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Results for “"Mohammad Shorif Uddin"”

31+ results

An Efficient Watermarking Approach Based on LL and HH Edges of DWT–SVD

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Fauzia Yasmeen, Mohammad Shorif Uddin

Journal: SN Computer ScienceYear: 2021Citations: 54

Digital watermarking is playing a vital role in the improvement of authentication, security, and copyright protection in today’s digital transformation. The performance of this technique is shown to be impressive around the globe. Text, audio, video, and image data are acted as watermarks in the dig...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Speckle noise reduction and segmentation of kidney regions from ultrasound image

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Tanzila Rahman, Mohammad Shorif Uddin

Year: 2013Citations: 54

Ultrasound imaging plays a crucial roles in medical field to estimate kidney size, position, appearance and helps to detect structural abnormalities as well as the presence of cysts, stones, cancer, congenital anomalies, swelling, blockage of urine flow etc. But presence of speckle noise and low con...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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Lung Cancer Detection Using CT Image Based on 3D Convolutional Neural Network

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Tasnim Ahmed, Mst. Shahnaj Parvin, Mohammad Reduanul Haque, Mohammad Shorif Uddin

Journal: Journal of Computer and CommunicationsYear: 2020Citations: 49

Early detection of lung nodule is of great importance for the successful diagnosis and treatment of lung cancer. Many researchers have tried with diverse methods, such as thresholding, computer-aided diagnosis system, pattern recognition technique, backpropagation algorithm, etc. Recently, convoluti...

Life SciencesNeuroscienceNeurologyOpen Access
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Analysis of Digital Image Watermarking Techniques through Hybrid Methods

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Mahbuba Begum, Mohammad Shorif Uddin

Journal: Advances in MultimediaYear: 2020Citations: 48

Digital image watermarking is an attractive research area since it protects the multimedia data from unauthorized access. For designing an efficient and robust digital image watermarking system, the trade-off among imperceptibility, robustness, capacity, and security must be maintained. Various stud...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A squeeze and excitation ResNeXt-based deep learning model for Bangla handwritten compound character recognition

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Mohammad Meraj Khan, Mohammad Shorif Uddin, Mohammad Zavid Parvez, Lutfur Nahar

Journal: Journal of King Saud University - Computer and Information SciencesYear: 2021Citations: 42

In today’s digital era, the recognition of handwritten documents is highly demanding due to the widespread applications. Bangla is one of the most used languages in the world, which consists of 50 basic alphabets. Many compound characters exist in Bangla, which is the combination of two or more basi...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Analyzing the public sentiment on COVID-19 vaccination in social media: Bangladesh context

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

Journal: ArrayYear: 2022Citations: 40

Since December 2019, the world has been fighting against the COVID-19 pandemic. This epidemic has revealed a bitter truth that though humans have advanced to unprecedented heights in the last few decades in terms of technology, they are lagging far behind in the fields of medical science and health ...

Social SciencesHealthVaccine Coverage and HesitancyOpen Access
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XAI-FusionNet: Diabetic foot ulcer detection based on multi-scale feature fusion with explainable artificial intelligence

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S. K. Biswas, Rafid Mostafiz, Mohammad Shorif Uddin, Bikash Kumar Paul

Journal: HeliyonYear: 2024Citations: 39

Diabetic foot ulcer (DFU) poses a significant threat to individuals affected by diabetes, often leading to limb amputation. Early detection of DFU can greatly improve the chances of survival for diabetic patients. This work introduces FusionNet, a novel multi-scale feature fusion network designed to...

Health SciencesMedicineEndocrinology, Diabetes and MetabolismOpen Access
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Image-based soft drink type classification and dietary assessment system using deep convolutional neural network with transfer learning

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Rubaiya Hafiz, Mohammad Reduanul Haque, Aniruddha Rakshit, Mohammad Shorif Uddin

Journal: Journal of King Saud University - Computer and Information SciencesYear: 2020Citations: 38

Nowadays, people are taking soft drinks (carbonated nonalcoholic beverages) at an increasing rate. Health experts around the world have cautioned from time to time that these drinks lead to weight gain, raise the risk of non-communicable diseases, and so on. To develop consciousness among people, th...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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An extensive dataset for successful recognition of fresh and rotten fruits

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Nusrat Sultana, Musfika Jahan, Mohammad Shorif Uddin

Journal: Data in BriefYear: 2022Citations: 37

Detection of rotten fruits is very crucial for agricultural productions and fruit processing as well as packaging industries. Usually, the detection of fresh and rotten fruits is done manually which is an ineffective and lengthy process for farmers. For this reason, the development of a new classifi...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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An extensive sunflower dataset representation for successful identification and classification of sunflower diseases

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Umme Sara, Aditya Rajbongshi, Rashiduzzaman Shakil, Bonna Akter et al.

Journal: Data in BriefYear: 2022Citations: 36

Sunflowers are agricultural seed crops that can be used for essential edible oils and ornamental purposes. This cash crop is primarily cultivated in North and South America. Sunflower crops are prone to various diseases, insects, and nematodes, resulting in a wide range of production losses. Digital...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Feature-based image stitching algorithms

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Moushumi Zaman Bonny, Mohammad Shorif Uddin

Year: 2016Citations: 35

The method of joining images to make a panorama is known as image stitching. It is an enthusiastic research area in image processing and computer vision but still a challenging problem for panoramic images. A good number of researches had been carried out to develop different algorithms for image st...

Physical SciencesComputer ScienceComputer Vision and Pattern Recognition
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A comprehensive dragon fruit image dataset for detecting the maturity and quality grading of dragon fruit

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Tania Khatun, Md. Asraful Sharker Nirob, Prayma Bishshash, Morium Akter et al.

Journal: Data in BriefYear: 2023Citations: 34

Dragon fruit, often referred to as pitaya, is a tropical fruit with various types, including both white-fleshed and red-fleshed varieties. Its distinctive appearance is complemented by a range of potential health advantages. These include its abundance of nutrients and antioxidants, which contribute...

Life SciencesAgricultural and Biological SciencesFood ScienceOpen Access
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MRI-based brain tumor detection using the fusion of histogram oriented gradients and neural features

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Rafid Mostafiz, Mohammad Shorif Uddin, Nur-A- Alam, Md. Mahmodul Hasan et al.

Journal: Evolutionary IntelligenceYear: 2021Citations: 33
Life SciencesNeuroscienceNeurology
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A dataset for successful recognition of cucumber diseases

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Nusrat Sultana, Sumaita Binte Shorif, Morium Akter, Mohammad Shorif Uddin

Journal: Data in BriefYear: 2023Citations: 32

Plant disease is a common impediment to the productivity of the world's agricultural production, which adversely affects the quality and yield of crops and causes heavy economic losses to farmers. The cucumber is a frequently grown creeping vine plant that has few calories but is high in water and s...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Modeling and classification of voluntary and imagery movements for brain–computer interface from fNIR and EEG signals through convolutional neural network

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Md. Asadur Rahman, Mohammad Shorif Uddin, Mohiuddin Ahmad

Journal: Health Information Science and SystemsYear: 2019Citations: 28

Practical brain-computer interface (BCI) demands the learning-based adaptive model that can handle diverse problems. To implement a BCI, usually functional near-infrared spectroscopy (fNIR) is used for measuring functional changes in brain oxygenation and electroencephalography (EEG) for evaluating ...

Life SciencesNeuroscienceCognitive NeuroscienceOpen Access
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