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Detection of Different Stages of Alzheimer’s Disease Using CNN Classifier

Computers, Materials & Continua 2023年第9期76卷 3933-3948页

作者： S M Hasan Mahmud Md Mamun Ali Mohammad Fahim Shahriar Fahad ahmed Al-Zahrani kawsar ahmed Dip Nandi Francis M.Bui Department of Computer Science American International University-Bangladesh(AIUB)Dhaka1229Bangladesh Centre for Advanced Machine Learning and Applications(CAMLAs) DhakaBangladesh Department of Software Engineering Daffodil International UniversityDhakaBangladesh Department of Computer Engineering Umm Al-Qura UniversityMecca24381Saudi Arabia Department of ECE University of SaskatchewanSaskatoonSK S7N5A9Canada Group of Biophotomatiχ Department of ICTMBSTUSantoshTangail1902Bangladesh

Alzheimer’s disease(AD)is a neurodevelopmental impairment that results in a person’s behavior,thinking,and memory *** common symptoms ofADare losingmemory and early *** addition to these,there are several serious impacts ***,the impact ofADcanbemitigatedby early-stagedetection though it cannot be cured ***-stage detection is the most challenging task for controlling and mitigating the impact of *** study proposes a predictive model to detect AD in the initial phase based on machine learning and a deep learning approach to address the *** build a predictive model,open-source data was collected where five stages of images of AD were available as Cognitive Normal(CN),Early Mild Cognitive Impairment(EMCI),Mild Cognitive Impairment(MCI),Late Mild Cognitive Impairment(LMCI),and *** stage of AD is considered as a class,and then the dataset was divided into three parts binary class,three class,and five *** this research,we applied different preprocessing steps with augmentation techniques to efficiently *** integrates a random oversampling technique to handle the imbalance problem from target classes,mitigating the model overfitting and *** three machine learning classifiers,such as random forest(RF),K-Nearest neighbor(KNN),and support vector machine(SVM),and two deep learning methods,such as convolutional neuronal network(CNN)and artificial neural network(ANN)were applied on these *** analyzing the performance of the used models and the datasets,it is found that CNN with binary class outperformed 88.20%*** result of the study indicates that the model is highly potential to detect AD in the initial phase.

关键词： Alzheimer’s disease early detection convolutional neural network data augmentation random oversampling machine learning

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Shadow Extraction and Elimination of Moving Vehicles for Tracking Vehicles

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Computers, Materials & Continua 2023年第11期77卷 2009-2030页

作者： Kalpesh Jadav Vishal Sorathiya Walid El-Shafai Torki Altameem Moustafa HAly Vipul Vekariya kawsar ahmed Francis MBui Department of Electronics&Communication Engineering Faculty of Engineering and TechnologyParul Institute of Engineering and TechnologyParul UniversityVadodaraGujarat391760India Department Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Computer Science Department Community CollegeKing Saud UniversityRiyadh11362Saudi Arabia Electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt Department of Computer Engineering Faculty of Engineering and TechnologyParul Institute of Engineering and TechnologyParul UniversityVadodaraGujarat391760India Department of Electrical and Computer Engineering University of Saskatchewan57 Campus DriveSaskatoonSK S7N5A9Canada

Shadow extraction and elimination is essential for intelligent transportation systems(ITS)in vehicle tracking *** shadow is the source of error for vehicle detection,which causes misclassification of vehicles and a high false alarm rate in the research of vehicle counting,vehicle detection,vehicle tracking,and *** of the existing research is on shadow extraction of moving vehicles in high intensity and on standard datasets,but the process of extracting shadows from moving vehicles in low light of real scenes is *** real scenes of vehicles dataset are generated by self on the Vadodara–Mumbai highway during periods of poor illumination for shadow extraction of moving vehicles to address the above *** paper offers a robust shadow extraction of moving vehicles and its elimination for vehicle *** method is distributed into two phases:In the first phase,we extract foreground regions using a mixture of Gaussian model,and then in the second phase,with the help of the Gamma correction,intensity ratio,negative transformation,and a combination of Gaussian filters,we locate and remove the shadow region from the foreground *** to the outcomes proposed method with outcomes of an existing method,the suggested method achieves an average true negative rate of above 90%,a shadow detection rate SDR(η%),and a shadow discrimination rate SDR(ξ%)of 80%.Hence,the suggested method is more appropriate for moving shadow detection in real scenes.

关键词： Change illuminations ImageJ software intelligent traffic systems mixture of Gaussian model National Institute of Health vehicle tracking

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Single polarization photonic crystal fiber filter based on surface plasmon resonance

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Frontiers of Optoelectronics 2019年第2期12卷 157-164页

作者： Md. Nazmul HOSSEN Md. FERDOUS kawsar ahmed Md. Abdul KHALEK Sujan CHAKMA Bikash Kumar PAUL Department of Information and Communication Technology(ICT) Mawlana Bhashani Science and Technology University(MBSTU)SantoshTangail 1902Bangladesh Group of Biophotomatix SantoshTangail 1902Bagladesh Department of Software Enineering(SWE) Daffodil International UniversityShukrabadDhaka 1207Bangladesh

In this paper,we propose a photonic crystal fiber(PCF)polarization filter based on surface plasmon resonance(SPR)*** nanowire is used as the active plasmonic *** into silica core becomes coupled to gold nanowire stimulating SPR. It soplits light into two orthogonal(x-polarization and y-polarization)polarization in the second order of surface plasmon *** investigations of the proposed PCF filter is finite element method(FEM).By position,the performance of the propsed PCF filter is inspected *** of any polarization can be obtained by properly placing the metal *** maximum cnfinement loss of x-polarization is 692.25dB/cm and y-polarization is 1.13dB/cm offers at resonance position 1.42μ*** a confinement loss difference between two orthogonal polarizations makes PCF a talented candidate to filter ***,the recommended PCF structure is useful for polarization device.

关键词： photonic crystal fiber (PCF) surface plasmon resonance (SPR) perfectly match layer polarization filter

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Design of a Porous Cored Hexagonal Photonic Crystal Fiber Based Optical Sensor With High Relative Sensitivity for Lower Operating Wavelength

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Photonic Sensors 2017年第1期7卷 55-65页

作者： Shuvo SEN Sawrab CHOWDHURY kawsar ahmed Sayed ASADUZZAMAN Department of Information and Communication Technology Mawlana Bhashani Science and Technology UniversitySantosh Tangail-1902 Bangladesh Group of Biophotomatix Bangladesh

In this article, highly sensitive and low confinement loss enriching micro structured photonic crystal fiber （PCF） has been suggested as an optical sensor. The proposed PCF is porous cored hexagonal （P-HPCF） where cladding contains five layers with circular air holes and core vicinity is formed by two layered elliptical air holes. Two fundamental propagation characteristics such as the relative sensitivity and confinement loss of the proposed P-HPCF have been numerically scrutinized by the full vectorial finite element method （FEM） simulation procedure. The optimized values are modified with different geometrical parameters like diameters of circular or elliptical air holes, pitches of the core, and cladding region over a spacious assortment of wavelength from 0.8 ktm to 1.8 -m. All pretending results exhibit that the relative sensitivity is enlarged according to decrement of wavelength of the transmission band （O＋E＋S＋C＋L＋U）. In addition, all useable liquids reveal the maximum sensitivity of 57.00%, 57.18%, and 57.27% for n=1.33, 1.354, and 1.366 respectively by lower band. Moreover, effective area, nonlinear coefficient, frequency, propagation constant, total electric energy, total magnetic energy, and wave number in free space of the proposed P-HPCF have been reported recently.

关键词： Optical sensor relative sensitivity porous core PCF confinement loss transmission band effective area

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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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Design and Optimization of Photonic Crystal Fiber Based Sensor for Gas Condensate and Air Pollution Monitoring

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Photonic Sensors 2017年第3期7卷 234-245页

作者： Md. Ibadul ISLAM kawsar ahmed Shuvo SEN Sawrab CHOWDHURY Bikash Kumar PAUL Md. Shadidul ISLAM Mohammad Badrul Alam MIAH Sayed ASADUZZAMAN Department of Information and Communication Technology (ICT) Mawlana Bhashani Science and Technology University Santosh Tangail 1902 Bangladesh Group of Bio-photomatix Tangail 1902 Bangladesh Department of Software Engineering (SWE) Daffodil International University Sukrabad Dhaka 1207 Bangladesh

In this paper, a hexagonal shape photonic crystal fiber （H-PCF） has been proposed as a gas sensor of which both micro-structured core and cladding are organized by circular air cavities. The reported H-PCF has a single layer circular core which is surrounded by a five-layer hexagonal cladding. The overall pretending process of the H-PCF is completed by using a full vectorial finite element method （FEM） with perfectly matched layer （PML） boundary condition. All geometrical parameters like diameters and pitches of both core and cladding regions have fluctuated with an optimized structure. After completing the numerical analysis, it is clearly visualized that the proposed H-PCF exhibits high sensitivity with low confinement loss. The investigated results reveal the relative sensitivity of 56.65% and confinement loss of 2.31×10^-5 dB/m at the 1.33%tm wavelength. Moreover, effective area, nonlinearity, and V-parameter of the suggested PCF are also briefly described.

关键词： Relative sensitivity confinement loss gas sensor effective area nonlinearity and photonic crystal fiber

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Alcohol Sensing Over O＋E＋S＋C＋L＋U Transmission Band Based on Porous Cored Octagonal Photonic Crystal Fiber

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Photonic Sensors 2017年第2期7卷 123-130页

作者： Bikash Kumar PAUL Md. Shadidul ISLAM kawsar ahmed Sayed ASADUZZAMAN Department of Information and Communication Technology Mawlana Bhashani Science and Technology University Santosh Tangail-1902 Bangladesh Group of Bio-Photomatriz Tangail-1902 Bangladesh Department of Software Engineering Daffodil International University Sukrabad Dhaka Bangladesh

A micro structure porous cored octagonal photonic crystal fiber （P-OPCF） has been proposed to sense aqueous analysts （alcohol series） over a wavelength range of 0.80 μm to 2.0 μm. By implementing a full vectorial finite element method （FEM）, the numerical simulation on the proposed O-PCF has been analyzed. Numerical investigation shows that high sensitivity can be gained by changing the structural parameters. The obtained result shows the sensitivities of 66.78%, 67.66%, 68.34%, 68.72%, and 69.09%, and the confinement losses of 2.42×10^-10 dB/m, 3.28x×10^-11 dB/m, 1.21 ×10^-6 dB/m, 4.79×10^-10 dB/m, and 4.99×10^-9 dB/m at the 1.33 ktm wavelength for methanol, ethanol, propanol, butanol, and pentanol, respectively can satisfy the condition of much legibility to install an optical system. The effects of the varying core and cladding diameters, pitch distance, operating wavelength, and effective refractive index are also reported here. It reflects that a significant sensitivity and low confinement loss can be achieved by the proposed P-OPCE The proposed P-OPCF also covers the wavelength band （O＋E＋S＋C＋L＋U）. The investigation also exhibits that the sensitivity increases when the wavelength increases like SO-band〈SE-band 〈SS-band 〈 SC-band 〈SL-band 〈SU-band. This research observation has much pellucidity which has remarkable impact on the field of optical fiber sensor.

关键词： Porous cored OPCF alcohol sensor sensitivity confinement loss transmission band

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Benzene Shape Photonic Crystal Fiber Based Plasma Sensor： Design and Analysis

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Photonic Sensors 2018年第3期8卷 263-269页

作者： Md. Toriqul ISLAM Md. Golam MOCTADER kawsar ahmed Sawrab CHOWDHURY Department of Physics Mawlana Bhashani Science and Technology University Santosh Tangail-1902 Bangladesh Group of Bio-photomatix Tangail-1902 Bangladesh Department of Information and Communication Technology Mawlana Bhashani Science and Technology UniversitySantosh Tangail-1902 Bangladesh

A novel benzene core photonic crystal fiber （BC-PCF） is proposed for plasma sensing applications. The proposed BC-PCF parameters have been tuned to gain high sensitivity, high numerical aperture （NA）, and low confinement loss, and modality over the extensive variety of 0.7 μm to 1.9μm wavelength. The explored results for the ideal structure have exhibited the high sensitivity up to 77.84% and negligible confinement loss of 7.9×10^-3dB/m at 1.3μm wavelength. The V-barometer remains under 2.405 over the whole working wavelength. So the proposed BC-PCF is a single mode fiber, which advances the long partition correspondence applications. Furthermore, high numerical aperture （NA） makes the fiber potential candidate in medical imaging applications. The plan of the sensor is to find out the creative potential outcomes in sensing applications.

关键词： Optical sensor relative sensitivity numerical aperture confinement loss benzene core photonic crystal fiber (BC-PCF)

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Design and Optimization of Photonic Crystal Fiber for Liquid Sensing Applications

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Photonic Sensors 2016年第3期6卷 279-288页

作者： Md. Faizul Huq ARIF kawsar ahmed Sayed ASADUZZAMAN Md. Abul Kalam AZAD Department of Information and Communication Technology (ICT) Mawlana Bhashani Science and TechnologyUniversity (MBSTU) Tangail-1902 Bangladesh Department of Material and Metallurgical Engineering (MME) Bangladesh University of Engineering and TechnologyUniversity (BUET) Dkaka-l O00 Bangladesh

This paper proposes a hexagonal photonic crystal fiber （H-PCF） structure with high relative sensitivity for liquid sensing; in which both core and cladding are microstructures. Numerical investigation is carried out by employing the full vectorial finite element method （FEM）. The analysis has been done in four stages of the proposed structure. The investigation shows that the proposed structure achieves higher relative sensitivity by increasing the diameter of the innermost ring air holes in the cladding. Moreover, placing a single channel instead of using a group of tiny channels increases the relative sensitivity effectively. Investigating the effects of different parameters, the optimized structure shows significantly higher relative sensitivity with a low confinement loss.

关键词： Photonic crystal fiber (PCF) liquid sensor microstructure core sensitivity confinement loss

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Effect of Low Temperature on Chlorophyll and Carotenoid Content on the Seedlings of Some Selected Boro Rice Varieties

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American Journal of Plant Sciences 2020年第2期11卷 125-136页

作者： Md. Omar Kayess Md. Mahmudul Hassan Md. Nurhasan kawsar ahmed Department of Genetics and Plant Breeding Hajee Mohammad Danesh Science and Technology University Dinajpur Bangladesh Upazila Agriculture Officer Department of Agricultural Extension Ministry of Agriculture Chirirbandar Dinajpur Bangladesh Agriculture Extension Officer Department of Agriculture Extension Ministry of Agriculture Kaharole Dinajpur Bangladesh Agriculture Extension Officer Department of Agriculture Extension Ministry of Agriculture Biral Dinajpur Bangladesh

A study was conducted to screen out the low-temperature tolerant Boro rice seedlings from November 2012 to January 2013 for facing the upcoming rice production challenge in Northwest Bangladesh. The experimental time was characterized by a prevailing low environmental temperature of below 15°C. Five rice cultivars (V1: BR-2;V2: BR-16;V3: Pariza;V4: Minicate;V5: BRRI dhan 50) were selected for the study. The leaf proline, chlorophyll content and total carotenoid content were investigated. The V2 (BR-16) seedling synthesized the higher leaf proline (1.228 g·g-1) at a low temperature than those of other tested cultivars. Again, the highest amount of chlorophyll-a (3.957 g·g-1), chlorophyll-b (2.118 g·g-1), chlorophyll-a/b ratio (3.6754 mg·g-1) and total chlorophyll (5.051 g·g-1) was measured in V2 (BR-16). The maximum total carotenoid (1.213 g·g-1) was also observed in V2. In this experiment, the V2 (BR-16) showed comparatively better potentiality to survive at low temperatures (below 15°C) than other varieties.

关键词： Low Temperature BORO Rice Seedling Proline Chlorophyll Carotenoid Content

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