检索结果-内蒙古大学图书馆

7th International Conference of Transportation Research Group of India, CTRG 2023

作者： Srivastava, Nishtha Gohil, Bhavesh N. Department of Computer Science and Engineering Sardar Vallabhbhai National Institute of Technology Surat India

ISBN: (纸本)9789819610365

The accurate prediction of travel time in India is essential for efficient transportation planning and management, especially in busy cities with heavy traffic. Recent research in transportation engineering, computer science, and data analytics has demonstrated the effectiveness of data-driven approaches in predicting travel times more accurately. Accurate road travel time prediction can benefit both transportation service providers and travelers by improving trip planning, reducing travel times, and increasing operational efficiency. Driven by a vision to make a significant contribution to this expansive realm of research, this paper suggests a methodology for forecasting taxi travel times for Bangalore city using data from Uber Movement to increase the effectiveness and dependability of urban transport networks. The model combines regression approaches with spatiotemporal data analysis to capture complicated geographical and temporal trends. The model adds pertinent data, such as weather from Wunderground, and is trained using Uber Movement’s data on cab trips. This report provides a thorough trend analysis of Bangalore city’s commuters. With a Mean Absolute Error (MAE) of 103 s on the Uber data, the ExtraTree regressor outperforms the other regression methods, according to a comparison of their findings. Based on Uber Movement data, the suggested algorithm can accurately predict the time needed to travel between places in Bangalore city. Furthermore, a comprehensive evaluation is undertaken to analyze the suitability of eXplainable Artificial Intelligence (XAI) in effectively addressing the interpretability of black box machine learning models for predicting travel time. The XAI methods, SHAP and LIME are used to evaluate the interpretability of the trained models. As part of future work, this model can be applied to other cities and improve traffic management by taking proactive measures in advance. © The Author(s), under exclusive license to Springer Nature Sin

关键词： Travel time

来源：评论

学校读者我要写书评

暂无评论

An IoT based Application for Real-Time Detection of Rotten Fruits 2

An IoT based Application for Real-Time Detection of Rotten F...

引用

2nd International Conference on computer, Communication and Control, IC4 2024

作者： Raj, Jeberson Retna Srinivasulu, Senduru Jabez Gowri Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350387933

Food packaging serves several purposes, including food preservation, shelf-life extension, and upholding quality and safety requirements throughout manufacturing and storage. Intelligent food packaging, on the other hand, goes a step further by including sensors that continually check food quality throughout the supply chain. This enables food-borne sickness and waste to be analyzed and reduced. The existing systems are limited in accuracy and they are unable to extract the actual state of the food. Furthermore, the practical implementations remain restricted. In this paper, an IoT based food quality checking system is designed to check the quality of the food and ensures whether it can be edible or not in a real-time environment. This helps the food producers and consumers to indicate the status of food for further processing for intelligent packaging. © 2024 IEEE.

关键词： Supply chains

来源：评论

学校读者我要写书评

暂无评论

Smart Home Security Enhancements with Cisco Packet Tracer 1

Smart Home Security Enhancements with Cisco Packet Tracer

引用

1st IEEE International Conference on Computing and Data Science, ICCDS 2024

作者： Nanthini, N. Lakshmi Priya, S. Jeslene Sugee, A.G. Sathyabama Institute of Science and Technology Department Of Computer Science and Engineering Chennai India

ISBN: (数字)9798350365337

ISBN: (纸本)9798350365337

Modern households are increasingly adopting smart home devices powered by the Internet of Things (IoT). From smart thermostats and security systems to voice assistants, connected IoT devices enable seamless and responsive control through Wi-Fi, Bluetooth and other wireless technologies Whena home appliance a intelligent consumption is accelerating, driven by its undeniable benefits, the need for robust security solutions becomes paramount. This paper delves into the potential of EIGRP (Enhanced Interior Gateway Routing Protocol) as a powerful tool for securing smart homes. While challenges remain to ensure compatibility with all smart devices to improve network performance, EIGRP capabilities offer promising prospects for the coming years of smart home security If received greater adoption of this policy along with other security measures, can pave the way for more secure and connected smart home products to reap the full benefits, and find peace in your digital paradises. © 2024 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

VR theatre-A virtual reality based seat selection system 1st

VR theatre-A virtual reality based seat selection system

引用

1st International Conference on Applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Kanyal, Hoshiyar Singh Mansi Singh, Mayank Kumar Koranga, Nandika Department of Computer Science & Engineering ABES Institute of Technology Uttar Pradesh Ghaziabad India

ISBN: (纸本)9781032874036

Traditional movie ticket booking relies on static 2D seat maps, limiting user’s ability to visualize their chosen seat. This project explores the potential of virtual reality (VR) to revolutionize the movie-going experience by introducing VR seat selection. We designed a VR theatre environment where users can navigate and virtually "sit" in different seats, experiencing the view from each location. This immersive experience empowers users to make informed decisions about seat selection, considering factors like screen proximity, and overall viewing angle. User testing will compare VR seat selection with traditional methods, evaluating its impact on user confidence and satisfaction. This project investigates the potential of VR technology to enhance user engagement and decision-making in the movie ticket booking process. © 2025 the Author(s).

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

WENSA: WhatsApp Emotion and Sentiment Analyzer Using LSTM and BI-LSTM 3rd

WENSA: WhatsApp Emotion and Sentiment Analyzer Using LSTM an...

引用

3rd International Conference on Intelligent Systems and Sustainable Computing, ICISSC 2023

作者： Kumar, N. A. Abhinav Sanjay, R.V. Vani, V. Karthik, N. Department of Computer Science and Engineering National Institute of Technology Puducherry Karaikal609609 India

ISBN: (纸本)9789819783540

WhatsApp is a widely popular messaging app used for communication. This study focuses on analyzing WhatsApp group chats, aiming to assess member activity and engagement. It seeks to determine the most active day, the highest number of messages sent on that day, the most active user, active group members, the total user count, individual message contributions, and the most frequently used phrase. Additionally, it conducts daily, monthly, and annual analyses of the top 15 members’ messages. Furthermore, the study aims to predict emotions within the text, such as joy, sadness, and anger, using a deep learning algorithm known as LSTM. The model's performance is evaluated using a dataset from Kaggle comprising 16,000 English language records with various emotions, with validation accuracy as the key metric for emotion analysis. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Active learning

来源：评论

学校读者我要写书评

暂无评论

Analysis of Semiconductor Chip Performance using Medallion Architecture 7

Analysis of Semiconductor Chip Performance using Medallion A...

引用

7th International Conference on Inventive Computation Technologies, ICICT 2024

作者： Shabu, S.L. Jany Nirmal Kumar, P. Rohith Kumar, S. Maheswari, M. Refonaa, J. Sathyabama Institute of Science And Technology Department of Computer Science And Engineering Chennai India

ISBN: (纸本)9798350359299

This research presents a meticulous investigation into semiconductor chip performance using a data engineering methodology. Employing the Medallion Architecture, the study comprehensively analyses various CPU performance metrics, including Integer Math, Floating Point Math, Random String Sorting, Data Encryption, Data Compression, Physics, Extended Instructions, and Single Thread operations. The project, consummated via Microsoft Fabric and Python integration, aims to decipher intricate CPU behaviours across diverse computational workloads. This in-depth exploration not only elucidates these metrics but also aims to derive critical insights essential for advancing chip design and optimizing computational efficiency. The findings of this rigorous analysis contribute significantly to the understanding and utilization of semiconductor chip performance within contemporary computing paradigms. © 2024 IEEE.

关键词： Program processors

来源：评论

学校读者我要写书评

暂无评论

Fusing Multimodal Streams for Improved Group Emotion Recognition in Videos 27th

Fusing Multimodal Streams for Improved Group Emotion Recogni...

引用

27th International Conference on Pattern Recognition, ICPR 2024

作者： Kumar, Deepak Dhamdhere, Piyush Raman, Balasubramanian Department of Computer Science and Engineering Indian Institute of Technology Roorkee Roorkee247667 India

ISBN: (纸本)9783031783043

Recognizing social cues and emotions is vital for navigating daily interactions, understanding emotions in conversations, interpreting body language in meetings, and supporting friends in difficult situations. This work focuses on analyzing group-level emotions in videos captured in natural settings, marking an attempt at multimodal group-level emotion analysis. Automatic group emotion recognition is pivotal for understanding complex human-human interactions. Group emotion recognition in videos presents several challenges because existing work predominantly focuses either on individual emotion recognition or group emotion analysis in static images. To address this challenge, we introduce a deep-learning-based multimodal fusion model that integrates diverse modalities, including audio, video, and scene. Feature extraction employs advanced models like TimeSformer for video description and wav2vec2.0 for audio analysis. All the experiments are conducted on the VGAF dataset. Our key findings include: (1) Multimodal approaches outperform their unimodal counterparts, (2) Experimental results confirm the superior performance of proposed approach compared to benchmark methods on the given dataset, and (3) There is a strong correlation between modalities and respective emotions. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

A comparative analysis for deep-learning-based approaches for image forgery detection

International Journal of Systematic Innovation

引用

International Journal of Systematic Innovation 2024年第1期8卷 1-10页

作者： Ch, Ravikumar Radha, Marepalli Mahendar, Maragoni Manasa, Pinnapureddy Department of Artificial Intelligence &Data Science Chaitanya Bharathi Institute of Technology Hyderabad 500075 India Department of Computer Science and Engineering CVR College of Engineering Hyderabad 501510 India Department of Computer Science and Engineering Neil Gogte Institute of Technology Hyderabad 500039 India

The detection of counterfeit photographs is critical in the digital age because of the widespread development of digital media and its significant impact on social networks. The legitimacy of digital content is being threatened by the growing sophistication of picture counterfeiting. With the help of pre-trained VGG-16 models and deep learning techniques that integrate Error Level Analysis (ELA) and Convolutional Neural Networks (CNNs), this study presents a fresh solution to this problem. The study thoroughly assesses and contrasts these models with a dataset that has been carefully chosen to bring the presented findings into perspective. To ensure a reliable evaluation of each model's performance 5000 experiments were carried out in total. With an accuracy rate of 99.87% and an accurate identification rate of 99% of hidden forgeries, the results demonstrate the exceptional effectiveness of the ELA-CNN model. However, despite its robustness, the VGG-16 model only achieves a significantly lower accuracy rate of 97.93% and a validation rate of 75.87%. This study clarifies the relevance of deep learning in the identification of image forgeries and highlights the practical ramifications of various models. Moreover, the research recognizes its constraints, especially for highly advanced counterfeits, and proposes possible paths for enhancing the accuracy and scope of detection algorithms. In the ever-changing world of digital media, the thorough comparative analysis provided in this study offers insightful information that can direct the creation of accurate forgery detection tools, protecting digital content integrity and reducing the effects of image manipulation. © (2023), (Society of Sytematic Innovation). All Rights Reserved.

关键词： Counterfeit images deep learning ELA-CNN Image forgery detection VGG-16 model

来源：评论

学校读者我要写书评

暂无评论

Advances in Random and Quantum Walks: Bridging Classical and Quantum Computational Paradigms 3

Advances in Random and Quantum Walks: Bridging Classical and...

引用

3rd International Conference on Machine Learning and Data engineering, ICMLDE 2024

作者： Soni, Anurag Rasool, Akhtar Singh, Dheerendra Pratap Department of Computer Science and Engineering Maulana Azad National Institute of Technology Bhopal India

In the world of computational probing, random walks and quantum walks are two separate but tightly linked paradigms. Classical stochastic processes like random walks are based on the random movement of particles in mathematical space and have been extensively used in data mining, network analysis, computer vision, etc. Quantum walks, by contrast generalize random walks into the quantum realm, taking the benefit of the quantum superposition and interference in order to investigate multiple paths at the same time. Quantum walks provide significant potential for algorithmic development: in quantum computing and communication, and in Scientific modelling and simulation. This paper provides an in-depth survey of random walks and quantum walks, outlining historical context, fundamental principles, applications, challenges, and future prospects. In this paper, motivated by the abstractness of both random walks and quantum walks, we survey the field of computational exploration at large scales, coalescing the myriad notions and difficult challenges addressed by existing research efforts on random and quantum walks, inferring a nuanced and multifaceted view on how both random walks and quantum walks are involved in paving the way to future development in many fields. © 2024 The Authors. Published by ELSEVIER B.V.

关键词： Qubits

来源：评论

学校读者我要写书评

暂无评论

Multi-stage generative adversarial network model for segmenting retinal vascular structures in eye disease prediction

引用

Journal of Medical engineering and technology 2025年 1-26页

作者： Bhanuse, Roshan S. Yenurkar, Ganesh Singh, Kavita R. Mal, Sandip Mane, Sulakshana B. Kachhwah, Rahul Rajbhar, Neeraj Take, Saksham Thakre, Tejas Department of Computer Technology Yeshwantrao Chavan College of Engineering Maharashtra Nagpur India School of Computing Science and Engineering VIT Bhopal University Bhopal India Department of Computer Engineering Bharati Vidyapeeth College of Engineering Maharashtra Navi Mumbai Mumbai India

Retinal vessel segmentation is essential for precise ophthalmological diagnoses, particularly in the prediction of retinal degenerative diseases. However, existing methods usually lack robustness and accuracy, especially in segmentation of thin or overlapping vessels. To face these challenges, this study introduces an enhanced retina-RV-Gain segmentation model, which employs an architecture of various stages to refine the results of segmentation iteratively. The model integrates attention mechanisms to better capture complex vessel structures and employs an adaptive loss function to manage class imbalance. In addition, a specially designed discriminator enhances the model’s ability to distinguish fine details from background noise vessels. The proposed RV-Gan is trained in comprehensive data sets that comprise retinal images, segmentation masks and noted labels, including Stare-DB, Chase-DB1 and Drive, using the Python platform. Experimental results demonstrate a segmentation accuracy of up to 99% in normal, abnormal and base vessels. These findings highlight the potential of the model to significantly improve diagnostic accuracy and support early prediction of disease in clinical ophthalmology. Overall, the enhanced RV-Gan architecture offers a robust solution to the limitations of current approaches, providing segmentation of high fidelity retinal vessels and advancing the predictive analysis of retinal degenerative conditions. © 2025 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Image segmentation

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：