检索结果-南通市图书馆

A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction

Computers, Materials & Continua 2022年第10期73卷 295-310页

作者： mohammed Gollapalli Atta-ur-Rahman Dhiaa Musleh Nehad Ibrahim Muhammad Adnan Khan Sagheer Abbas Ayesha Atta Muhammad Aftab Khan Mehwash Farooqui Tahir Iqbal mohammed Salih Ahmed mohammed imran bahmed Dakheel Almoqbil Majd Nabeel Abdullah Omer Department of Computer Information System(CIS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science(CS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Pattern Recognition and Machine Learning Lab Department of Software EngineeringGachon UniversityInchonKorea Department of Computer Science National College of Business Administration and EconomicsLahorePunjab54000Pakistan Department of Computer Science Government College University(GCU)LahorePunjab54000Pakistan Department of Computer Engineering(CE) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia College of Business Administration Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Networks and Communications(NC) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various *** as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects *** congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the *** address this overwhelming problem,in this article,a cloudbased intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy *** aim of the study is to reduce the delay in the queues,the vehicles experience at different road junctions across the *** proposed model also intended to help the automated traffic control systems by minimizing the congestion particularly in a smart city environment where observational data is obtained from various implanted Internet of Things(IoT)sensors across the *** due preprocessing over the cloud server,the proposed approach makes use of this data by incorporating the neuro-fuzzy ***,it possesses a high level of accuracy by means of intelligent decision making with minimum error *** results reveal the accuracy of the proposed model as 98.72%during the validation phase in contrast to the highest accuracies achieved by state-of-the-art techniques in the literature such as 90.6%,95.84%,97.56%and 98.03%,*** far as the training phase analysis is concerned,the proposed scheme exhibits 99.214% accuracy. The proposed prediction modelis a potential contribution towards smart cities environment.

关键词： Neuro-fuzzy machine learning congestion prediction AI cloud computing smart cities

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Novel Metadata Based Multi-Label Document Classification Technique

引用

Computer Systems Science & Engineering 2023年第8期46卷 2195-2214页

作者： Naseer Ahmed Sajid Munir Ahmad Atta-ur Rahman Gohar Zaman mohammed Salih Ahmed Nehad Ibrahim mohammed imran bahmed Gomathi Krishnasamy Reem Alzaher Mariam Alkharraa Dania AlKhulaifi Maryam AlQahtani Asiya A.Salam Linah Saraireh mohammed Gollapalli Rashad Ahmed Barani Institute of Information Technology(BIIT) PMAS Arid Agriculture UniversityRawalpindi46000PunjabPakistan Department of Computer Science(CS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Faculty Computer Science and Information Technology Universiti Tun Hussein Onn MalaysiaBatu PahatMalaysia Department of Computer Engineering(CE) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia College of Business Administration Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Information System(CIS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia ICS Department King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia

From the beginning,the process of research and its publication is an ever-growing phenomenon and with the emergence of web technologies,its growth rate is *** a rough estimate,more than thirty thousand research journals have been issuing around four million papers annually on *** engines,indexing services,and digital libraries have been searching for such publications over the ***,getting the most relevant articles against the user requests is yet a *** is mainly because the articles are not appropriately indexed based on the hierarchies of granular subject *** overcome this issue,researchers are striving to investigate new techniques for the classification of the research articles especially,when the complete article text is not available(a case of nonopen access articles).The proposed study aims to investigate the multilabel classification over the available metadata in the best possible way and to assess,“to what extent metadata-based features can perform in contrast to content-based approaches.”In this regard,novel techniques for investigating multilabel classification have been proposed,developed,and evaluated on metadata such as the Title and Keywords of the *** proposed technique has been assessed for two diverse datasets,namely,from the Journal of universal computer science(***)and the benchmark dataset comprises of the articles published by the Association for computing machinery(ACM).The proposed technique yields encouraging results in contrast to the state-ofthe-art techniques in the literature.

关键词： Multilabel classification indexing metadata content/data mining

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Fine-Tuning Cyber Security Defenses: Evaluating Supervised Machine Learning Classifiers for Windows Malware Detection

引用

Computers, Materials & Continua 2024年第8期80卷 2917-2939页

作者： Islam Zada mohammed Naif Alatawi Syed Muhammad Saqlain Abdullah Alshahrani Adel Alshamran Kanwal imran Hessa Alfraihi Department of Software Engineering International Islamic UniversityIslamabad25000Pakistan Information Technology Department Faculty of Computers and Information TechnologyUniversity of TabukTabuk71491Saudi Arabia Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddah21493Saudi Arabia Department of Computer Science University of PeshawarPeshawar25121Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Malware attacks on Windows machines pose significant cybersecurity threats,necessitating effective detection and prevention *** machine learning classifiers have emerged as promising tools for malware ***,there remains a need for comprehensive studies that compare the performance of different classifiers specifically for Windows malware *** this gap can provide valuable insights for enhancing cybersecurity *** numerous studies have explored malware detection using machine learning techniques,there is a lack of systematic comparison of supervised classifiers for Windows malware *** the relative effectiveness of these classifiers can inform the selection of optimal detection methods and improve overall security *** study aims to bridge the research gap by conducting a comparative analysis of supervised machine learning classifiers for detecting malware on Windows *** objectives include Investigating the performance of various classifiers,such as Gaussian Naïve Bayes,K Nearest Neighbors(KNN),Stochastic Gradient Descent Classifier(SGDC),and Decision Tree,in detecting Windows *** the accuracy,efficiency,and suitability of each classifier for real-world malware detection *** the strengths and limitations of different classifiers to provide insights for cybersecurity practitioners and *** recommendations for selecting the most effective classifier for Windows malware detection based on empirical *** study employs a structured methodology consisting of several phases:exploratory data analysis,data preprocessing,model training,and *** data analysis involves understanding the dataset’s characteristics and identifying preprocessing *** preprocessing includes cleaning,feature encoding,dimensionality reduction,and optimization to prepare the data for *** training utilizes various

关键词： Security and privacy challenges in the context of requirements engineering supervisedmachine learning malware detection windows systems comparative analysis Gaussian Naive Bayes K Nearest Neighbors Stochastic Gradient Descent Classifier Decision Tree

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Impact of metal polluted sewage water on soil nematode assemblages in agricultural settings of Aligarh,India

引用

Soil Ecology Letters 2024年第1期6卷 61-75页

作者： mohammed F.S.A.Ghanem Shahid Afzal Humira Nesar Zarrin imran Wasim Ahmad Nematode Biodiversity Research Lab Department of ZoologyAligarh Muslim UniversityAligarh 202002India

Sewage water in agriculture threatens human health and soil ecosystems through metal *** show promise as bioindicators of soil health due to their abundance and position in soil food ***-polluted water decreased abundance of certain nematode groups and Sigma Maturity *** pollution positively affected nematode groups with r-selected life *** water has been inappropriately used in agriculture,posing possible threats to human health and the soil ecosystems by its constituent pollutants,especially heavy *** evaluation of its influences on soil biomes needs to consider the response of soil *** soil organisms,nematodes are seen as the best promising candidates for bioindicators of soil *** in,we collected soil samples from fresh water irrigated field from three sites(S1,S2 and S3)and sewage water irrigated distance gradient(5 m-40 m),to assess the influence of metal(Cu,Zn,Cd,Mn,Pb)polluted water on various characteristics of nematode *** results indicated that the heavy metals decreased the abundance of C-p3 nematodes,herbivores,and predatory nematodes as well as sigma maturity index,whereas,C-p1,C-p2,bacterivore and fungivore nematodes abundance and diversity positively responded to the metal ***,nematode genera with r-selected life cycle were positively affected and those with K-selected life cycle were negatively affected by metal *** nematode community has potential to be used as indicator of pollution stress in agricultural soils to check soil health and sustainability.

关键词： heavy metals sewage irigation agriculture nematodes bioindicators

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Unraveling the therapeutic mechanisms of myristic acid and luteolin 7-rutinoside in oral cancer: insights from network pharmacology and molecular docking analysis

引用

Pharmacology Discovery 2024年第2期4卷 1-9页

作者： Ansari Vikhar Danish Ahmad Misba Ruhi Syed Ayaz Ali Qazi Yasar Mohd.Mukhtar Khan Subur W Khan mohammed imran Anees Y.B.Chavan College of Pharmacy Dr.Babasaheb Ambedkar Marathwada UniversityAurangabad 431001India Maulana Azad College Dr.Babasaheb Ambedkar Marathwada UniversityAurangabad 431001India

Background:The compound Luteolin-7-rutinoside(L7R)is a flavone derivative of luteolin,predominantly identified in plant species belonging to the families ***,Myristic acid is characterized by its structure as a 14-carbon,unsaturated fatty *** this investigation,we endeavor to elucidate the putative mechanisms underlying the therapeutic effects of Myristic Acid and Luteolin 7-rutinoside in the context of oral cancer treatment,employing network pharmacology coupled with molecular docking ***:The protein targets of Myristic Acid and Luteolin 7-rutinoside were identified through a search on the Swiss Target ***,a compound-target network was constructed using Cytoscape *** associated with OC were retrieved from the OMIM and GeneCards *** overlap between compound targets and OC-related targets was determined,and the resulting shared targets were subjected to protein-protein interaction(PPI)network analysis using the STRING ***,gene ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were conducted on the identified *** docking were performed to investigate the interactions between the core target and the active ***:The component target network comprises 103 nodes and 102 *** the proteins in the protein-protein interaction(PPI)network,those with higher degrees are TNF,PPARG,and *** through Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways indicates that the treatment of OC with Myristic Acid and Luteolin 7-rutinoside primarily involves the regulation of miRNA transcription and inflammatory *** identified signaling pathways include Pathways in cancer,PPAR signaling pathway,EGFR signaling pathway,and TNF signaling *** docking studies reveal that Luteolin 7-rutinoside and Myristic acid exhibit higher affinity towards TNF,PPARG,TP53,and ***:This study

关键词： myristic acid luteolin 7-rutinoside network pharmacology oral cancer molecular docking

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Power Allocation in NOMA-CR for 5G Enabled IoT Networks

引用

Computers, Materials & Continua 2022年第9期72卷 5515-5530页

作者： mohammed Basheri Mohammad Haseeb Zafar imran Khan Department of Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia Cardiff School of Technologies Cardiff Metropolitan UniversityCardiffCF52YBUK Department of Electrical Engineering University of Engineering&TechnologyPeshawar25120Pakistan

In the power domain,non-orthogonal multiple access(NOMA)supports multiple users on the same time-frequency resources,assigns different transmission powers to different users,and differentiates users by user channel ***-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information,and multi-user detection algorithms,such as successive interference cancellation(SIC)is performed at the receiving end to demodulate the necessary user *** contrast to the orthogonal transmission method,the non-orthogonal method can achieve higher spectrum ***,it will increase the receiver *** the development of microelectronics technology,chip processing capabilities continue to increase,laying the foundation for the practical application of non-orthogonal transmission *** NOMA,different users are differentiated by different power ***,the power allocation has a considerable impact on the NOMA system *** address this issue,the idea of splitting power into two portions,intra-subbands and intersubbands,is proposed in this study as a useful ***,such optimization problems are solved using proportional fair scheduling and water-filling ***,the error propagation was modeled and analyzed for the residual *** proposed technique effectively increased the system throughput and performance under various operating settings according to simulation findings.A comparison is performed with existing algorithms for performance evaluation.

关键词： NOMA wireless networks power domain 5G networks

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A Secure and Efficient Cluster-Based Authentication Scheme for Internet of Things(IoTs)

引用

Computers, Materials & Continua 2022年第1期70卷 1033-1052页

作者： Kanwal imran Nasreen Anjum Abdullah Alghamdi Asadullah Shaikh mohammed Hamdi Saeed Mahfooz Department of Computer Science University of PeshawarPeshawar25121Pakistan Department of Informatics King’s College LondonLondonSE59RJUK College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia

IPv6 over Low PowerWireless Personal Area Network(6LoWPAN)provides IP connectivity to the highly constrained nodes in the Internet of Things(IoTs).6LoWPANallows nodeswith limited battery power and storage capacity to carry IPv6 datagrams over the lossy and error-prone radio links offered by the IEEE 802.15.4 standard,thus acting as an adoption layer between the IPv6 protocol and IEEE 802.15.4 *** data link layer of IEEE 802.15.4 in 6LoWPAN is based on AES(Advanced Encryption Standard),but the 6LoWPANstandard lacks and has omitted the security and privacy requirements at higher *** sensor nodes in 6LoWPANcan join the network without requiring the authentication ***,from security perspectives,6LoWPAN is vulnerable to many attacks such as replay attack,Man-in-the-Middle attack,Impersonation attack,and Modification *** paper proposes a secure and efficient cluster-based authentication scheme(CBAS)for highly constrained sensor nodes in *** this approach,sensor nodes are organized into a cluster and communicate with the central network through a dedicated sensor *** main objective of CBAS is to provide efficient and authentic communication among the 6LoWPAN *** ensure the low signaling overhead during the registration,authentication,and handover procedures,we also introduce lightweight and efficient registration,de-registration,initial authentication,and handover procedures,when a sensor node or group of sensor nodes join or leave a *** security analysis shows that the proposed CBAS approach protects against various security attacks,including Identity Confidentiality attack,Modification attack,Replay attack,Man-in-the-middle attack,and Impersonation *** simulation experiments show that CBAS has reduced the registration delay by 11%,handoff authentication delay by 32%,and signaling cost by 37%compared to the SGMS(Secure GroupMobility Scheme)and LAMS(Light-Wight Authentication&Mobility Scheme).

关键词： IoT cyber security security attacks authentication delay handover delay signaling cost 6LoWPAN

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Ensemble Machine Learning Based Identification of Pediatric Epilepsy

引用

Computers, Materials & Continua 2021年第7期68卷 149-165页

作者： Shamsah Majed Alotaibi Atta-ur-Rahman mohammed imran Basheer Muhammad Adnan Khan Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Faculty of Computing Riphah School of Computing&InnovationRiphah International UniversityLahorePakistan

Epilepsy is a type of brain disorder that causes recurrent *** is the second most common neurological disease after Alzheimer’*** effects of epilepsy in children are serious,since it causes a slower growth rate and a failure to develop certain *** the medical field,specialists record brain activity using an Electroencephalogram(EEG)to observe the epileptic *** detection of these seizures is performed by specialists,but the results might not be accurate due to human errors;therefore,automated detection of epileptic pediatric seizures might be the optimal *** paper investigates the detection of epileptic seizures by applying supervised machine learning *** techniques applied on the data of patients with ages seven years and below from children’s hospital boston massachusetts institute of technology(CHB-MIT)scalp EEG database of epileptic pediatric signals.A group of Naïve Bayes(NB),Support vector machine(SVM),Logistic regression(LR),k-nearest neighbor(KNN),Linear discernment(LD),Decision tree(DT),and ensemble learning methods were applied to the classification *** results demonstrated the outperformance of the present study by achieving 100%for all parameters using the Ensemble learning model in contrast to state-of-the-art studies in the ***,the SVM model achieved performance with 98.3%for sensitivity,97.7%for specificity,and 98%for *** results of the LD and LR models reveal the lower performance i.e.,the sensitivity at 66.9%–68.9%,specificity at 73.5%–77.1%,and accuracy at 70.2%–73%.

关键词： Pediatric epilepsy ensemble learning machine learning SVM EEG data

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Interleukin-1 receptor antagonist:From synthesis to therapeutic applications

引用

BIOCELL 2023年第4期47卷 809-823页

作者： KANWAL REHMAN AMMARA AFZAAL MUHAMMAD SAJID HAMID AKASH MUHAMMAD imran mohammed A.ASSIRI Department of Pharmacy The Women UniversityMultan60000Pakistan Department of Pharmaceutical Chemistry Government College UniversityFaisalabad38000Pakistan Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityAbha62413Saudi Arabia Department of Chemistry Faculty of ScienceKing Khalid UniversityAbha62413Saudi Arabia

The cytokine channel’s mechanism for self-regulation involves the application of antagonistic cytokines that are synthesized to connect to the receptors and release soluble cytokine *** very first receptor antagonist of cytokine that was naturally present was interleukin-1 receptor antagonist(IL-1Ra).The IL-1Ra protein forms are disinfected from supernatants of cultured monocytes on stacked *** family of IL-1 consists of IL-1α,IL-1βand *** monocytes regulate the production of ***-Ra takes part in normal physiological functions by using specific antibodies,and acts as an anti-inflammatory ***-Ra is synthesized in the tissues during the period of active disease and can be systematically measured and/or *** of the levels of IL-Ra and IL-1 is the main factor for host resistance in patients during diseased conditions,as IL-Ra acts as an inherent regulator of various inflammatory *** this article,we focuse on how IL-Ra is synthesized and performs its functions once the inflammatory responses are activated.

关键词： IL-Ra Synthesis Therapeutic applications Functions of IL-1Ra

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

A case of neurosyphilis with psychosis and hippocampal atrophy

引用

General Psychiatry 2022年第1期35卷 57-60页

作者： mohammed Murtza Ayesha Bangash Ajaz-Ur Rehman Amjadali Pervaiz Adeena imran General Psychiatry South West Yorkshire Partnership NHS Foundation TrustHalifaxUK Old Age Psychiatry South West Yorkshire Partnership NHS Foundation TrustHalifaxUK

Neurosyphilis can mimic many neurological and psychiatric *** several of its varied central nervous system manifestations can be measured clinically and by neuroimaging,they are ***,this mimicry and the relative rarity of the illness in the present era make the diagnosis ***,neurosyphilis is readily treatable;therefore,it must be considered a diagnostic possibility in the routine workup of early-onset *** case report is of a young man presenting with psychosis and cognitive *** brain scan showed hippocampal atrophy,a finding not often seen in neurosyphilis but more common in Alzheimer’s *** awareness of the various causes of mesiotemporal atrophy,clinicians may erroneously diagnose cases such as this one as a neurodegenerative disorder.

关键词： atrophy routine diagnosis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：