BORRBangladesh Open Research Repository
SearchSubmitAboutContact
BORRResearch for a Better Bangladesh.
AboutSubmit PaperContactTermsPolicyGitHub

© 2026 Bangladesh Open Research Repository.

Filters

Sort By

Sort by relevanceSort by dateSort by citations
Year Range
to

Results for “"Mohammad Shorif Uddin"”

16+ results

Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study

Verified

Umme Sara, Morium Akter, Mohammad Shorif Uddin

Journal: Journal of Computer and CommunicationsYear: 2019Citations: 1600

Quality is a very important parameter for all objects and their functionalities. In image-based object recognition, image quality is a prime criterion. For authentic image quality evaluation, ground truth is required. But in practice, it is very difficult to find the ground truth. Usually, image qua...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
Read Source

Digital Image Watermarking Techniques: A Review

Verified

Mahbuba Begum, Mohammad Shorif Uddin

Journal: InformationYear: 2020Citations: 287

Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitabl...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
Read Source

A machine learning approach for skin disease detection and classification using image segmentation

Verified

Mostafiz Ahammed, Md. Al Mamun, Mohammad Shorif Uddin

Journal: Healthcare AnalyticsYear: 2022Citations: 211

Skin diseases are common health problems around the world. The perils of the infections are invisible, which cause physical health distress as well as initiate mental depression. In addition, it sometimes leads to skin cancer in severe cases. Subsequently, diagnosing skin diseases from clinical imag...

Health SciencesMedicineOncologyOpen Access
Read Source

Machine vision based papaya disease recognition

Verified

Md. Tarek Habib, Anup Majumder, A.Z.M. Jakaria, Morium Akter et al.

Journal: Journal of King Saud University - Computer and Information SciencesYear: 2018Citations: 178

Over the years little research has been performed for vision-based papaya disease recognition system in order to help distant farmers, most of whom require proper support for cultivation. Due to advancement of vision-based technology we find a good solution to this problem. Papaya disease recognitio...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
Read Source

An in-depth analysis of machine learning approaches to predict depression

Verified

Md. Sabab Zulfiker, Nasrin Kabir, Al Amin Biswas, Tahmina Nazneen et al.

Journal: Current Research in Behavioral SciencesYear: 2021Citations: 152

Among all the forms of psychological and mental disorders, depression is the most common form. Nowadays a large number of youths and adults around the world suffer from depression. Depression can cause severe problems in case of failing to detect it at an early stage or failing to ensure the timely ...

Social SciencesPsychologySocial PsychologyOpen Access
Read Source

Techniques for the extraction of phytosterols and their benefits in human health: a review

Verified

Mohammad Shorif Uddin, Sahena Ferdosh, Md. Jahurul Haque Akanda, Kashif Ghafoor et al.

Journal: Separation Science and TechnologyYear: 2018Citations: 129

This review summarizes the information on the health-promoting effects of phytosterols and the techniques for their extraction. The extraction and analysis processes of phytosterols are complex and have not been fully established. Phytosterols have significant roles in the areas of foods, nutrition,...

Health SciencesMedicineSurgeryOpen Access
Read Source

A Hybrid robust watermarking system based on discrete cosine transform, discrete wavelet transform, and singular value decomposition

Verified

Mahbuba Begum, Jannatul Ferdush, Mohammad Shorif Uddin

Journal: Journal of King Saud University - Computer and Information SciencesYear: 2021Citations: 125

Digital data sharing is increased day by day due to the rapid access of the Internet by mass people. Multimedia, for example text, image, video, and audio can be easily accessed by unauthorized users. To ensure multimedia security, researchers are focusing on digital image watermarking. A robust wat...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
Read Source

Analysis of data mining techniques for heart disease prediction

Verified

Marjia Sultana, Afrin Haider, Mohammad Shorif Uddin

Year: 2016Citations: 116

Heart disease is considered as one of the major causes of death throughout the world. It cannot be easily predicted by the medical practitioners as it is a difficult task which demands expertise and higher knowledge for prediction. This paper addresses the issue of prediction of heart disease accord...

Health SciencesHealth ProfessionsHealth Information Management
Read Source

Covid-19 detection in chest X-ray through random forest classifier using a hybridization of deep CNN and DWT optimized features

Verified

Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, Md. Mahfuz Reza et al.

Journal: Journal of King Saud University - Computer and Information SciencesYear: 2020Citations: 80

Chest X-ray image contains sufficient information that finds wide-spread applications in diverse disease diagnosis and decision making to assist the medical experts. This paper has proposed an intelligent approach to detect Covid-19 from the chest X-ray image using the hybridization of deep convolut...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
Read Source

An Efficient Disease Detection Technique of Rice Leaf Using AlexNet

Verified

Md. Mafiul Hasan Matin, Amina Khatun, Md. Golam Moazzam, Mohammad Shorif Uddin

Journal: Journal of Computer and CommunicationsYear: 2020Citations: 76

As nearly half of the people in the world live on rice, so the rice leaf disease detection is very important for our agricultural sector. Many researchers worked on this problem and they achieved different results according to their applied techniques. In this paper, we applied AlexNet technique to ...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
Read Source

Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation

Verified

Md. Asadur Rahman, Farzana Khanam, Mohiuddin Ahmad, Mohammad Shorif Uddin

Journal: Brain InformaticsYear: 2020Citations: 71

This paper proposes a novel feature selection method utilizing Rényi min-entropy-based algorithm for achieving a highly efficient brain-computer interface (BCI). Usually, wavelet packet transformation (WPT) is extensively used for feature extraction from electro-encephalogram (EEG) signals. For the ...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
Read Source

Emotion recognition from EEG-based relative power spectral topography using convolutional neural network

Verified

Md. Ashib Rahman, Anika Anjum, M. Haque Milu, Farzana Khanam et al.

Journal: ArrayYear: 2021Citations: 65

Emotion recognition, a challenging computational issue, finds interesting applications in diverse fields. Usually, feature-based machine-learning methods have been used for emotion recognition. However, these conventional shallow machine learning methods often find unsatisfactory results as there is...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
Read Source

Chaotic Lightweight Cryptosystem for Image Encryption

Verified

Jannatul Ferdush, Mahbuba Begum, Mohammad Shorif Uddin

Journal: Advances in MultimediaYear: 2021Citations: 60

Data transmission over the Internet and the personal network has been risen day by day due to the advancement of multimedia technology. Hence, it is today’s prime concern to protect the data from unauthorized access and encrypt the multimedia element as they are stored on the web servers and transmi...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
Read Source

MedAi: A Smartwatch-Based Application Framework for the Prediction of Common Diseases Using Machine Learning

Verified

Shinthi Tasnim Himi, Natasha Tanzila Monalisa, Md Whaiduzzaman, Alistair Barros et al.

Journal: IEEE AccessYear: 2023Citations: 55

Health information technology is one of today’s fastest-growing and most powerful technologies. This technology is used predominantly for predicting illness and obtaining medications quickly because visiting a doctor and performing pathological tests can be time-consuming and expensive. This has pro...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
Read Source

An in-depth exploration of automated jackfruit disease recognition

Verified

Md. Tarek Habib, Md. Jueal Mia, Mohammad Shorif Uddin, Farruk Ahmed

Journal: Journal of King Saud University - Computer and Information SciencesYear: 2020Citations: 55

Bangladesh extensively depends on agriculture for the economy as well as food security owing to its huge population. In this connection, it becomes very important to efficiently grow plants and increase their yields. Quantity and quality of fruits can be degraded having attacked by various diseases....

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
Read Source
PreviousPage 1 of 2+Next