检索结果-南通市图书馆

Aspect-Based Sentiment Classification Using Deep Learning and Hybrid of Word Embedding and Contextual Position

Intelligent Automation & Soft Computing 2023年第9期37卷 3101-3124页

作者： Waqas Ahmad Hikmat Ullah Khan Fawaz Khaled Alarfaj Saqib Iqbal abdullah mohammad alomair Naif Almusallam Department of Computer Science COMSATS University IslamabadWah CampusWah47040Pakistan Department of Computer Science Namal UniversityMianwali42201Pakistan Department of Management Information Systems(MIS) College of Business AdministrationKing Faisal University(KFU)Al-Ahsa31982Saudi Arabia Department of Software Engineering Al Ain UniversityAl Ain64141United Arab Emirates

Aspect-based sentiment analysis aims to detect and classify the sentiment polarities as negative,positive,or neutral while associating them with their identified aspects from the corresponding *** this regard,prior methodologies widely utilize either word embedding or tree-based ***,the separate use of those deep features such as word embedding and tree-based dependencies has become a significant cause of information ***,word embedding preserves the syntactic and semantic relations between a couple of terms lying in a ***,the tree-based structure conserves the grammatical and logical dependencies of *** addition,the sentence-oriented word position describes a critical factor that influences the contextual information of a targeted ***,knowledge of the position-oriented information of words in a sentence has been considered *** this study,we propose to use word embedding,tree-based representation,and contextual position information in combination to evaluate whether their combination will improve the result’s effectiveness or *** the meantime,their joint utilization enhances the accurate identification and extraction of targeted aspect terms,which also influences their classification *** this research paper,we propose a method named Attention Based Multi-Channel Convolutional Neural Net-work(Att-MC-CNN)that jointly utilizes these three deep features such as word embedding with tree-based structure and contextual position *** three parameters deliver to Multi-Channel Convolutional Neural Network(MC-CNN)that identifies and extracts the potential terms and classifies their *** addition,these terms have been further filtered with the attention mechanism,which determines the most significant *** empirical analysis proves the proposed approach’s effectiveness compared to existing techniques when evaluated on standard *** experimental resu

关键词： Sentiment analysis word embedding aspect extraction consistency tree multichannel convolutional neural network contextual position information

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

Decoding molecular mechanisms:brain aging and Alzheimer's disease

引用

Neural Regeneration Research 2025年第8期20卷 2279-2299页

作者： Mahnoor Hayat Rafay Ali Syed Hammad Qaiser mohammad Uzair Khalid Al-Regaiey Roaa Khallaf Lubna abdullah Mohammed Albassam Imdad Kaleem Xueyi Wang Ran Wang Mehwish SBhatti Shahid Bashir Atta-ur-Rahman School of Applied Biosciences(ASAB) National University of Sciences and Technology(NUST)IslamabadPakistan Department of Biotechnology Quaid-i-Azam UniversityIslamabadPakistan Department of Biological Sciences Faculty of Basic&Applied SciencesInternational Islamic University Islamabad(IIUI)IslamabadPakistan Department of Bioengineering King Fahd University of Petroleum and MineralsDhahranSaudi Arabia Department of Physiology College of MedicineKing Saud UniversityRiyadhSaudi Arabia Department of Neurology Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Mental Health Neuroscience CenterKing Fahad Specialist HospitalDammamSaudi Arabia Department of Biosciences Commission on Science and Technology for Sustainable Development in the South(COMSATS University)IslamabadPakistan Department of Psychiatry The First Hospital of Hebei Medical UniversityShijiazhuangHebei ProvinceChina Mental Health Institute of Hebei Medical University ShijiazhuangHebei ProvinceChina Department of Neurobiology and Behavior University of CaliforniaIrvineCAUSA Neuroscience Center King Fahad Specialist Hospital DammamDammamSaudi Arabia

The complex morphological,anatomical,physiological,and chemical mechanisms within the aging brain have been the hot topic of research for *** aging process alters the brain structure that affects functions and cognitions,but the worsening of such processes contributes to the pathogenesis of neurodegenerative disorders,such as Alzheimer's *** these observable,mild morphological shifts,significant functional modifications in neurotransmission and neuronal activity critically influence the aging *** these changes is important for maintaining cognitive health,especially given the increasing prevalence of age-related conditions that affect *** review aims to explore the age-induced changes in brain plasticity and molecular processes,differentiating normal aging from the pathogenesis of Alzheimer's disease,thereby providing insights into predicting the risk of dementia,particularly Alzheimer's disease.

关键词： Alzheimer’s disease brain aging cognitive health dementia molecular mechanisms neuronal activity neuroplasticity neurotransmission

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Secure Channel Estimation Using Norm Estimation Model for 5G Next Generation Wireless Networks

引用

Computers, Materials & Continua 2025年第1期82卷 1151-1169页

作者： Khalil Ullah Song Jian Muhammad Naeem Ul Hassan Suliman Khan mohammad Babar Arshad Ahmad Shafiq Ahmad Faculty of Information Engineering and Automation Kunming University of Science and TechnologyKunming650500China Department of Computer Science Abbottabad University of Science and TechnologyHavelianAbbottabad22500Pakistan Department of Computing and Electronics Engineering Middle East CollegeMuscat124Oman Department of CS&IT Pak-Austria Fachhochschule Institute of Applied Sciences and Technology MangHaripur22621Pakistan Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

The emergence of next generation networks(NextG),including 5G and beyond,is reshaping the technological landscape of cellular and mobile *** networks are sufficiently scaled to interconnect billions of users and *** in academia and industry are focusing on technological advancements to achieve highspeed transmission,cell planning,and latency reduction to facilitate emerging applications such as virtual reality,the metaverse,smart cities,smart health,and autonomous *** continuously improves its network functionality to support these *** input multiple output(MIMO)technology offers spectral efficiency,dependability,and overall performance in *** article proposes a secure channel estimation technique in MIMO topology using a norm-estimation model to provide comprehensive insights into protecting NextG network components against adversarial *** technique aims to create long-lasting and secure NextG networks using this extended *** viability of MIMO applications and modern AI-driven methodologies to combat cybersecurity threats are explored in this ***,the proposed model demonstrates high performance in terms of reliability and accuracy,with a 20%reduction in the MalOut-RealOut-Diff metric compared to existing state-of-the-art techniques.

关键词： Next generation networks massive mimo communication network artificial intelligence 5G adversarial attacks channel estimation information security

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

Engendered nanoparticles for treatment of brain tumors

引用

Oncology Research 2025年第1期33卷 15-26页

作者： SOROUSH SOLEYMANI mohammad DOROUDIAN MAHDIEH SOEZI ALI BELADI KIARASH ASGARI ASO MOBARAKSHAHI ARYANA AGHAEIPOUR RONAN MACLOUGHLIN Department of Cell and Molecular Biology School of Biological SciencesUniversity of LeicesterLeicesterLE17RHUK Department of Cell and Molecular Biology Faculty of Biological SciencesKharazmi UniversityTehran15719-14911Iran Cancer Epidemiology Research Center Aja University of Medical SciencesTehran14117-18541Iran Medical Biotechnology Research Center Aja University of Medical SciencesTehran14117-18541Iran Department of Life Sciences Faculty of Natural SciencesImperial College LondonLondonSW72AZUK School of Pharmacy and Biomolecular Sciences Royal College of Surgeons in Ireland(RCSI)DublinD02 YN77Ireland Research and Development Science and Emerging TechnologiesAerogen Ltd.Galway Business ParkGalwayH91 HE94Ireland School of Pharmacy and Pharmaceutical Sciences Trinity CollegeDublinD02 PN40Ireland

Brain metastasis and primary glioblastoma multiforme represent the most common and lethal malignant brain *** median survival time is typically less than a year after *** of the major challenges in treating these cancers is the efficiency of the transport of drugs to the central nervous *** blood-brain barrier is cooperating with advanced stages of *** blood-brain barrier poses a significant challenge to delivering systemic medications to brain *** delivery systems have emerged as promising tools for effectively crossing this ***,the development of smart nanoparticles brings new hope for cancer diagnosis and *** nanoparticles improve drug delivery efficiency,allowing for the creation of targeted and stimuli-responsive delivery *** review highlights recent advancements in nanoparticle and smart nanoparticle technologies for brain cancer treatment,exploring the range of nanoparticles under development,their applications,targeting strategies,and the latest progress in enhancing transport across the blood-brain *** also addresses the ongoing challenges and potential benefits of these innovative approaches.

关键词： Nanoparticles Smart nanoparticles Stimuli responsive nanoparticles Targeted nanoparticles Blood-brain barrier(BBB) Brain cancer

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

Deep Q-Learning Based Optimal Query Routing Approach for Unstructured P2P Network

引用

Computers, Materials & Continua 2022年第3期70卷 5765-5781页

作者： mohammad Shoab abdullah Shawan Alotaibi Department of Computer Science Faculty of Science at Al DawadmiShaqra UniversityShaqraSaudi Arabi

Deep Reinforcement Learning(DRL)is a class of Machine Learning(ML)that combines Deep Learning with Reinforcement Learning and provides a framework by which a system can learn from its previous actions in an environment to select its efforts in the future *** has been used in many application fields,including games,robots,networks,*** creating autonomous systems that improve themselves with *** is well acknowledged that DRL is well suited to solve optimization problems in distributed systems in general and network routing ***,a novel query routing approach called Deep Reinforcement Learning based Route Selection(DRLRS)is proposed for unstructured P2P networks based on a Deep Q-Learning *** main objective of this approach is to achieve better retrieval effectiveness with reduced searching cost by less number of connected peers,exchangedmessages,and reduced *** simulation results shows a significantly improve searching a resource with compression to k-Random Walker and Directed ***,retrieval effectiveness,search cost in terms of connected peers,and average overhead are 1.28,106,149,respectively.

关键词： Reinforcement learning deep q-learning unstructured p2p network query routing

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

Association Rule Analysis-Based Identification of Influential Users in the Social Media

引用

Computers, Materials & Continua 2022年第12期73卷 6479-6493页

作者： Saqib Iqbal Rehan Khan Hikmat Ullah Khan Fawaz Khaled Alarfaj abdullah Mohammed alomair Muzamil Ahmed College of Engineering Al Ain UniversityAl AinUnited Arab Emirates Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47040Pakistan Department of Computer Science and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Al-HoufufSaudi Arabia

The exchange of information is an innate and natural process that assist in content *** networking sites emerge to enrich their users by providing the facility for sharing information and social *** extensive adoption of social networking sites also resulted in user content *** are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets,politics and social *** is extensively used platform to share information,thoughts and opinions through posts and *** identification of influential users on the social web has grown as hot research field because of vast applications in diverse areas for instance political campaigns marketing,e-commerce,commercial and,*** research studies either uses linguistic content or graph-based representation of social network for the detection of influential *** this article,we incorporate association rule mining algorithms to identify the top influential users through frequent *** association rules have been computed using the standard evaluation measures such as support,confidence,lift,and *** verify the results,we also involve conventional metrics for example accuracy,precision,recall and F1-measure according to the association rules *** detailed experiments are carried out using the benchmark College-Msg dataset extracted by *** obtained results validate the quality and visibility of the proposed *** outcome of propose model verify that the association rule mining is able to generate rules to identify the temporal influential users on Facebook who are consistent on regular *** preparation of rule set help to create knowledge-based systems which are efficient and widely used in recent era for decision making to solve real-world problems.

关键词： Association rule mining ranking social web influential users social media

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

Crack Propagation in Pipelines Under Extreme Conditions of Near-Neutral PH SCC

引用

Computers, Materials & Continua 2022年第12期73卷 5315-5329页

作者： abdullah Alsit mohammad Alkhedher Hasan Hamdan Mechanical Engineering Department College of EngineeringAbu Dhabi UniversityAbu Dhabi59911United Arab Emirates

Stress Corrosion Cracking(SCC)process through which cracks occur in a variety of susceptible materials is a result of a combination of residual or applied stresses and *** oil and gas field,buried pipeline steels are made of low-alloy steels with a ferritic-pearlitic structure,such as *** dilute solutions,these materials are prone to SCC *** Near-neutral simulated soil solution(NS4)solution is established to imitate SCC conditions and subsequently became the industry requirement for crack growth experiments in the majority of *** strainassisted active crack pathways are considered while modelling SCC growth as an oxide film rupture and anodic dissolution ***’s been hypothesized that increasing the strain concentration can help with dissolution at the filmfree crack *** research focuses on estimating the SCC crack growth rate under various environmental conditions in oil and gas pipelines using finite element *** simulation is carried out using the J-integral theory in the COMSOL Multiphysics *** are performed to model the crack growth rate(CGR)using slip anodic dissolution(film rupture)*** plastic strain gradient is required to compute the SCC CGR(da/dt).Because the plastic strain located at crack tip increases proportionally to the crack length as it propagates,the CGR increases as the stress intensity factor(SIF)*** crack growth rates increase when constant loads are applied and as the temperature rises,and elevating the cathodic potential has a minimal influence on the propagation rate of cracks but raises the material yield strength and imparts brittle behavior to it.

关键词： Stress corrosion cracking SCC oxide film rupture and anodic dissolution crack growth rate CGR J-integral stress intensity factor SIF

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

Seismic design factors for RC special moment resisting frames in Dubai,UAE

引用

Earthquake Engineering and Engineering Vibration 2011年第4期10卷 495-506页

作者： mohammad AlHamaydeh Sulayman abdullah Ahmed Hamid Abdilwahhab Mustapha Department of Civil Engineering American University of Sharjah

This study investigates the seismic design factors for three reinforced concrete （RC） framed buildings with 4, 16 and 32-stories in Dubai, UAE utilizing nonlinear analysis. The buildings are designed according to the response spectrum procedure defined in the 2009 International Building Code （IBC＇09）. Two ensembles of ground motion records with 10% and 2% probability of exceedance in 50 years （10/50 and 2/50, respectively） are used. The nonlinear dynamic resPonses to the earthquake records are computed using IDARC-2D. Key seismic design parameters are evaluated; namely, response modification factor （R）, deflection amplification factor （Cd）, system overstrength factor （Ωo）, and response modification factor for ductility （Rd） in addition to inelastic interstory drift. The evaluated seismic design factors are found to significantly depend on the considered ground motion （10/50 versus 2/50）. Consequently, resolution to the controversy of Dubai seismicity is urged. The seismic design factors for the 2/50 records show an increase over their counterparts for the 10/50 records in the range of 200%-400%, except for the D~ factor, which shows a mere 30% increase. Based on the observed trends, perioddependent R and Cd factors are recommended if consistent collapse probability （or collapse prevention performance） in moment frames with varying heights is to be expected.

关键词： Seismic design factors reinforced concrete special moment resisting frame Dubai UAE

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Nature-inspired Hybrid Optimization Algorithms for Load Flow Analysis of Islanded Microgrids

引用

Journal of Modern Power Systems and Clean Energy 2020年第6期8卷 1250-1258页

作者： Saad mohammad abdullah Ashik Ahmed Quazi Nafees Ul Islam the Department of Electrical and Electronic Engineering Islamic University of TechnologyBoard BazarGazipur 1704Bangladesh

Load flow analysis is a significant tool for proper planning,operation,and dynamic analysis of a power system that provides the steady-state values of voltage magnitudes and angles at the fundamental ***,due to the absence of a slack bus in an islanded microgrid,modified load flow algorithms should be adopted considering the system frequency as one of the solution *** paper proposes the application of nature-inspired hybrid optimization algorithms for solving the load flow problem of islanded *** nature-inspired algorithms such as genetic algorithm(GA),differential evolution(DE),flower pollination algorithm(FPA),and grasshopper optimization algorithm(GOA)are separately merged with imperialistic competitive algorithm(ICA)to form four hybrid algorithms named as ICGA,ICDE,ICFPA,and *** of these algorithms are tested on the 6-bus test system and the modified IEEE 37-bus test system.A comparison among the proposed algorithms is carried out in terms of statistical analysis conducted using SPSS statistics *** the statistical analysis,it is identified that on an average,ICDE takes less number of iterations and consequently needs less execution time compared with other algorithms in solving the load flow problem of islanded microgrids.

关键词： Nature-inspired hybrid algorithm global optimization islanded microgrid load flow analysis

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Quantum Inspired Differential Evolution with Explainable Artificial Intelligence-Based COVID-19 Detection

引用

Computer Systems Science & Engineering 2023年第7期46卷 209-224页

作者： abdullah M.Basahel mohammad Yamin Department of Management Information Systems Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia

Recent advancements in the Internet of Things(Io),5G networks,and cloud computing(CC)have led to the development of Human-centric IoT(HIoT)applications that transform human physical monitoring based on machine *** HIoT systems find use in several applications such as smart cities,healthcare,transportation,***,the HIoT system and explainable artificial intelligence(XAI)tools can be deployed in the healthcare sector for effective *** COVID-19 pandemic has become a global health issue that necessitates automated and effective diagnostic tools to detect the disease at the initial *** article presents a new quantum-inspired differential evolution with explainable artificial intelligence based COVID-19 Detection and Classification(QIDEXAI-CDC)model for HIoT *** QIDEXAI-CDC model aims to identify the occurrence of COVID-19 using the XAI tools on HIoT *** QIDEXAI-CDC model primarily uses bilateral filtering(BF)as a preprocessing tool to eradicate the *** addition,RetinaNet is applied for the generation of useful feature vectors from radiological *** COVID-19 detection and classification,quantum-inspired differential evolution(QIDE)with kernel extreme learning machine(KELM)model is *** utilization of the QIDE algorithm helps to appropriately choose the weight and bias values of the KELM *** order to report the enhanced COVID-19 detection outcomes of the QIDEXAI-CDC model,a wide range of simulations was carried *** comparative studies reported the supremacy of the QIDEXAI-CDC model over the recent approaches.

关键词： Human-centric IoT quantum computing explainable artificial intelligence healthcare COVID-19 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：