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

7,956 篇 会议
81 篇 期刊文献
77 册 图书

馆藏范围

8,114 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,054 篇 工学
- 3,914 篇 计算机科学与技术...
- 2,388 篇 信息与通信工程
- 1,802 篇 软件工程
- 1,358 篇 电气工程
- 633 篇 控制科学与工程
- 418 篇 动力工程及工程热...
- 372 篇 电子科学与技术（可...
- 314 篇 生物工程
- 222 篇 生物医学工程（可授...
- 209 篇 仪器科学与技术
- 205 篇 机械工程
- 173 篇 测绘科学与技术
- 167 篇 光学工程
- 126 篇 化学工程与技术
- 120 篇 材料科学与工程（可...
- 95 篇 建筑学
- 88 篇 土木工程
- 85 篇 石油与天然气工程
- 85 篇 安全科学与工程
1,380 篇 理学
- 634 篇 数学
- 413 篇 物理学
- 360 篇 生物学
- 213 篇 统计学（可授理学、...
- 138 篇 化学
- 121 篇 系统科学
686 篇 管理学
- 395 篇 管理科学与工程(可...
- 307 篇 图书情报与档案管...
- 149 篇 工商管理
239 篇 医学
- 210 篇 临床医学
- 132 篇 基础医学(可授医学...
84 篇 法学
82 篇 农学
57 篇 经济学
23 篇 军事学
22 篇 教育学
15 篇 文学
1 篇 哲学

主题

1,596 篇 wireless sensor ...
501 篇 neural networks
328 篇 wireless communi...
303 篇 convolutional ne...
254 篇 deep learning
238 篇 sensor nodes
222 篇 routing
217 篇 feature extracti...
185 篇 monitoring
179 篇 image processing
178 篇 signal processin...
172 篇 wireless sensor ...
168 篇 energy consumpti...
166 篇 sensor networks
163 篇 sensors
158 篇 accuracy
149 篇 sensor systems
147 篇 real-time system...
142 篇 protocols
139 篇 routing protocol...

机构

15 篇 chitkara univers...
10 篇 univ chinese aca...
10 篇 school of inform...
10 篇 beijing universi...
10 篇 gla university m...
9 篇 south china univ...
9 篇 university of ch...
9 篇 beijing institut...
8 篇 department of co...
8 篇 department of el...
7 篇 school of inform...
7 篇 chinese academy ...
6 篇 univ wisconsin d...
6 篇 karnataka bangal...
6 篇 computer network...
6 篇 shanghai jiao to...
6 篇 school of comput...
6 篇 school of electr...
6 篇 amrita vishwa vi...
6 篇 shihezi universi...

作者

12 篇 wang wei
11 篇 chen chen
9 篇 liu yang
9 篇 li qiang
8 篇 zhang tao
8 篇 wang lei
7 篇 wei liu
7 篇 liu wei
7 篇 cao jiannong
6 篇 badache nadjib
6 篇 jiao licheng
6 篇 wei wang
5 篇 zhou jie
5 篇 li xin
5 篇 hui wang
5 篇 pitchaimanickam ...
5 篇 soman k. p.
5 篇 liu ying
5 篇 zhang sheng
5 篇 qiang li

语言

7,951 篇 英文
153 篇 其他
18 篇 中文
1 篇 俄文

检索条件"任意字段=5th International Conference on Informational Processing in Sensor Networks"

共 8114 条记录，以下是171-180 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：

A Survey on Intelligent Attack Mitigation and Latency Optimization in High-Speed Edge networks using Deep Learning and Bio-Inspired Algorithms

A Survey on Intelligent Attack Mitigation and Latency Optimi...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： Gandham Kiran Kumar M. thirumaran Department of Computer Science and Engineering Puducherry Technological University Puducherry India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

As the Internet connected devices and cyber– physical systems (CPS) are exponentially increasing, edge computing has become a crucial enabler to support real time processing in high-speed networks (HSNs). However, integrating edge computing into broadband infrastructure is a challenging problem and that includes mitigating security risks such as DDoS and time-delay attacks and keeping ultra-low latency. Explored for this survey are some recent technologies on how to detect attacks and optimize latency on the edge, focusing on forms of deep learning and bioinspired approaches. It analyzes the lack of effectiveness in traditional mitigation strategies and represents new means, based on the use of ensemble learning, dimensionality reduction and hybrid models. Distributed edge infrastructures are specially emphasized on real time implementation, computational overhead and security. this paper attempts to contribute valuable insight for researchers developing robust, scalable, and intelligent edge-based solutions in high-speed networking environments by consolidating recent methodologies and their outcomes.

关键词： Surveys Deep learning High-speed networks Image edge detection Prevention and mitigation Focusing Real-time systems Security Optimization Edge computing

来源：评论

学校读者我要写书评

暂无评论

Unleashing Agricultural Precision: A Deep Learning Paradigm for Papaya (Carica Papaya L.) Variety Discrimination and Yield Optimization 5th

Unleashing Agricultural Precision: A Deep Learning Paradigm ...

引用

5th international conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, ICMISC 2024

作者： Ratha, Ashoka Kumar Barpanda, Nalini Kanta Sethy, Prabira Kumar Behera, Santi Kumari Department of Electronics Sambalpur University Odisha Burla768019 India Department of Computer Science and Engineering VSSUT Burla768018 India

ISBN: (纸本)9789819788606

the categorization of papaya fruit varieties is important within the agricultural industry. there is a need for a system that can accurately evaluate the different varieties of papaya fruits to save labor expenses associated with discarding specific types of papaya fruits throughout the packaging and distribution process. the present work introduces a novel approach for the categorization of papaya fruit varieties with the aim of enhancing efficiency and accuracy. the proposed method comprises a series of interconnected steps. Once the data on papaya fruits are collected, they undergo preprocessing techniques, such as color uniformization, image scaling, augmentation, and image labelling. Subsequently, the AlexNet architecture was employed, incorporating 08 layers, comprising 05 conv layers and 03 fully connected layers. Simultaneously, the process of transfer learning and fine-tuning of the convolutional neural network was executed. During the concluding phase, a SoftMax classifier was employed to perform the ultimate classification. Detailed simulations were conducted using self-generated datasets. the proposed model demonstrated the highest classification accuracy of 98.0%. Furthermore, our developed model exhibits computational efficiency with an average processing time of 8 ms to generate the ultimate classification outcome. the obtained results enhance the comprehensibility and reliability of convolutional neural network (CNN) models, thereby offering valuable insights for the prospective utilization of deep learning techniques in agricultural fields. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

GPT-3-Based AI Cover Letter Generator: A Feasibility Study & Implementation 5th

GPT-3-Based AI Cover Letter Generator: A Feasibility Study ...

引用

5th international conference on Recent Trends in Machine Learning, IoT, Smart Cities, and Applications, ICMISC 2024

作者： Bloch, Tarannum Alimahmad Inusa, Ibrahim Marwadi University Gujarat Rajkot360003 India Universiti Tenaga Nasional Selangor Kajang43000 Malaysia

ISBN: (纸本)9789819788606

Natural Language processing (NLP) is the emerging field research studies of the interaction between human and computing systems. With advancement of NLP techniques, machines are becoming increasingly proficient in understanding, generating, and manipulating natural language. this study conducts in depth analysis on using the advanced natural language processing systems using Generative Pre-trained Transformer 3 (GPT-3) in AI cover letter generator, additionally;the paper discusses the ethical implications of using GPT-3-based AI cover letter generators in the job application process, as well as the potential benefits and drawbacks of using GPT-3-based AI cover letter generators for job applicants. the objective of this research paper is to assess the potential effects of incorporating GPT-3 in AI cover letter generation as well as any ethical issues that may arise. therefore we used research methodology that combines both methods: qualitative and quantitative research methods. the study was carried out in two phases. In the early phase, a qualitative content analysis was performed to examine the ethical implications of using GPT-3-based AI cover letter generators in the job application process and also highlight the potential benefits and drawbacks of using GPT-3-based AI cover letter generators for job applicants. In the second phase, a survey was conducted to generate various cover letters using GPT-3-based cover letter generators with a small sample size of data. To provide data to support that explore incorrect information that may occur when using a GPT-3-based cover letter generator, particularly if the company’s culture is not provided in the prompt. the information in this paper will help researchers better understand how artificial intelligence is used in the hiring process and potential effects it might have. the paper provides an introduction to cover letters and their importance in job applications, as well as an overview of natural language processing,

关键词： Natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

Fire Extinguishing Robot using IoT

Fire Extinguishing Robot using IoT

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： S. Kausalya Gowtham C T Dhanam Baalaajee S P Kishore M Department of Electronics and Communication Engineering K.S.Rangasamy College of Technology Tiruchengode India Department of Electronic and Communication Engineering K S Rangasamy College of Technology Tiruchengode India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

this project aims to design and develop an autonomous robot that can detect and extinguish fires in real time. the system integrates an ESP32 microcontroller as the central processing unit an ESP32-CAM module for video streaming and advanced fire detection, and multiple sensors including a flame sensor for fire detection and an ultrasonic sensor for obstacle avoidance. A servo motor and water pump are employed for directional control and water pump are employed for directional control and water dispensing, respectively. the robot operates by continuously scanning its environment using the flame sensor. Upon detecting a fire, the system activates the water pump and adjusts the servo motor to aim the water jet at the flame. the ultrasonic sensor ensures that the robot can navigate around obstacles and reach the target efficiently. the ESP32-CAM adds an optional layer of functionality by providing live video feed for remote monitoring or enabling image -based fire detection through AI models. this compact, cost-effective, and versatile system is designed to enhance fire safety in residential, industrial, and commercial settings by providing rapid response and reducing human intervention in hazardous situations.

关键词： Wildfires Service robots Streaming media Robot sensing systems Water pumps sensor systems sensors Servomotors Robots Fire safety

来源：评论

学校读者我要写书评

暂无评论

Path Optimization Method Under UAV Charging Scheduling Network 24th

Path Optimization Method Under UAV Charging Scheduling Netwo...

引用

24th international conference on Algorithms and Architectures for Parallel processing, ICA3PP 2024

作者： Yang, Tingting Wang, Yiqian Zhu, Jie Chang, Shuyu Huang, Haiping Nanjing University of Posts and Telecommunications Nanjing210003 China State Key Laboratory Chinese of Computer Architecture Institute of Computing Technology Academy of Sciences Beijing100864 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing210003 China

ISBN: (纸本)9789819615278

Unmanned Aerial Vehicles (UAVs) have emerged as integral components in logistics systems, where their potential for efficient delivery services is being explored. However, the limited battery capacity of UAVs poses a significant challenge for long-distance delivery applications. In this paper, we investigate a hybrid problem involving UAV trajectory planning and charging scheduling for long-distance logistics systems with a charging network. In the problem under study, multiple UAVs are assigned long-distance delivery tasks. A UAV can stop at any charging station in the charging network to charge if it is in a low-energy state. An Ant Colony Optimization-based UAV Trajectory Planning and Charging Scheduling (ACO-TPCS) algorithm is proposed to minimize task completion time by optimizing UAV trajectory and charging plans. the main framework of the ACO-TPCS algorithm consists of several key components, including reachable graph construction, candidate flight path generation, pheromone matrix construction, ant generation, feasible solution generation, and pheromone update method. All these components are delicately designed. through extensive experimentation and comparison with baseline algorithms, we demonstrate the effectiveness of the ACO-TPCS algorithm in addressing the problem under study. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Ant colony optimization

来源：评论

学校读者我要写书评

暂无评论

5th international conference on Neural Computing for Advanced Applications, NCAA 2024

5th International Conference on Neural Computing for Advance...

引用

5th international conference on Neural Computing for Advanced Applications, NCAA 2024

ISBN: (纸本)9789819770038

the proceedings contain 89 papers. the special focus in this conference is on Neural Computing for Advanced Applications. the topics include: Online Car-Hailing Order Matching Method Based on Demand Clustering and Reinforcement Learning;Multi-objective Optimization of Antenna Based on Improved WOA-BP Neural Network;A Multi-mechanism Collaborative Seagull Optimization Algorithm for Optimizing BP Neural Network Classification Model;an Analysis on Balance Model of Exploration and Exploitation Under Decoupled-Learning Pattern for Large-Scale Particle Swarm Optimizers;marine Ship Detection Under Fog Conditions Based on an Improved Deep-Learning Approach;skeleton-Based Point Cloud Sampling and Its Facilitation to Classification;multi-agent Reinforcement Learning for Taxi-Fleet Cruising Strategy in Ride-Hailing Services;a New Indoor Occupancy Detection Model by Integrating the Efficient Multi-scale Attention Mechanism into the EfficientDet Model;a Novel Automatic Generation Method for Neural Network by Using Iterative Function System;a Predictive Maintenance Platform for a Conveyor Motor sensor System Using Recurrent Neural networks;A Deep Learning-Based Method Facilitates scRNA-seq Cell Type Identification;adaptive Hierarchical Clustering Based Student Group Exercise Recommendation via Multi-objective Evolutionary Method;Quantile Regression and GCN Ensembled Hybrid Interval Forecasting Model for Wind Power Generation;efficient Path Planning for Large-Scale Vehicular networks via Multi-agent Mean Field Reinforcement Learning;a Fast and Accurate Reconstruction Method for Boiler Temperature Field Based on Inverse Distance Weight and Long Short-Term Memory;RoBERTa-wwm-CBA: A Mental Disease Identification Model Based on RoBERTa-wwm and Hybrid Neural networks;3D Pose Estimation of Markerless Fish on Deep Learning;safety Helmet-Wearing Detection Method Fusing Pose Estimation;Clothes Image Retrieval via Learnable FashionCLIP;mannequin2Real+: A Two-Stage Framework for Generating P

关键词：

来源：评论

学校读者我要写书评

暂无评论

MXene-Integrated Wearable sensors for Continuous Bio-Signal Detection and Wireless Health Monitoring

MXene-Integrated Wearable Sensors for Continuous Bio-Signal ...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： Senthil G.A Geerthik S Karthikeyan S Jagadeesh D Department of Information Technology Agni College of Technology Chennai India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

MXenes a class of two-dimensional (2D) nanomaterials, exhibit exceptional properties, including high electrical conductivity, flexibility, and surface functionalization, making them ideal for biosensing applications. the research paper focuses on developing a flexible wireless system that monitors and records bio signals generated by human motion, utilizing MXene-based sensors. the integration of MXenes enhances sensor performance, providing superior signal resolution, sensitivity, and stability. the proposed system is lightweight, biocompatible, and designed for wearable health monitoring, capturing signals such as heart rate, muscle activity, and joint movement. the MXene sensors, integrated into flexible substrates, detect mechanical deformations caused by body movements and convert them into electrical signals. A microcontroller processes these signals and transmits them wirelessly to a cloud server or mobile application using Wi-Fi, enabling real-time monitoring and data storage. this system offers significant advantages in personalized healthcare by ensuring continuous, real-time monitoring without restricting user movement. the development of MXene-based wearable systems paves the way for innovative, cost-effective solutions in health monitoring, rehabilitation, and fitness applications, improving accessibility through low-cost fabrication and enhancing the quality of healthcare services.

关键词： Wireless communication Mechanical sensors Wireless sensor networks Nanomaterials sensor systems Real-time systems Biosensors Biomedical monitoring Monitoring Wearable sensors

来源：评论

学校读者我要写书评

暂无评论

5th international conference on Neural Computing for Advanced Applications, NCAA 2024

5th International Conference on Neural Computing for Advance...

引用

5th international conference on Neural Computing for Advanced Applications, NCAA 2024

ISBN: (纸本)9789819770007

关键词：

来源：评论

学校读者我要写书评

暂无评论

5th international conference on Neural Computing for Advanced Applications, NCAA 2024

5th International Conference on Neural Computing for Advance...

引用

5th international conference on Neural Computing for Advanced Applications, NCAA 2024

ISBN: (纸本)9789819770069

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Smart IoT-Enabled Wildfire Monitoring and Early Detection System using Convolutional Neural networks and sensor Data Analysis

A Smart IoT-Enabled Wildfire Monitoring and Early Detection ...

引用

Trends in Material Science and Inventive Materials (ICTMIM), international conference on

作者： U.V. Anbazhagu A. Alice Blessie R. Santhana Krishnan G. Yamini J. Relin Francis Raj P. Sundaravadivel Department of Computing Technologies School of Computing College of Engineering and Technology Faculty of Engineering and Technology SRM Institute of Science and Technology Chennai India Department of Electronics and Communication Engineering Government College of Engineering Tirunelveli India Department of Electronics and Communication Engineering SCAD College of Engineering and Technology Cheranmhadevi India Department of English Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of Electronics and Communication Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Department of Artificial Intelligence and Machine Learning Saveetha Engineering College Chennai India

ISBN: (数字)9798331501488

ISBN: (纸本)9798331501495

Wildfires pose a significant threat to ecosystems, biodiversity, and human settlements, with climate change and deforestation exacerbating the frequency and intensity. Conventional forest fire detection methods, including satellite-based monitoring and ground surveillance, suffer from limitations such as delayed detection, high false alarm rates, and dependency on manual intervention. Existing sensor-based detection systems often lack integration with intelligent decision-making frameworks, leading to inefficient fire prevention strategies. the absence of real-time processing and predictive capabilities further reduces the effectiveness of current methodologies in mitigating wildfire risks. this work presents an IoT-based deep learning approach utilizing Convolutional Neural networks (CNNs) for real-time forest fire detection and prevention. Data is collected from satellite images, drone feeds, and IoT sensors, including temperature, humidity, gas concentration, and infrared readings. Advanced data preprocessing techniques, including image augmentation, normalization, and feature extraction, enhance the robustness of the model. A CNN-based classification model is implemented to analyze fire patterns and assess risk levels. the system is trained using sensor data and image datasets, ensuring high detection accuracy with minimal false positives. the key features of this methodology include real-time wildfire detection, automated risk assessment, and deployment on IoT edge devices for immediate decision-making. the integration of sensor-driven insights with deep learning improves early detection capabilities while reducing reliance on manual surveillance. Efficient data handling and cloud-based alert mechanisms enable proactive measures against fire outbreaks. the proposed system enhances wildfire monitoring by ensuring fast response times, improved accuracy, and scalable deployment in fire-prone regions.

关键词： Deep learning Wildfires Accuracy Prevention and mitigation Surveillance Decision making Manuals Real-time systems Satellite images Time factors Climate change Fires Detection algorithms

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500页 << < 14 15 16 17 18 19 20 21 22 23 > >>

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：