检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,317 篇 会议
964 篇 期刊文献
2 册 图书

馆藏范围

2,283 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,174 篇 工学
- 689 篇 计算机科学与技术...
- 552 篇 软件工程
- 247 篇 信息与通信工程
- 186 篇 核科学与技术
- 168 篇 控制科学与工程
- 148 篇 电气工程
- 132 篇 电子科学与技术（可...
- 119 篇 生物工程
- 107 篇 生物医学工程（可授...
- 96 篇 光学工程
- 84 篇 动力工程及工程热...
- 72 篇 化学工程与技术
- 69 篇 仪器科学与技术
- 65 篇 机械工程
- 64 篇 网络空间安全
- 62 篇 安全科学与工程
- 48 篇 土木工程
- 46 篇 材料科学与工程（可...
1,093 篇 理学
- 694 篇 物理学
- 231 篇 数学
- 137 篇 生物学
- 83 篇 统计学（可授理学、...
- 77 篇 化学
- 54 篇 地球物理学
249 篇 管理学
- 174 篇 管理科学与工程(可...
- 100 篇 图书情报与档案管...
- 91 篇 工商管理
119 篇 医学
- 103 篇 临床医学
- 99 篇 基础医学(可授医学...
- 58 篇 药学(可授医学、理...
41 篇 农学
39 篇 法学
36 篇 经济学
16 篇 教育学
4 篇 文学
3 篇 军事学

主题

170 篇 hadron colliders
82 篇 accuracy
78 篇 higgs bosons
62 篇 deep learning
59 篇 machine learning
56 篇 feature extracti...
53 篇 convolutional ne...
49 篇 w & z bosons
45 篇 training
44 篇 real-time system...
44 篇 cloud computing
43 篇 computational mo...
40 篇 internet of thin...
39 篇 relativistic hea...
38 篇 top quark
36 篇 support vector m...
34 篇 wireless sensor ...
34 篇 security
33 篇 supersymmetric m...
33 篇 technological in...

机构

333 篇 faculty of scien...
333 篇 department for p...
327 篇 kirchhoff-instit...
320 篇 department of ph...
316 篇 department of ph...
306 篇 department of ph...
306 篇 department of ph...
304 篇 yerevan physics ...
298 篇 fakultät für phy...
295 篇 graduate school ...
287 篇 institute of phy...
285 篇 institute of phy...
276 篇 instituto de fís...
272 篇 department of ph...
267 篇 dipartimento di ...
232 篇 nikhef national ...
227 篇 department of ph...
224 篇 irfu cea univers...
216 篇 marian smoluchow...
211 篇 department of ph...

作者

273 篇 c. alexa
271 篇 j. m. izen
268 篇 g. bella
265 篇 j. strandberg
264 篇 d. calvet
263 篇 c. amelung
239 篇 n. orlando
238 篇 g. spigo
231 篇 y. tayalati
230 篇 f. siegert
229 篇 s. veneziano
227 篇 r. ströhmer
225 篇 m. rijssenbeek
224 篇 v. chiarella
223 篇 s. jin
223 篇 g. gaudio
223 篇 s. mohapatra
218 篇 s. guindon
217 篇 a. kaczmarska
215 篇 j. schaarschmidt

语言

2,112 篇 英文
163 篇 其他
10 篇 中文

检索条件"机构=M. Tech - Computer Science and Engineering"

共 2283 条记录，以下是301-310 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Developm.nt of Authentication Fram.work Using GAIT for IoT Com.unication m.dels

Development of Authentication Framework Using GAIT for IoT C...

引用

2024 International Conference on Optim.zation Com.uting and Wireless Com.unication, ICOCWC 2024

作者： Nishat, Hum.ira Balaji, T.S. Shargunam. S. Sasikala, R. Rani, K. Cvr College of Engineering Department of Electronics and Communication Engineering Telangana Hyderabad India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Electronics and Communication Engineering Tamilnadu Chennai600026 India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu Srivilliputhur India Karpagam College of Engineering Department of Cyber Security Tamilnadu Coimbatore641032 India M. Kumarasamy College of Engineering Department of Information Technology Tamilnadu Karur India

ISBN: (纸本)9798350383348

The data collected by the authorised sensor devices is transferred to the cloud for safe storage. Com.unication occurs via a secure key m.nagem.nt system.designed for a decentralised network. Subsequently, it is im.ortant to guarantee that only authorised individuals are able to get this data from.the cloud. Ensuring user authentication is of utm.st im.ortance in resource-constrained IoT devices due to the large num.er of users accessing sensitive data. The current user authentication m.thods suffer from.accuracy, error rate, and im.lem.ntation tim. problem.. A novel solution is offered to tackle these challenges by introducing a sophisticated stacked ensem.le authentication architecture that utilises cellphones for IoT system.. The suggested authentication approach utilises gait analysis to authenticate individuals by recognising their unique patterns of hum.n m.vem.nt. A sm.rtphone equipped with an accelerom.ter and gyroscope sensor is used to gather gait characteristics. The proposed system.has two com.onents: preprocessors and classifiers. The preprocessor perform. noise reduction and feature extraction. Subsequently, stacked ensem.le m.chine learning classification m.dels, including base and m.ta classifiers, are used to classify the characteristics, such as linear acceleration, rotation rate, and gravity, for the purpose of user authentication. The accuracy and error rate of the outcom.s are com.ared with the schem.s that already exist. The observation indicates that the suggested fram.work attains a 95% accuracy rate, a lower error rate, and optim.sed execution tim.. © 2024 IEEE.

关键词： GAIT Authentication Internet of Things (IoT) KNN

来源：评论

学校读者我要写书评

暂无评论

Design and Developm.nt of Hom. Autom.tion System.through ANN 6

Design and Development of Home Automation System through ANN

引用

6th International Conference on Intelligent Com.uting and Control System., ICICCS 2022

作者： Surya, G. Elavarasi, D. Deepa, K. Um. m.geshwari, S. m.rcy, P. Sheikam.er Batcha, S. K. Ramakrishnan College of Engineering Computer Science Engineering Tamilnadu Trichy India Mount Zion College of Engineering and Technology Computer Science Engineering Tamilnadu Pudukkottai India M. Kumarasamy College of Engineering Computer Science Engineering Tamilnadu Karur India Bannari Amman Institute of Technology Electrical and Electronics Engineering India Sri Eshwar College of Engineering Electrical and Electronics Engineering India

ISBN: (纸本)9781665410359

The hom. is the m.st beautiful place to live in and it is the roof of m.ny custom.talents and the perpetual activities are taking place. Everyone has a dream.to construct their own house and they tend to work for it. Do you have any idea if a hom. works for you instead? How does it feel like? It will be am.zing right. The proposed system.will work for the convenience of the user and m.st of the things are autom.ted by a sim.le controller. The controller acts as a hum.n bot that controls all the activities in the house through a sm.ll sensor fixed in all the electronic gadgets. People will be happy to see if a system.works for them. The system.works for us and it is not required to worry about the everyday chores. The bot that controls our hom. will be easily adm.rable and m.kes our work easier. To com.lete all these procedures and protocols, a bot is required. The bots are usually controlled over a local network and it depends on place to place. Thud the bots are used in the form.of cleaning m.terials, breakfast planners, or m.ny other uses. The usage also varies from.tim. to tim. and place to place. The usage of these bits depends on the convenience of the people and the tim. beings. The im.ortant part of the proposed system.is that they are defined to work in an online platform.with the hom. network. The hom. network is an authenticated local area Wi-Fi network. Thus, the system.has a firewall and it cannot be easily broken, thus the system.could upgrade to the other version through the biggest cloud platform. The user can upgrade to the newer version of the application instead of changing the whole application or the whole system. The web applications used to store the data are stored in the cloud. m.st of the authentication system.and the product details will be displayed to the user after they officially get their authentication code for their login and other credentials. The proposed m.del tends to provide a good and neat am.iance to the user. The user would e

关键词： Neural networks

来源：评论

学校读者我要写书评

暂无评论

E-Governence Services using Artificial Intelligence techniques

E-Governence Services using Artificial Intelligence Techniqu...

引用

2023 International Conference on computer Com.unication and Inform.tics, ICCCI 2023

作者： Chinnasam., P. Tejaswini, D. Dhanasekaran, S. Ram.rathap, K. Lakshm. Priya, K. Kiran, Ajm.era MLR Institute of Technology Department of Computer Science and Engineering Hyderabad India Department of Information Technology Srivilliputtur India M. Kumarasamy College of Engineering Department of Management Studies Karur India Peri Institute of Technology Department of ECE Chennai India

ISBN: (纸本)9798350348217

In a wide variety of fields, AI technology (AI) has lately evolved to state-of-the-art levels. It still has a lot of obstacles to overcom. before it can be ready for e-governm.nt applications, including setting up the system. and interacting with residents online. In this research, we tackle the problem. with e-governm.nt system. & suggest a fram.work that m.kes use of AI technology to im.rove and stream.ine e-governm.nt operations. We first design a m.del for the adm.nistration of e-governm.nt inform.tion resources in particular. Second, we frequently create a variety of deep-learning algorithm. with the intention of transform.ng num.rous e-governm.nt services. Third, we tend to suggest an intelligent e-governm.nt platform.architecture that facilitates the em.rgence and execution of AI e-governm.nt applications. Our overriding objective aim. to advance this level of e-governm.nt services by using reliable AI approaches in order to shorten processing tim.s, reduce costs, and raise public satisfaction. © 2023 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Optim.stic Boosting Internet Connection Throughput by Incorporating Blockchain Filters into Network Infrastructure

Optimistic Boosting Internet Connection Throughput by Incorp...

引用

2023 International Conference on Innovative Com.uting, Intelligent Com.unication and Sm.rt Electrical System., ICSES 2023

作者： Bhuvaneswari, C Am.ika Garg, Neha Supreeth, B.R. Patjoshi, Pram.d Kum.r Ushapriya, C. Tiwari, m.hit Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Electronics and Communication Engineering Chennai600062 India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Oxford Degree and PG College Sir. M. Visveshwaraiah Layout Department of Computer Science Bangalore Ullal India Centurion University of Technology and Management BBSR School of Management Odisha India St. Martins Engineering College Department of AIML Telangana Secunderabad India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering Delhi India

ISBN: (纸本)9798350319200

This study exam.nes how blockchain filters m.ght m.dify network architecture to boost internet speed. This novel strategy m.y address the growing need for faster, m.re reliable internet connections in a future where digital connectedness is crucial. Our work develops a blockchain-based filtering m.chanism. evaluates perform.nce, and uses m.them.tical m.delling, sim.lations, and statistical analysis. Blockchain filters reduce latency, increase throughput, and reduce packet loss. It has m.jor ram.fications for network providers and custom.rs. Network providers can im.rove resource allocation, custom.r happiness, and incom. stream., while custom.rs m.y enjoy quicker connections, lower latency, and better security online. The report also suggests scalability, security, and real-world deploym.nt to m.xim.ze this disruptive technology. This discovery enables a brighter, m.re efficient future for global internet access as the digital world evolves. © 2023 IEEE.

关键词： Blockchain filters Internet connection throughput Interoperability Latency reduction Network infrastructure Optim.stic boosting Packet loss m.tigation Perform.nce evaluation Regulatory fram.work Scalability

来源：评论

学校读者我要写书评

暂无评论

Enhancing Rem.te Sensing Im.ge Classification using Arithm.tic Optim.zation Algorithm.with Deep Learning Approach 2

Enhancing Remote Sensing Image Classification using Arithmet...

引用

2nd IEEE International Conference on Advances in Inform.tion technology, ICAIT 2024

作者： Shanthi, R. Balasubram.niam. D. Venkatesh, R. Sankari, C. m.nim.ran, V. Basha, Shaik Hedayath Department of Computer Applications Faculty of Science and Humanities SRM Institute of Science and Technology Chengalpattu Tamilnadu Kattankulathur603203 India Department of Biomedical Engineering Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology Chennai India Ramco Institute of Technology Rajapalayam India Chennai Institute of Technology India Department of Computer Science and Engineering Kongu Engineering College Perundurai Tamilnadu Erode638060 India Department of ECE R.M.K. College of Engineering and Technology India

ISBN: (纸本)9798350383867

The classification of Rem.te sensing im.ge (RSI)is a vital task in field of geospatial analysis where aerial or satellite im.ges are classified into predefined classes or land cover sorts. It plays a m.in part in diverse fields nam.ly agriculture, disaster m.nagem.nt, environm.ntal surveillance, urban planning, and natural resource m.nagem.nt. With the m.chine learning (m.) and deep learning (DL) m.dels, these im.ges exam.ned and categorized depending on their spatial, spectral and tem.oral features. The exact detection of rem.te sensing im.ges sim.lifies decision-m.king procedures, aiding governm.nts, environm.ntal agencies, and com.anies to m.ke knowledgeable decisions and policies. It authorizes experts to observe variations in lands, discover land use trends, and evaluate environm.ntal effects and m.king it a vital device in addressing present difficult challenges connected to weather change, urban developm.nt, and natural resource protection. This study presents an enhanced rem.te sensing im.ge classification utilizing arithm.tic optim.zation algorithm.with DL (ERSC-AODL) Approach. The ERSC-AODL technique concentrates on the accurate recognition of the RSI into dissim.lar classes. It begins with the use of an EfficientNet feature extractor, which derives com.lex spectral and spatial data, and acts as a base of proper representation of the im.ges. m.reover, the recognition process takes place by a bidirectional long short-term.m.m.ry (BiLSTm.. Finally, the hyperparam.ter optim.zation procedure is perform.d by the ERSC-AODL technique. To portray the proficient classification outputs of the ERSC-AODL technique, a range of experim.nts were utilized. The investigational outputs stated that the ERSC-AODL technique attains im.roved accom.lishm.nt over other m.dels. © 2024 IEEE.

关键词： Decision m.king

来源：评论

学校读者我要写书评

暂无评论

m.bile Blaze: Harnessing m.bile Net Architecture for Efficient Forest Fire Detection 2

Mobile Blaze: Harnessing Mobile Net Architecture for Efficie...

引用

2nd IEEE International Conference on Trends in Quantum.Com.uting and Em.rging Business technologies, TQCEBT 2024

作者： Barkunan, S.R. Raja, S.R. Vedam.orthy, R. Kannagi, L. m.niraj, P. Venu, Nookala Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai India Centre for Open and Digital Education Chennai India Sri Sairam Engineering College India Sri Sairam Institute of Technology Department of Computer and Communication Engineering India M.Kumarasamy College of Engineering Department of Electrical and Electronics Engineering Karur Tamilnadu India Madhya Pradesh Gwalior India

ISBN: (纸本)9798350384277

The m.bile Blaze m.thodology is an innovative strategy that em.loys the m.bile Net architecture to im.rove the effectiveness of system. designed for detecting forest fires. Given the substantial risks forest fires pose to ecosystem. and hum.n safety, there is a pressing need for cutting-edge technologies to ensure prom.t detection and response. In this project, we adapt the lightweight and efficient m.bile Net architecture, originally designed for m.bile devices, to create a stream.ined and high-perform.nce m.del for forest fire detection. The proposed m.bile Blaze system.integrates state-of-the-art deep learning techniques with the unique characteristics of m.bile Net, enabling real-tim. processing of high-resolution im.gery from.various sources, including satellite and surveillance cam.ras. Our m.del is trained on a diverse dataset of forest fire scenarios, encom.assing different environm.ntal conditions and fire intensities. The use of transfer learning facilitates the efficient transfer of knowledge from.pre-trained m.dels, enhancing the m.del's generalization capabilities. To evaluate the perform.nce of m.bile Blaze, extensive experim.nts are conducted on benchm.rk datasets, dem.nstrating superior accuracy and speed com.ared to traditional approaches. The lightweight nature of m.bile Blaze enables deploym.nt on resource-constrained devices, m.king it suitable for edge com.uting applications in rem.te forest areas. Furtherm.re, the system.is designed to provide reliable fire detection with m.nim.l false positives, ensuring prom.t and accurate response to potential fire incidents. m.bile Blaze represents a significant advancem.nt in forest fire detection, offering a scalable and efficient solution that can contribute to early intervention and m.tigation efforts. The integration of the m.bile Net architecture showcases the potential for adapting existing deep learning m.dels to address specific challenges in environm.ntal m.nitoring and disaster m.nagem.nt. © 2024

关键词： Fire detectors

来源：评论

学校读者我要写书评

暂无评论

The Future of EV: Real-Tim. Developm.nt of an Intelligent Wireless Charging System.for Electric Vehicles 1

The Future of EV: Real-Time Development of an Intelligent Wi...

引用

1st International Conference on Cognitive, Green and Ubiquitous Com.uting, IC-CGU 2024

作者： Rajalingam. A. Darwin Nesakum.r, A. Sathya, S. Krishnankutty, Jishor Erat Abid, Y. Pagunuran, Jubert R. College of Engineering and Technology University of Technology and Applied Sciences Engineering Department Shinas Oman R. M. K. Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Department of VLSI Microelectronics Tamil Nadu Chennai India

ISBN: (纸本)9798350361780

The world is always on the lookout for new ways to put technology to use, and it is changing at a rate no one has ever seen before. For decades, the car industry has done nothing to alter. The advent of electric vehicles, which run on electricity rather than fossil fuels, was the big breakthrough. There have been m.ny investigations and appreciated structures as well as outcom.s for wirelessly powering electric autom.biles, both passively and rapidly. This m.ght result in a m.re rapid acceptance of electric vehicles globally, as it is an em.rging technology in autom.tive m.nufacturing that has not yet been widely used. We cross-validated our Intelligent Wireless Charging System.(IWCS), a wireless power transm.ssion charging circuit for electric vehicles, with the Classical Charging System.(CCS) to assess the efficacy of the proposed m.del. To solve the problem.of battery overheating during charging while plugged in, as well as to extend the vehicle's battery life, the suggested m.del is em.loyed. Batteries tem.erature handling is the prim.ry concern for EVs due to the increased heat losses while plugged-in charging, which in turn reduces the battery's lifespan. Currently, electric cars m.stly em.loy water-cooled system. to cool the battery, which isn't ideal for EVs due to the added size and weight. Air cooling is another option for cooling system.;it's already used in internal com.ustion engines but isn't very effective in electric vehicles since charging the battery produces too m.ch heat. There is a considerable decrease in therm.l output when we em.loy wireless charging technology. The proposed system.s prim.ry objective is to provide wireless power transfer using inductive coupling as its basis. © 2024 IEEE.

关键词： Energy transfer

来源：评论

学校读者我要写书评

暂无评论

An Effective Approach for Im.ge Denoising Using Wavelet Transform.Involving Deep Learning techniques 4

An Effective Approach for Image Denoising Using Wavelet Tran...

引用

4th International Conference on Sm.rt Electronics and Com.unication, ICOSEC 2023

作者： Shukla, Abhay Seethalakshm., K. Hem., P. m.sale, Jitendra Chandrakant Axis Institute of Technology and Management Department of Computer Science and Engineering Uttar Pradesh Kanpur208024 India Vel Tech Rangarajan Dr. Sagunthala R and D Institute of Science and Technology Department Computer Science and Engineering Tamilnadu Chennai62 India R.M.K. College of Engineering and Technology Department of Mathematics Tamil Nadu Thiruvallur601206 India Shri Jagdishprasad Jhabarmal Tibrewala University University in Jhunjhunu Department of Computer Science and Engineering Rajasthan India

ISBN: (纸本)9798350300888

In contem.orary years, im.ge denoising has developed as an im.ortant investigation topic in the arena of im.ge processing due to the increasing dem.nd for high-quality im.ges. Deep learning approaches have recently dem.nstrated outstanding results in a variety of im.ge processing applications. In this research, a wavelet transform.and deep learning-based m.thod is suggested for im.ge denoising. To successfully rem.ve noise from.an im.ge, the suggested m.thod is based on a hybrid network that com.ines wavelet transform.with convolutional neural networks (CNNs). The suggested m.thod is divided into two steps, one based on wavelet transform. and the other on deep learning. The input im.ge is divided into wavelet coefficients at various scales and orientations in the wavelet transform.based stage. The noise is subsequently filtered out of the wavelet coefficients using a thresholding m.thod. A CNN is taught to acquire the plotting am.ng the noisy im.ge and the denoised im.ge during the deep learning-based step. The experim.ntal results show that, in term. of both quantitative m.trics and visual quality of the denoised im.ges, the suggested strategy outperform. a num.er of state-of-the-art im.ge denoising m.thods. The suggested m.thod is also independent of the prior knowledge of the noise statistics and resilient to various types of noise. Overall, the suggested m.thod successfully tackles im.ge denoising by fusing the com.ensations of deep learning and wavelet transform. The suggested m.thod could be used for a variety of computer vision applications that call for high-quality im.ge denoising. © 2023 IEEE.

关键词： Im.ge denoising

来源：评论

学校读者我要写书评

暂无评论

Experim.ntal Evaluation of a Secured Phrase Searching m.del Using Cipher Principles Over Cloud Com.uting Platform

Experimental Evaluation of a Secured Phrase Searching Model ...

引用

2024 International Conference on Intelligent System. for Cybersecurity, ISCS 2024

作者： Geetha, R. Param.shwari, m. Kanniga Praveena, V. Venkatesan, T. Sindhu, m. Bhuvana, S. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Rmk Engineering College Department of Information Technology Tamil Nadu Chennai India Tamil Nadu Chennai India R. M. D. Engineering College Department of Mathematics Tamil Nadu Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India Sriram Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350375237

For m.ny cloud-based IoT device learning applications, including sensible clinical data analytics, phrase search - which allows retrieval of files containing a given term.- plays a crucial role. In order to prevent sensitive inform.tion from.being exposed by third-party providers, data owners typically encrypt files (such as m.dical records) before sending them.to the cloud. Having said that, this does m.ke the search operation quite challenging and current searchable encryption system. for m.ltiple keyword searches can't do word searches because they can't determ.ne the location connection of m.ltiple key phrases in a query word using encrypted data stored on the cloud server side. This study presents a m.del called m.LPS, which stands for 'm.dified Cyber Law for Phrase Searching.' Its purpose is to identify specific phrases in a cloud environm.nt. To test how well the m.del works, it is cross-validated with the traditional BET. The safety of inform.tion in the cloud has long been an im.ortant concern for cloud service providers and their clients, despite the fact that there are several elem.nts that could affect data security during searches. The reason behind this is the presence of dangers posed by both external data sources and internal partners, nam.ly, their em.loyees. Therefore, due to its m.ssive structure, m.intaining this security perfect is an ongoing headache and difficult effort in the cloud. In m.st cases, this is achieved by encrypting data at all tim.s and taking extra precautions to ensure that data is not com.rom.sed during the audition or any other internal exercises. For safe phrase search in cloud IoT, this study suggested the m.LPS m.del and the BET encryption technique. The data integration, recovery, indexing, sliding, encryption, decryption, and transfer processes are all encom.assed in the suggested works. This proposed study introduces a new approach to encrypted searching that allows encrypted phrase searches, and the m.LPS ad BET proced

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

Delving into the Intricacies and Nuances of m.dern Nested Network System. 7th

Delving into the Intricacies and Nuances of Modern Nested Ne...

引用

7th International Conference on Com.unication, Device and Networking, ICCDN 2024

作者： m.shra, Am.a Saikia, Ankur Pan Krishnam.orthy, Ram.um.r Patel, Warish Department of IT and M.Tech Integrated Noida Institute of Engineering and Technology Uttar Pradesh Greater Noida India Department of Computer Technology Assam Down Town University Assam Guwahati India Tiergartenstr. 17 Heidelberg69121 Germany Karnataka Bangalore India Faculty of Engineering and Technology Department of Computer Science and Engineering Parul Institute of Engineering and Technology Parul University Gujarat Vadodara India

ISBN: (纸本)9789819753369

The paper "Delving into the Intricacies and Nuances of m.dern Nested Network System." investigates a novel approach to solving the problem. inherent in today’s nested network system.. The suggested technique is an all-encom.assing strategy for dealing with such com.lex system. that m.kes use of Breadth-First Search (BFS), Genetic Algorithm. (GAs), and Deep Neural Networks (DNNs). The purpose of this research is to com.are the suggested m.thod to six current practices. The scalability, latency, security, load balancing, fault tolerance, energy efficiency, and quality of service of the network, am.ng others, will all be evaluated as part of this strategy. Using these m.asures, the suggested technique is com.ared to the state of the art, with num.rical results dem.nstrating its superiority. The use of four distinct kinds of diagram. to display the com.arisons further em.hasizes the better perform.nce of the suggested approach. The suggested approach is the best option for dealing with the com.lexity of contem.orary m.ltilayer network topologies, as it enhances perform.nce in a broad range of ways. In order to m.et the ever-evolving problem. presented by such networks, the results highlight the need of adaptive optim.zation, autom.tion, and cutting-edge learning m.thods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共229页 << < 27 28 29 30 31 32 33 34 35 36 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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

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：