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Results for “"Afsana Ahsan Jeny"”

15 results

AcneNet - A Deep CNN Based Classification Approach for Acne Classes

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Masum Shah Junayed, Afsana Ahsan Jeny, Syeda Tanjila Atik, Nafis Neehal et al.

Year: 2019Citations: 81

Skin diseases are very common and nowadays easy to get remedy from. But, sometimes properly diagnosing these diseases can be quite troublesome due to the stiff hard-to-discriminate nature of the symptoms they exhibit. Deep Neural Networks, since its recent advent, has started outperforming different...

Health SciencesMedicineDermatologyOpen Access
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ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification With a New Dataset

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Masum Shah Junayed, Md Baharul Islam, Afsana Ahsan Jeny, Arezoo Sadeghzadeh et al.

Journal: IEEE AccessYear: 2021Citations: 57

Acne scarring occurs in 95% of people with acne vulgaris due to collagen loss or gains when the body is healing the damages of the skin caused by acne inflammation. Accurate classification of acne scars is a vital factor in providing a timely, effective treatment protocol. Dermatologists mainly reco...

Health SciencesMedicineDermatologyOpen Access
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EczemaNet: A Deep CNN-based Eczema Diseases Classification

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Masum Shah Junayed, Abu Noman Md Sakib, Nipa Anjum, Md Baharul Islam et al.

Year: 2020Citations: 38

Eczema is the most common among all types of skin diseases. A solution for this disease is very crucial for patients to have better treatment. Eczema is usually detected manually by doctors or dermatologists. It is tough to distinguish between different types of Eczema because of the similarities in...

Health SciencesMedicineOncology
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SkNet: A Convolutional Neural Networks Based Classification Approach for Skin Cancer Classes

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Afsana Ahsan Jeny, Abu Noman Md Sakib, Masum Shah Junayed, Khadija Akter Lima et al.

Year: 2020Citations: 19

Skin Cancer is one of the most common types of cancer. A solution for this globally recognized health problem is much required. Machine Learning techniques have brought revolutionary changes in the field of biomedical researches. Previously, It took a significant amount of time and much effort in de...

Health SciencesMedicineOncology
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FoNet - Local Food Recognition Using Deep Residual Neural Networks

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Afsana Ahsan Jeny, Masum Shah Junayed, Ikhtiar Ahmed, Md. Tarek Habib et al.

Year: 2019Citations: 14

Food is an inseparable part of any culture of any country all over the world. Recognition ability for local foods reflects the cultural strength. Moreover, it would be so beneficial if some can come to know the information about a food by capturing the image of the food with any smart cellphone. In ...

Physical SciencesEngineeringBiomedical Engineering
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A Comparative Study of Different CNN Models in City Detection Using Landmark Images

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Masum Shah Junayed, Afsana Ahsan Jeny, Nafis Neehal, Syeda Tanjila Atik et al.

Journal: Communications in computer and information scienceYear: 2019Citations: 10
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Machine Vision-based Expert System for Automated Cucumber Diseases Recognition and Classification

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Afsana Ahsan Jeny, Masum Shah Junayed, Md Baharul Islam, Hassan Imani et al.

Journal: 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)Year: 2021Citations: 9

Automated cucumber disease detection may significantly provide agricultural assistance for remote farmers. Due to having the similarity symptoms, it is challenging to differentiate between various forms of cucumber disease. This paper proposes an automated solution to recognize and classify the cucu...

Life SciencesAgricultural and Biological SciencesPlant Science
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Optimized video compression with residual split attention and swin-block artifact contraction

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Afsana Ahsan Jeny, Md Baharul Islam

Journal: Journal of Visual Communication and Image RepresentationYear: 2022Citations: 7
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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PassNet - Country Identification by Classifying Passport Cover Using Deep Convolutional Neural Networks

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Afsana Ahsan Jeny, Masum Shah Junayed, Syeda Tanjila Atik

Year: 2018Citations: 6

Globalization has enhanced the transportation system resulting in the increased mobility of the people all around the world. More people are now travelling outside their own border for self-refreshment or business purpose. The task of the immigration officers in the airport thus has become more chal...

Physical SciencesEngineeringMedia Technology
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Improving Image Compression With Adjacent Attention and Refinement Block

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Afsana Ahsan Jeny, Md Baharul Islam, Masum Shah Junayed, Debashish Das

Journal: IEEE AccessYear: 2022Citations: 5

Recently, learned image compression algorithms have shown incredible performance compared to classic hand-crafted image codecs. Despite its considerable achievements, the fundamental disadvantage is not optimized for retaining local redundancies, particularly non-repetitive patterns, which have a de...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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An efficient end-to-end deep neural network for interstitial lung disease recognition and classification

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Masum Shah Junayed, Afsana Ahsan Jeny, Md Baharul Islam, IKHTIAR AHMED et al.

Journal: TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCESYear: 2022Citations: 3

The automated Interstitial Lung Diseases (ILDs) classification technique is essential for assisting clinicians during the diagnosis process. Detecting and classifying ILDs patterns is a challenging problem. This paper introduces an end-to-end deep convolution neural network (CNN) for classifying ILD...

Health SciencesMedicinePulmonary and Respiratory MedicineOpen Access
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A Model for Identifying Historical Landmarks of Bangladesh from Image Content Using a Depth-Wise Convolutional Neural Network

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Afsana Ahsan Jeny, Masum Shah Junayed, Syeda Tanjila Atik, Sazzad Mahamd

Journal: Advances in intelligent systems and computingYear: 2019Citations: 3
Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Deep learning-based approach for recognition of local fish

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Masum Shah Junayed, Afsana Ahsan Jeny, Md. Tarek Habib, Md. Sadekur Rahman

Journal: International Journal of Intelligent Machines and RoboticsYear: 2024

Bangladesh is a riverine country with thousands of rivers and ponds. Bangladesh, being a fish-loving nation, is considered one of the most suitable areas for fish culture. People of this generation in Bangladesh usually fail to recognise the local freshwater fish. Performing a classification of fres...

Life SciencesBiochemistry, Genetics and Molecular BiologyMolecular BiologyOpen Access
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Machine Vision-Based Expert System for Automated Skin Cancer Detection

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Masum Shah Junayed, Afsana Ahsan Jeny, Lavdie Rada, Md Baharul Islam

Journal: Communications in computer and information scienceYear: 2022
Health SciencesMedicineOncology
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Incept-N: A Convolutional Neural Network Based Classification Approach for Predicting Nationality from Facial Features

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Masum Shah Junayed, Afsana Ahsan Jeny, Nafis Neehal, Eshtiak Ahmed et al.

Journal: Communications in computer and information scienceYear: 2019

The nationality of a human being is a well-known identifying characteristic used for every major authentication purpose in every country. Albeit advances in the application of Artificial Intelligence and Computer Vision in different aspects, its contribution to this specific security procedure is ye...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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