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Steel Surface Defect Detection Using Learnable memory Vision Transformer

Computers, materials & Continua 2025年第1期82卷 499-520页

作者： Syed Tasnimul Karim Ayon Farhan md.Siraj Jia Uddin Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of AI and Big Data Endicott CollegeWoosong UniversityDaejeon34606Republic of Korea

This study investigates the application of Learnable memory Vision Transformers(LmViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel *** awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and *** techniques mitigated overfitting,stabilized training,and improved generalization *** LmViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LmViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,*** findings highlight the LmViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature *** additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LmViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial *** instance,the LmViT model successfully identified fine scratches and minor surface irregularities that CNNs often *** study not only demonstrates LmViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are *** research m

关键词： Learnable memory Vision Transformer(LmViT) Convolutional Neural Networks(CNN) metal surface defect detection deep learning,computer vision image classification learnable memory gradient clipping label smoothing t-SNE visualization

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Ru/NimnB spherical cluster pillar for highly proficient green hydrogen electrocatalyst at high current density

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Journal of Energy Chemistry 2025年第1期100卷 397-408页

作者： md Ahasan Habib Shusen Lin mehedi Hasan Joni Sumiya Akter Dristy Rutuja mandavkar Jae-Hun Jeong Jihoon Lee Department of Electronic Engineering College of Electronics and Information Kwangwoon University

Advanced OER/HER electrocatalytic alternatives are crucial for the wide adaptation of green hydrogen ***,Ru/NimnB spherical cluster pillar （SCP）,denoted as Ru/NimnB,is synthesized using a combination of electro-deposition and hydrothermal *** investigation of Ru doping in the NimnB matrix revealed significant improvements in electrocatalytic *** Ru/NimnB SCPs demonstrate superior OER/HER activity with low overpotentials of 150 and 103 mV at 50mA/cm2in 1 m KOH,making them highly competitive with state-of-the-art ***,the Ru/NimnB SCPs exhibit a low 2-E cell voltage of 2.80 V at ultra-high current density of 2,000 m A/cm2in 1 m KOH,outperforming the standard benchmark electrodes of RuO2||Pt/C,thereby positioning Ru/NimnB as one of the best bifunctional *** SCPs exhibit exceptional high-current characteristics,stability and corrosion resistance,as evidenced by continuous operation at 1,000 mA/cm2high-current density for over 150 h in 6 m KOH at elevated temperatures under harsh industrial *** a small amount of Ru incorporation significantly enhances the electrocatalytic performances of NimnB,attributed to increased active sites and improved intrinsic properties such as conductivity,adsorption/desorption capability and reaction ***,Ru/NimnB SCPs present a promising bi-functional electrode concept for efficient green H2production.

关键词： Potassium hydroxide

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mechanical and thermodynamical stability of BiVO4 polymorphs using first-principles study

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Chinese Physics B 2017年第3期26卷 395-403页

作者： A K m Farid UI Islam md Nurul Huda Liton H m Tariqul Islam md al Helal.md Kamruzzaman Department of Computer Science and Engineering Begum Rokeya University Rangpur Rangpur-5400 Bangladesh Department of Physics Begum Rokeya University Rangpur Rangpur-5400 Bangladesh Department of Chemistry Begum Rokeya University Rangpur Rangpur-5400 Bangladesh Department of Physics and materials Science and Center of Super-Diamond and Advanced Films (COSDAF) City University of Hong Kong Hong Kong SAR China

First principles calculations of structural, electronic, mechanical, and thermodynamic properties of different poly- morphs of BiVO4 are performed using Bender-type plane/wave ultrasoft pseudopotentials within the generalized gradient approximation （GGA） in the flame of density functional theory （DFT）. The calculated structural and electronic properties are consistent with the previous theoretical and experimental results. The electronic structures reveal that m-BiVO4, op- BiVO4, and st-BiVO4 have indirect band gaps, on the other hand, zt-BiVO4 has a direct band gap. From the DOS and mulliken＇s charge analysis, it is observed that only m-BiVO4 has 6s2 Bi lone pair. Bond population analysis indicates that st-BiVO4 shows a more ionic nature and a similar result is obtained from the elastic properties. From the elastic prop- erties, it is observed that st-BiVO4 is more mechanically stable than the others, st-BiVO4 is more ductile and useful for high electro-optical and electro-mechanical coupling devices. Our calculated thermodynamic properties confirm the similar characteristics found from electronic and elastic properties, m-BiVO4 is useful as photocatalysts, solid state electrolyte, and electrode and other polymorphs are applicable in electronic device fabrications.

关键词： BiVO4 crystal structure lone pair mechanical stability

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Improving Prediction Efficiency of machine Learning models for Cardiovascular Disease in IoST-Based Systems through Hyperparameter Optimization

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Computers, materials & Continua 2024年第9期80卷 3485-3506页

作者： Tajim md.Niamat Ullah Akhund Waleed m.al-Nuwaiser Department of Computer Science and Engineering(CSE) Daffodil International UniversityDhaka1216Bangladesh Graduate School of Science and Engineering Saga UniversitySaga8408502Japan Computer Science Department College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11623Saudi Arabia

This study explores the impact of hyperparameter optimization on machine learning models for predicting cardiovascular disease using data from an IoST(Internet of Sensing Things)*** distinct machine learning approaches were implemented and systematically evaluated before and after hyperparameter *** improvements were observed across various models,with SVm and Neural Networks consistently showing enhanced performance metrics such as F1-Score,recall,and *** study underscores the critical role of tailored hyperparameter tuning in optimizing these models,revealing diverse outcomes among *** Trees and Random Forests exhibited stable performance throughout the *** enhancing accuracy,hyperparameter optimization also led to increased execution *** representations and comprehensive results support the findings,confirming the hypothesis that optimizing parameters can effectively enhance predictive capabilities in cardiovascular *** research contributes to advancing the understanding and application of machine learning in healthcare,particularly in improving predictive accuracy for cardiovascular disease management and intervention strategies.

关键词： Internet of sensing things(IoST) machine learning hyperparameter optimization cardiovascular disease prediction execution time analysis performance analysis wilcoxon signed-rank test

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Community ecology and spatial distribution of trees in a tropical wet evergreen forest in Kaptai national park in Chittagong Hill Tracts, Bangladesh

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Journal of Forestry Research 2014年第2期25卷 311-318页

作者： S. m. Feroz md Rabiul al.m Prokash Das Abdullah al.mamun Forestry and Wood Technology Discipline Khulna Universtity

We investigated the floristic composition, woody species diversity and spatial distribution of trees in a tropical wet evergreen forest in Kaptai national park in Chittagong Hill Tracks, Bangladesh. We recorded 25 families, 37 genera, 40 species and 1771 woody individuals in a 0.09 ha plot. Euphorbiaceae and moraceae were the most species- rich families, and Castanopsis, Ficus and Terminaliawere the most species-rich genera. Bursera serrata Wall. ex Colebr. was the dominant species in terms of highest importance value （13%）. Trema orientalis （L.） B1 was typically a light demanding species as it appeared in the top can- opy with only one individual having the seventh highest IV, but had no regeneration. The expected maximum number of species （Smax） was 140, indicating that many species may invade the forest as the Sm~ is greater than the recorded total number of species. The nature of the disappear- ance and appearance of species in the present forest reflects instability of floristic composition. The values of Shannon＇s index H＇ and Pielou＇s index J＇（evenness） were 3.36 bit and 0.63, respectively. These values show moderately high species diversity as compared to other subtropical forests in the tropics. In addition, a sample area of 200 m2 in this forest would be sufficient for measuring the diversity indices H＂ and ,/＇, whereas the trend of J＇may indicate the rate of equality of individuals among the different species decreased with increasing area. The distribu- tion pattern for the total stand was completely random. However, the dominant species showed aggregate distribution for small areas, but random distribution for large areas. The spatial association between species showed that the strongest positive interspecific association occurred between Streblus asper Lour. and Castanea indica Roxh. （09 = 0.51）. As a whole, most species were weakly associated with each other, of which 58% species associations were completely negative. The result of cluster analysis s

关键词： Chittagong Hill Tracts floristic composition spatial distribution of trees tropical wet evergreen forest woody species diversity

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Source identification, contamination status and health risk assessment of heavy metals from road dusts in Dhaka, Bangladesh

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Journal of Environmental Sciences 2022年第11期34卷 159-174页

作者： Aklima Nargis Ahsan Habib md Nazrul Islam Kai Chen md Shafiqul Islam Sarker A N m al-Razee Wenbin Liu Guorui Liu minggang Cai Coastal and Ocean management Institute&State Key laboratory of marine Environmental Science Xiamen UniversityXiamen 361005China Department of Chemistry University of DhakaDhaka 1000Bangladesh Central Chemical Laboratory Department of Narcotics ControlMinistry of Home AffairsDhaka 1204Bangladesh Department of Analytical Chemistry&Environmental Science Training Institute for Chemical IndustriesPolashNarsingdi 1611Bangladesh State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China

In this study, concentrations of Cr, mn, Ni, Cu, Zn, Cd and Pb were determined in road dusts collected from different locations in Dhaka to assess source, contamination status and health risk. Energy-dispersive X-ray fluorescence spectroscopy and energy-dispersive X-ray spectroscopy were used to determine Cr, mn, Ni, Cu, Zn, Cd and Pb and their mean concentrations were 162.27 ± 29.46, 721.18 ± 180.14, 35.65 ± 12.55, 104.56 ± 128.33, 515.32 ± 321.90,BDL, and 342.82 ± 591.20 mg/kg, respectively. Among the heavy metals, highest concentrations of Cu, Zn and Pb were found at urban sites-7(municipal waste dumping) and 8(medical waste incineration). Highest concentration of Cr followed by Cu and Zn was found at site-5(Tejgaon, urban). Principal component analysis revealed that anthropogenic activities are the potential sources for Cr, Ni, Cu, Zn and Pb while earth crust for mn. Pollution index and pollution load index results suggested that all the sites were contaminated and/or degraded by Cr, Cu, Zn and Pb except sites-9(urban), 10(sub-urban), 11(rural) while sites-7 and 8(urban) were extremely degraded. For noncarcinogenic health risk, hazard quotient values for dermal were higher compared to that of inhalation/ingestion. Though hazard index values were less than 1 at all the sites, these were at least one order of magnitude higher for children group than that of adult group, thus the children group may face more noncarcinogenic health risk at sites -7 and 8. Values of incremental lifetime cancer risk were from 10to 10showed no carcinogenic health risk by road dusts contaminated with the heavy metals.

关键词： Heavy metal Road dust Dhaka Principal component analysis Pollution status Health risk assessment

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Enhancement of Growth and Grain Yield of Rice in Nutrient Deficient Soils by Rice Probiotic Bacteria

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Rice science 2017年第5期24卷 264-273页

作者： md mohibul al.m KHAN Effi HAQUE Narayan Chandra PAUL md Abdul KHalEQUE Saleh m. S. al-GARNI mahfuzur RAHmAN md Tofazzal ISLAm Department of Biotechnology Bangabandhu Sheikh Mujibur Rahman Agricultural University Gazipur 1706 Bangladesh Department of Biochemistry & microbiology North South University Dhaka 1229 Bangladesh Department of Rural Development Administration Bioenergy Crop Research Institute Muan 534833 Republic of Korea Department of Biological Sciences King Abdulaziz University Jeddah 2589 Kingdom of Saudi Arabia West Virginia University Morgantown West Virginia 26505 USA

Plant associated bacteria are promising alternatives to chemical fertilizers for plant growth and yield improvement in an eco-friendly *** this study,rice associated bacteria were isolated and assessed for mineral phosphate solubilization and indole-3-acetic acid(IAA) production activity in *** promising strains,which were tentatively identified as phylotaxon Pseudochrobactrum sp.(BRRh-1),Burkholderia sp.(BRRh-2),Burkholderia sp.(BRRh-3),Burkholderia sp.(BRRh-4),Pseudomonas aeruginosa(BRRh-5 and BRRh-6) based on their 16 S rRNA gene phylogeny,exhibited significant phosphate solubilizing activity in National Botanical Research Institute phosphate growth medium,and BRRh-4 displayed the highest phosphate solubilizing activity,followed by *** p H of the culture broth declined,resulting in increase of growth rate of bacteria at p H 7,which might be due to organic acid secretion by the *** presence of L-tryptophan,five isolates synthesized IAA and the maximum IAA was produced by BRRh-2,followed by *** of two most efficient phosphate solubilizing isolates BRRh-4 and BRRh-5 by root dipping(colonization) of seedling and spraying at the flowering stage significantly enhanced the growth and grain yield of rice variety BRRI ***,application of both strains with 50% of recommended nitrogen,phosphorus and potassium fertilizers produced equivalent or higher grain yield of rice compared to the control grown with full recommended fertilizer doses,which suggests that these strains may have the potential to be used as bioinoculants for sustainable rice production.

关键词： indole-3-acetic acid mineral phosphate solubilization rice plant growth promotion plant associated bacterium grain yield fertilizer

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Early-Stage Cervical Cancerous Cell Detection from Cervix Images Using YOLOv5

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Computers, materials & Continua 2023年第2期74卷 3727-3741页

作者： md Zahid Hasan Ontor md mamun ali Kawsar Ahmed Francis m.Bui Fahad Ahmed al-Zahrani S.m.Hasan mahmud Sami Azam Department of Software Engineering(SWE) Daffodil International University(DIU)SukrabadDhaka1207Bangladesh Group of Biophotomatiχ Department of Information and Communication TechnologyMawlana Bhashani Science and Technology UniversitySantoshTangail1902Bangladesh Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonS7N5A9SKCanada Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Department of Computer Science American International University-Bangladesh(AIUB)KuratoliDhaka1229Bangladesh College of Engineering IT and EnvironmentCharles Darwin UniversityCasuarina0909NTAustralia

Cervical Cancer(CC)is a rapidly growing disease among women throughout the world,especially in developed and developing *** this many women have ***,it is curable if it can be diagnosed and detected at an early stage and taken proper *** the high cost,awareness,highly equipped diagnosis environment,and availability of screening tests is a major barrier to participating in screening or clinical test diagnoses to detect CC at an early *** solve this issue,the study focuses on building a deep learning-based automated system to diagnose CC in the early stage using cervix cell *** system is designed using the YOLOv5(You Only Look Once Version 5)model,which is a deep learning *** build the model,cervical cancer pap-smear test image datasets were collected from an open-source repository and these were labeled and *** the YOLOv5 models were applied to the labeled dataset to train the *** versions of the YOLOv5 model were applied in this study to find the best fit model for building the automated system to diagnose CC at an early *** of the model’s variations performed *** model can effectively detect cervical cancerous cell,according to the findings of the *** the medical field,our study will be quite *** can be a good option for radiologists and help them make the best selections possible.

关键词： Cervical cancer pap-smear deep learning cancerous cell YOLOv5 model

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Phytochemical analysis and antioxidant profile of methanolic extract of seed, pulp and peel of Baccaurea ramiflora Lour.

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Asian Pacific Journal of Tropical.medicine 2018年第7期11卷 443-450页

作者： md.Sahab Uddin md.Sarwar Hossain Abdullah al.mamun Devesh Tewari md.Asaduzzaman md.Siddiqul Islam mohamed m.Abdel-Daim Department of Pharmacy Southeast University Department of Pharmaceutical Sciences Faculty of Technology Kumaun University Department of Pharmacology Suez Canal University

Objective: To analyze the phytochemical constituents responsible for the plausible antioxidant effect of methanolic extract of the seed, pulp and peel of Baccaurea ramiflora Lour. methods: Fresh seed, pulp, and peel of Baccaurea ramiflora fruits were extracted with methanol(mEBRse, mEBRpu, mEBRpe) and evaluated by phytochemical analysis for their content of innumerable metabolites(primary and secondary) viz. carbohydrates, alkaloids, glycosides, tannins, phenols, terpenoids, flavonoids, proteins, and fixed oils. The antioxidant efficacy was assessed through different assay methods viz. 2,2-diphenyl-1-picrylhydrazyl(DPPH) free radical scavenging activity, total antioxidant capacity(TAC) and reducing power capacity(RPC). Estimation of total phenolic content(TPC), and total flavonoid content(TFC) was also done to confirm the presence of these phytochemicals. Results: It was revealed from the phytochemical analysis of mEBRse that alkaloids, glycosides, carbohydrates, phenols, and flavonoids were present, while that of mEBRpu showed the existence of carbohydrates, proteins, alkaloids, glycosides, phenols, saponins, flavonoids, and fixed oils. Presence of carbohydrates, alkaloids, phenols, tannins, flavonoids, and terpenoids were found in the mEBRpe. A significant antioxidant activity was revealed by the mEBRpu [EC_(50):(27.612 ± 1.375) μg/mL], compared to mEBRpe, and mEBRse in DPPH assay. The ranking order for RPC was mEBRpu > mEBRpe > mEBRse respectively. The EC_(50) value of TAC of the mEBRpu, mEBRpe, and mEBRse were(25.107 ±0.744) μg/mL,(241.127 ± 7.463) μg/mL and(372.364 ± 11.030) μg/mL, respectively. Quantity of TPC and TFC were the highest in the mEBRpu(124.360 ± 2.078 mg GAE/g and 107.527 ±1.900 mg QRE/g extract) rather than mEBRpe and mEBRse extracts. Conclusions: This study suggests that mEBRpu has a significantly higher antioxidant property than mEBRpe and mEBRse. These extracts might be advantageous in prevention or decelerating the progress of different disea

关键词： Oxidative stress Baccaurea ramiflora Phytochemical analysis Antioxidant activity

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Annual pattern of zooplankton communities and their environmental response in a subtropical.maritime channel system in the northern Bay of Bengal, Bangladesh

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Acta Oceanologica Sinica 2018年第8期37卷 65-73页

作者： ABDULLAH al.mamun al.m md.Didarul AKHTAR Aysha XU Henglong ISLAm md.Shafiqul mUSTAFA KAmal Abu Hena UDDIN m muslem al.m md.Wahidul Laboratory of microbial Ecology Ocean University of China Faculty of marine Sciences and Fisheries University of Chittagong Department of Animal Science and Fishery Faculty of Agriculture and Food Sciences Universiti Putra Malaysia Campus Bintulu

Zooplankton plays an important role in aquatic food webs by fluxing of energy from primary producer to subsequent trophic levels in the food chain. The annual pattern of zooplankton communities and potential environmental drivers were studied in the Kohelia channel, Bangladesh from summer 2014 to spring *** were collected using net at a depth of 1 m. A total of 32 species belonged to 18 orders, 27 families and 15 taxonomic groups were identified. Of these species, 22 distributed in all four seasons of which 8 were dominant and highly contributing to the total communities. Species number peaked in summer next to winter and fall in spring while maximum abundance was in summer and minimum in spring. multivariate analyses showed that there was a clear annual pattern in the zooplankton communities. Species diversity and evenness peaked in spring but fall in autumn while the high value of species richness was found in winter. Biological-environmental best matching（BIO-ENV） analyses conformed that community pattern of zooplankton was mainly driven by transparency salinity, and temperature individually or combined with water nutrients. These results demonstrate that annual pattern of the zooplankton community shaped by channel environmental factors in subtropical channel ecosystems, thus might be used for community-based subtropical coastal water bioassessment.

关键词： zooplankton trophic levels subtropical channel community structure multivariate approach

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