检索结果-内蒙古大学图书馆

2nd International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2022

作者： Yang, Xueyan College of Computer Science and Technology Huai Bei Normal University Huai Bei China

ISBN: (纸本)9789819945535

There has been a pronounced increase in online shopping since the start of the COVID-19 pandemic. Online supermarkets are one of the critical topics of research today. Today there is a wide range of online supermarket apps available nationally and internationally, and good progress has been made in transporting goods. However, there are still research gaps in managing food waste and fresh produce. Therefore, the research theme of this paper is to establish an information management system for a new production software. The methodology of this paper is as follows: firstly, the author analyses the functional requirements of the system, secondly the structural framework of the system is designed based on the requirements analysis, then the ER diagram is completed based on the understood data requirements, processing requirements, security and integrity requirements of the users and administrators, the database is created, tables are created, data is inserted, and finally the desired query functions are achieved through MySQL. Finally, the web design for the background management of product additions, user registration accounts, and login accounts was conducted by compiling HTML and CSS in VScode software. This paper has achieved the target query function. However, the query database steps are still slightly complicated, not convenient and fast enough, and the operational requirements of the administrator are also relatively high. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Database systems

来源：评论

学校读者我要写书评

暂无评论

Human Safety and Vehicle Speed Controlling using Internet of Things (IoT) 2

Human Safety and Vehicle Speed Controlling using Internet of...

引用

2nd International Conference on Edge Computing and Applications, ICECAA 2023

作者： Kavitha, S. Safreen Padmasree Niskriyaa Keerthana Velammal College of Engineering and Technology Department of Computer Science and Engineering Tamilnadu Madurai India

ISBN: (纸本)9798350347579

People require transportation to move from one place to another place nowadays. As the population expands, so does transportation across the country. Despite the high demand for vehicles, the number of accidents are increasing due to the lack of safety precautions. Moreover, major accidents occur for two-wheeler drivers because two-wheelers lack safety precautions that four-wheelers have. Many research studies that are conducted recently to determine the cause of accidents concluded that driving recklessly in crowded areas causes road accidents. The major goal of this research work is to minimize the road accidents and prevent road accidents while ensuring driver safety. The proposed model enhances human safety while driving is by employing Arduino UNO and IoT. The vehicle will only start if the driver wears helmet and not intoxicated. To track the vehicle's current location, GPS module is used. To avoid accidents due to vehicle overspeed, the speed of vehicle is continuously monitored. In a particular zone, the driver will be alerted to reduce the speed. © 2023 IEEE.

关键词： Roads and streets

来源：评论

学校读者我要写书评

暂无评论

Multi-granularity Dynamic Identity Aggregation for Text-based Person Re-identification 11

Multi-granularity Dynamic Identity Aggregation for Text-base...

引用

11th Joint International Information technology and Artificial Intelligence Conference, ITAIC 2023

作者： Zhu, Hanyue Du, Guodong College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing21000 China

ISBN: (纸本)9798350333664

Text-based person re-identification(ReID) is a text-to-image retrieval task that searches images of people across non-overlapping cameras with textual descriptions. Due to significant intra-class variations and cross-modality disparities, along with substantial sample noise, it becomes challenging to learn discriminative features. Existing text-based ReID methods tend to focus on learning global representations, which possess limited discriminability and weak robustness to noisy samples. In this paper, we propose a novel Multi-granularity Dynamic Identity Aggregation(MuDIA) learning approach that simultaneously explores intra-modal fine-grained and cross-modal coarse-grained contextual cues for text-based ReID. MuDIA consists of two primary components: Weighted Parts Aggregation for Global Feature (WPAG) and Multi-Granularity Refinement of Local Feature (MGRL). WPAG aims to learn discriminative features by aggregating parts and simultaneously exploring the contextual relations among body parts within each modality. MGRL aligns the features of the two modalities at multi-granularity, eliminating the modality gap at cascade-style levels and gradually reducing the feature gap between the visual domain and the textual domain. Extensive experiments are carried out to evaluate the proposed framework on two text-based ReID datasets, i.e., CUHK-PEDES and ICFG-PEDES. © 2023 IEEE.

关键词： Cross-modality Person re-identification Text-to-image alignments

来源：评论

学校读者我要写书评

暂无评论

An improved pulse coupled neural networks model for semantic IoT

引用

Digital Communications and Networks 2024年第3期10卷 557-567页

作者： Rong Ma Zhen Zhang Yide Ma Xiping Hu Edith C.H.Ngai Victor C.M.Leung School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China School of Medical Technology Beijing Institute of TechnologyBeijing100081China Department of Electrical and Electronic Engineer The University of Hong KongHong Kong 999077China College of Computer Science and Software Engineering Shenzhen UniversityShenzhen 518060China Department of Electrical and Computer Engineering the University of British ColumbiaVancouverBC V6T 1Z4Canada

In recent years,the Internet of Things(IoT)has gradually developed applications such as collecting sensory data and building intelligent services,which has led to an explosion in mobile data ***,with the rapid development of artificial intelligence,semantic communication has attracted great attention as a new communication ***,for IoT devices,however,processing image information efficiently in real time is an essential task for the rapid transmission of semantic *** the increase of model parameters in deep learning methods,the model inference time in sensor devices continues to *** contrast,the Pulse Coupled Neural Network(PCNN)has fewer parameters,making it more suitable for processing real-time scene tasks such as image segmentation,which lays the foundation for real-time,effective,and accurate image ***,the parameters of PCNN are determined by trial and error,which limits its *** overcome this limitation,an Improved Pulse Coupled Neural Networks(IPCNN)model is proposed in this *** IPCNN constructs the connection between the static properties of the input image and the dynamic properties of the neurons,and all its parameters are set adaptively,which avoids the inconvenience of manual setting in traditional methods and improves the adaptability of parameters to different types of *** segmentation results demonstrate the validity and efficiency of the proposed self-adaptive parameter setting method of IPCNN on the gray images and natural images from the Matlab and Berkeley Segmentation *** IPCNN method achieves a better segmentation result without training,providing a new solution for the real-time transmission of image semantic information.

关键词： Internet of things(IoT) Semantic information Real-time application Improved pulse coupled neural network Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Injecting Visual Features into Whisper for Parameter-Efficient Noise-Robust Audio-Visual Speech Recognition

Injecting Visual Features into Whisper for Parameter-Efficie...

引用

2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Yang, Zhao Yeo, Yue Heng Jiang, Rui Fu, Xiao Chen, Weiguang Xi, Wei Zhao, Jizhong School of Computer Science and Technology Xi'an Jiaotong University China School of Computer Science and Engineering Nanyang Technological University Singapore College of Computer Science and Electronic Engineering Hunan University China

ISBN: (纸本)9798350368741

Audio-visual speech recognition (AVSR) aims to enhance the robustness of an automatic speech recognition (ASR) systems by incorporating visual information from lip movements, especially in challenging noisy environments. Nevertheless, most current approaches either involve training from scratch or fully finetuning a pre-trained model, both of which incur significant computational costs and are often impractical for large-scale speech foundation models. This gap highlights the need for more efficient methods to leverage visual and acoustic information in AVSR tasks. To address this challenge, we propose AVWhisper, a parameter-efficient model that integrates visual and acoustic representations by injecting visual features from the AV-HuBERT encoder into the pre-trained Whisper model. Our approach leverages the existing attention mechanisms in Whisper to facilitate cross-modal interaction and integrates auxiliary visual information through lightweight adapters based on Low-Rank Adaptation (LoRA) and prompt-based techniques. Furthermore, a two-phase training strategy is adopted to effectively handle cross-domain differences and visual information injection problems respectively. Extensive experiments on the LRS3-TED dataset demonstrate that AVWhisper consistently outperforms state-of-the-art methods across various noise conditions, offering a more efficient and scalable solution for audio-visual speech recognition. © 2025 IEEE.

关键词： Audio-Visual Speech Recognition LoRA Noise-Robust Parameter-Efficient Prompt Whisper

来源：评论

学校读者我要写书评

暂无评论

Customer Spending Prediction on E-Commerce Website 15

Customer Spending Prediction on E-Commerce Website

引用

15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Salake, Sudha V. Patil, Pankaja Kunchur, Pavan Bangarashetti, Sadhana Managuli, Manjunath Patil, Sheetal B. Department of Computer Science and Engg KLS Gogte Institute of Technology Belagavi India Department of Information Science and Engg Basaweshwar Engineering College Bagalkot India Department of Electronics and Communication Engineering KLS Gogte Institute of Technology Belagavi India Department of Computer Science and Engg SJB Institute of Technology Belagavi India

ISBN: (纸本)9798331300579

In the ever-evolving world of e-commerce, understanding customer behavior and predicting their spending patterns is crucial for businesses to thrive. This work presents an innovative application designed to predict customer spending on an e-commerce website. By leveraging advanced machine learning techniques and utilizing comprehensive customer data, the application offers valuable insights that can be used to optimize sales strategies and enhance customer *** application employs a robust predictive model trained on historical customer data, including purchase history, browsing patterns, demographic information, and transactional *** application incorporates real-time data updates to ensure continuous improvement and adaptability to changing customer *** proposed application offers a powerful tool for e-commerce businesses to predict customer spending, optimize sales strategies, and deliver personalized experiences. By harnessing the power of machine learning and leveraging comprehensive customer data, businesses can stay competitive in the dynamic e-commerce landscape and foster long-term customer loyalty. © Grenze Scientific Society, 2024.

关键词： Marketplaces

来源：评论

学校读者我要写书评

暂无评论

Feature fusion-based weighted broad learning system for imbalanced data 8

Feature fusion-based weighted broad learning system for imba...

引用

8th IEEE Information technology and Mechatronics Engineering Conference, ITOEC 2025

作者： Li, Yanting Wang, Yusha Jin, Junwei Philip Chen, C.L. Zhengzhou University of Light Industry College of Computer Science and Technology Zhengzhou China Henan University of Technology College of Artificial Intelligence and Big Data Zhengzhou China South China University of Technology School of Computer Science and Engineering Guangzhou China

ISBN: (纸本)9798331517915

Broad Learning System (BLS), characterized by its flat architecture as an efficient neural network, has garnered significant interest for its benefits in terms of training velocity and network scalability. However, BLS does not perform well when dealing with imbalanced classification problems. First, conventional BLS neglects the intrinsic logical information contained in the original input data, which may be critical for classification and prediction. Second, BLS fails to emphasize the significance of minority classes in imbalanced data scenarios. In this paper, we propose a feature fusion-based weighted broad learning system. Unlike traditional BLS, we combine the original features and broad features as fused features for training. Additionally, we introduce a weight generation mechanism that assigns higher weights to minority classes, enhancing the model's focus on these classes. A closed solution is available for the issue, and the transformation matrix can be effectively resolved. The experimental results on multiple imbalanced datasets show that our method is superior to other imbalanced methods. © 2025 IEEE.

关键词： adaptive weights Broad learning system (BLS) fused features original data standardization

来源：评论

学校读者我要写书评

暂无评论

AI-Driven Assessment and Evaluation: Enhancing Sustainability in Educational Practices 3

AI-Driven Assessment and Evaluation: Enhancing Sustainabilit...

引用

3rd International Conference on Automation, Computing and Renewable systems, ICACRS 2024

作者： Chinnasamy, P. Pushpalatha, M. Nirmala, V. Vidhya, V. Ayyasamy, Ramesh Kumar Priya, Divya Department of Computer Science and Engineering School of Computing Kalasalingam Academy of Research and Education Tamilnadu India Department of Computer Science and Technology Karpagam College of Engineering Coimbatore India Department of MCA Annamacharya PG College of Computer Studies Rajampet Kadapa India India Kampar Perak Malaysia Department of Computer Science and Engineering MLR Institute of Technology Hyderabad India

ISBN: (纸本)9798331532420

AI-powered educational technologies are emerging as transformative forces in the quickly changing field of education, where innovation is essential to keeping ahead of the competition. Assessments are one area that is undergoing revolutionary transformation. Artificial Intelligence (AI) is redefining the way we evaluate learning outcomes as traditional evaluation approaches struggle to keep up with the demands of the digital age. The field of artificial intelligence-powered learning assessments has a lot of promising future developments ahead of it. This research proposes novel technique in assessment and evaluation based on online education system using Artificial intelligence in machine learning techniques. Here, the input has been analysed as student performance data based on online education and processed for removing of missing values with noise removal. Then this data has been analysed using spatio LSTM convolutional fuzzy neural network for classification of evaluation and assessment model. the experimental analysis has been carried out for various student performance analysis dataset in terms of training accuracy, average precision, specificity, F-measure and recall. Proposed method training accuracy 97%, Average precision 94%, F-measure 90%, RECALL 93%, SPECIFICITY 96%. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Traveling Tournament Problem and the Different Methods of Solutions: A Brief Review

Traveling Tournament Problem and the Different Methods of So...

引用

International Conference on Advances in Data science and Computing Technologies, ASDC 2022

作者： Basu, Rajarshi Chowdhury, Pratik Das, Baisakhi Mondal, Shyama Chatterjee, Kingshuk Mukherjee, Alok Information Technology Government College of Engineering and Ceramic Technology Kolkata India Computer Science and Engineering Government College of Engineering and Ceramic Technology Kolkata India Electrical Engineering Government College of Engineering and Ceramic Technology Kolkata India

ISBN: (纸本)9789819936557

Traveling Tournament Problem (TTP) has been a major area of research due to its huge application in developing smooth and healthy match schedule in a tournament. The primary objective of a similar problem is to minimize the travel distance for the participating teams. A well constructed schedule, comprising of diverse combinations of the home and away matches in a round robin tournament would keep the fans more attracted. Hence, an optimal solution to the problem is necessary from all respects. In this paper, we have described a brief review of the different methods of design of solutions to the TTP, which would be beneficial to understand the overall scenario, as well as identify the effectiveness of each model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Polynomials

来源：评论

学校读者我要写书评

暂无评论

Design Thinking and Innovative Tool Use in Business Model

Design Thinking and Innovative Tool Use in Business Model

引用

2024 International Conference on Intelligent systems for Cybersecurity, ISCS 2024

作者： Singhi, Nitika Verma, Ankush Agrawal, Atul Khan, Irfan Computer Science Engineering Shri Vaishnav Vidhyapeeth Vishwavidyalava Indore India Data Analytics and Information System Prestige Institute of Management and Research Indore India Computer Science Engineering Sushila Devi Bansal College of Technology Indore India Computer Science Engineering Bansal Institute of Science and Technology Bhopal India

ISBN: (纸本)9798350375237

In past few year designs thinking has worked on several new effective problem and has generated innovative solution for new business model. For the scenario of today's demand, to better understand how design thinking can work on different perspectives in business models and how it can bring new innovative solutions for any problem is essential However, studies of existing literature explore the application, potential, and challenges of Design Thinking towards the comprehensive aim of this paper, which regards business model innovation as a fundamental subject of Design Thinking. The paper provides practical tools for exploring Design Thinking along with various critical aspects for the researchers to explore how Design Thinking can be applied to innovative business models. The main focus of this paper is to explain the basics of Design Thinking, how to frame the mind through different techniques used, the Design Techniques used for a business model, the methodology of a design thinker, and different tools like BPM, Blue Work Live, Mind Mapping, Brainstorming, and RICPS. © 2024 IEEE.

关键词： Mapping

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：