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

1,218 篇 会议
36 篇 期刊文献

馆藏范围

1,254 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

642 篇 工学
- 551 篇 计算机科学与技术...
- 456 篇 软件工程
- 225 篇 信息与通信工程
- 126 篇 控制科学与工程
- 96 篇 电气工程
- 94 篇 生物工程
- 90 篇 生物医学工程（可授...
- 73 篇 电子科学与技术（可...
- 69 篇 网络空间安全
- 53 篇 光学工程
- 46 篇 安全科学与工程
- 34 篇 仪器科学与技术
- 32 篇 机械工程
- 30 篇 动力工程及工程热...
- 29 篇 化学工程与技术
- 27 篇 交通运输工程
368 篇 理学
- 226 篇 数学
- 114 篇 统计学（可授理学、...
- 102 篇 生物学
- 54 篇 物理学
- 33 篇 化学
- 29 篇 系统科学
242 篇 管理学
- 167 篇 管理科学与工程(可...
- 97 篇 图书情报与档案管...
- 55 篇 工商管理
85 篇 医学
- 80 篇 基础医学(可授医学...
- 79 篇 临床医学
- 43 篇 公共卫生与预防医...
- 43 篇 药学(可授医学、理...
39 篇 法学
- 36 篇 社会学
25 篇 经济学
21 篇 农学
7 篇 教育学
3 篇 军事学

主题

177 篇 feature extracti...
165 篇 accuracy
113 篇 convolutional ne...
79 篇 deep learning
60 篇 optimization
55 篇 support vector m...
54 篇 computational mo...
51 篇 internet of thin...
51 篇 predictive model...
38 篇 real-time system...
38 篇 data models
36 篇 long short term ...
35 篇 training
33 篇 machine learning
31 篇 classification a...
26 篇 visualization
26 篇 security
25 篇 prediction algor...
25 篇 measurement
25 篇 adaptation model...

机构

211 篇 department of co...
139 篇 department of el...
117 篇 the islamic univ...
98 篇 nitte meenakshi ...
87 篇 school of comput...
82 篇 the islamic univ...
58 篇 sr university sc...
53 篇 college of techn...
44 篇 school of comput...
40 篇 department of co...
36 篇 department of ec...
33 篇 nitte meenakshi ...
33 篇 nitte meenakshi ...
31 篇 nitte meenakshi ...
29 篇 department of ar...
28 篇 school of comput...
26 篇 east west instit...
26 篇 department of co...
26 篇 sr university sc...
25 篇 department of co...

作者

74 篇 piyush kumar par...
73 篇 pareek piyush ku...
24 篇 ramachandra a.c.
23 篇 muntather almusa...
23 篇 almusawi muntath...
22 篇 ramachandra a c
21 篇 parameshachari b...
20 篇 myasar mundher a...
20 篇 srinivas aluvala
20 篇 aluvala srinivas
19 篇 al-jawahry hassa...
18 篇 alabdeli haider
18 篇 hassan m. al-jaw...
18 篇 adnan myasar mun...
18 篇 haider alabdeli
17 篇 mohammed i. habe...
16 篇 mohammed al-faro...
16 篇 nalini n.
15 篇 sundaram s. meen...
15 篇 alzubaidi laith ...

语言

901 篇 英文
352 篇 其他
2 篇 中文

检索条件"机构=Computer Science and Engineering Nitte Meenakshi Intitute of Technology"

共 1254 条记录，以下是741-750 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：

Vortex Search Optimizer based Hybrid Watermarking Scheme for Securing the Medical Images

Vortex Search Optimizer based Hybrid Watermarking Scheme for...

引用

Mysore Sub Section International Conference (MysuruCon), IEEE

作者： G N Keshava Murthy Nalini B M Madhura G K Nayana S Department of Electronics and Instrumentation Engineering Siddaganga Institute of Technology Tumakuru Karnataka Department of Computer Science and Engineering East West Institute of Technology Bengaluru Artificial Intelligence and Machine Learning Nitte Meenakshi Institute of Technology Bengaluru

Preventing the duplication, modification, and claim of unauthorised ownership of digital content is one of the major issues caused by the growing use of computer capabilities. Watermarking is one way to put a visible or invisible watermark on a digital document in order to later show that the document is legitimate or belongs to its owner. concentrating on security issues in the storage and broadcast of images in the medical info scheme, as well as the special requirements for medical images for the protection of lesion regions. In this study, a hybrid watermarking strategy was presented utilising the Slantlet transform, randomised singular value decomposition, and optimisation methods (Vortex Search algorithm (VSA)) that are modelled after natural processes. The XOR encryption method is used to encrypt the watermark image. Extensive testing demonstrates that our novel approach works better than the current approaches based on the NC, SSIM, and PSNR. The PSNR of the suggested technique is between 58 and 59 dB, suggesting increased performance, and at a scale factor of 0.06, the SSIM and NC standards of the watermarked picture and the extracted watermark are nearly equal to. The recommended method outperforms past studies in the field in terms of usability, robustness, security, and invisibility, as well as its ability to repel local nonlinear geometric attacks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Scheduling the Tasks in Cloud Computing using Adaptive Adjustment in Whale Optimization Algorithm

Scheduling the Tasks in Cloud Computing using Adaptive Adjus...

引用

Data science and Information System (ICDSIS), IEEE International Conference on

作者： Piyush Kumar Pareek G D Nithyashree S A Rajashekhar Pankaj Zanke K S Navyashree Artificial Intelligence and Machine Learning Nitte Meenakshi Institute of Technology Bengaluru India Department of Computer Science and Engineering East West Institute of Technology Bengaluru India Senior Technical Business Analyst Sapiens International Corporation USA

ISBN: (数字)9798350381665

ISBN: (纸本)9798350381672

One of the most popular infrastructures for employing virtual machines, also known as processing units, is cloud computing. Task scheduling is fundamental problems of cloud computing. A number of methods to handle the nondeterministic polynomial-time (NP)-complete optimisation issue of choosing the best scheduling criteria in cloud computing have been proposed by academics in the past. An effective optimisation approach is suggested in this research, based on the whale optimisation algorithm (WOA), to address the common problems of solution algorithms, which include poor global optimisation ability, ease of sliding into local optimisation, and sluggish convergence speed. We provide an adaptive adjustment method that may dynamically alter search behaviour during the whale optimisation algorithm’s iterative operation. The technique described to further update the position of search individuals also uses the evolutionary approach of differential variation. The algorithm’s exploration and development capacities are then balanced, and a restart approach is included to keep the system from entering local optimisation. The approach simultaneously resolves the work planning issue in the situation of rain cloud processing. When compared to other algorithms, this technique uses more resources and converges more quickly. Additionally, the evaluation function seeks for the optimal answers by taking the makespan, resource cost, and load balancing level into account.

关键词： Cloud computing Scheduling algorithms Heuristic algorithms Scalability Whales Whale optimization algorithms Scheduling

来源：评论

学校读者我要写书评

暂无评论

SAHARA: A Cloud - based Remote Health - Vitals Monitoring System

SAHARA: A Cloud - based Remote Health - Vitals Monitoring Sy...

引用

International Conference on Networking, Embedded and Wireless Systems (ICNEWS)

作者： Arbind Kumar Gupta J. Nagaraja Chennagiri Rajarao Padma Mahesh Kumar N Roopa M. S Department of Computer Science and Engineering Dayananda Sagar College of Engineering Bengaluru India Department of Medical Electronics Engineering Dayananda Sagar College of Engineering Bengaluru India Department of Electronics and Communication and Engineering Dayananda Sagar College of Engineering Bengaluru India Department of Computer Science and Engineering Nitte Meenakshi Institute of Technology Bengaluru India

ISBN: (数字)9798350367461

ISBN: (纸本)9798350367478

The healthcare landscape in India, like in many countries, faces disparities between urban and rural areas. While major cities boast advanced medical infrastructure, rural regions struggle with limited healthcare access, insufficient doctor-to-patient ratios, and poor road connectivity. The COVID-19 pandemic has emphasized the importance of robust healthcare systems. This paper proposes a cost-effective telehealth system to bridge this urban-rural healthcare gap. This paper discusses the historical development of telehealth technology, highlighting its early phases, rapid development, and current technological maturity. It then presents a novel system model "Sahara", focusing on the integration of temperature and pulse sensors to record patient health vitals. The system utilizes portable devices equipped with sensors to collect patient health data, which is wirelessly transmitted to the cloud. Doctors and caregivers can access this data through a secure web interface for remote diagnosis and treatment. The system ensures a simple user interface, is independent of electricity, and provides a low-cost solution for aggregating patient data. By leveraging readily available technology, this system has the potential to significantly improve healthcare access in rural India. The paper also reviews the evolution of telehealth technologies, highlighting the challenges and opportunities in the field. The system transfers these physiological data to the cloud using a WiFi module and stores them in Amazon Web Services (AWS). The data is accessible to authorized doctors and caretakers through a web interface. The paper also describes the implementation details of the system, both from the front-end and back-end perspectives, including user registration, appointment scheduling, and data integration. Finally, it discusses the results of the system and its potential impact on rural healthcare in India, emphasizing the role of telemedicine in improving healthcare accessibility, redu

关键词： Temperature sensors COVID-19 Costs Pandemics Telemedicine Clouds Urban areas Medical services Sensor systems Sensors

来源：评论

学校读者我要写书评

暂无评论

Anomaly Detection in Network Traffic for Proactive Security Threat Identification Using Improved Gated Recurrent Unit 3

Anomaly Detection in Network Traffic for Proactive Security ...

引用

3rd International Conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Yarram, Srimaan Musnmusawi, Muntather Deepika, J. Nagarathna, P. Anandan College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Al Diwaniyah Iraq Sona College of Technology Department of Information Technology Salem India Nitte Meenakshi Institute of Technology Department of Computer Science Bengaluru India Dhanalakshmi Srinivasan College of Engineering Technology Department of Electronics and Communication Engineering Mamallapuram India

ISBN: (纸本)9798331508456

Anomaly detection in network traffic determines the unusual patterns which diverge from normal behavior by representing potential system faults and security threats. It assists in identifying cyberattacks, performance issue, and network intrusions through identifying traffic flow and deviations. Continuous monitoring makes rapid response and effective threat detection which reduces service disruption and damage. Existing network security faces challenged in detecting the anomalous traffic patterns which is caused by evolving cyberthreats leading to data breaches. Therefore, effective anomaly detection is essential to improve network security, ensure network stability, and prevent intrusion. Hence, this research proposes improved Gated Recurrent Unit (GRU) with feature extraction of sequential patterns and adaptive mechanism to detect the anomaly in network traffic effectively. Initially, the gathered data is normalized using min-max normalization to standardize the data and then one-hot encoding is applied for encoding the labels effectively. Then, the improved GRU is used to detect the anomaly in network traffic which enhance high security. The proposed improved GRU obtains a high accuracy compared to existing methods like U-Net based and Temporal convolutional network (TCN) using KDD99 and the CSE-CIC-IDS2018 datasets. © 2025 IEEE.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

A Wavelet Transform Algorithm based Detection and Classification of Sleep Apnea for Monitoring of Health

A Wavelet Transform Algorithm based Detection and Classifica...

引用

Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： Beena G Pillai Madhurya J A V Jeevan Babu A Siva Kumar Reddy Ayesha Siddiqua Department of Computer Science & Engineering GITAM School of Technology GITAM University India Department of Computer Science and Engineering Hyderabad Institute of Technology and Management Telangana India Department of Computer Science & Engineering K L University Vadeeshwaram Vijayawada India Department of Electronics and Communication Engineering Nitte Meenakshi Institute of Technology Bengaluru India

One-third of a person's life is spent sleeping, and this physiological phenomenon serves several purposes, such as restoring and maintaining normal brain metabolism, allowing the cardiovascular system to recharge, and restoring metabolic balance to the body's glucose supply. Sleep has intimate ties to physical restoration, hormone regulation, and immune system maintenance. During sleep, the body's metabolic rates shift from catabolism (the breakdown of tissues) to anabolism (the rebuilding of tissues). This state of mind is not a constant slumber but rather a dynamic internal structure with a periodic temporal progression. It was often believed that sleep was a non-active state, but modern research has shown that our brains are actually quite busy while we sleep. A multivariate Wavelet transform-based feature selection method has been used since different authors have advocated differing usefulness of different features from the time domain, the frequency domain, and nonlinear features in earlier work on sleep (SL) staging. This provided an optimal collection of 21 features that led to significantly better sleep stage classification performance than previous approaches. Once the signals in the time domain have been transformed into the time-frequency domain, the wavelet coherence coefficients can be calculated to determine the instantaneous respiration rate, and the instantaneous power of the individual signals, the common power, and the phase difference can be examined at the corresponding frequency component. The suggested method improves upon earlier approaches in terms of both event detection and categorization, as evidenced by the experiments.

关键词： Wavelet transforms Time-frequency analysis Wavelet domain Event detection Coherence Feature extraction Sleep apnea

来源：评论

学校读者我要写书评

暂无评论

Flexible Hybrid Electronics for Printing of Nano and Chip Scale Structures

Flexible Hybrid Electronics for Printing of Nano and Chip Sc...

引用

Advances in computer science, Electrical, Electronics, and Communication Technologies (CE2CT), International Conference on

作者： Neelima Singh Radha Gupta Rakesh Kumar Singh Shruthi T S Parbhat Gupta Abhinav Singhal Department of Computer Science and Engineering Uttaranchal University Dehradun India Department of Mathematics Dayananda Sagar College of Engineering Bangalore Computer Science & Engineering IIMT College of Engineering Greater Noida U.P. India Department of Mathematics Nitte Meenakshi Institute of Technology Bangalore Karnataka India SRM Institute of Science and Technology Delhi NCR Campus Modinagar Ghaziabad India Department of Computer Science and Engineering Tula's Institute Dehradun India

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

Adaptable sensors, circuits, and substrates are joined with unbending electronic parts to make adaptable flexible hybrid electronics (FHE). The printing of nanomaterials has benefits over the costly, multi-step, and blunder inclined cleanroom-based nano-microfabrication process, like expense adequacy, high-throughput, steadfastness, and adaptability. FHE usually consists of devices that range in size from nano to chip, and it might be difficult to integrate them using a standard procedure. The mix of ultrathin chips and nanowires (NWs) based electronic layers on a solitary substrate is shown here utilizing printed gadgets. The performance of the transistors on UTCs (ultrathin chips) is thoroughly studied in order to optimise the printing process. The adequacy of the printing system is affirmed by electrical information accumulated from 14 semiconductors on 3 unmistakable chips, which uncover next to no adjustment of execution following exchange printing. Building UV photodetectors utilizing DIW printing further exhibits the unrivaled grade nature of ZnO-NWs-put together electronic layers delivered with respect to a similar substrate.

关键词： Printing MOSFET Sensor phenomena and characterization Nanomaterials Nanoscale devices Nanowires Transistors Substrates Wearable sensors Standards

来源：评论

学校读者我要写书评

暂无评论

An Effective Trusted and Secure based Clustering and Routing using Improved Bat Optimization Algorithm

An Effective Trusted and Secure based Clustering and Routing...

引用

Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： Kassem Al-Attabi Srinivas Aluvala Sarangam Kodati Anu. D Swapna P The Islamic University Najaf Iraq School of Computer Science & Artificial Intelligence SR University Warangal India CVR College of Engineering Hyderabad TS India Department of AI & DS Nitte Meenakshi Institute of Technology Bengaluru India Department of Computer Science and Engineering Sree Dattha Institute of Engineering and Science Hyderabad India

Security measures contribute to the overall longevity of the Wireless Sensor Network (WSN) by preventing attacks that could lead to node compromise or depletion of energy resources. WSNs operate in dynamic environments, necessitating adaptable secure clustering algorithms that can effectively respond to frequent changes in network topology. In this work, we introduce the Improved Bat Optimization algorithm (IBOA) for secure clustering and routing in WSN. We subsequently apply the secure-based trust protocol to transmit data on the secured path. The fitness function is obtained by utilizing the well-defined limitations named energy, delay, security, as well as distance. The proposed method achieves better results and attains an energy consumption of 0.1 (J), an average delay of 0.1 sec, Packet Delivery Ratio (PDR) of 97.5%, and throughput of 80% at the number of nodes of 100 respectively when compared to existing methods such as Dempster-Shafer Theory-based Lion Optimization Algorithm clustering (DST-LOA) and Energy Competent Particle Swarm Optimization depending on the Passive Clustering Mechanism (ECPSO-PCM).

关键词：

来源：评论

学校读者我要写书评

暂无评论

Classification of Network Traffic by using Random Forest based Grid Search for Side-Channel Attacks Detection

Classification of Network Traffic by using Random Forest bas...

引用

Distributed Computing and Electrical Circuits and Electronics (ICDCECE), IEEE International Conference on

作者： S Aruna Zayd Ajzan Salami Sasikumar Gurumoorthy Yogesh Ramaswamy Debarshi Mazumder Department of Computational Intelligence School of Computing SRM Institute of Science and Technology Kattankulathur India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computer Science and Engineering School of Engineering and Technology Dhanalakshmi Srinivasan University Tiruchirappalli India Department of AI & DS Nitte Meenakshi Institute of Technology Bengaluru India

ISBN: (数字)9798331533663

ISBN: (纸本)9798331533670

In recent years, the smartphone-based Side-Channel Attacks (SCA) are common in this developing technological world. It exploits unintended information leakage such as extract sensitive information like PINs, passwords or keys, without hacking the device code directly. However, detecting SCAs was the most challenging task to provide potential security, so this research proposes a Random Forest (RF)-based Grid Search (GS) for SCAs detection. Initially, data is collected from Video Fingerprinting Encrypted Network Traces-SCA (VFENT-SCA) dataset which includes records and various variables related to network traffic during YouTube video streaming. Then, signal data is preprocessed with Butterworth Filter (BF) which removes noise and unwanted frequency components from the signals. Next, the features are extracted by using Discrete Wavelet Transform (DWT), which extracts frequency coefficient vectors that capture the underlying patterns in the network traffic. Finally, frequency coefficient vectors are fed into a RF classifier, which classifies network traffic patterns to detect SCAs and enhance the security. For improving the performance of RF, GS is utilized which is utilized for optimizes the hyperparameters. From the results, the proposed RF model achieved outstanding results when compared with existing K-Nearest Neighbors Deep Graph Neural Network (KNN+DeepGraphNet) method in terms of precision (0.95), Recall (0.96) and F1-score (0.96) respectively.

关键词： Video on demand High dimensional data Telecommunication traffic Side-channel attacks Transforms Feature extraction Vectors Discrete wavelet transforms Web sites Classification tree analysis

来源：评论

学校读者我要写书评

暂无评论

Anomaly Detection in Industrial Inspection Visual Systems using Swin Transformer with Bayesian Optimization

Anomaly Detection in Industrial Inspection Visual Systems us...

引用

Distributed Computing and Electrical Circuits and Electronics (ICDCECE), IEEE International Conference on

作者： Layth Hussein Ramesh Babu N Bhanu Sekhar Guttikonda K. Valarmathi Devara Vasavi Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Mechanical Engineering Nitte Meenakshi Institute of Technology Bangalore India Department of Information Technology S.A. Engineering College Chennai India Department of Computer Science and Engineering SRKR Engineering College Bhimavaram India

ISBN: (数字)9798331533663

ISBN: (纸本)9798331533670

In recent years, industrial visual inspection systems have become increasingly essential that recognize defects from normal patterns in images to ensure product quality and identify defective items in manufacturing systems. However, the existing Vision Transformer (ViT) failed to capture hierarchical feature representations and also faced high computation complexity. Therefore, to address these limitations, a Swin Transformer with Bayesian Optimization (Swin-Bo) is proposed for anomaly detection in industrial vision inspection system. Initially, the input data which consists of industrial defect images is collected from MVTec Anomaly Detection (AD) dataset. Next, these images are preprocessed using resizing to ensure standardize dimensions and normalized using min max normalization. Finally, these normalized images are fed to the Swin Transformer, which uses window-based attention mechanism for extraction of both local and global features. Therefore, the proposed Swin-Bo obtained better results in terms of Area Under the Receiver Operating Characteristic Curve (AUROC) and Per Region Overlap (PRO) by outperforming the existing ViT model.

关键词： Visualization Computational modeling Machine vision Inspection Transformers Feature extraction Bayes methods Anomaly detection Optimization Load modeling

来源：评论

学校读者我要写书评

暂无评论

Autoencoder-based Temporal Convolutional Network for Real-Time Anomaly Detection in Large-Scale Network Traffic

Autoencoder-based Temporal Convolutional Network for Real-Ti...

引用

Distributed Computing and Electrical Circuits and Electronics (ICDCECE), IEEE International Conference on

作者： Rana Veer Samara Sihman Bharattej R Raed Hamyd Mamatha Bai B G Sandeep Reddy Sasikumar Gurumoorthy Doctorate of Business Administration National Louis University FL USA Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computer Science and Engineering Nitte Meenakshi Institute of Technology Bengaluru India School of Computer Science and Engineering Malla Reddy Engineering College for Women (UGC-Autonomous) Hyderabad India Department of Computer Science and Engineering School of Engineering and Technology Dhanalakshmi Srinivasan University Tiruchirappalli India

ISBN: (数字)9798331533663

ISBN: (纸本)9798331533670

Nowadays, the rapid growth of network traffic has needed the development of efficient anomaly detection systems to ensure network security and reliability. However, the existing One-Class Support Vector Machine (One-class SVM) model often relay on manual feature engineering which was led to time-consuming and ineffective in detecting unknown threats. Hence, this research proposes an Autoencoder-based Temporal Convolutional Network (AE-TCN) for real-time anomaly detection in large-scale network traffic data. This process begins with the collection of input data from Coburg Intrusion Detection Data Set (CIDDS-001) dataset which consists of real time network traffic data from an internal server and external server. Then, the input data is preprocessed with the help of one-hot encoding to convert the categorical variables into numerical variables. After that, Recursive Feature Elimination (RFE) is employed to select the features namely class label, packets and type of attack by eliminating the irrelevant features from the input data. Finally, AE-TCN is introduced to identify the anomalies in large-scale network traffic data from reconstructed nominal patterns. From the results, the proposed AE-TCN achieved better results in terms of accuracy (99.98%), precision (99.95%), recall (99.26%), and F1 score (99.63%) respectively when compared to existing Convolutional Neural Network (CNN) model.

关键词： Support vector machines Autoencoders Telecommunication traffic Manuals Feature extraction Real-time systems Convolutional neural networks Servers Relays Anomaly detection

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126页 << < 71 72 73 74 75 76 77 78 79 80 > >>

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：