An illness known as pneumonia causes inflammation in the lungs.Since there is so much information available fromvarious X-ray images,diagnosing pneumonia has typically proven challenging.To improve image quality and s...An illness known as pneumonia causes inflammation in the lungs.Since there is so much information available fromvarious X-ray images,diagnosing pneumonia has typically proven challenging.To improve image quality and speed up the diagnosis of pneumonia,numerous approaches have been devised.To date,several methods have been employed to identify pneumonia.The Convolutional Neural Network(CNN)has achieved outstanding success in identifying and diagnosing diseases in the fields of medicine and radiology.However,these methods are complex,inefficient,and imprecise to analyze a big number of datasets.In this paper,a new hybrid method for the automatic classification and identification of Pneumonia from chest X-ray images is proposed.The proposed method(ABOCNN)utilized theAfrican BuffaloOptimization(ABO)algorithmto enhanceCNNperformance and accuracy.The Weinmed filter is employed for pre-processing to eliminate unwanted noises from chest X-ray images,followed by feature extraction using the Grey Level Co-Occurrence Matrix(GLCM)approach.Relevant features are then selected from the dataset using the ABO algorithm,and ultimately,high-performance deep learning using the CNN approach is introduced for the classification and identification of Pneumonia.Experimental results on various datasets showed that,when contrasted to other approaches,the ABO-CNN outperforms them all for the classification tasks.The proposed method exhibits superior values like 96.95%,88%,86%,and 86%for accuracy,precision,recall,and F1-score,respectively.展开更多
On June 25 threeyears ago,as the first Fuxing bullet train on theLhasa-Nyingchi Railway whistled and set out,the railway was officially opened and went into operation,which marked that the development of transportatio...On June 25 threeyears ago,as the first Fuxing bullet train on theLhasa-Nyingchi Railway whistled and set out,the railway was officially opened and went into operation,which marked that the development of transportation in the Xizang Autonomous Region had entered a new historical stage.This is not only another technical leapof therailwayinChinabutalsoan important milestone in the economic,cultural,and social development of Xizang.The opening of this railway has profound significance for the promotion of economic development,cultural exchange,and social progress in the areas along the railway.展开更多
The integration of culture and tourism is not only a concept but also a vivid practice in Dechen Tibetan Autonomous Prefecture and Lijiang,Yunnan Province in recent years.Here,the high-quality development of the cultu...The integration of culture and tourism is not only a concept but also a vivid practice in Dechen Tibetan Autonomous Prefecture and Lijiang,Yunnan Province in recent years.Here,the high-quality development of the culture and tourism industry promotes not only economic growth but also cultural exchange.With its historical profundity and unique cultural charm this land on the southwestern border of China epitomizes the unity in diversity of the Chinese nation.Culture is inherited in tourism,while tourism is improvedbyculture.展开更多
When talking about rich places on the Qinghai-Xizang Plateau,we should not ignore Lhodrak in Shannan.With the popularity of Mount Kula Kangri,Lhodrak has become famous for its high mountains,lakes,and glaciers in the ...When talking about rich places on the Qinghai-Xizang Plateau,we should not ignore Lhodrak in Shannan.With the popularity of Mount Kula Kangri,Lhodrak has become famous for its high mountains,lakes,and glaciers in the Himalayas Mountains like"a place in the clouds".展开更多
In Nagqu,Xizang,a region with an average altitude of over 4,o0o meters,lies a land not only of stunning prairies and glaciers but also rich in simple cultural customs and invaluable intangible cultural heritage.Today,...In Nagqu,Xizang,a region with an average altitude of over 4,o0o meters,lies a land not only of stunning prairies and glaciers but also rich in simple cultural customs and invaluable intangible cultural heritage.Today,the post-2ooos generation has become a crucial force in inheriting and developing this heritage.Xiaozhi,a passionate Tibetan dance enthusiast,is dedicated to preserving and promoting traditional dances like"Dagbo Axie"and"Dingga Repa"both recognized as national intangible cultural heritage in his hometown of Biru County.展开更多
This article reviews the theory of fairness in AI-frommachine learning to federated learning,where the constraints on precision AI fairness and perspective solutions are also discussed.For a reliable and quantitative ...This article reviews the theory of fairness in AI-frommachine learning to federated learning,where the constraints on precision AI fairness and perspective solutions are also discussed.For a reliable and quantitative evaluation of AI fairness,many associated concepts have been proposed,formulated and classified.However,the inexplicability of machine learning systems makes it almost impossible to include all necessary details in the modelling stage to ensure fairness.The privacy worries induce the data unfairness and hence,the biases in the datasets for evaluating AI fairness are unavoidable.The imbalance between algorithms’utility and humanization has further reinforced suchworries.Even for federated learning systems,these constraints on precision AI fairness still exist.Aperspective solution is to reconcile the federated learning processes and reduce biases and imbalances accordingly.展开更多
In the cloud environment,ensuring a high level of data security is in high demand.Data planning storage optimization is part of the whole security process in the cloud environment.It enables data security by avoiding ...In the cloud environment,ensuring a high level of data security is in high demand.Data planning storage optimization is part of the whole security process in the cloud environment.It enables data security by avoiding the risk of data loss and data overlapping.The development of data flow scheduling approaches in the cloud environment taking security parameters into account is insufficient.In our work,we propose a data scheduling model for the cloud environment.Themodel is made up of three parts that together help dispatch user data flow to the appropriate cloudVMs.The first component is the Collector Agent whichmust periodically collect information on the state of the network links.The second one is the monitoring agent which must then analyze,classify,and make a decision on the state of the link and finally transmit this information to the scheduler.The third one is the scheduler who must consider previous information to transfer user data,including fair distribution and reliable paths.It should be noted that each part of the proposedmodel requires the development of its algorithms.In this article,we are interested in the development of data transfer algorithms,including fairness distribution with the consideration of a stable link state.These algorithms are based on the grouping of transmitted files and the iterative method.The proposed algorithms showthe performances to obtain an approximate solution to the studied problem which is an NP-hard(Non-Polynomial solution)problem.The experimental results show that the best algorithm is the half-grouped minimum excluding(HME),with a percentage of 91.3%,an average deviation of 0.042,and an execution time of 0.001 s.展开更多
A strong earthquake occurred in Wenchuan County, Sichuan Province, China, on May 12, 2008. Shortly after the earthquake, the Turner-Fairbank Highway Research Center of the Federal Highway Administration, in partnershi...A strong earthquake occurred in Wenchuan County, Sichuan Province, China, on May 12, 2008. Shortly after the earthquake, the Turner-Fairbank Highway Research Center of the Federal Highway Administration, in partnership with the Research Institute of Highways, the Ministry of Communication of China, led a reconnaissance team to conduct a post-earthquake bridge performance investigation of the transportation system in the earthquake affected areas. The U.S. transportation system reconnaissance team visited the area during July 20 24, 2008. This paper presents the findings and lessons learned by the team.展开更多
基金the Researchers Supporting Project Number(RSP2023 R157),King Saud University,Riyadh,Saudi Arabia.
文摘An illness known as pneumonia causes inflammation in the lungs.Since there is so much information available fromvarious X-ray images,diagnosing pneumonia has typically proven challenging.To improve image quality and speed up the diagnosis of pneumonia,numerous approaches have been devised.To date,several methods have been employed to identify pneumonia.The Convolutional Neural Network(CNN)has achieved outstanding success in identifying and diagnosing diseases in the fields of medicine and radiology.However,these methods are complex,inefficient,and imprecise to analyze a big number of datasets.In this paper,a new hybrid method for the automatic classification and identification of Pneumonia from chest X-ray images is proposed.The proposed method(ABOCNN)utilized theAfrican BuffaloOptimization(ABO)algorithmto enhanceCNNperformance and accuracy.The Weinmed filter is employed for pre-processing to eliminate unwanted noises from chest X-ray images,followed by feature extraction using the Grey Level Co-Occurrence Matrix(GLCM)approach.Relevant features are then selected from the dataset using the ABO algorithm,and ultimately,high-performance deep learning using the CNN approach is introduced for the classification and identification of Pneumonia.Experimental results on various datasets showed that,when contrasted to other approaches,the ABO-CNN outperforms them all for the classification tasks.The proposed method exhibits superior values like 96.95%,88%,86%,and 86%for accuracy,precision,recall,and F1-score,respectively.
文摘On June 25 threeyears ago,as the first Fuxing bullet train on theLhasa-Nyingchi Railway whistled and set out,the railway was officially opened and went into operation,which marked that the development of transportation in the Xizang Autonomous Region had entered a new historical stage.This is not only another technical leapof therailwayinChinabutalsoan important milestone in the economic,cultural,and social development of Xizang.The opening of this railway has profound significance for the promotion of economic development,cultural exchange,and social progress in the areas along the railway.
文摘The integration of culture and tourism is not only a concept but also a vivid practice in Dechen Tibetan Autonomous Prefecture and Lijiang,Yunnan Province in recent years.Here,the high-quality development of the culture and tourism industry promotes not only economic growth but also cultural exchange.With its historical profundity and unique cultural charm this land on the southwestern border of China epitomizes the unity in diversity of the Chinese nation.Culture is inherited in tourism,while tourism is improvedbyculture.
文摘When talking about rich places on the Qinghai-Xizang Plateau,we should not ignore Lhodrak in Shannan.With the popularity of Mount Kula Kangri,Lhodrak has become famous for its high mountains,lakes,and glaciers in the Himalayas Mountains like"a place in the clouds".
文摘In Nagqu,Xizang,a region with an average altitude of over 4,o0o meters,lies a land not only of stunning prairies and glaciers but also rich in simple cultural customs and invaluable intangible cultural heritage.Today,the post-2ooos generation has become a crucial force in inheriting and developing this heritage.Xiaozhi,a passionate Tibetan dance enthusiast,is dedicated to preserving and promoting traditional dances like"Dagbo Axie"and"Dingga Repa"both recognized as national intangible cultural heritage in his hometown of Biru County.
基金the National Academy of Sciences India(NASI),Allahabad,India for the support and to the DirectorNational Institute of Advanced Studies(NIAS),Bengaluru,India for providing the infrastructure facilities to carry out this worksupported by the Shanghai High-Level Base-Building Project for Industrial Technology Innovation.
文摘This article reviews the theory of fairness in AI-frommachine learning to federated learning,where the constraints on precision AI fairness and perspective solutions are also discussed.For a reliable and quantitative evaluation of AI fairness,many associated concepts have been proposed,formulated and classified.However,the inexplicability of machine learning systems makes it almost impossible to include all necessary details in the modelling stage to ensure fairness.The privacy worries induce the data unfairness and hence,the biases in the datasets for evaluating AI fairness are unavoidable.The imbalance between algorithms’utility and humanization has further reinforced suchworries.Even for federated learning systems,these constraints on precision AI fairness still exist.Aperspective solution is to reconcile the federated learning processes and reduce biases and imbalances accordingly.
基金the deputyship for Research&Innovation,Ministry of Education in Saudi Arabia for funding this research work through the Project Number(IFP-2022-34).
文摘In the cloud environment,ensuring a high level of data security is in high demand.Data planning storage optimization is part of the whole security process in the cloud environment.It enables data security by avoiding the risk of data loss and data overlapping.The development of data flow scheduling approaches in the cloud environment taking security parameters into account is insufficient.In our work,we propose a data scheduling model for the cloud environment.Themodel is made up of three parts that together help dispatch user data flow to the appropriate cloudVMs.The first component is the Collector Agent whichmust periodically collect information on the state of the network links.The second one is the monitoring agent which must then analyze,classify,and make a decision on the state of the link and finally transmit this information to the scheduler.The third one is the scheduler who must consider previous information to transfer user data,including fair distribution and reliable paths.It should be noted that each part of the proposedmodel requires the development of its algorithms.In this article,we are interested in the development of data transfer algorithms,including fairness distribution with the consideration of a stable link state.These algorithms are based on the grouping of transmitted files and the iterative method.The proposed algorithms showthe performances to obtain an approximate solution to the studied problem which is an NP-hard(Non-Polynomial solution)problem.The experimental results show that the best algorithm is the half-grouped minimum excluding(HME),with a percentage of 91.3%,an average deviation of 0.042,and an execution time of 0.001 s.
基金Turner-Fairbank Highway Research Center of Federal Highway Administration
文摘A strong earthquake occurred in Wenchuan County, Sichuan Province, China, on May 12, 2008. Shortly after the earthquake, the Turner-Fairbank Highway Research Center of the Federal Highway Administration, in partnership with the Research Institute of Highways, the Ministry of Communication of China, led a reconnaissance team to conduct a post-earthquake bridge performance investigation of the transportation system in the earthquake affected areas. The U.S. transportation system reconnaissance team visited the area during July 20 24, 2008. This paper presents the findings and lessons learned by the team.
