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Results for “"Masum Shah Junayed"”

16+ 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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Investigation of Different Machine Learning Algorithms to Determine Human Sentiment Using Twitter Data

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G. Mostafa, Ikhtiar Ahmed, Masum Shah Junayed

Journal: International Journal of Information Technology and Computer ScienceYear: 2021Citations: 27

In recent years, with the advancement of the internet, social media is a promising platform to explore what going on around the world, sharing opinions and personal development. Now, Sentiment analysis, also known as text mining is widely used in the data science sector. It is an analysis of textual...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A Deep CNN Model for Skin Cancer Detection and Classification

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

Journal: Computer Science Research NotesYear: 2021Citations: 22

Skin cancer is one of the most dangerous types of cancers that affect millions of people every year. The detection ofskin cancer in the early stages is an expensive and challenging process. In recent studies, machine learning-basedmethods help dermatologists in classifying medical images. This paper...

Health SciencesMedicineOncologyOpen Access
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A Comparative Study of Different Deep Learning Model for Recognition of Handwriting Digits

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Asif Karim, Pronab Ghosh, Atqiya Abida Anjum, Masum Shah Junayed et al.

Journal: SSRN Electronic JournalYear: 2021Citations: 21
Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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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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Acne Vulgaris Detection and Classification: A Dual Integrated Deep CNN Model

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Md Baharul Islam, Masum Shah Junayed, Arezoo Sadeghzadeh, Nipa Anjum et al.

Journal: InformaticaYear: 2023Citations: 14

Recognizing acne disease and evaluating its type is vital for the efficacy of the medical treatment. This report collects a dataset of 420 images and then labels them into seven different classes by a well-experienced dermatologist. After a pre-processing step, including local and global contrast en...

Health SciencesMedicineDermatologyOpen Access
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A Deep CNN Model for Skin Cancer Detection and Classification

Verified

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

Journal: Computer Science Research NotesYear: 2021Citations: 14

Skin cancer is one of the most dangerous types of cancers that affect millions of people every year. The detection ofskin cancer in the early stages is an expensive and challenging process. In recent studies, machine learning-basedmethods help dermatologists in classifying medical images. This paper...

Health SciencesMedicineOncologyOpen Access
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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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A Transformer-Based Versatile Network for Acne Vulgaris Segmentation

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Masum Shah Junayed, Md Baharul Islam, Nipa Anjum

Journal: 2022 Innovations in Intelligent Systems and Applications Conference (ASYU)Year: 2022Citations: 7

One of the most typical skin disorders is acne. Finding acne problems to treat is a complicated process. Dermatologists use manual skin evaluation techniques, such as visual and photography inspection, to find it. Acne on the patient's face is manually marked and counted, a laborious and arbitrary p...

Health SciencesMedicineDermatology
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Real-Time YOLO-based Heterogeneous Front Vehicles Detection

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Masum Shah Junayed, Md Baharul Islam, Arezoo Sadeghzadeh, Tarkan Aydın

Journal: 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)Year: 2021Citations: 7

The perception of the complex road environment is a critical factor in autonomous driving, which has become the research focus in intelligent vehicles. In this paper, a real-time front vehicle detection system is proposed to ensure safe driving in a complex environment, particularly in congested meg...

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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