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Results for “"Aloke Kumar Saha"”

16+ results

Deep-BERT: Transfer Learning for Classifying Multilingual Offensive Texts on Social Media

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Md. Anwar Hussen Wadud, M. F. Mridha, Jungpil Shin, Kamruddin Nur et al.

Journal: Computer Systems Science and EngineeringYear: 2022Citations: 57

Offensive messages on social media, have recently been frequently used to harass and criticize people. In recent studies, many promising algorithms have been developed to identify offensive texts. Most algorithms analyze text in a unidirectional manner, where a bidirectional method can maximize perf...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Privacy-Preserving On-Screen Activity Tracking and Classification in E-Learning Using Federated Learning

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Durjoy Mistry, M. F. Mridha, Mejdl Safran, Sultan Alfarhood et al.

Journal: IEEE AccessYear: 2023Citations: 42

E-learning, a modern method of education that utilizes electronic technologies such as computers, mobile devices, and the internet, has experienced a significant surge in adoption and usage in recent years. While it has the potential to reach every corner of the world, it also creates an opportunity...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Glucose-6-phosphate Dehydrogenase Deficiency: A Case Report

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Md. Kamrul Hassan, Aloke Kumar Saha, Lakshman Chandra Kundu, Poly Begum et al.

Journal: Faridpur Medical College JournalYear: 2017Citations: 20

Glucose-6-phosphate dehydrogenase (G6PD) deficiency is the most common hereditary enzyme disorder and more than 200 million people have a deficiency in this enzyme. G6PD deficiency is an X-linked enzyme defect, and one of its main signs is the presence of hemolytic anemia. It is a worldwide importan...

Health SciencesMedicinePediatrics, Perinatology and Child HealthOpen Access
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Computer vision based deep learning approach for toxic and harmful substances detection in fruits

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Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu et al.

Journal: HeliyonYear: 2024Citations: 16

Formaldehyde (CH₂O) is one of the significant chemicals mixed with different perishable fruits in Bangladesh. The fruits are artificially preserved for extended periods by dishonest vendors using this dangerous chemical. Such substances are complicated to detect in appearance. Hence, a reliable and ...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Explainable federated learning for privacy-preserving bangla sign language detection

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Bidita Sarkar Diba, Jayonto Dutta Plabon, M.D. Mahmudur Rahman, Durjoy Mistry et al.

Journal: Engineering Applications of Artificial IntelligenceYear: 2024Citations: 15
Physical SciencesComputer ScienceSignal Processing
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New approach of solving semantic ambiguity problem of Bangla Root words using universal networking language (UNL)

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M. F. Mridha, Aloke Kumar Saha, Jugal Krishna Das

Year: 2014Citations: 13

Ambiguity problems of Bangla ROOT words are the difficult problems in the field of natural language processing of Bangla sentence. In this work we looked at it through the knowledge based perspective and language phenomena in terms of rules and dictionary features. This work is more focused on solvi...

Physical SciencesComputer ScienceArtificial Intelligence
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CNN-NSVM Architecture for Skin Lesion Classification Using Non-Dermoscopic Digital Image

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Md. Mohsin Kabir, Parisa Mehera, Aloke Kumar Saha, M. F. Mridha et al.

Year: 2021Citations: 10

Skin cancer has become a severe problem for medical diagnosis. The adoption of Artificial Intelligence (AI) in pharmaceutical diagnosis is constantly improving. Lately, AI-based computer-aided diagnostics explications for the diagnosis of skin disease have been of prominent concern. Notwithstanding ...

Health SciencesMedicineOncology
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A Novel Lossless Coding Technique for Image Compression

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Md. Atiqur Rahman, Jungpil Shin, Aloke Kumar Saha, Md. Rashedul Islam

Year: 2018Citations: 10

Advanced imaging technology produces a vast amount of data, particularly from the computed tomography modality. Store the imaging data and/or transfer the data through internet is a significant challenge in terms of cost and time. From this point of view, it is obligatory to compress the imaging dat...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Facial Image Generation from Bangla Textual Description using DCGAN and Bangla FastText

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Noor Mairukh Khan Arnob, Nakiba Nuren Rahman, Saiyara Mahmud, Md Nahiyan Uddin et al.

Journal: International Journal of Advanced Computer Science and ApplicationsYear: 2023Citations: 7

The synthesis of facial images from textual descriptions is a relatively difficult subfield of text-to-image synthesis. It is applicable in various domains like Forensic Science, Game Development, Animation, Digital Marketing, and Metaverse. However, no work was found that generates facial images fr...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A comprehensive approach to detecting chemical adulteration in fruits using computer vision, deep learning, and chemical sensors

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Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu et al.

Journal: Intelligent Systems with ApplicationsYear: 2024Citations: 6

Contamination of harmful additives in fruits has become a concerning norm these days. Owing to the great popularity of fruits, dishonest vendors frequently use harmful chemicals to contaminate fruits to extend their shelf life, which is extremely dangerous for the general public's health. To mitigat...

Physical SciencesChemistryAnalytical ChemistryOpen Access
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An Efficient Technique for Recognizing Tomato Leaf Disease Based on the Most Effective Deep CNN Hyperparameters

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Md. Rajibul Islam, Md. Asif Mahmod Tusher Siddique, Md Amiruzzaman, M. Abdullah‐Al‐Wadud et al.

Journal: Annals of Emerging Technologies in ComputingYear: 2023Citations: 6

Leaf disease in tomatoes is one of the most common and treacherous diseases. It directly affects the production of tomatoes, resulting in enormous economic loss each year. As a result, studying the detection of tomato leaf diseases is essential. To that aim, this work introduces a novel mechanism fo...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Development of Interactive Data Visualization System in Three-Dimensional Immersive Space

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Shah Murtaza Rashid Al Masud, Homaira Adiba, Tamzid Hossain, Aloke Kumar Saha et al.

Journal: International Journal of Advanced Computer Science and ApplicationsYear: 2023Citations: 6

Today’s data-driven environments require innovative tools and methods to analyze and present data. The growth of data across many domains and remarkable technological advances have necessitated a shift from 2D data representations. The rapid growth in dataset scale, variety, and speed has revealed t...

Physical SciencesEngineeringControl and Systems EngineeringOpen Access
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Risk Factors of Low Birth Weight Baby: A Review

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Poly Begum, Md. Kamrul Hassan, Aloke Kumar Saha, Tahmina Akter et al.

Journal: Faridpur Medical College JournalYear: 2017Citations: 6

Low birth weight (LBW) is one of the main predictors of infant mortality. The global incidence of LBW is around 17%, although estimates vary from 19% in the developing countries like Bangladesh to 5-7% in the developed countries. About one third of delivery is low birth weight. LBW is generally asso...

Health SciencesNursingNutrition and DieteticsOpen Access
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Abundance and Diversity of Zooplankton in Semi-Intensive Shrimp (Penaeus monodon) Farm

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Alokesh Kumar Ghosh, Suman Saha, Md. Rashedul Islam, SM Bazlur

Journal: International Journal of Life SciencesYear: 2012Citations: 6

The present study was carried out on the seasonal abundance and diversity of zooplankton in a semi- intensive shrimp farm of Bagerhat district from June to December, 2008. Plankton samples were collected by conical shaped monofilament nylon net (Plankton net) and Lugol’s solution was used for preser...

Life SciencesAgricultural and Biological SciencesAquatic ScienceOpen Access
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Modeling of 5G-Enabled Hybrid Visible Light Communication Systems for Autonomous Vehicles

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Mohammed M. Rahman, A. S. M. Bakibillah, Aloke Kumar Saha

Year: 2024Citations: 5

Vehicle-to-vehicle Visible Light Communication (V2V-VLC) is a promising technology in Intelligent Transportation Systems (ITS) that utilizes visible light signals for communication between autonomous vehicles (AVs). In this paper, we present a new 5G-enabled hybrid V2V-VLC model for AVs complying wi...

Physical SciencesEngineeringElectrical and Electronic Engineering
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