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COVID-19 Detection from Chest X-Ray Images Using Convolutional Neural Network Approach

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Journal of Computer and Communications 2023年第5期11卷 29-41页

作者： Md. Harun Or Rashid Muzakkir Hossain Minhaz ananya sarker Must. Asma Yasmin Md. Golam An Nihal Department of Computer Science and Engineering Bangladesh Army University of Engineering & Technology (BAUET) Qadirabad Cantonment Natore Bangladesh

COVID-19 is a respiratory illness caused by the SARS-CoV-2 virus, first identified in 2019. The primary mode of transmission is through respiratory droplets when an infected person coughs or sneezes. Symptoms can range from mild to severe, and timely diagnosis is crucial for effective treatment. Chest X-Ray imaging is one diagnostic tool used for COVID-19, and a Convolutional Neural Network (CNN) is a popular technique for image classification. In this study, we proposed a CNN-based approach for detecting COVID-19 in chest X-Ray images. The model was trained on a dataset containing both COVID-19 positive and negative cases and evaluated on a separate test dataset to measure its accuracy. Our results indicated that the CNN approach could accurately detect COVID-19 in chest X-Ray images, with an overall accuracy of 97%. This approach could potentially serve as an early diagnostic tool to reduce the spread of the virus.

关键词： COVID-19 Chest X-Ray Images CNN Virus Accuracy

Towards Mining Public Opinion: An Attention-Based Long Short Term Memory Network Using Transfer Learning

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Journal of Computer and Communications 2022年第6期10卷 112-131页

作者： G. M. Sakhawat Hossain Md. Harun Or Rashid Md. Rafiqul Islam ananya sarker Must. Asma Yasmin Department of Computer Science and Engineering Rangamati Science and Technology University Rangamati Bangladesh Department of Computer Science and Engineering Bangladesh Army University of Engineering and Technology Qadirabad Bangla-desh

The Internet provides a large number of tools and resources, such as social media sites, online newsgroups, blogs, electronic forums, virtual communities, and online travel sites, for consumers to express their views or opinions regarding various issues. These opinions can help organizations like tourism to improve their products and services for their consumers. Opinion mining refers to a process of identifying emotions by applying Natural Language Processing (NLP) techniques to a pool of texts. This paper mainly focuses on mining public opinion from the hotel reviews domain. To do so, we proposed a novel technique called the Attention-Based Long Short Term Memory (Attention-LSTM) Network using a transfer learning approach. We empirically analyzed several machine learning and deep learning methods and observed our proposed technique provided an adequate performance for mining public opinion in the hotel reviews domain.

关键词： Opinion Mining Deep Learning Word2Vec Attention-LSTM Transfer Learning

Neuropsychological detection and prediction using machine learning algorithms:a comprehensive review

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Intelligent Medicine 2024年第3期4卷 177-187页

作者： Manan Shah ananya Shandilya Kirtan Patel Manya Mehta Jay Sanghavi Aum Pandya Department of Chemical Engineering School of Energy TechnologyPandit Deendayal Energy UniversityGandhinagarGujaratIndia Walt Whitman High School BethesdaMarylandUSA St.Kabir School AhmedabadGujaratIndia Anand Niketan School AhmedabadGujaratIndia Department of Computer Engineering School of TechnologyPandit Deendayal Energy UniversityGandhinagarGujaratIndia

Neuropsychological disorders(e.g.,dementia,epilepsy,brain cancer,autism,stroke,and multiple sclerosis)ad-versely affect the quality of life of patients and their families;moreover,in some instances,they may lead to loss of *** primary aim was to evaluate and compare the use of machine learning in neuropsychological research in contrast to traditional approaches such as through case *** was achieved by referring to earlier studies on this *** article presented the use of support vector machines(SVMs)and convolu-tional neural networks(CNN)for detecting and predicting neuropsychological diseases,such as dementia and Alzheimer’s *** in using these models include data availability,quality,variability,model inter-pretability,and *** findings have demonstrated the potential of these models in this *** has been shown that SVM models are robust and efficient in processing and classifying data,particularly in neuroimaging applications,such as magnetic resonance imaging(MRI).CNNs have excelled in handling visual input;thus,they have been used in neuroimaging segregation,recognition,and classification,with applications in brain tumor segmentation,radiation therapy,robotic neurosurgery,and disease *** research will explore asymmetric differences among left-and right-handed patients,incorporate longitudinal studies,and utilize larger sample *** use of machine learning models has the potential to revolutionize the diagnosis and treatment of neuropsychological diseases,allowing for early detection and *** approach could offer significant advantages to healthcare,such as cost-effective diagnosis and treatment,to help save lives and preserve the quality of life of patients.

关键词： Machine learning Neuropsychological Support vector machine Convolution neural network

A randomized controlled trial on triamcinolone versus saline impregnated merocel post endoscopic sinus surgery:Our experience in a tertiary care centre

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World Journal of Otorhinolaryngology-Head and Neck Surgery 2024年第3期10卷 193-199页

作者： ananya Sood Khushboo Goel SSanjeev Bhagat Dimple Sahni Dinesh Kumar Sharma Vishav Yadav Department of Otorhinolaryngology and Head&Neck Surgery Government Medical CollegePatialaPunjabIndia

Purpose:To assess the potential benefit of impregnating Merocel(a non-absorbable nasal dressing)with a topical steroid solution,for use as a direct and slow local delivery system of steroids after sinus surgery to improve postoperative wound ***:In this randomized controlled trial,40 patients with bilateral chronic rhinosinusitis with nasal polyposis were subjected to functional endoscopic sinus *** the completion of the surgery,Merocel packs were inserted in the bilateral nasal cavities and infiltrated with 4 mL triamcinolone(40 mg/mL)in one nasal cavity(treatment group)and 4 mL normal saline in the other(control group).Nasal packs were removed on the third postoperative day and postoperative healing assessment was done on postoperative Weeks 1,2,4,and *** findings were noted as per Lund Kennedy(LKES)and perioperative sinus endoscopy(POSE)scores and compared on both ***:Significant(P<0.05)improvement was noted in Lund Kennedy score for crusting and polyp at Week 12,for edema at Week 1,and nasal discharge at Weeks 1 and 12,but there was no significant improvement in scarring at any ***,the difference between the treatment and control arms was statistically significant at all postoperative visits except at Week ***,there was a significant improvement in POSE scores at Weeks 1,2,and 12 but not at Week ***:This study positively concludes that the nasal cavity packed with drug-soaked packs had less scarring and edema in the postoperative period and the overall wound healing was much better as compared to saline-soaked packs.

关键词： chronic rhinosinusitis functional endoscopic sinus surgery Lund Kennedy merocele perioperative sinus endoscopy triamcinolone

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第三空间学习与文化中心

现代装饰 2024年第5期 108-115页

作者： Edmund Sumner(摄影) Ankit Jain(摄影) ananya Singhal(摄影) 范嘉苑(编译) 不详

英印建筑工作室Saar在拉贾斯坦邦的乌代浦为非盈利组织Dharohar打造了一个新的学习与文化中心.第三空间作为一个集创意、好奇心与社区文化于一体之地,是一个适合全年龄段的学习与发现中心,为教育项目、非正式学习、社交和表演艺术提供... 详细信息

英印建筑工作室Saar在拉贾斯坦邦的乌代浦为非盈利组织Dharohar打造了一个新的学习与文化中心.第三空间作为一个集创意、好奇心与社区文化于一体之地,是一个适合全年龄段的学习与发现中心,为教育项目、非正式学习、社交和表演艺术提供世界一流的设施.

关键词：拉贾斯坦邦第三空间非盈利组织非正式学习表演艺术年龄段好奇心世界一流

Code Based Analysis for Object-Oriented Systems

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Journal of Computer Science & Technology 2006年第6期21卷 965-972页

作者： Swapan Bhattacharya ananya Kanjilal Department of Computer Science and Engineering Jadavpur University Kolkata-700032 India Department of Information Technology B. P. Poddar Institute of Management and Technology Kolkata-700052 India

Tile basic features of object-oriented software makes it difficult to apply traditional testing methods in objectoriented systems. Control Flow Graph （CFG） is a well-known model used for identification of independent paths in procedural software. This paper highlights the problem of constructing CFG in object-oriented systems and proposes a new model named Extended Control Flow Graph （ECFG） for code based analysis of Object-Oriented （OO） software. ECFG is a layered CFG where nodes refer to methods rather than statements. A new metrics Extended Cyclomatic Complexity （E-CC） is developed which is analogous to McCabe＇s Cyclomatic Complexity （CC） and refers to the number of independent execution paths within the OO software. The different ways in which CFG＇s of individual methods are connected in an ECFG are presented and formulas for E-CC for these different cases are proposed. Finally we have considered an example in Java and based on its ECFG, applied these cases to arrive at the E-CC of the total system as well as proposed a methodology for calculating the basis set, i.e., the set of independent paths for the OO system that will help in creation of test cases for code testing.

关键词： object-oriented testing extended control flow graph extended cyclomatic complexity test paths graph-based testing

Comparison of Different Approaches of Finding the Positive Definite Metric in Pseudo-Hermitian Theories

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Communications in Theoretical Physics 2013年第5期59卷 533-539页

作者： ananya Ghatak Bhabani Prasad Mandal Department of Physics Banaras Hindu University

To develop a unitary quantum theory with probabilistic description for pseudo-Hermitian systems one needs to consider the theories in a different Hilbert space endowed with a positive definite metric operator. There are different approaches to find such metric operators. We compare the different approaches of calculating positive definite metric operators in pseudo-Hermitian theories with the help of several explicit examples in non-relativistic as well as in relativistic situations. Exceptional points and spontaneous symmetry breaking are also discussed in these models.

关键词： pseudo-Hermitian quantum theory positive definite metric operator relativistic non-Hermitian system P T symmetry quantum mechanics modified Hilbert space

Design of soft magnetic materials

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npj Computational Materials 2022年第1期8卷 17-26页

作者： ananya Renuka Balakrishna Richard D.James Aerospace and Mechanical Engineering University of Southern CaliforniaLos AngelesCA90089USA Aerospace and Engineering Mechanics University of MinnesotaMinneapolisMN55455USA

We present a strategy for the design of ferromagnetic materials with exceptionally low magnetic hysteresis,quantified by *** this strategy,we use a micromagnetic algorithm that we have developed in previous research and which has been validated by its success in solving the“Permalloy Problem”—the well-known difficulty of predicting the composition 78.5%Ni of the lowest coercivity in the Fe–Ni system—and by the insight it provides into the“Coercivity Paradox”of ***,the design strategy predicts that cubic materials with large saturation magnetization ms and large magnetocrystalline anisotropy constant κ_(1) will have low coercivity on the order of that of Permalloy,as long as the magnetostriction constantsλ_(100),λ_(111)are tuned to special *** explicit prediction for a cubic material with low coercivity is the dimensionless number(c_(11)−c_(12))λ_(100)^(2)/(2_(κ_(1)))=81 for〈100〉easy *** results would seem to have broad potential application,especially to magnetic materials of interest in energy research.

关键词： magnetic cubic exceptional

Controlling Properties of HSLA Line Pipe Steels for Oil and Gas Applications

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Journal of Iron and Steel Research International 2011年第S1期18卷 701-706页

作者： Mukhopadhyay ananya Polo Andrea Danieli Automation SpA via Stringher 433042 ButtrioUdineItaly

DANIELI has recently implemented its Coil Quality Estimator (DANIELI-CQETM) system to the Hot Strip Mill of United Metallurgical Company (OMK) at Vyksa,*** system is developed for the purpose of real time assessment and control of mechanical properties for hot rolled *** properties such as strength,toughness,ductility and hardness are predicted over the entire length of a strip while it is *** property estimation is based on the final microstructure as predicted from a group of interconnected physically based metallurgical models,supplemented by Artificial Neural *** CQE system is used for prediction and control of properties of HSLA line pipe grades steel and other *** system performance,is judged by accuracy and reliability of prediction,has been compared with the physical material testing data from the *** results are found to be *** is found useful for generation of test certificate of coil,quality assurance,process control,product development,and customer claim *** is used for resource optimization for production,and other operational improvements such as reduction of *** present paper shares the results of CQE performance for prediction of HSLA line pipe grade steels.

关键词： line pipe steels CQE mechanical property ANN process control