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Results for “"Nazmul Siddique"”

16+ results

A dynamic ensemble learning algorithm for neural networks

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Kazi Md. Rokibul Alam, Nazmul Siddique, Hojjat Adeli

Journal: Neural Computing and ApplicationsYear: 2019Citations: 527

This paper presents a novel dynamic ensemble learning (DEL) algorithm for designing ensemble of neural networks (NNs). DEL algorithm determines the size of ensemble, the number of individual NNs employing a constructive strategy, the number of hidden nodes of individual NNs employing a constructive–...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Facial Emotion Recognition Using Transfer Learning in the Deep CNN

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M. A. H. Akhand, Shuvendu Roy, Nazmul Siddique, Md Abdus Samad Kamal et al.

Journal: ElectronicsYear: 2021Citations: 319

Human facial emotion recognition (FER) has attracted the attention of the research community for its promising applications. Mapping different facial expressions to the respective emotional states are the main task in FER. The classical FER consists of two major steps: feature extraction and emotion...

Social SciencesPsychologyExperimental and Cognitive PsychologyOpen Access
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Discrete Spider Monkey Optimization for Travelling Salesman Problem

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M. A. H. Akhand, Safial Islam Ayon, Shaikh Akib Shahriyar, Nazmul Siddique et al.

Journal: Applied Soft ComputingYear: 2019Citations: 220

Meta-heuristic algorithms inspired by biological species have become very popular in recent years. Collective intelligence of various social insects such as ants, bees, wasps, termites, birds, fish, has been investigated to develop a number of meta-heuristic algorithms in the general domain of swarm...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Epitope-based chimeric peptide vaccine design against S, M and E proteins of SARS-CoV-2 etiologic agent of global pandemic COVID-19: an in silico approach

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M. Shaminur Rahman, M. Nazmul Hoque, M. Rafiul Islam, Salma Akter et al.

Journal: PeerJYear: 2020Citations: 162

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the ongoing pandemic of coronavirus disease 2019 (COVID-19), a public health emergency of international concerns declared by the World Health Organization (WHO). An immuno-informatics approach along with comparati...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Optimization of University Course Scheduling Problem using Particle Swarm Optimization with Selective Search

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Sk Imran Hossain, M. A. H. Akhand, M. I. R. Shuvo, Nazmul Siddique et al.

Journal: Expert Systems with ApplicationsYear: 2019Citations: 156

The University Course Scheduling Problem (UCSP) is a highly constrained real-world combinatorial optimization task. Solving UCSP means creating an optimal course schedule by assigning courses to specific rooms, instructors, students, and timeslots by taking into account the given constraints. Severa...

Social SciencesDecision SciencesManagement Science and Operations ResearchOpen Access
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A hybrid approach for Bangla sign language recognition using deep transfer learning model with random forest classifier

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Sunanda Das, Md. Samir Imtiaz, Nieb Hasan Neom, Nazmul Siddique et al.

Journal: Expert Systems with ApplicationsYear: 2022Citations: 150

Sign language is the comprehensive medium of mass communication for hearing and speaking impaired individuals. As they cannot speak or hear, they are not able to use sound or vocal signals as an information medium for their communication. Rather, they are bound to exchange visual signals to express ...

Physical SciencesComputer ScienceHuman-Computer InteractionOpen Access
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Chemical profiles and pharmacological insights of Anisomeles indica Kuntze: An experimental chemico-biological interaction

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Suaad Nasrin, Mohammad Nazmul Islam, Mohammed Abu Tayab, Shamima Nasrin et al.

Journal: Biomedicine & PharmacotherapyYear: 2022Citations: 55

Anisomeles indica (L.) Kuntze is an ethnomedicinally important plant that has long been used in traditional medicine to treat a variety of ailments, including dyspepsia, abdominal pain, colic, allergies, inflammation, and rheumatic arthritis. However, the scientific framework underlying these medici...

Life SciencesPharmacology, Toxicology and PharmaceuticsPharmacologyOpen Access
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Bengali text document categorization based on very deep convolution neural network

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Md. Rajib Hossain, Mohammed Moshiul Hoque, Nazmul Siddique, Iqbal H. Sarker

Journal: Expert Systems with ApplicationsYear: 2021Citations: 54

In recent years, the amount of digital text contents or documents in the Bengali language has increased enormously on online platforms due to the effortless access of the Internet via electronic gadgets. As a result, an enormous amount of unstructured data is created that demands much time and effor...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Automatic Detection of Eye Cataract using Deep Convolution Neural Networks (DCNNs)

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Md. Rajib Hossain, Sadia Afroze, Nazmul Siddique, Mohammed Moshiul Hoque

Journal: 2020 IEEE Region 10 Symposium (TENSYMP)Year: 2020Citations: 53

Eye cataract is a condition in which the lens of the eye becomes clouding or less transparent. This affects the clear vision and is the most prevailing causes of blindness. Therefore, early cataract detection and prevention may reduce the blindness rate and surgery pain of the patients. This paper p...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Association between chronic arsenic exposure and the characteristic features of asthma

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Abu Eabrahim Siddique, Mizanur Rahman, Md. Imam Hossain, Yeasir Karim et al.

Journal: ChemosphereYear: 2019Citations: 53

Widespread contamination of arsenic (As) has become a global public health concern. Exposure to As causes respiratory complications. Asthma, a major respiratory complication, is increasing worldwide. However, the effect of chronic As exposure on the risk of asthma remains to be clarified. This study...

Physical SciencesEnvironmental ScienceHealth, Toxicology and Mutagenesis
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Microbiome signature and diversity regulates the level of energy production under anaerobic condition

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M. Shaminur Rahman, M. Nazmul Hoque, Joynob Akter Puspo, M. Rafiul Islam et al.

Journal: Scientific ReportsYear: 2021Citations: 46

Abstract The microbiome of the anaerobic digester (AD) regulates the level of energy production. To assess the microbiome diversity and composition in different stages of anaerobic digestion, we collected 16 samples from the AD of cow dung (CD) origin. The samples were categorized into four groups (...

Physical SciencesEngineeringBuilding and ConstructionOpen Access
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Molecular detection of vancomycin and methicillin resistance in Staphylococcus aureus isolated from food processing environments

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Md. Ahosanul Haque Shahid, K. H. M. Nazmul Hussain Nazir, Mohamed E. El Zowalaty, Ajran Kabir et al.

Journal: One HealthYear: 2021Citations: 45

Staphylococcus aureus is a well-known foodborne pathogen. The aim of this study was to investigate the presence of S. aureus isolated from serving utensils in food processing environments in Mymensingh city, Bangladesh and to determine their antibiogram and resistance determinants. A total of 120 en...

Health SciencesMedicineInfectious DiseasesOpen Access
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Estimation of Road Boundary for Intelligent Vehicles Based on DeepLabV3+ Architecture

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Sunanda Das, Awal Ahmed Fime, Nazmul Siddique, M. M. A. Hashem

Journal: IEEE AccessYear: 2021Citations: 41

Road boundary estimation is an essential task for autonomous vehicles and intelligent driving assistants. It is considerably straightforward to attain the task when roads are marked properly with indicators. However, estimating road boundary reliably without prior knowledge of the road, such as road...

Physical SciencesEngineeringAutomotive EngineeringOpen Access
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Modeling and forecasting exchange rate volatility in Bangladesh using GARCH models: a comparison based on normal and Student’s t-error distribution

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S M Abdullah, Salina Siddiqua, Muhammad Shahadat Hossain Siddiquee, Nazmul Hossain

Journal: Financial InnovationYear: 2017Citations: 41

Background: Modeling exchange rate volatility has remained crucially important because of its diverse implications. This study aimed to address the issue of error distribution assumption in modeling and forecasting exchange rate volatility between the Bangladeshi taka (BDT) and the US dollar ($). Me...

Social SciencesEconomics, Econometrics and FinanceFinanceOpen Access
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Vulnerability assessment of seawater intrusion in coastal aquifers of southern Bangladesh: Water quality appraisals

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Md. Nazmul Hasan, Md. Abu Bakar Siddique, A.H.M. Selim Reza, Rahat Khan et al.

Journal: Environmental Nanotechnology Monitoring & ManagementYear: 2021Citations: 40
Physical SciencesEarth and Planetary SciencesGeochemistry and Petrology
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