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 “"Md Shahin Ali"”

16+ results

An enhanced technique of skin cancer classification using deep convolutional neural network with transfer learning models

Verified

Md Shahin Ali, Md Sipon Miah, Jahurul Haque, Mahbubur Rahman et al.

Journal: Machine Learning with ApplicationsYear: 2021Citations: 401

Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is getting increased speedily. There exist some researches for the computerized analysis of malignancy in skin lesion images. ...

Health SciencesMedicineOncologyOpen Access
Read Source

Brain tumor detection in MR image using superpixels, principal component analysis and template based K-means clustering algorithm

Verified

Md Khairul Islam, Md Shahin Ali, Md Sipon Miah, Mahbubur Rahman et al.

Journal: Machine Learning with ApplicationsYear: 2021Citations: 182

In the present era, human brain tumor is the extremist dangerous and devil to the human being that leads to certain death. Furthermore, the brain tumor arises more complexity of patients life with time. As a result, early detection of tumors is most crucial to save and prolong the patient’s lifetime...

Life SciencesNeuroscienceNeurologyOpen Access
Read Source

Deep transfer learning approaches for Monkeypox disease diagnosis

Verified

Md Manjurul Ahsan, Muhammad Ramiz Uddin, Md Shahin Ali, Md Khairul Islam et al.

Journal: Expert Systems with ApplicationsYear: 2023Citations: 126

Monkeypox has become a significant global challenge as the number of cases increases daily. Those infected with the disease often display various skin symptoms and can spread the infection through contamination. Recently, Machine Learning (ML) has shown potential in image-based diagnoses, such as de...

Life SciencesImmunology and MicrobiologyVirologyOpen Access
Read Source

UV/TiO2 photodegradation of metronidazole, ciprofloxacin and sulfamethoxazole in aqueous solution: An optimization and kinetic study

Verified

Surya Akter, Md. Shahinoor Islam, Md. Humayun Kabir, Md. Aftab Ali Shaikh et al.

Journal: Arabian Journal of ChemistryYear: 2022Citations: 110

Emerging pharmaceutical ingredients (APIs) like sulfamethoxazole (SMX), metronidazole (MNZ) and ciprofloxacin (CIP) are biopersistent and toxic to the environment and public health. In this study, UV/TiO2 photodegradation was applied in the degradation of SMX, MNZ and CIP individually and in a mixtu...

Physical SciencesEnvironmental SciencePollutionOpen Access
Read Source

Enhanced photocatalytic activity of Cu and Ni-doped ZnO nanostructures: A comparative study of methyl orange dye degradation in aqueous solution

Verified

Md. Rashid Al-Mamun, Md. Zaveed Iqbal Rokon, Md Abdur Rahim, Md. Ikram Hossain et al.

Journal: HeliyonYear: 2023Citations: 92

Heterogeneous photocatalysis has been considered one of the most effective and efficient techniques to remove organic contaminants from wastewater. The present work was designed to examine the photocatalytic performance of metal (Cu and Ni) doped ZnO nanocomposites in methyl orange (MO) dye degradat...

Physical SciencesMaterials ScienceMaterials ChemistryOpen Access
Read Source

Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review

Verified

Md. Mokhlesur Rahman, Kamal Chandra Paul, Md. Amjad Hossain, G. G. Md. Nawaz Ali et al.

Journal: IEEE AccessYear: 2021Citations: 92

The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and non-pharmaceutical interventions of lockdown and confinement implemented citywide, regionally or nationally are affectin...

Physical SciencesEnvironmental ScienceGlobal and Planetary ChangeOpen Access
Read Source

Brain tumor detection and classification in MRI using hybrid ViT and GRU model with explainable AI in Southern Bangladesh

Verified

Md. Mahfuz Ahmed, Md. Maruf Hossain, Md. Rakibul Islam, Md Shahin Ali et al.

Journal: Scientific ReportsYear: 2024Citations: 86

Brain tumor, a leading cause of uncontrolled cell growth in the central nervous system, presents substantial challenges in medical diagnosis and treatment. Early and accurate detection is essential for effective intervention. This study aims to enhance the detection and classification of brain tumor...

Life SciencesNeuroscienceNeurologyOpen Access
Read Source

Cardiovascular disease identification using a hybrid CNN-LSTM model with explainable AI

Verified

Md. Maruf Hossain, Md Shahin Ali, Md Mahfuz Ahmed, Md. Rakibul Hasan Rakib et al.

Journal: Informatics in Medicine UnlockedYear: 2023Citations: 84

Cardiovascular disease (CVD) is a leading cause of death worldwide, with millions dying each year. The identification and early diagnosis of CVD are critical in preventing adverse health outcomes. Hence, this study proposes a hybrid deep learning (DL) model that combines a convolutional neural netwo...

Health SciencesHealth ProfessionsHealth Information ManagementOpen Access
Read Source

State-of-the-art in solar water heating (SWH) systems for sustainable solar energy utilization: A comprehensive review

Verified

Md. Rashid Al-Mamun, Hridoy Roy, Md. Shahinoor Islam, Md. Romzan Ali et al.

Journal: Solar EnergyYear: 2023Citations: 77

The solar water-heating (SWH) system is one of the most convenient applications of solar energy, which is considered an available, economical, and environmentally friendly energy source to fulfill the energy demands of the world. In this review, existing SWH systems and design aspects of major compo...

Physical SciencesEnergyRenewable Energy, Sustainability and the EnvironmentOpen Access
Read Source

Enhancing breast cancer segmentation and classification: An Ensemble Deep Convolutional Neural Network and U-net approach on ultrasound images

Verified

Md. Rakibul Islam, Md Mahbubur Rahman, Md Shahin Ali, Abdullah Al Nomaan Nafi et al.

Journal: Machine Learning with ApplicationsYear: 2024Citations: 74

Breast cancer is a condition where the irregular growth of breast cells occurs uncontrollably, leading to the formation of tumors. It poses a significant threat to women’s lives globally, emphasizing the need for enhanced methods of detecting and categorizing the disease. In this work, we propose an...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
Read Source

Monkeypox Diagnosis With Interpretable Deep Learning

Verified

Md Manjurul Ahsan, Md Shahin Ali, Md. Mehedi Hassan, Tareque Abu Abdullah et al.

Journal: IEEE AccessYear: 2023Citations: 71

As the world gradually recovers from the impacts of COVID-19, the recent global spread of Monkeypox disease has raised concerns about another potential pandemic, highlighting the urgency of early detection and intervention to curb its transmission. Deep Learning (DL) based disease prediction present...

Life SciencesImmunology and MicrobiologyVirologyOpen Access
Read Source

Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model

Verified

S M Mahim, Md Shahin Ali, Md Olid Hasan, Abdullah Al Nomaan Nafi et al.

Journal: IEEE AccessYear: 2024Citations: 68

Alzheimer’s Disease (AD) is a significant cause of dementia worldwide, and its progression from mild to severe affects an individual’s ability to perform daily activities independently. The accurate and early diagnosis of AD is crucial for effective clinical intervention. However, interpreting AD fr...

Life SciencesNeuroscienceNeurologyOpen Access
Read Source

Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks

Verified

Md Imran Hasan, Md Shahin Ali, Md Habibur Rahman, Md Khairul Islam

Journal: Journal of Healthcare EngineeringYear: 2022Citations: 65

Colon cancer is a momentous reason for illness and death in people. The conclusive diagnosis of colon cancer is made through histological examination. Convolutional neural networks are being used to analyze colon cancer via digital image processing with the introduction of whole-slide imaging. Accur...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
Read Source

An ensemble classification approach for cervical cancer prediction using behavioral risk factors

Verified

Md Shahin Ali, Md. Maruf Hossain, Moutushi Akter Kona, Kazi Rubaya Nowrin et al.

Journal: Healthcare AnalyticsYear: 2024Citations: 62

Cervical cancer is a significant public health concern among females worldwide. Despite being preventable, it remains a leading cause of mortality. Early detection is crucial for successful treatment and improved survival rates. This study proposes an ensemble Machine Learning (ML) classifier for ef...

Health SciencesMedicineEpidemiologyOpen Access
Read Source

Synthesis, characterizations, and RSM analysis of Citrus macroptera peel derived biochar for textile dye treatment

Verified

Hridoy Roy, Tonima Rahman Prantika, Mahmudul Hassan Riyad, Samrita Paul et al.

Journal: South African Journal of Chemical EngineeringYear: 2022Citations: 59

Textile wastewater discharging to the surface water body is a great concern because it contains different pollutants such as dyes, organics, surfactants, inorganic salt and heavy metals. An effective low-cost treatment technology has not been developed yet. The objective of this study was to develop...

Physical SciencesEnvironmental ScienceWater Science and TechnologyOpen Access
Read Source
PreviousPage 1 of 2+Next