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Results for “"Uzzal Kumar Acharjee"”

16+ results

Blockchain-SDN-Based Energy-Aware and Distributed Secure Architecture for IoT in Smart Cities

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Md. Jahidul Islam, Anichur Rahman, Sumaiya Kabir, Md. Razaul Karim et al.

Journal: IEEE Internet of Things JournalYear: 2021Citations: 125

Insecure and portable devices in the smart city’s Internet of Things (IoT) network are increasing at an incredible rate. Various distributed and centralized platforms against cyber attacks have been implemented in recent years, but these platforms are inefficient due to their constrained levels of s...

Physical SciencesComputer ScienceInformation Systems
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Cyberbullying Detection on Social Networks Using Machine Learning Approaches

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Md. Manowarul Islam, Md. Ashraf Uddin, Linta Islam, Arnisha Akter et al.

Journal: 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE)Year: 2020Citations: 116

The use of social media has grown exponentially over time with the growth of the Internet and has become the most influential networking platform in the 21st century. However, the enhancement of social connectivity often creates negative impacts on society that contribute to a couple of bad phenomen...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A robust hybrid machine learning model for Bengali cyber bullying detection in social media

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Arnisha Akhter, Uzzal Kumar Acharjee, Md. Alamin Talukder, Md. Manowarul Islam et al.

Journal: Natural Language Processing JournalYear: 2023Citations: 79

Social networking platforms give users countless opportunities to share information, collaborate, and communicate positively. The same platform can be extended to a fabricated and poisonous atmosphere that gives an impersonal, harmful platform for online misuse and assault. Cyberstalking is when som...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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An efficient hybrid system for anomaly detection in social networks

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Md. Shafiur Rahman, Sajal Halder, Md. Ashraf Uddin, Uzzal Kumar Acharjee

Journal: CybersecurityYear: 2021Citations: 77

Abstract Anomaly detection has been an essential and dynamic research area in the data mining. A wide range of applications including different social medias have adopted different state-of-the-art methods to identify anomaly for ensuring user’s security and privacy. The social network refers to a f...

Physical SciencesComputer ScienceComputer Networks and CommunicationsOpen Access
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Computational discovery of plant-based inhibitors against human carbonic anhydrase IX and molecular dynamics simulation

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Shafi Mahmud, Md. Ekhtiar Rahman, Zulkar Nain, Mu’tasim Billah et al.

Journal: Journal of Biomolecular Structure and DynamicsYear: 2020Citations: 49

Carbonic anhydrase IX (hCAIX) is a membrane-spanning metalloenzyme, encoded by CA9 gene, which can lead to various carcinomas if upregulated. Due to its overexpression in many cancer tissues, hCAIX has become a promising target for developing anticancer therapeutics. Furthermore, several classes of ...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular Biology
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Securing transactions: a hybrid dependable ensemble machine learning model using IHT-LR and grid search

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Md. Alamin Talukder, Rakib Hossen, Md. Ashraf Uddin, Mohammed Nasir Uddin et al.

Journal: CybersecurityYear: 2024Citations: 36

Abstract Financial institutions and businesses face an ongoing challenge from fraudulent transactions, prompting the need for effective detection methods. Detecting credit card fraud is crucial for identifying and preventing unauthorized transactions. While credit card fraud incidents are relatively...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Clinical manifestations and socio-demographic status of COVID-19 patients during the second-wave of pandemic: A Bangladeshi experience

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Md Roushan Ali, Md. Amit Hasan, Md. Siddikur Rahman, Mu’tasim Billah et al.

Journal: Journal of Infection and Public HealthYear: 2021Citations: 34

BACKGROUND: Bangladesh is a densely populated country with a substandard healthcare system and a mediocre economic framework. Due to the enormous number of people who have been unaware until now, the development of COVID-19's second-wave infection has become a severe threat. The present investigatio...

Health SciencesMedicineInfectious DiseasesOpen Access
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An SDN Based Distributed IoT Network with NFV Implementation for Smart Cities

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Bivash Kanti Mukherjee, Sadiqul Islam Pappu, Md. Jahidul Islam, Uzzal Kumar Acharjee

Journal: Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications EngineeringYear: 2020Citations: 30
Physical SciencesComputer ScienceComputer Networks and Communications
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Phytochemical Compound Screening to Identify Novel Small Molecules against Dengue Virus: A Docking and Dynamics Study

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Mst. Sharmin Sultana Shimu, Shafi Mahmud, Trina Ekawati Tallei, Saad Ahmed Sami et al.

Journal: MoleculesYear: 2022Citations: 25

The spread of the Dengue virus over the world, as well as multiple outbreaks of different serotypes, has resulted in a large number of deaths and a medical emergency, as no viable medications to treat Dengue virus patients have yet been found. In this paper, we provide an in silico virtual screening...

Health SciencesMedicinePublic Health, Environmental and Occupational HealthOpen Access
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Investigation of mechanisms involved in seed germination enhancement, enzymatic activity and seedling growth of rice (Oryza Sativa L.) using LPDBD (Ar+Air) plasma

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Mu’tasim Billah, Sumon Karmakar, Fahmida Begum Mina, Md. Nazmul Haque et al.

Journal: Archives of Biochemistry and BiophysicsYear: 2020Citations: 24

The study investigates the effect of LPDBD (Low Power Dielectric Barrier Discharge) (Ar + Air) plasma on seed germination, seedling growth and antioxidant enzyme activity of rice. Rice seeds were treated with LPDBD (Ar + Air) plasma for 2 min, 4 min, 6 min, 8 min and 10 min. Seed germination rate, s...

Health SciencesMedicineRadiology, Nuclear Medicine and Imaging
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Deep viewing for the identification of Covid-19 infection status from chest X-Ray image using CNN based architecture

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Partho Ghose, Md. Ashraf Uddin, Uzzal Kumar Acharjee, Selina Sharmin

Journal: Intelligent Systems with ApplicationsYear: 2022Citations: 23

In recent years, coronavirus (Covid-19) has evolved into one of the world's leading life-threatening severe viral illnesses. A self-executing accord system might be a better option to stop Covid-19 from spreading due to its quick diagnostic option. Many researches have already investigated various d...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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An online observational study assessing clinical characteristics and impacts of the COVID-19 pandemic on mental health: a perspective study from Bangladesh

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Fahmida Begum Mina, Mu’tasim Billah, Sumon Karmakar, Sabuj Das et al.

Journal: Journal of Public HealthYear: 2021Citations: 22

Purpose The pandemic of coronavirus disease 2019 (COVID-19) has cost numerous lives and induced tremendous mental stress among people. The purpose of this research was to determine anxiety and depression levels, clinical features, and the connections between demographic variables and depression prev...

Social SciencesPsychologyClinical PsychologyOpen Access
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DTLCx: An Improved ResNet Architecture to Classify Normal and Conventional Pneumonia Cases from COVID-19 Instances with Grad-CAM-Based Superimposed Visualization Utilizing Chest X-ray Images

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Md. Khabir Uddin Ahamed, Md. Manowarul Islam, Md. Ashraf Uddin, Arnisha Akhter et al.

Journal: DiagnosticsYear: 2023Citations: 20

COVID-19 is a severe respiratory contagious disease that has now spread all over the world. COVID-19 has terribly impacted public health, daily lives and the global economy. Although some developed countries have advanced well in detecting and bearing this coronavirus, most developing countries are ...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Molecular docking and dynamics simulation approach of Camellia sinensis leaf extract derived compounds as potential cholinesterase inhibitors

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Md. Eram Hosen, Md. Sojiur Rahman, Md Omar Faruqe, Md Khalekuzzaman et al.

Journal: In Silico PharmacologyYear: 2023Citations: 18

The tea plant ( Camellia sinensis ) belongs to the family Theaceae and contains many phytochemicals that are effective against various diseases, including neurodegenerative disorders. In this study, we aimed to characterize the phytochemicals present in the methanolic and n-hexane leaf extracts of C...

Health SciencesMedicinePharmacologyOpen Access
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A Parasitic Resonator-Based Diamond-Shaped Microstrip Antenna for Microwave Imaging Applications

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Md. Zulfiker Mahmud, Md Tarikul Islam, Ali F. Almutairi, Md Samsuzzaman et al.

Journal: ElectronicsYear: 2019Citations: 18

This study proposes a new parasitic resonator-based diamond-shaped microstrip patch antenna for ultra-wideband microwave imaging applications. The antenna consists of a diamond-shaped radiating patch, partial ground plane, and four-star shape parasitic elements. The use of parasitic elements improve...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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