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

113 篇 会议
19 篇 期刊文献

馆藏范围

132 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

84 篇 工学
- 62 篇 计算机科学与技术...
- 51 篇 软件工程
- 39 篇 信息与通信工程
- 12 篇 控制科学与工程
- 10 篇 电子科学与技术（可...
- 6 篇 生物医学工程（可授...
- 6 篇 生物工程
- 4 篇 机械工程
- 4 篇 动力工程及工程热...
- 3 篇 光学工程
- 3 篇 电气工程
- 3 篇 建筑学
- 2 篇 仪器科学与技术
- 2 篇 土木工程
- 2 篇 安全科学与工程
32 篇 理学
- 20 篇 数学
- 10 篇 统计学（可授理学、...
- 9 篇 物理学
- 6 篇 生物学
- 3 篇 系统科学
21 篇 管理学
- 11 篇 管理科学与工程(可...
- 11 篇 图书情报与档案管...
- 10 篇 工商管理
7 篇 医学
- 7 篇 基础医学(可授医学...
- 7 篇 临床医学
- 5 篇 公共卫生与预防医...
- 2 篇 药学(可授医学、理...
5 篇 法学
- 4 篇 社会学
- 2 篇 法学
2 篇 经济学
- 2 篇 应用经济学
1 篇 军事学

主题

14 篇 throughput
12 篇 fading channels
9 篇 wireless communi...
8 篇 security
7 篇 signal to noise ...
7 篇 resource managem...
6 篇 reliability
6 篇 optimization
6 篇 accuracy
6 篇 adaptation model...
5 篇 internet
4 篇 scalability
4 篇 bit error rate
4 篇 interference
4 篇 wireless sensor ...
4 篇 predictive model...
4 篇 real-time system...
4 篇 analytical model...
4 篇 dynamic scheduli...
4 篇 robustness

机构

26 篇 centre for inter...
22 篇 dept. of compute...
11 篇 graphic era hill...
10 篇 dept. of compute...
6 篇 department of cs...
6 篇 graphic era deem...
6 篇 dept. of electro...
4 篇 graphic era deem...
4 篇 madhav institute...
3 篇 dept. of compute...
3 篇 department of mc...
3 篇 the dept. of inf...
3 篇 department of cs...
3 篇 technical univer...
3 篇 technical univer...
2 篇 university centr...
2 篇 nagpur campus pu...
2 篇 institute of phy...
2 篇 school of comput...
2 篇 symbiosis instit...

作者

18 篇 nookala venu
17 篇 deepak upadhyay
15 篇 venu nookala
15 篇 upadhyay deepak
8 篇 rashmi sharma
8 篇 sharma rashmi
7 篇 upadhyay abhay
7 篇 abhay upadhyay
6 篇 tsiftsis theodor...
6 篇 miridakis nikola...
6 篇 kunj bihari shar...
6 篇 sharma kunj biha...
5 篇 mridul gupta
5 篇 yang guanghua
5 篇 gupta mridul
4 篇 park myong-soon
4 篇 kanchan sneha
4 篇 sneha kanchan
4 篇 aakash singh ran...
4 篇 cao jiannong

语言

118 篇 英文
14 篇 其他

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

共 132 条记录，以下是11-20 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：

Utilization of Non-Orthogonal Multiple Access (NOMA) for Spectral Efficiency in Mixed Fading Environments 2

Utilization of Non-Orthogonal Multiple Access (NOMA) for Spe...

引用

2nd International Conference on Recent Trends in Microelectronics, Automation, Computing, and Communications Systems, ICMACC 2024

作者： Upadhyay, Deepak Upadhyay, Abhay Sharma, Rashmi Venu, Nookala Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Symbiosis Institute of Technology Department of CSE Nagpur Campus India Pune India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India

ISBN: (纸本)9798350366570

We explore in this paper a potential application of Non-Orthogonal Multiple Access (NOMA) to improve spectral efficiency in multi-fading environments that are ubiquitous in wireless communication systems. This is enabled by NOMA, which distributes the transmit power over different users according to their channel conditions and effectively utilizes the spectrum resources. The performance of NOMA is evaluated by extensive simulations and analytical results are provided to analyze the gains of NOMA over Orthogonal Multiple Access (OMA) in various fading models such as Rayleigh, Rician, and Nakagami-m. The following key metrics including Spectral Efficiency, Bit Error Rate (BER), Capacity, Outage Probability, Throughput and Cumulative Distribution Function (CDF) of User Rates are analyzed to measure the performance gains provided by NOMA for system throughput improvement, reduced errors, support for additional users as well as a fair resource allocation. Simulation results show the superiority of NOMA technique in comparison to OMA, especially for high density users and different channel models, making NOMA an important candidate as a future radio access scheme. © 2024 IEEE.

关键词： Distribution functions

来源：评论

学校读者我要写书评

暂无评论

Ethnicity Prediction From Audio Samples for Different Languages Using Convolutional Neural

Ethnicity Prediction From Audio Samples for Different Langua...

引用

Emerging Technology (INCET), International Conference for

作者： Sharvaani Ravikumar Thoguluva Suraj Gopinath Udith S Rimjhim Padam Singh Sneha Kanchan Dept of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India Dept of Internet Engineering and Computer Science University Tunku Abdul Rahman Malaysia

ISBN: (数字)9798350361155

ISBN: (纸本)9798350361162

“Ethnicity Prediction from Voice Samples” deals with prediction of a person's ethnicity from his/her voice samples. Ethnicity Prediction has gained more and more importance and attention in fields like security, recommendations systems, learning apps etc. The proposed work uses a customized Convolutional Neural Network (CNN) based model to predict the ethnicity of the speaker based on combination of varied audio features like Mel-Frequency Cepstral Coefficients (MFCC), pitch, energy, and zero crossing rate. The different voice samples are obtained from the popular Speech Accent Archive Dataset. Augmentation of data by performing time and pitch shifting proved to give a significant boost in the accuracy as it increased the number of voice recordings. The work also compares the performance of the proposed model with other state-of-art models like LSTM. The F-score obtained was 98% for the class Russian, Polish and 90% for the class French, Italian, Spanish i.e. Romance Languages and 80% for mixed language category that comprises of Indian, Italian, German and Polish.

关键词： Accuracy Scalability Predictive models Data models Recording Convolutional neural networks Security

来源：评论

学校读者我要写书评

暂无评论

Machine Learning-Driven QoS Prediction in 6G Networks Under α-η-μ Fading with Selection Combining and Co-Channel Interference Mitigation 1

Machine Learning-Driven QoS Prediction in 6G Networks Under ...

引用

1st International Conference on Advances in computer science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Upadhyay, Deepak Rallapalli, Sreekanth Hussain, Zakir Sharma, Rashmi Venu, Nookala Ranswal, Aakash Singh Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Nitte Meenakshi Institute of Technology Department of MCA Bengaluru India Department of CSE Nagpur Campus Pune India Centre for Internet Things Madhav Institute of Technology & Science Deemed University Gwalior India

ISBN: (纸本)9798331518578

In this paper, we study machine learning for resource utilization and QoS performance improvement in 6G networks under α-η-μ fading and co-channel interference (CCI). We conduct extensive experiments in simulation comparing our proposal with previous work and showing substantial improvements for both throughput, latency and resource efficiency over traditional as well as deep reinforcement learning based approaches. Their adaptive nature enables real-time optimization, and they run well in both dynamic and complex network conditions. Our experimental results illustrate that machine learned models significantly outperform state-of-the-art baselines on the following dimensions prediction accuracy, resource management and QoS metrics. This work underscores the importance of machine learning as a core enabler for sustainable 6G networks and providing better performance in future wireless communication systems. © 2025 IEEE.

关键词： Cochannel interference

来源：评论

学校读者我要写书评

暂无评论

Enabling Precise Diabetic Retinopathy Severity Prediction through Convolutional Neural Networks

Enabling Precise Diabetic Retinopathy Severity Prediction th...

引用

International Conference on Advanced Computing and Communication Systems (ICACCS)

作者： Shruti P Tanuja Konda Reddy Abhiram S Rimjhim Padam Singh Sneha Kanchan Department of Computer Science & Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetam India Dept. of Internet Engineering and Computer science Universiti Tunku Abdul Rahman Malaysia

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384376

Diabetes retinopathy (DR) continues to be a major public health concern, needing efficient and reliable approaches for early identification and severity categorization. In this work, we used deep learning to improve the diagnosis procedure of diabetic retinopathy, which is blindness caused by diabetes. Deep learning algorithms, notably neural networks, have shown extraordinary performance in image analysis tasks, demonstrating their potential to transform medical picture classification. The dataset used was the APTOS-2019 dataset with 3930 retinal images and corresponding classes of severity of the disease. Using a custom-designed CNN architecture, we focused on diabetic retinopathy severity classification, a multiclass classification consisting of 5 classes. The suggested custom model outperformed existing pretrained models in terms of accuracy with training accuracy at a high 98% and testing accuracy of 93%, showing its efficacy in diabetic retinopathy severity categorization. Our discoveries revealed the potential of customized deep learning models to improve diagnostic speed and accuracy, providing a major advancement toward individualized and successful patient treatment in the field of managing diabetic retinopathy.

关键词： Deep learning Training Diabetic retinopathy Accuracy Computational modeling Transforms Retina Convolutional neural networks Public healthcare Testing

来源：评论

学校读者我要写书评

暂无评论

Geopolitical Risk Analysis and its Impact on Market Volatility

Geopolitical Risk Analysis and its Impact on Market Volatili...

引用

International Conference for Convergence of Technology (I2CT)

作者： Keshav Rathinavel Indira Kumar A K Anshuman Sahoo Rimjhim Padam Singh Sneha Kanchan Department of Computer Science & Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India Dept. of Internet Engineering & Computer Science Universiti Tunku Abdul Rahman Malaysia

ISBN: (数字)9798350394474

ISBN: (纸本)9798350394481

This study addresses the influence of geopolitical risks on financial markets, as noticed in recent events like the COVID-19 pandemic and the Russia-Ukraine war. This study showcases a model combining financial indices with the Geopolitical Risk Index (GPRI), employing Bi-LSTM networks with attention mechanisms to analyze the data. This approach captures the nuanced effects of geopolitical events on market volatility. Focused on the pandemic period, our model offers insights into market dynamics during times of geopolitical unrest and serves as a predictive tool for market behavior in response to global events.

关键词： COVID-19 Analytical models Pandemics Predictive models Data models Risk analysis Indexes

来源：评论

学校读者我要写书评

暂无评论

Validation and evaluation of models in the study of characteristic descriptors based on patients' gender

Validation and evaluation of models in the study of characte...

引用

2022 International Conference Automatics and Informatics, ICAI 2022

作者： Marinova, Ginka Todorova, Maya Technical University of Varna Dept. of Computer Science and Engineering Varna Bulgaria Technical University of Varna Dept. of Software and Internet Technologies Varna Bulgaria

ISBN: (数字)9781665476256

ISBN: (纸本)9781665476256

Cancer-related distress is the result of the psyche's reaction to the diagnosis given and to the various stressors in the development of the type of malignant disease. The spreading of the psychological distress and depression may change depending on the stage, gender, and age of the patient. Identifying gender-based distress is important for improving the work of health professionals. The results of the study of models of characteristic descriptors based on patients' sex evaluated distress by applying three methods of machine learning. This report evaluates the effectiveness of the metrics accuracy and classification error. It implemented validation of models of descriptors and the calculated correlation coefficients. The results obtained for the two metrics - accuracy and classification error - were high. © 2022 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Accurate and Optimized Labelling of Fashion Products Through Attention Based Spiking Neural Networks

Accurate and Optimized Labelling of Fashion Products Through...

引用

International Conference on Advanced Computing and Communication Systems (ICACCS)

作者： N Vithyatharshana Yedhoti Thrinayani Yogeshwar Nitin Kulkarni Rimjhim Padam Singh Sneha Kanchan Dept. of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India Department of Computer Science & Engineering Amrita School of Computing Bengaluru Department of Internet Engineering and Computer science Universiti Tunku Abdul Rahman Malaysia

ISBN: (数字)9798350384369

ISBN: (纸本)9798350384376

Automation of garment classification has become the backbone of e-commerce, influencing product search, personalization, and customer experience. This paper uses the Fashion MNIST dataset, a rich collection of clothing images to investigate the potential of Spiking Neural Networks (SNNs) for accurate and efficient classification. SNNs are an excellent choice for widespread usage and real-world integration due to their low power consumption and biomimicry. With the intention of revolutionizing product search, personalization, and customer experience, SNNs are made to address style differences, perspectives, and illumination. In order to fully utilize Fashion MNIST, this paper suggests strategic improvements to the SNN architecture. By addressing key challenges and introducing novel optimizations, our research contributes to a more robust and intelligent future for automated fashion product labelling. An SNN model with 93.6% accuracy has been developed as the base model for all the applications for the same. This data-driven approach leads the way to flawless product searches, highly customized recommendations, and a more intelligent fashion technology in future.

关键词： Accuracy Power demand Clothing Lighting Spiking neural networks computer architecture Encoding Labeling Electronic commerce Optimization

来源：评论

学校读者我要写书评

暂无评论

Theta-λ Optimization for Network Performance in Rician Fading and Multi-User Interference Scenarios 4

Theta-λ Optimization for Network Performance in Rician Fadi...

引用

4th International Conference on Power, Control and Computing Technologies, ICPC2T 2025

作者： Upadhyay, Deepak Sharma, Kunj Bihari Dhondiyal, Shiv Ashish Venu, Nookala Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India

ISBN: (纸本)9798331530402

In this paper, an investigation into the application of Theta-λ optimization strategies to improve network performance is made in a challenging wireless communication systems environment subject both Rician fading and multi-user interference (MUI). This paper discusses the dynamic adjustments of Theta (angle-of-arrival) and λ parameters necessary to balance system resiliency against high throughput. We did some simulations to test the performance in terms of latency, throughput as well as accuracy using values such frequency stability and jitter. The results show strong enhancements after the optimization - latency: from a mean of 20 ms to stabilizing at 15ms, throughput: dramatically enhanced from existing baseline of around ~50 to 100 Mbps with enhancement between ~70-120Mbps while maintaining range and jitter reduction halved as average jitter is now less than two milliseconds compared previous Jitter at an optimal value. This had the added benefit of improvements in frequency stability: now, instead of hovering around 2.4 GHz like when we first tested it out-of-the-box, average was up to 2.5 GHz after optimization as well! The results of this study illustrate the potential for enhanced network reliability and availability through fading and interferer mitigation using Theta-λ optimization. This case study is representative of the relevance for real-time adaptive optimization techniques in current-day telecommunications given surging demands on resilient wireless connectivity. Further research directions include enhancement of the optimization algorithms depending on specific network conditions and integration with adaptive strategies for real-time delivery using QoE-oriented mechanisms. © 2025 IEEE.

关键词： Fading MUI Rician Theta-λ Wireless

来源：评论

学校读者我要写书评

暂无评论

Exploring the Impact of Conditional Deep Convolutional Generative Adversarial Networks in Brain Tumor Image Classification: A Novel Approach

Exploring the Impact of Conditional Deep Convolutional Gener...

引用

Pervasive Computational Technologies (ICPCT), International Conference on

作者： Deepak Upadhyay Abhay Upadhyay Kuj Bihari Sharma Shiv Ashish Dhondiyal Nookala Venu Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering Graphic Era Deemed to be University Dehradun India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

In this paper, we explore the impact of conditional Deep Convolutional Generative Adversarial Networks (cDCGANs) with brain tumor image classification and introduce a new way to improve diagnosis accuracy. Shortage of Data/Data Imbalance: In Medical Imaging datasets, it helps in surging the data scarcity and class imbalance with mimicking generation images using cDCGAN. The detailed investigation demonstrates that synthetic data effectively improves classifier performance by acting as a form of augmentation, providing additional training examples for classifiers and serving as ground truth. From the computational efficiency analysis, we see that there is also scalability in training time with respect to dataset size. Consequently, this study presents cDCGANs as an important asset with which to improve diagnostic accuracy through brain tumor categorization in clinical contexts.

关键词： Training Accuracy Scalability Brain tumors Medical services Sensitivity and specificity Generative adversarial networks Robustness Image classification Synthetic data

来源：评论

学校读者我要写书评

暂无评论

Theta-λ Optimization for Network Performance in Rician Fading and Multi-User Interference Scenarios

Theta-λ Optimization for Network Performance in Rician Fadi...

引用

Power, Control and Computing Technologies (ICPC2T), Conference on

作者： Deepak Upadhyay Deepak Kunj Bihari Sharma Shiv Ashish Dhondiyal Nookala Venu Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering Graphic Era deemed to be University Dehradun India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India

ISBN: (数字)9798331530402

ISBN: (纸本)9798331530419

In this paper, an investigation into the application of Theta- $\lambda$ optimization strategies to improve network performance is made in a challenging wireless communication systems environment subject both Rician fading and multi-user interference (MUI). This paper discusses the dynamic adjustments of Theta (angle-of-arrival) and $\lambda$ parameters necessary to balance system resiliency against high throughput. We did some simulations to test the performance in terms of latency, throughput as well as accuracy using values such frequency stability and jitter. The results show strong enhancements after the optimization - latency: from a mean of 20 ms to stabilizing at 15 ms, throughput: dramatically enhanced from existing baseline of around $\sim 50$ to 100 Mbps with enhancement between $\sim \mathbf{7 0 - 1 2 0 M b p s}$ while maintaining range and jitter reduction halved as average jitter is now less than two milliseconds compared previous Jitter at an optimal value. This had the added benefit of improvements in frequency stability: now, instead of hovering around 2.4 GHz like when we first tested it out-of-the-box, average was up to 2.5 GHz after optimization as well! The results of this study illustrate the potential for enhanced network reliability and availability through fading and interferer mitigation using Theta- $\lambda$ optimization. This case study is representative of the relevance for real-time adaptive optimization techniques in current-day telecommunications given surging demands on resilient wireless connectivity. Further research directions include enhancement of the optimization algorithms depending on specific network conditions and integration with adaptive strategies for real-time delivery using QoE-oriented mechanisms.

关键词： Fading channels Stability criteria Rician channels Interference Jitter Throughput Propagation losses Real-time systems Telecommunication network reliability Optimization

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14页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：