检索结果-内蒙古大学图书馆

Employment of Applications of WSN in Agriculture Domain: A Review

Employment of Applications of WSN in Agriculture Domain: A R...

2024 International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024

作者： Saxena, Kumud Srivastav, Akanksha Murugan, R. Department of Computer Science Engineering Noida Institute Of Engineering and Technology Uttar Pradesh Greater Noida India Department of Computer Science and Engineering Tula's Institute Dehradun India Bangalore India

ISBN: (纸本)9798350355338

With the progress of technology and the shrinking of sensor size, sensors are now being utilized in nearly every domain of life. The field of agriculture is one area where sensors and associated networks are effectively utilized to obtain several advantages. This study aims to assess the necessity of wireless sensors in the field of Agriculture, explore the technology of Wireless Sensor Networks (WSN), and examine their use in many parts of agriculture. Additionally, it aims to provide several system frameworks that are currently accessible for this specific domain. © 2024 IEEE.

关键词： sensor and actuator network and Agriculture wireless sensors

来源：评论

学校读者我要写书评

暂无评论

An Integrated Framework of RNN and MCDM SAW Method for Efficient Resource Provisioning in Cloud Computing 11

An Integrated Framework of RNN and MCDM SAW Method for Effic...

引用

11th IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2023

作者： Purohit, Nikhil Srivastava, Prakash Pandey, Priyank Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350326147

Cloud computing is vital for businesses and individuals, offering a flexible and scalable solution for data storage, processing, and access. As cloud usage expands, optimizing resource allocation and reducing costs becomes crucial. In this paper, we propose an RNN Hybrid resource allocation strategy for cloud computing. This strategy leverages recurrent neural networks to predict future resource demands of cloud applications and dynamically allocate resources accordingly. We integrate the MCDM (SAW) method and RNN algorithm to rank users and predict bidding prices. Evaluating our proposed strategy and experiments using a dataset generated by the Double auction algorithm, the results demonstrate superior resource utilization, application performance, and accurate bid value prediction compared to existing strategies. This RNN-based approach holds great potential for enhancing the efficiency and effectiveness of cloud computing systems. © 2023 IEEE.

关键词： Cloud computing

来源：评论

学校读者我要写书评

暂无评论

Enhanced Source Camera Identification Using Dual Pathway Processing and Spatial Attention Module 11

Enhanced Source Camera Identification Using Dual Pathway Pro...

引用

11th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, BDCAT 2024

作者： Zaimen, Abderraouf Oulefki, Adel Khelifi, Fouad Rabie, Tamer Bouridane, Ahmed University of Sharjah Department of Computer Engineering Sharjah United Arab Emirates Northumbria University Department of Computer Science United Kingdom

ISBN: (纸本)9798350367300

Source camera identification is a critical task in digital image forensics that helps verify the authenticity of images by identifying the camera sensor used to capture them. In this paper, we propose an enhanced method for source camera identification. Building upon an existing work, we introduce a model that learns to compare the camera fingerprint Photo Response Non-Uniformity (PRNU) with image noise at the patch level. First, we utilize a dual-pathway structure to process image noise and fingerprint inputs independently, allowing the network to capture specialized features from each input. Additionally, we use 3-channel inputs to preserve all the relevant noise information across all channels. This multichannel approach is combined with a spatial attention module to emphasize regions rich in PRNU information while ignoring irrelevant noise. Furthermore, experiments conducted on the VISION dataset, which includes images processed by social media platforms, demonstrate that the proposed model outperforms the baseline model in term of accuracy and robustness while maintaining computational efficiency. These improvements make our model well-suited for large-scale forensic applications in real-world scenarios. © 2024 IEEE.

关键词： Dual Pathway Processing Image Forensics PRNU Source Camera Identification Spatial Attention

来源：评论

学校读者我要写书评

暂无评论

Improved Resource Allocation in 6G Networks Through Artificial Intelligence 2

Improved Resource Allocation in 6G Networks Through Artifici...

引用

2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Gupta, Rolly Kumar Sagar, Pramod Malhotra, Sonal Kulshreshtha, Kushagra Srm Institute of Science and Technology Computer Science & Engineering UP Modinagar India Raj Kumar Goel Institute of Technology Computer Science & Engineering UP Ghaziabad India Graphic Era Hill University Computer Science & Engineering Uttarakhand Dehradun India Gla University Department of Computer Engineering & Applications Up Mathura India

ISBN: (纸本)9798350371055

This paper proposes a unique resource allocation technique for 6G networks the use of synthetic intelligence (AI). To assist the evolution of cellular networks, aid allocation mechanisms must be designed to successfully allocate network assets and assist the large wide variety of to be had offerings. Thus far, this has been implemented with the aid of traditional algorithms which possess an upper restrict on their talents. AI-based useful resource allocation offers superior adaptively and scalability to such algorithms, through gaining knowledge of from historic records and feedback from the person terminals. On this paper, an improved aid allocation algorithm primarily based on the integration of AI technology is proposed, underneath the perspective of optimizing both electricity performance and network overall performance. The proposed set of rules relies on a deep Q-learning framework, taking gain from deep neural networks to dynamically examine the most reliable resource allocation strategy. Simulation consequences display an improvement in network performance and energy performance in comparison to traditional optimization schemes. © 2024 IEEE.

关键词： dynamically mechanisms propose schemes technique

来源：评论

学校读者我要写书评

暂无评论

Deep Learning for Cognitive Task and Seizure Classification with Hilbert–Huang Transform and Variational Mode Decomposition 3rd

Deep Learning for Cognitive Task and Seizure Classification ...

引用

3rd International Conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Jain, Shraddha Srivastava, Rajeev Department of Computer Science and Engineering Indian Institute of Technology BHU Varanasi India

ISBN: (纸本)9789819743582

Electroencephalography (EEG) signals are often utilized to study cognitive processes and brain diseases. The non-stationary and non-linear nature of EEG signals makes their analysis difficult. A deep learning framework that suggested classifying seizures based on scalp EEG signals and automating cognitive tasks. We use a pre-processing module based on the Hilbert–Huang Transform (HHT) and Variational Mode Decomposition (VMD) to extract features from raw EEG data. We present an approach that combines deep learning with HHT and VMD for rapid and precise seizure detection. Our method detects seizures with an astounding 98.40% accuracy. Our suggested techniques have great potential for quantifying brain wave patterns and advancing neuroscience research, even outside of classification applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Variational mode decomposition

来源：评论

学校读者我要写书评

暂无评论

An Innovation Development of New Perspective of Efficient Approaches, Techniques and Challenges for Data Centers 2

An Innovation Development of New Perspective of Efficient Ap...

引用

2nd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Shetty, Sahana Shashikala, H.K. Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350347456

Data centers are essential components of the modern digital world. They provide the necessary resources and infrastructure to enable access to online services and applications, enabling individuals and organizations to communicate, collaborate, and access information in real time. Data centers are an essential part of the internet and are used to manage and store data, providing access to a wide range of services. They provide organizations with the ability to store, access, and process data. Data centers are the backbone of the digital revolution, enabling organizations and individuals to connect with the world. Data centers are essential for providing secure access to data and resources. They are designed with security features such as firewalls, encryption, and authentication that protect data from unauthorized access. Data centers also provide advanced networking and storage solutions to ensure data is secure, reliable, and available for use. Data centers are also important for reducing operational costs. They provide the necessary resources and infrastructure to reduce hardware and software costs, as well as energy costs associated with running hardware and applications. This reduces the overall cost of doing business and allows organizations to focus on their core competencies. © 2023 IEEE.

关键词： Cryptography

来源：评论

学校读者我要写书评

暂无评论

EAMR-Net: A multiscale effective spatial and cross-channel attention network for retinal vessel segmentation

引用

Mathematical Biosciences and engineering 2024年第3期21卷 4742-4761页

作者： Prethija, G. Katiravan, Jeevaa School of Computer Science and Engineering Vellore Institute of Technology Chennai600127 India Department of Information Technology Velammal Engineering College Chennai600066 India

Delineation of retinal vessels in fundus images is essential for detecting a range of eye disorders. An automated technique for vessel segmentation can assist clinicians and enhance the efficiency of the diagnostic process. Traditional methods fail to extract multiscale information, discard unnecessary information, and delineate thin vessels. In this paper, a novel residual U-Net architecture that incorporates multi-scale feature learning and effective attention is proposed to delineate the retinal vessels precisely. Since drop block regularization performs better than drop out in preventing overfitting, drop block was used in this study. A multi-scale feature learning module was added instead of a skip connection to learn multi-scale features. A novel effective attention block was proposed and integrated with the decoder block to obtain precise spatial and channel information. Experimental findings indicated that the proposed model exhibited outstanding performance in retinal vessel delineation. The sensitivities achieved for DRIVE, STARE, and CHASE_DB datasets were 0.8293, 0.8151 and 0.8084, respectively. © 2024the Author(s).

关键词： Drops

来源：评论

学校读者我要写书评

暂无评论

A Study on Existing EHR Models Used for Validating the Clinical Records 6th

A Study on Existing EHR Models Used for Validating the Clini...

引用

6th International Conference on Innovative Computing and Communication, ICICC 2023

作者： Sharma, Priyanka Kumar, Tapas Tyagi, S.S. Department of Computer Science Engineering Faculty of Engineering MRIIRS Faridabad India Department of Computer Science Engineering Faculty of Engineering IIMT Greater Noida India

ISBN: (纸本)9789819933143

EHR was a statistical database of electronic health records for individuals or demographics that can be accessed through diverse healthcare environments. Planning for long-term retention and handling of electronic health information is an important factor in the planning process. The majority of commercial EHR models were designed to integrate data from vast ancillary facilities like radiology, pharmacy, and laboratory with different clinical care components. Electronic health records (EHRs) were digital representations of hospital records that were renovated in real time. An (electronic health record (EHR) was a comprehensive statement on a person's health. EHRs relief in the provision of evidence-based care, the tracing of a patient's treatment development, and the enabling of improved healthcare judgments. This paper aims to review the comparison of different EHR models that are being used throughout the world. The usage of various machine learning approaches in existing EHR has also been explored in this study. A thorough introduction of EHR is provided initially, followed by a focus on some related work that explains the adoption principles employed by various authors in EHR. In addition, discuss the different EHR models and the methodologies they have used and challenges in existing EHR models, their advantages, need, and then finally the challenges of EHR. This paper can be concluded in a way that to create an effective framework of potential data exchange agreements between health services and patients more public dialogue around electronic health records is needed. Quantitative research, such as polls of a wide variety of customers and doctors, may also be performed in order to obtain better outcomes. In next paper, we intend to propose framework of such EHR model. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Patient treatment

来源：评论

学校读者我要写书评

暂无评论

An Ensemble Learning Based Approach for Detection of Malware Attacks in IoT Network

An Ensemble Learning Based Approach for Detection of Malware...

引用

2024 OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Mittal, Saksham Wazid, Mohammad Singh, D.P. Singh, Mukesh Graphic Era Hill University Department of Computer Science and Engineering Dehradun248002 India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun248002 India

ISBN: (纸本)9798350373783

The Internet of Things (IoT) is increasingly being used in various areas, including home automation, smart agriculture, transportation, and healthcare. Within an IoT network, many IoT devices exchange information either among themselves or with servers or users through public channels. This could provide attackers with the opportunity to carry out destructive attacks or distribute malware on the network with the intention of damaging resources or stealing information from the system. For safe communication and a network free of malware, an intelligent malware detection system is necessary to implement preventive steps. This study also aims to create an effective and intelligent system for detecting malware using a stack-based ensemble learning approach, abbreviated as ELA-MD. The proposed model is trained and assessed against a benchmark using key metrics such as accuracy and f1-score. The suggested plan was evaluated with various existing schemes and showed superior performance when compared with them. © 2024 IEEE.

关键词： Smart agriculture

来源：评论

学校读者我要写书评

暂无评论

Proposed AES-based Obfuscation and Encryption Model for Cloud Data Security 1

Proposed AES-based Obfuscation and Encryption Model for Clou...

引用

1st International Conference on Intelligent Systems and Computational Networks, ICISCN 2025

作者： Singh, Prabhdeep Singh, Pawan Agarwal, Abhay Kumar Kumar, Anil Amity School of Engineering and Technology Department of Computer Science and Engineering Lucknow India Kamla Nehru Institute of Technology Department of Computer Science and Engineering Sultanpur India Amity University Amity School of Engineering and Technology Lucknow India

ISBN: (纸本)9798331529246

Cloud Computing (CC) offers a diverse range of services along with huge data storage across a network. CC has collaborated with varied emerging technologies like IoT because of its numerous advantages. Despite CC's benefits, cloud-based servers are not always trustworthy in real-world scenarios. Users' privacy will be compromised if they send their data straight to cloud platforms since crucial information will be exposed to cloud servers. Thereby, this work develops a data security model in the cloud with two stages, proposed secured data storage and proxy re-encryption. Initially, the data is stored securely in the cloud based on improved AES-based encryption as well as obfuscation-based encryption. Based on the request from the data user, proxy re-encryption is done using Kronecker product-based encryption. The enhanced AES achieved the lowest value of 0.025 for the CCA attack with a key size of 128 bits. Thus, the final encoded key is obtained. © 2025 IEEE.

关键词： Cloud platforms

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：