Magnetic Resonance Imaging (MRI) for brain exami...

Life SciencesNeuroscienceNeurologyOpen Access
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Less is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification

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Sabbir Ahmed, Md. Bakhtiar Hasan, Tasnim Ahmed, Md. Redwan Karim Sony et al.

Journal: IEEE AccessYear: 2022Citations: 179

To ensure global food security and the overall profit of stakeholders, the importance of correctly detecting and classifying plant diseases is paramount. In this connection, the emergence of deep learning-based image classification has introduced a substantial number of solutions. However, the appli...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Cellular Automata approach in dynamic modelling of land cover changes using RapidEye images in Dhaka, Bangladesh

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Abdulla ‐ Al Kafy, Md. Nazmul Huda Naim, G. Subramanyam, Abdullah-Al- Faisal et al.

Journal: Environmental ChallengesYear: 2021Citations: 159

Satellite images have been used extensively to identify the land use/land cover (LULC) changes in Bangladesh. However, no study has been conducted to classify LULC changes in the Dhaka Metropolitan Development Plan (DMDP) area using high-resolution commercial satellite images. The study aimed to sim...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
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<i>Protibadi</i>

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Syed Ishtiaque Ahmed, Steven J. Jackson, Nova Ahmed, Hasan Shahid Ferdous et al.

Year: 2014Citations: 151

Public sexual harassment has emerged as a large and growing concern in urban Bangladesh, with deep and damaging implications for gender security, justice, and rights of public participation. In this paper we describe an integrated program of ethnographic and design work meant to understand and addre...

Physical SciencesComputer ScienceInformation Systems
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Comparative genomics of two jute species and insight into fibre biogenesis

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Md. Shahidul Islam, Jennifer A. Saito, Emdadul Mannan Emdad, Borhan Ahmed et al.

Journal: Nature PlantsYear: 2017Citations: 145

Abstract Jute ( Corchorus sp.) is one of the most important sources of natural fibre, covering ∼80% of global bast fibre production 1 . Only Corchorus olitorius and Corchorus capsularis are commercially cultivated, though there are more than 100 Corchorus species 2 in the Malvaceae family. Here we d...

Life SciencesAgricultural and Biological SciencesFood ScienceOpen Access
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Livestock Management With Unmanned Aerial Vehicles: A Review

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Mohammed Ateeq Alanezi, Mohammad Shoaib Shahriar, Md. Bakhtiar Hasan, Sabbir Ahmed et al.

Journal: IEEE AccessYear: 2022Citations: 98

The ease of use and advancements in drone technology is resulting in the widespread application of Unmanned Aerial Vehicles (UAVs) to diverse fields, making it a booming technology. Among UAVs’ several applications, livestock agriculture is one of the most promising, where UAVs facilitate various op...

Physical SciencesEngineeringAerospace EngineeringOpen Access
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The proper application of logistic regression model in complex survey data: a systematic review

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Devjit Dey, Md. Enamul Haque, Md. Mojahedul Islam, Umme Iffat Aishi et al.

Journal: BMC Medical Research MethodologyYear: 2025Citations: 93

BACKGROUND: Logistic regression is a useful statistical technique commonly used in many fields like healthcare, marketing, or finance to generate insights from binary outcomes (e.g., sick vs. not sick). However, when applying logistic regression to complex survey data, which includes complex samplin...

Social SciencesSociology and Political ScienceSurvey Methodology and NonresponseOpen Access
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Artificial Intelligence and Machine Learning for Ensuring Security in Smart Cities

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Sabbir Ahmed, Md. Farhad Hossain, M. Shamim Kaiser, Manan Binth Taj Noor et al.

Journal: Advanced sciences and technologies for security applicationsYear: 2021Citations: 91
Physical SciencesComputer ScienceInformation Systems
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DFR-TSD: A Deep Learning Based Framework for Robust Traffic Sign Detection Under Challenging Weather Conditions

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Sabbir Ahmed, Uday Kamal, Md. Kamrul Hasan

Journal: IEEE Transactions on Intelligent Transportation SystemsYear: 2021Citations: 83

Robust traffic sign detection and recognition (TSDR) is of paramount importance for the successful realization of autonomous vehicle technology. The importance of this task has led to vast amount of research efforts and many promising methods have been proposed in the existing literature. However, m...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Molecular Docking and Dynamics Simulation of Natural Compounds from Betel Leaves (Piper betle L.) for Investigating the Potential Inhibition of Alpha-Amylase and Alpha-Glucosidase of Type 2 Diabetes

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Sabbir Ahmed, Md. Chayan Ali, Rumana Akter Ruma, Shafi Mahmud et al.

Journal: MoleculesYear: 2022Citations: 75

Piper betle L. is widely distributed and commonly used medicinally important herb. It can also be used as a medication for type 2 diabetes patients. In this study, compounds of P. betle were screened to investigate the inhibitory action of alpha-amylase and alpha-glucosidase against type 2 diabetes ...

Health SciencesMedicineEndocrinology, Diabetes and MetabolismOpen Access
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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application

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Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal et al.

Journal: Journal of Pathology InformaticsYear: 2024Citations: 73

Chronic kidney diseases (CKDs) are a significant public health issue with potential for severe complications such as hypertension, anemia, and renal failure. Timely diagnosis is crucial for effective management. Leveraging machine learning within healthcare offers promising advancements in predictiv...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
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Isolated Bangla handwritten character recognition with convolutional neural network

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Mujadded Al Rabbani Alif, Sabbir Ahmed, Muhammad Abul Hasan

Year: 2017Citations: 70

The handwritten character recognition (HCR) problem has been studied extensively during the last few decades with varying level of success. Although one of the earliest optical character recognition work was done using an artificial neural network, due to low computational speed and other computatio...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Impact of weather on COVID-19 transmission in south Asian countries: An application of the ARIMAX model

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Md. Sabbir Hossain, Sulaiman Ahmed, Md. Jamal Uddin

Journal: The Science of The Total EnvironmentYear: 2020Citations: 69

We aimed to examine the impact of weather on COVID-19 confirmed cases in South Asian countries, namely, Afghanistan, Bangladesh, India, Pakistan, and Sri Lanka. Data on daily confirmed cases, together with weather parameters, were collected from the first day of COVID confirmed cases in each country...

Physical SciencesMathematicsModeling and SimulationOpen Access
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