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Results for “"Mohammad Badrul Alam Miah"”

16+ results

Detection of lung cancer from CT image using image processing and neural network

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Mohammad Badrul Alam Miah, Mohammad Abu Yousuf

Year: 2015Citations: 130

Detection of lung cancer is the most interesting research area of researcher's in early stages. The proposed system is designed to detect lung cancer in premature stage in two stages. The proposed system consists of many steps such as image acquisition, preprocessing, binarization, thresholding, seg...

Health SciencesMedicinePulmonary and Respiratory Medicine
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Handwritten Digit Recognition Using Machine Learning Algorithms

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S. M. Shamim, Mohammad Badrul Alam Miah, Angona Sarker, Masud Rana et al.

Journal: Indonesian Journal of Science and TechnologyYear: 2018Citations: 105

Handwritten character recognition is one of the practically important issues in pattern recognition applications. The applications of digit recognition include in postal mail sorting, bank check processing, form data entry, etc. The main problem lies within the ability on developing an efficient alg...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Blockchain-based security management of IoT infrastructure with Ethereum transactions

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Sk. Tanzir Mehedi, Abdullah Al Mamun Shamim, Mohammad Badrul Alam Miah

Journal: Iran Journal of Computer ScienceYear: 2019Citations: 45
Physical SciencesComputer ScienceInformation Systems
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Design and optimization of photonic crystal fiber based sensor for gas condensate and air pollution monitoring

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Md. Ibadul Islam, Kawsar Ahmed, Shuvo Sen, Sawrab Chowdhury et al.

Journal: Photonic SensorsYear: 2017Citations: 38

In this paper, a hexagonal shape photonic crystal fiber (H-PCF) has been proposed as a gas sensor of which both micro-structured core and cladding are organized by circular air cavities. The reported H-PCF has a single layer circular core which is surrounded by a five-layer hexagonal cladding. The o...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Porous shaped photonic crystal fiber with strong confinement field in sensing applications: Design and analysis

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Sawrab Chowdhury, Shuvo Sen, Kawsar Ahmed, Bikash Kumar Paul et al.

Journal: Sensing and Bio-Sensing ResearchYear: 2017Citations: 31

In this article, porous core porous cladding photonic crystal fiber (P-PCF) has been proposed for aqueous analytes sensing applications. Guiding properties of the proposed P-PCF has been numerically investigated by utilizing the full vectorial finite element method (FEM). The relative sensitivity an...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Single-mode spiral shape fiber based liquid sensor with ultra-high sensitivity and ultra-low loss: Design and analysis

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Md Ibadul Islam, Kawsar Ahmed, Md. Shadidul Islam, Bikash Kumar Paul et al.

Journal: Karbala International Journal of Modern ScienceYear: 2017Citations: 15

This paper represents a spiral photonic crystal fiber (S-PCF) based optical sensor which exhibits high relative sensitive as well as low confinement loss simultaneously. The proposed PCF contains ten arms as well as each arm consists of nine circular air holes that forms spiral shape and core is for...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Dataset on photonic crystal fiber based chemical sensor

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Kawsar Ahmed, Bikash Kumar Paul, Sawrab Chowdhury, Md. Shadidul Islam et al.

Journal: Data in BriefYear: 2017Citations: 15

This article represents the data set of micro porous core photonic crystal fiber based chemical sensor. The suggested structure is folded cladding porous shaped with circular air hole. Here is investigated four distinctive parameters including relative sensitivity, confinement loss, numerical apertu...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Analysis the significant risk factors on type 2 diabetes perspective of Bangladesh

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Mohammad Badrul Alam Miah, Mohammad Abu Yousuf

Journal: Diabetes & Metabolic Syndrome Clinical Research & ReviewsYear: 2018Citations: 14

Millions of people in Bangladesh and the world have a metabolic disease named diabetes. It is also responsible for occurring different kinds of diseases such as heart attack, kidney disease, blindness and renal failure. Diabetes is a deadly, disabling disease whose risk is increasing at an alarming ...

Health SciencesMedicineEndocrinology, Diabetes and Metabolism
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Enhanced Brain Tumor Classification Using MobileNetV2: A Comprehensive Preprocessing and Fine-Tuning Approach

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Md Atiqur Rahman, Mohammad Badrul Alam Miah, Md. Abir Hossain, A. S. M. Sanwar Hosen

Journal: BioMedInformaticsYear: 2025Citations: 10

Background: Brain tumors are among the most difficult diseases to deal with in modern medicine due to the uncontrolled cell proliferation, which causes grave damage to the nervous system. Brain tumors can be broadly classified into two categories: primary tumors, which originate within the brain, an...

Life SciencesNeuroscienceNeurologyOpen Access
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Design and Analysis of Single-Mode PCF in Optical Communication Covering E to L Bands with Ultra-High Negative Dispersion

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Md Ibadul Islam, Mst. Sharifa Khatun, Kawsar Ahmed, Group of Bio-photomatix (Bangladesh) et al.

Journal: Ukrainian Journal of PhysicsYear: 2017Citations: 8

A single-mode square photonic crystal fiber (S-PCF) for the wide-band dispersion compensation at the wavelength interval 1340 to 1640 nm over the telecommunication windows is represented. In the numerical analysis of several guiding properties of the photonic crystal fiber (PCF), a finite-element me...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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An Analysis of QoS in ZigBee Network Based on Deviated Node Priority

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Md. Jaminul Haque Biddut, Nazrul Islam, Md. Maksudul Karim, Mohammad Badrul Alam Miah

Journal: Journal of Electrical and Computer EngineeringYear: 2016Citations: 8

ZigBee is an IEEE 802.15.4 standardized communication protocol. It forms a flawless Wireless Sensor Network (WSN) standard for interoperability at all levels of the network, particularly the application level which most closely touches the user. A large number of devices from different vendors can w...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Keyphrases Concentrated Area Identification from Academic Articles as Feature of Keyphrase Extraction: A New Unsupervised Approach

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Mohammad Badrul Alam Miah, Suryanti Awang, Saiful Azad, M. M. Rahman

Journal: International Journal of Advanced Computer Science and ApplicationsYear: 2022Citations: 7

The extraction of high-quality keywords and sum-marising documents at a high level has become more difficult in current research due to technological advancements and the expo-nential expansion of textual data and digital sources. Extracting high-quality keywords and summarising the documents at a h...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Handwritten Numeric and Alphabetic Character Recognition and Signature Verification Using Neural Network

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Md. Hasan Hasnain Nashif, Md. Badrul Alam Miah, Ahsan Habib, Autish Chandra Moulik et al.

Journal: Journal of Information SecurityYear: 2018Citations: 7

Handwritten signature and character recognition has become challenging research topic due to its numerous applications. In this paper, we proposed a system that has three sub-systems. The three subsystems focus on offline recognition of handwritten English alphabetic characters (uppercase and lowerc...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles

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Mohammad Badrul Alam Miah, Suryanti Awang, M. M. Rahman, A. S. M. Sanwar Hosen et al.

Journal: ElectronicsYear: 2022Citations: 5

Automated keyphrase extraction is crucial for extracting and summarizing relevant information from a variety of publications in multiple domains. However, the extraction of good-quality keyphrases and the summarising of information to a good standard have become extremely challenging in recent resea...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Keyphrases Frequency Analysis From Research Articles: A Region-Based Unsupervised Novel Approach

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Mohammad Badrul Alam Miah, Suryanti Awang, M. M. Rahman, A. S. M. Sanwar Hosen et al.

Journal: IEEE AccessYear: 2022Citations: 5

Due to the advancement of technology and the exponential proliferation of digital sources and textual data, the extraction of high-quality keyphrases and the summarizing of content at a high standard has become increasingly difficult in current research. Extracting high-quality keyphrases and summin...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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