检索结果-内蒙古大学图书馆

4th International Conference on Information Management and Machine Intelligence, ICIMMI 2022

作者： Kashyap, Ratnesh Singh, Juhi Sinha, Shweta Amity School of Engineering and Technology Amity University HARYANA India School of Computer Science and Engineering Manipal University Jaipur RAJASTHAN JAIPUR India

ISBN: (纸本)9781450399937

technology in education has the potential to drive pupils to learn in a more interactive and perceptible manner. The application presented here is focused on the used materials during the teaching-learning process, such as text and photos, and displays a major 3-dimensional model or video on the screen. These applications provide the students by boosting them to peruse innovative ideas by using the graphical guide. Apart from utilizing it in school, it can be used for higher education in universities. The advantages of Augmented Reality are also discussed in comparison to old tactics such as chalkboards and textbooks. The findings demonstrate that, in general, Augmented Reality technologies offer good potential and benefits that can be applied in education. The paper also identifies AR's shortcomings, which could be solved through further research. © 2022 ACM.

关键词： Education computing

来源：评论

学校读者我要写书评

暂无评论

A deep learning approach to analyse stress by using voice and body posture

引用

Soft Computing 2025年第3期29卷 1719-1745页

作者： Gupta, Sumita Gambhir, Sapna Gambhir, Mohit Majumdar, Rana Shrivastava, Avinash K. Pham, Hoang Amity School of Engineering & Technology Amity University Noida India Department of Computer Science George Mason University WashingtonVA United States Verispire Consulting Corporation San FranciscoCA United States Sister Nivedita University Kolkata West Bengal Calcutta India IMI Kolkata West Bengal Kolkata India Department of Industrial and Systems Engineering Rutgers University PiscatawayNJ United States

In the current scenario, where we can see young people struggling for their careers, they are even fighting a battle with their stress and tension. None of their work is done without stress to complete their task and compete with others. To overcome stress, one should have good emotional intelligence to cope with emotions and any upcoming stress. But at some point, due to lack of guidance, some people don’t know how to analyze the situations and how to handle them without taking the stress and end up with anxiety, depression, disappointment, suicide, heart attack, stroke etc. Due to the advancement of Human–computer Interaction (HCI), medical science has leveled up to another peak. Machine Learning and Deep Learning played a major role in such interactions and predictions. Many applications have been developed in past years based on machine learning and deep learning. One of those applications is related to psychology and is still in research. These applications can be used for emotion and stress analysis among people, especially youngsters. Research in this field is being conducted using various verbal and non-verbal parameters. This paper addresses the research problem of improving emotion recognition accuracy and robustness to better analyze and manage stress. The primary objective is to develop an advanced Emotion Recognition System (ERS) that leverages deep learning algorithms to analyses both verbal and non-verbal cues—specifically, speech and body posture, including facial expressions. We have further integrated it with the Flask web framework to make an Emotion Recognition System that takes input in the form of video and audio to analyze Emotions and Stress. We have also compared our proposed ERS with existing ones and found that our ERS gives better results. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Enhancing Autonomous Vehicle Navigation with Real-Time Object Detection Using Convolutional Neural Networks 7

Enhancing Autonomous Vehicle Navigation with Real-Time Objec...

引用

7th International Conference on Contemporary Computing and Informatics, IC3I 2024

作者： Kotiyal, Arnav Alsalami, Zaid Boob, Nandini Shirish Badhoutiya, Arti Mounika, T. Jayanthi, Muthuswamy Chaturvedi, Prateek Graphic Era Deemed to be University Department of Computer Science & Engineering Dehradun India The Islamic university College of technical engineering Department of computers Techniques engineering Najaf Iraq Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Tamil Nadu Chennai India Gla University Department of Electrical Engineering Mathura India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India New Horizon College of Engineering Department of Electronics and Communication Engineering Bangalore India Amity University Amity School of Engineering & Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

Autonomous vehicles' (AVs) capacity to identify and categorise things in real-time is crucial to their development for the sake of efficient and safe navigation. Because of its exceptional capability to learn spatial feature hierarchies automatically, Convolutional Neural Networks (CNNs) have become an indispensable tool for object identification in intricate visual recognition problems. This research offers a thorough analysis of convolutional neural networks (CNNs) used for autonomous vehicle object identification in real-time, with an emphasis on improving detection accuracy and speed. We compare the processing speed, detection accuracy, and computational efficiency of several CNN designs, such as YOLO (You Only Look Once), SSD (Single Shot Multibox Detector), and Faster R-CNN. In addition, to address the demanding realtime needs of autonomous driving systems, we suggest CNN design improvements that use hardware acceleration methods like GPU and TPU optimisations. The experimental findings show that our suggested method significantly reduces detection latency while maintaining accuracy, which makes it suitable for use in real-world AV settings. Autonomous vehicle technology advances thanks to this study's results, which aid in building scalable and reliable object identification algorithms. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Improved Dynamic Johnson Sequencing Algorithm(DJS)in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading

引用

Journal of Systems science and Systems engineering 2024年第4期33卷 391-424页

作者： Anurag Sinha Pallab Banerjee Sharmistha Roy Nitasha Rathore Narendra Pratap Singh Mueen Uddin Maha Abdelhaq Raed Alsaqour Department of Computer Science Engineering ICFAI Tech SchoolICFAI UniversityJharkhandRanchi834004India Department of Computer Science Engineering Amity UniversityJharkhandRanchi835303India Department of Computing and Information Technology Usha Martin UniversityRanchi835103India Department of Information Technology Bharti Vidyapeeth’s College of EngineeringPaschim ViharNew DelhiIndia Department of CSE Delhi UniversityNew DelhiIndia College of Computing and Information Technology University of Doha for Science and TechnologyDoha24449Qatar Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdurrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia

This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm(DJS).Emphasizing on-demand resource sharing,typical to Cloud Service Providers(CSPs),the research focuses on minimizing job completion delays through efficient task *** Johnson’s rule from operations research,the study addresses the challenge of resource availability post-task *** advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue *** Dynamic Johnson Sequencing Algorithm and the M/M/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative *** research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing.

关键词： First come first served(FCFS)scheduling round robin task scheduling queuing model Johnson scheduling algorithm

来源：评论

学校读者我要写书评

暂无评论

Modified Blowfish Encryption Standard with Optimization Strategy for Secured Cloud Storage with Data Dynamics

Modified Blowfish Encryption Standard with Optimization Stra...

引用

Information technology, Electronics and Intelligent Communication Systems (ICITEICS), IEEE International Conference on

作者： Prabhdeep Singh Pawan Singh Abhay Kumar Agarwal Anil Kumar Computer Science and Engineering Amity School of Engineering and Technology Lucknow India Computer Science and Engineering Kamla Nehru Institute of Technology Suitanpur India Amity School of Engineering and Technology Lucknow Amity University Uttar Pradesh India

ISBN: (数字)9798350382693

ISBN: (纸本)9798350382709

Organizations and individuals can store, transport, and backup a rising quantity of data at an affordable cost through the assistance of cloud storage service providers, who also give them access to other cloud services. Cloud service providers use the most popular separation approach to offer effective data storage as it reduces upload capacity and storage expenses by allowing the storage of only one instance of data while eliminating multiple copies. When customers upload data to the cloud, their primary concerns are related to data security, integrity, privacy, and confidentiality. It is not advised to use traditional encryption, which is typically used to encrypt data when outsourcing, since it interferes with the data dynamics technique. This study suggested a new security architecture for cloud data storage using modified blowfish encryption to rectify these kinds of problems. Secure storage, outsourcing, and the proxy-re-encryption phase are the three stages. During the secure storage phase, a modified version of the blowfish technique is suggested for data encryption. The Kookaburra optimization algorithm is utilized for obtaining the optimal key. Auditing, proof, verification, File Access request, and file download are the five processes that occur throughout the outsourcing phase. Ultimately, the final stage of the suggested work is proxy re-encryption. In this case, the data user requests a key for a proxy, where the data owner has already transmitted the encrypted data key and the proxy provides the data user access to the encoded key. Lastly, a comparison of the suggested approach with various security methods validates its superiority.

关键词： Cloud computing Heuristic algorithms Memory Organizations Encryption Outsourcing Information technology

来源：评论

学校读者我要写书评

暂无评论

Comparative analysis of different mining approaches for Blockchain in infant care application on IoT 5

Comparative analysis of different mining approaches for Bloc...

引用

5th International Conference on Information Systems and computer Networks, ISCON 2021

作者： Pandey, Happy Singh, Yajush Pratap Singh, Yashwant Singh, Prabhishek Diwakar, Manoj Pandey, Neeraj Kumar Amity University Amity School of Engineering Technology Department of Computer Science Engineering Uttar Pradesh Noida India Department of Computer Science Engineering Uttarakhand Dehradun India DIT University Department of Computer Science Engineering Dehradun India

ISBN: (纸本)9781665403412

Ambient means environmental elements, helped living means the kind of houses inserted with innovations that assistance in regular daily existences, in an entire it implies the utilization of environmental elements advancements to improve living and autonomous without hindering other individual life. Ambient Assisted Living (AAL) is a subclass of Ambient understanding, which concerns the use of incorporating savvy strategies, systems and advances to enable people to live uninhibitedly for a long as could be anticipated in light of the current situation, without intrusive practices. In this exploration work has been made to do relative investigation between two distinct agreement calculation verification of work and confirmation of stake in Blockchain utilizing python for information gathered and put away of elements temperature, second, moistness, pressing factor, sound and light. The time taken to mine a square in the verification of stake is less contrasted with the time taken to mine a square in confirmation of work which is putting away information of elements influencing the independence of an individual. This review assists with recognizing the most reasonable agreement calculation to store information in Blockchain. © 2021 IEEE.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Agriculture by Automated Plant Disease Detection and Management Using Advanced Imaging Techniques and Xception Neural Network

Revolutionizing Agriculture by Automated Plant Disease Detec...

引用

2024 International Conference on Artificial Intelligence and Emerging technology, Global AI Summit 2024

作者： Kaur, Upinder Bharany, Salil Vats, Satvik Kumar, Anand Kaushik, Keshav School of Computer Science and Engineering Lovely Professional University Punjab Phagwara144411 India Chitkara University Institute of Engineering and Technology Chitkara University Rajpura India Graphic Era Hill University Department of Cse Dehradun India Graphic Era Deemed to be University Dehradun India Amity School of Engineering and Technology Amity University Mohali Punjab India

ISBN: (纸本)9798350379716

The number of agricultural items produced, productivity, economic prosperity, and crop yield are all significantly reduced as a result of plant diseases. Considering that agricultural products account for 70% of India's GDP, it is imperative to control and reduce plant disease losses. Controlling plants from the very beginning of their life cycle is essential to reducing the incidence of these diseases. The only method of supervision used in the past was eye observation, which necessitates a large time, resource, and specialist knowledge commitment. Therefore, it is essential to automate this process by employing a disease detection methodology. It is essential to design an imaging-based illness detection system. Plant diseases are identified by the use of image processing. The process of detecting diseases include taking photographs, pre-processing them, segmenting them, collecting pertinent information from them, and then categorising them. This study looked at the identification of plant illnesses using photos of leaves and the treatment of identified diseases with pesticide recommendations. Specific methods for dividing and extracting plant pathogens during detection were also included in the debate. A comparison study found that Xception outperformed other pretrained deep learning models with an astonishing accuracy of 97.82%. In terms of accuracy, Xception performs better than other well-known models as ResNet50 (97.45%), MobileNetV2 (95.84%), InceptionV3 (96.57%), and VGG16 (94.35%). This paper emphasises how cutting-edge neural network architectures may improve disease detection precision, support more sustainable crop management practices, and boost agricultural output. © 2024 IEEE.

关键词： Agriculture Image Processing Plant Disease Detection Xception

来源：评论

学校读者我要写书评

暂无评论

Inventory Model for Imperfect Deteriorating Items Under Fuzzy Environment 11

Inventory Model for Imperfect Deteriorating Items Under Fuzz...

引用

11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Mittal, Mandeep Pandey, Jayanti Tripathi Jain, Muskan School of Computer Science Engineering and Technology Bennett University Uttar Pradesh Greater Noida India Amity Institute of Applied Sciences Amity University Uttar Pradesh Department of Mathematics Uttar Pradesh Noida India

ISBN: (纸本)9798350350357

The aim of this study is to introduce the application of fuzzy numbers in an Economic Order Quantity (EOQ) model for defective items under deterioration. In practice, the fuzziness of parameters tends to reduce over time compared to the theoretical assumptions, which justifies the use of fuzzy numbers. The proposed model starts with crisp approach which later involves the fuzzification of inventory parameters, such as demand rate, holding cost, deterioration rate, purchase cost, screening cost, and ordering cost, to account for uncertainty and imprecision. The triangular fuzzy numbers are utilized to represent these parameters, and a fuzzy model is developed accordingly. To defuzzify the model, Yager's ranking index is adopted, and a detailed comparison is made between crisp and general fuzzy solutions. The model is validated through numerical examples and graphical illustrations, followed by a thorough sensitivity analysis to gain a deeper comprehension of how modifications in parameters affect the optimal solution. © 2024 IEEE.

关键词： Deterioration

来源：评论

学校读者我要写书评

暂无评论

Investigating the Relationships Between Smoking, Anxiety, and Psychological Distress via SPSS Analysis 3rd

Investigating the Relationships Between Smoking, Anxiety, an...

引用

3rd International Conference on Universal Threats in Expert Applications and Solutions, UNI-TEAS 2024

作者： Bansal, Devyanshi Sharma, Sudiksha Das, Nripendra Narayan Jain, Ranjna Kumar, Praveen Department of Computer Science and Engineering Amity School of Engineering and Technology Noida India Department of Information Technology Manipal University Jaipur Rajasthan Jaipur India Manav Rachna University Faridabad India Astana IT University Astana Kazakhstan

ISBN: (纸本)9789819738090

Tobacco usage is the most prevalent form of smoking and constitutes one of the primary factors contributing to sickness and premature mortality across the globe. Smoking cigarettes is linked to a wide range of adverse health effects, such as the increased risk of lung cancer, cardiovascular disease, stroke, and a host of respiratory illnesses. Nicotine, tar, carbon monoxide, and several other substances found in tobacco smoke have all been linked to an increased risk of developing cancer. Apart from this, the threats to one’s health and smoking may also have negative impacts on one’s relationships and finances. A well-designed survey was used to collect the information that was used to compile the results of this research. There was a total of 306 people who participated in the poll as respondents. In this research, SPSS was used to find out whether there is any connection between smoking, anxiety, and depression. As a result, it was found that there is no statistically noteworthy link between smoking habits and feelings of mental stress, anxiety, or depression. The findings of this research suggest that there is no necessary connection between adolescent smoking habits and one’s mental health. Interventions should not just give information about the long-term hazards that adolescents regard as significant;rather, they should also include knowledge about the social dangers that teenagers find to be so essential. This is part of an attempt to decrease teen smoking. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Carbon monoxide

来源：评论

学校读者我要写书评

暂无评论

Empowering Job Seekers by a Natural Language Solution for Personalized Job Descriptions and Enhanced Employment Prospects through Clustering Techniques

Empowering Job Seekers by a Natural Language Solution for Pe...

引用

2024 International Conference on Artificial Intelligence and Emerging technology, Global AI Summit 2024

作者： Kaur, Upinder Bharany, Salil Vats, Satvik Kumar, Anand Kaushik, Keshav School of Computer Science and Engineering Lovely Professional University Punjab Phagwara144411 India Chitkara University Institute of Engineering and Technology Chitkara University Rajpura India Department of Cse Graphic Era Hill University Dehradun India Graphic Era Deemed to be University Dehradun India Amity School of Engineering and Technology Amity University Punjab Mohali India

ISBN: (纸本)9798350379716

This Paper is based on our project which aims at implementing a Natural Language based solution which would deliver job descriptions based on a few criteria like preparing the transformed dataset, performing NLP processing to rank the best features in the Job Description, training transformer model and implementing an API endpoint which can be consumed over the web. The input data has been refined and data dictionaries have been created to generate Job description based on job title and skills. To anticipate the token that should come after the input, we have trained the GPT2 decoder transformer model to use the most recent token embedding of the input sequence. The study concludes that it is critical for job searchers to customize job descriptions according to an individual's talents, prior experiences, and educational background. While most of the research to date has focused on the client side of the hiring process, the suggested model seeks to empower job searchers by giving them customized job descriptions, which increases the likelihood that they will find acceptable employment. To provide insights into a variety of disciplines and help job searchers better grasp the dynamics of the recruiting process, the initiative made use of an extensive dataset. K-means clustering and DBScan clustering were two of the models and hyperparameters investigated within the project's time restrictions. K-means clustering improved context knowledge, albeit at the expense of adding noise to the data. Subsequent developments may entail investigating topic modeling and clustering strategies in greater detail to strengthen the model. Prospective directions for further research encompass utilizing Part of Speech (POS) tagging to extract distinct portions of job descriptions, implementing machine learning techniques to enhance synonym lists, and investigating substitute text creation models if preliminary efforts provide inconclusive results. With these developments, the suggested mod

关键词： Investments

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：