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

33,330 篇 会议
5,137 篇 期刊文献
271 册 图书

馆藏范围

38,738 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

23,831 篇 工学
- 17,230 篇 计算机科学与技术...
- 14,496 篇 软件工程
- 6,363 篇 信息与通信工程
- 3,832 篇 控制科学与工程
- 2,915 篇 电子科学与技术（可...
- 2,821 篇 电气工程
- 2,609 篇 生物工程
- 2,096 篇 生物医学工程（可授...
- 1,646 篇 光学工程
- 1,509 篇 机械工程
- 1,357 篇 仪器科学与技术
- 1,348 篇 动力工程及工程热...
- 1,105 篇 化学工程与技术
- 964 篇 安全科学与工程
- 798 篇 交通运输工程
12,119 篇 理学
- 6,500 篇 数学
- 3,289 篇 物理学
- 2,862 篇 生物学
- 2,166 篇 统计学（可授理学、...
- 1,491 篇 系统科学
- 1,175 篇 化学
6,226 篇 管理学
- 3,667 篇 管理科学与工程(可...
- 2,870 篇 图书情报与档案管...
- 1,985 篇 工商管理
1,822 篇 医学
- 1,564 篇 临床医学
- 1,459 篇 基础医学(可授医学...
- 945 篇 药学(可授医学、理...
- 785 篇 公共卫生与预防医...
1,182 篇 法学
- 965 篇 社会学
715 篇 经济学
- 715 篇 应用经济学
559 篇 农学
475 篇 教育学
184 篇 文学
92 篇 军事学
45 篇 艺术学
1 篇 哲学

主题

1,229 篇 accuracy
974 篇 feature extracti...
931 篇 computational mo...
839 篇 deep learning
782 篇 training
768 篇 computer science
629 篇 real-time system...
617 篇 machine learning
603 篇 support vector m...
528 篇 predictive model...
487 篇 internet of thin...
437 篇 convolutional ne...
415 篇 data models
366 篇 reliability
346 篇 computer archite...
340 篇 data mining
328 篇 optimization
306 篇 routing
304 篇 artificial intel...
303 篇 wireless sensor ...

机构

82 篇 north-west unive...
82 篇 institut univers...
80 篇 national centre ...
79 篇 infn sezione di ...
76 篇 infn sezione di ...
76 篇 institute of inf...
71 篇 tno technical sc...
66 篇 università di ca...
63 篇 université de st...
58 篇 dept. of informa...
56 篇 dept. of compute...
53 篇 nikhef national ...
53 篇 dept. of informa...
52 篇 school of automa...
52 篇 leiden universit...
51 篇 dept. of compute...
47 篇 dept. of compute...
43 篇 dept. of electri...
42 篇 infn lnf via enr...
42 篇 in2p3 lpc campus...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
81 篇 chen a.
81 篇 kalekin o.
79 篇 boumaaza j.
78 篇 díaz a.f.
78 篇 coleiro a.
70 篇 gozzini s.r.
68 篇 huang f.
61 篇 dallier r.
54 篇 anguita m.
51 篇 kulikovskiy v.
44 篇 del burgo r.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.

语言

37,337 篇 英文
962 篇 其他
337 篇 中文
54 篇 日文
47 篇 朝鲜文
2 篇 德文
1 篇 法文
1 篇 葡萄牙文
1 篇 斯洛文尼亚文

检索条件"机构=Dept of Computer Engineering and Computer Science"

共 38738 条记录，以下是4831-4840 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：

“Precision Agriculture Farming” Enhancing Farming Efficiency through Technology Integration

“Precision Agriculture Farming” Enhancing Farming Efficien...

引用

Advances in Computing, Communication and Networking (ICAC2N), International Conference on

作者： Prashant Sharma Pratyaksh Kumar Praveen Kumar Singh Arun Kumar Rana Dept. Of Computer Science And Engineering Galgotias College of Engineering And Technology Greater Noida India

ISBN: (数字)9798350356816

ISBN: (纸本)9798350356823

Precision agriculture, or precision farming, or smart farming, refers to a contemporary approach that combines technology and data analytics with agricultural practices. This research paper examines the concept of precision agriculture, its principles, advantages, disadvantages, and potential to transform farming practices. Through the use of various technologies including GPS, sensors, drones, and data analytics, precision agriculture seeks to maximize resource efficiency, enhance crop yields, reduce the environmental footprint, and boost overall profitability for the farm. The paper also addresses case studies and real-life implementations of precision agriculture and illustrates its effectiveness in various sectors of agriculture. It further identifies the challenges and constraints of adopting precision agriculture and proposes possible solutions to overcome these challenges. This paper generally offers insight into the revolutionary potential of precision agriculture in reshaping the future of farming.

关键词： Precision agriculture Training Data analysis Profitability Transforms Internet of Things Artificial intelligence Farming Global Positioning System Drones

来源：评论

学校读者我要写书评

暂无评论

Enhancing Indoor Navigation Efficiency with WiFi Signal Mapping

Enhancing Indoor Navigation Efficiency with WiFi Signal Mapp...

引用

International Conference on Computing and Networking Technology (ICCNT)

作者： N Sai Pranavdhara Reddy Gayathri Narayanan Aman Kumar Singh Geo Jolly Cheeramvelil U.S Sethulekshmi R Adithya Kumar Akshat Tripathi Dept. Of Computer Science and Engineering Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

In the contemporary digital landscape, efficient indoor navigation has become imperative for large, intricate spaces like shopping malls, airports, hospitals, and universities. Traditional GPS-based methods often prove inadequate in these indoor settings due to poor reception and a lack of fine-grained location accuracy. To address these challenges, the work employs WiFi signals, pervasive in modern buildings, and harnesses their ubiquity and reliability for sophisticated indoor navigation. The team developed a Python package for collecting WiFi signal details, implementing robust preprocessing to filter out private networks, and storing the data in a database. The core of the system lies in a machine learning ensemble consisting of Gaussian Bayes classifier, decision tree, and K-nearest neighbors (KNN). This ensemble utilizes WiFi signal strengths to predict users’ real-time positions within large indoor spaces. The system aims to enhance user experiences and simplify wayfinding in complex indoor environments.

关键词： Accuracy Indoor navigation Machine learning Nearest neighbor methods Rendering (computer graphics) Real-time systems Bayes methods Reliability Wireless fidelity Signal mapping

来源：评论

学校读者我要写书评

暂无评论

Predictive Analytics in Crime: A Machine Learning Approach

Predictive Analytics in Crime: A Machine Learning Approach

引用

Information Technology (OCIT), OITS International Conference on

作者： Goluguri NV Rajareddy Gondi Lakshmeeswari Prajna Paramita Pradhan Dept. of Computer Science & Engineering GITAM Deemed to be University Visakhapatnam India

ISBN: (数字)9798331510404

ISBN: (纸本)9798331510411

Traditional crime analysis methods are overwhelmed by the ever-growing volume and intricacies of crime data. This research addresses this challenge by proposing a novel system utilizing machine learning to analyze crime data in India. Focusing on “Serious Fraud - Cheating” and “Serious Fraud - Criminal Breach of Trust” across all states, the system tackles the limitations of manual analysis. By integrating k-means clustering and Decision Trees, the system efficiently processes and interprets complex data, achieving high accuracy and precision in identifying patterns. This paves the way for proactive policing strategies, empowering law enforcement to anticipate and prevent future crimes. As technology continues to reshape criminal activity, this system offers a valuable tool for law enforcement agencies to stay ahead of tech-savvy criminals by embracing cutting-edge analytical approaches.

关键词： Deep learning Machine learning algorithms Accuracy Law enforcement Predictive models Prediction algorithms Fraud Decision trees Predictive analytics Unsupervised learning

来源：评论

学校读者我要写书评

暂无评论

Voice Controlled Autonomous Vehicle: Execution on a Small Scale

Voice Controlled Autonomous Vehicle: Execution on a Small Sc...

引用

Data, Computation and Communication (ICDCC), International Conference on

作者： Jigisha Mourya Navya John Krishan Kumar Dept. of Computer Science Engineering Sharda University Greater Noida India

ISBN: (数字)9798331532956

ISBN: (纸本)9798331532963

This paper addresses the challenge of improving user interaction with autonomous vehicles by integrating voice command recognition with real-time visual feedback. The study employs Google's speech recognition Application Programming Interface to transcribe spoken commands and the turtle graphics library to simulate the corresponding vehicle actions. The system is designed to accurately recognize and process voice commands, translating them into visual simulations that mirror the intended vehicle movements. The research method involved testing the system with various commands to assess its performance and effectiveness. The findings suggest that this integrated approach has significant potential for enhancing the usability and accessibility of autonomous vehicle systems.

关键词： Visualization Accuracy Speech recognition Real-time systems Libraries Internet Reliability Usability Autonomous vehicles Testing

来源：评论

学校读者我要写书评

暂无评论

Augmenting Sentiments into Chat-GPT Using FacialEmotion Recognition

Augmenting Sentiments into Chat-GPT Using FacialEmotion Reco...

引用

International Conference on Advanced Computing and Communication Systems (ICACCS)

作者： Aditya A Iyer Saipranav Vojjala Andrew J Dept. of Computer Science and Engineering Manipal Institute of Technology Manipal India

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384376

This research initiative addresses the task of enhancing Chat Generative Pre-trained Transformer's (ChatGPT's) conversational capabilities by integrating the comprehension and response to user emotions conveyed through facial expressions. The central challenge lies in refining the AI system's proficiency to tailor responses according to users' detected emotional states. In this pursuit, our study adopts a comprehensive approach, aiming to seamlessly incorporate emotional intelligence into AI-driven interactions. To achieve this objective, the methodology involves integrating real-time sentiment analysis based on facial expressions into the ChatGPT framework. This is carried out through the utilization of a deep convolutional neural network (DCNN) architecture, designed to recognize and interpret various emotions exhibited in facial expressions. The primary goal is to enable ChatGPT to dynamically adjust its responses, fostering a more empathetic and contextually relevant interaction with users. In terms of evaluation metrics for facial expression recog- nition, our assessment employs a confusion matrix to quantify the model's performance across different emotional categories. Additionally, a heuristic approach is implemented, wherein the sum total probability of each detected emotion is calculated over the duration the user enters the prompt. These evaluation methodologies aim to provide a comprehensive understanding of the model's accuracy and effectiveness in discerning and responding to user emotions. Overall, this research contributes to the ongoing endeavor of imbuing AI systems with emotional intelligence, paving the way for more nuanced and human-like interactions.

关键词： Emotion recognition Sentiment analysis Face recognition computer architecture Chatbots Transformers Real-time systems User experience Convolutional neural networks Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

A Profound Review of AI-Driven Crime Detection in CCTV Videos

A Profound Review of AI-Driven Crime Detection in CCTV Video...

引用

Computational Intelligence and Communication Technologies (CCICT), International Conference on

作者： Rithya Pisati Rani Astya Priyanka Chauhan Dept of Computer Science and Engineering Sharda University Greater Noida UP India

ISBN: (数字)9798350374629

ISBN: (纸本)9798350374636

Closed Circuit Television (CCTV) surveillance systems are widely utilized in public and private areas in order to increase public safety, such as shopping malls, markets, banks, hospitals, universities, schools, streets, and residential apartments. The accuracy and time to detect and identify the crime and criminal are usually the major goals of security applications. However, because of varying environmental factors, the complexities of human activity, the ambiguous nature of the anomaly, and the absence of appropriate datasets, detecting video anomalies is challenging. This paper surveys the last five years, a comprehensive study of detecting crime from videos, and the recently used dataset. Moreover, a comparison study on different approaches has been performed, which are used for anomalies detection such as crime detection, theft, burglary, violence, street crime, shoplifting and unauthorized access. We have noticed that many deep learning algorithms has outperformed other methods in this field

关键词： Surveys Deep learning TV Reviews Hospitals Surveillance Public security

来源：评论

学校读者我要写书评

暂无评论

VGGAE-Net: A Two Stream Ensemble CNN for Diabetes Retinopathy Classification

VGGAE-Net: A Two Stream Ensemble CNN for Diabetes Retinopath...

引用

Intelligent Technologies (CONIT), International Conference on

作者： Shashank Girepunje Pradeep Singh dept. of Computer Science and Engineering National Institute of technology Raipur India

ISBN: (数字)9798350349900

ISBN: (纸本)9798350349917

Diabetic retinopathy is a retinal disease that leads to vision impairment in people suffering from diabetes mellitus. Early detection of disease requires expert supervision and computer diagnosis systems to avoid vision loss. Diabetic Retinopathy grading is suffering from small lesions and data imbalance problems. In this work, we proposed a VGG based attentive ensemble Network (VGGAE-Net) for the classification of diabetes Retinopathy. We have also utilized the two attention blocks channel attention module and class attention module with extracted feature maps from the CNN. Then their prediction outputs are combined to provide the final output for the classification task. The experiment shows that the ensemble approach of two attention blocks with VGG model gives 96.66% accuracy as compared to the existing recent models.

关键词： Diabetic retinopathy Visual impairment computer architecture Streaming media Predictive models Feature extraction Retina

来源：评论

学校读者我要写书评

暂无评论

A Random Forest Framework for Predicting Cardiovascular Disease in Diverse Populations“

A Random Forest Framework for Predicting Cardiovascular Dise...

引用

Advanced Computing & Communication Technologies (ICACCTech), International Conference on

作者： Parvez Rahi Sandeep Singh Kang Ajay Pal Singh Inderjeet Singh Dept. of Computer Science & Engineering Chandigarh University Mohali Punjab India

ISBN: (数字)9798331519056

ISBN: (纸本)9798331519063

According to the latest information from WHO, the World Health Organization, heart disease remains a major global health challenge, resulting in millions of deaths each year. Heart disease presents in various forms, including Hypertensive Heart Disease, Congestive Heart Failure (CHF), Coronary Artery Disease, Cardiomyopathy, and Arrhythmia. Accurate classification of these conditions is crucial for reducing mortality rates and improving patient outcomes. This study utilizes an enhanced Random Forest classifier to improve the accuracy of heart disease classification. The Synthetic Minority Oversampling Technique (SMOTE) was utilized to rectify the disparities in class. and Polynomial Feature engineering was employed to capture complex interactions within the data. The dataset underwent comprehensive preprocessing, including feature normalization and label encoding, followed by extensive hyperparameter tuning using GridSearchCV. The optimized model achieved a high accuracy of 92% and a Mean Squared Error (MSE) of 0.05. Key performance indicators, including an F1 score of 0.87, recall of 0.88, and accuracy of 0.92, highlight the model's efficacy in differentiating between various forms of heart disease. Future research could explore incorporating additional clinical data to further enhance the model's accuracy and applicability across diverse patient populations.

关键词： Heart Accuracy Key performance indicator Mortality Organizations Predictive models Polynomials Cardiovascular diseases Tuning Random forests

来源：评论

学校读者我要写书评

暂无评论

Categorization of Brain Tumor on MR Images Using Deep Learning Models

Categorization of Brain Tumor on MR Images Using Deep Learni...

引用

Device Intelligence, Computing and Communication Technologies, (DICCT), International Conference on

作者： Mundru Navya Sree Rajesh Singamaneni Modugula Kavya Sri Dept of Computer science Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada India

ISBN: (数字)9798350372847

ISBN: (纸本)9798350372854

Convolution Neural Network (CNN) algorithms have demonstrated notable capability in effectively analyzing human body image datasets obtained from MRI or CT with sufficient efficiency to direct medical operations. Although clinicians and radiologists can adeptly detect the presence of tumors and general abnormalities in brain scans, differentiating between specific tumor types typically requires significant time and effort. This study introduces an approach employing CNN algorithms for precise brain tumor classification into four distinct classes, leveraging deep learning models such as ResNet-50 and *** to classification, the dataset undergoes preprocessing using Adaptive Median Filter (AMF) and Contrast Limited Adaptive Histogram Equalization (CLAHE) for denoising and contrast enhancement. The classification task involves categorizing images into four classes namely Glioma, Meningioma, Pituitary and Tumorless. The proposed methodology aims to streamline the analysis process by minimizing complexity while maximizing accuracy rates when compared to previous developments.

关键词： Deep learning Histograms Computational modeling Magnetic resonance imaging Noise reduction Streaming media Brain modeling

来源：评论

学校读者我要写书评

暂无评论

DynaCache: A Checkpoint Aware Reconfigurable Cache for Intermittently Powered Computing Systems

DynaCache: A Checkpoint Aware Reconfigurable Cache for Inter...

引用

IFIP International Conference on Very Large Scale Integration (VLSI-SoC)

作者： Rishabh Mahanta Hemangee K. Kapoor Dept. of Computer Science and Engineering Indian Institute of Technology Guwahati India

ISBN: (数字)9798331539672

ISBN: (纸本)9798331539689

Energy harvesting devices are rapidly evolving to rival battery-backed technologies. Batteries have a shorter life- time and need maintenance compared to capacitors. Moreover, the usage of batteries comes with undeniable environmental costs. Distinct challenges have emerged such as performance enhancement, crash consistency of data, energy management, etc. To tackle these challenges we propose DynaCache: A checkpoint-aware reconfigurable cache for Intermittent powered computing systems. It is an intermittent computing architecture consisting of a reconfigurable L1 cache that dynamically trans- forms its write policy to strike a favorable trade-off between per- formance, data consistency, and forward progress of a program. Our proposal achieves a speedup in performance of 1.85x and 1.5x compared to non-volatile write-back cache and volatile write- through cache respectively. It also achieves a 99% reduction in dirty data compared to a volatile write-back cache guaranteeing a near absolute data consistency in a scenario of a power failure.

关键词： Performance evaluation Costs Sensitivity analysis Nonvolatile memory Very large scale integration Batteries Maintenance Proposals Energy harvesting Energy management

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 << < 480 481 482 483 484 485 486 487 488 489 > >>

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：