检索结果-内蒙古大学图书馆

SARCASAM Analysis in Social Networks Using Deep Learning Algorithm

Procedia computer science 2025年 252卷 510-518页

作者： Priya M Vijaya kumar K Vennila P Prasanna M A Professor Dept. of Computer Science and Engineering E.G.S. Pillay Engineering College Nagapattinam -611002 Lecturer Dept. of Computer Science and Engineering Women’s Engineering College Puducherry- 605008 Asst. Professor Dept. of Computer Science and Engineering E.G.S. Pillay Engineering College Nagapattinam -611002 Asst. Professor Dept. of Computer Science and Engineering K.Ramakrishnan college of Technology Trichy -621112

Twitter is the one of the biggest social media sites, where users may share their thoughts, ideas, and opinions as well as discuss current events and live tweets. In the subject of opinion mining, creating reliable and effective algorithms for sarcasm detection on Twitter is an intriguing task. Sarcasm is the use of positive language to convey depressing emotions while speaking in opposition to one’s own intentions. Sarcasm is frequently employed on social networking and micro blogging platforms, where users can offend others and find it difficult to express their true feelings. The deep learning technique utilised in the current algorithms to identify these sarcastic tweets has the limitation of not being able to predict continuous variables. A novel deep learning algorithm is proposed to identify both positive and negative terms as well as sarcasm in comments. Deep neural networks are used to classify the comments into positive and negative word categories. Customers’ opinions are mined using sentiment analysis to find and extract information from the text. Sarcastically stated statements from social networking sites can be quickly categorised and recognised by using VADER (Valence Aware Dictionary and Sentiment Reasoner).

关键词： Data analytics Sarcasm Lexical dictionary N-gram Deep learning Text mining

来源：评论

学校读者我要写书评

暂无评论

Enhancing Network Lifetime of WSNs through the Implementation of a Modified Ant Colony Optimization Algorithm

引用

Procedia computer science 2023年 230卷 368-376页

作者： Malathi Murugesan Kanimozhi R Dharani K G Devi D Assoc. Professor Dept. of Electronics and Communication Engineering E. G. S. Pillay Engineering College Nagapattinam - 611002 Asst. Professor Dept. of Computer Science and Engineering Bharathiyar Institute of Engineering for Women Deviyakurichi Assoc. Professor Dept. of Electronics and Communication Engineering Akshaya College of Engineering & Technology Coimbatore Asst. Professor Dept. of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology

Energy efficient routing has been the mainstay of research in wireless sensor networks. With rising utility of WSNs in a broad range of applications, a significant volume of research contributions are targeted towards obtaining an energy efficient routing with a good quality of service (QoS) metric. In recent times, the utility of evolutionary algorithm for such multi-objective problems has been on the rising trend as evolutionary models closely mimic the real time scenario of any problem optimization. In this research work, a modified ant colony optimization (M-ACO) has been proposed and implemented for optimization in terms of energy conservation and thereby to extend the network lifetime of the network

关键词： WSN Intelligent Routing Energy Efficiency Modified Ant Colony Optimization Hierarchical protocols

来源：评论

学校读者我要写书评

暂无评论

Computational Overhead Analysis for Mitigation of Content Poisoning Attack in NDN-based IoT Body Area Networks

引用

Procedia computer science 2023年 230卷 257-263页

作者： M Priya S Castro K Sathesh Kumar N Kalaivani Assoc. Professor Dept. of Computer Science and Engineering E.G.S. Pillay Engineering College Nagapattinam 611002 Asst. Professor Dept. of Information Technology Karpagam College of Engineering Coimbatore 641032 Asst. Professor Dept. of Electronics and Communication Engineering Vivekanandha College of Engineering for Women Tiruchengode 637205 Assoc. Professor Dept. of Electronics and Communication Engineering Sri Krishna College of Engineering and Technology Coimbatore 641041

The Body Sensors Network has developed into a significant element of the Medical IoT. Massive data gathering from a resource-constrained network represents a laborious procedure in IoT equipped BSN/WBAN, creating a number of difficult problems. Conventional communication protocols may be used on IoT platforms without any alterations and provide impractical techniques for large-scale networks. The new architecture known as ICN has the potential to overcome these difficulties in huge data collection. According to this perspective, the proposed work indicates a CPA mitigation strategy for information centric WBANs.

关键词： Named Data Networks CP attacks, Efficiency, Overhead analysis

来源：评论

学校读者我要写书评

暂无评论

Optimizing Wireless Sensor Network Routing Through Memetic Algorithms: Enhancing Energy Efficiency and Data Reliability

引用

Procedia computer science 2023年 230卷 150-157页

作者： Aishwarya D Saranya S Sathiya A Samuel Manoharan J Asst. Professor/Dept. of Computer Science and Engineering School of Computing Sathyabama Institue of Science and Technology Chennai India Asst. Professor (SS)/ Dept. of Computer Science and Engineering Dr. N.G.P Institute of Technology Coimbatore India Research Scholar/Dept. of Electronics and Communication Engineering M. Kumarasamy College of Engineering Karur India Professsor/Dept. of Electronics and Communication Engineering Sir Issac Newton College of Engineering and Technology Nagapattinam India

Memetic Algorithm Based Routing in Wireless Sensor Networks (WSNs) is an innovative approach for optimizing data transmission routes within a network of interconnected sensors. Traditional routing algorithms often fail to consider the dynamic and resource-constrained nature of WSNs, resulting in inefficient energy utilization and decreased network lifetime. By incorporating principles of natural selection, crossover, and mutation from genetic algorithms, along with local search methods, memetic algorithms offer a more adaptive solution. This research aims to implement a memetic algorithm to find the optimal routing paths while minimizing energy consumption and maximizing data delivery ratio. Preliminary results indicate a significant improvement in the network's overall performance metrics, including a longer lifespan and higher data reliability, compared to traditional routing methods.

关键词： Wireless Sensor Networks Energy Efficient Routing Memetic Computing Evolutionary algorihtms

来源：评论

学校读者我要写书评

暂无评论

Effect of Emotional Valence and Emotional Support on the Psychological Well-Being of Caregivers – Analysis Based on Facebook Alzheimer's Community

SSRN

引用

SSRN 2022年

作者： Sridevi, Mutyala Kumar, Arun B.R. VTU Research Centre and Asst. Professor Department of MCA BMS Institute of Technology and Management Bangalore India VTU Research Centre Department of MCA and Professor Department of Computer Science and Engineering BMS Institute of Technology and Management Bangalore India

The use of social media by patients and caregivers for emotional and psychological support has increased with the advent of interactive online platforms like Facebook that host number of disease support communities. The Emotional Valence exhibited and Emotional Support received by the participants of these communities help the healthcare researchers and professionals understand about an individual’s psychological well-being. Up keeping the caregiver mental condition helps in overcoming the trauma faced by them during caregiving to patients, especially, with Alzheimer’s who encounter diverse but intense symptoms of cognitive deterioration and increased dependence. An ensemble learning model has been proposed to predict the option for trauma counselling by the caregivers of Alzheimer’s patients which demonstrates better performance than the base estimators under study. Neuropsychologists and psychologists would be interested in the results of current research to provide timely and personalised care to the caregivers culminating in healthy and happy caregiving responsibility. © 2022, The Authors. All rights reserved.

关键词： Deterioration

来源：评论

学校读者我要写书评

暂无评论

IoT based Power and Water Theft Detection in Urban Cities

IoT based Power and Water Theft Detection in Urban Cities

引用

Sustainable Communication Networks and Application (ICSCNA), International Conference on

作者： Praful V. Nandankar G.N.R. Prasad M. Lakshminarayana Mr. Doddabasappa N G. Satish Ramya Maranan Assistant Professor Department of Electrical Engineering Government College of Nagpur Maharashtra India Sr. Asst. Professor Department of Master of Computer Application Chaitanya Bharathi Institute of Technology (A) Hyderabad India Assistant Professor Department of Medical Electronics Engineering M S Ramaiah Institute of Technology Karnataka India Assistant Professor School of Electrical and Electronic Engineering REVA University Bengaluru Karnataka India Associate Professor Department of Electrical and Electronics Engineering Sree Dattha Institute of Engineering and Science Sheriguda Ibrahimpatnam Hyderabad Telangana India Assistant Professor Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai India

Many people in metropolitan areas have experienced problems with energy and water shortages. Some people used modern technologies and advancements to theft water and power illegally. Because the planet absolutely needs both water and power. Currently, the Internet of Things (IoT), smart meters, smart pipelines, and smart homes are being heavily integrated to replace traditional systems for detecting theft activities. This can be digitizing both the meter readings and the data that has been gathered. Wireless technology may be used to collect and analyze the data, which helps to reduce the need for physical labor. In this project, we suggested creating an IoT-based system for water and power theft detection. The proposed project aims to design a system to monitor the amount of power and water used by the people and indicates if water and electricity theft activities happen. This research study offers a user interface system to help people to monitor whether anyone is stealing their water or power. This study employs a hardware like voltage sensors, current sensors, flow sensors, and additionally, the Arduino IoT cloud to enable remote control and monitor the water and power usage.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Bridging the Skill Gap Between Academia and Industry in Punjab: A Case Study 20

Bridging the Skill Gap Between Academia and Industry in Punj...

引用

Proceedings of the 12th International Conference on Education Technology and computers

作者： Gulam B. Mustafa Kadhiravan G Venkatesh Vijay C Malathi S Subburaj S Ashwan Paranthaman UG Scholar at Panimalar Engineering College India Senior Lecturer Computer EngineeringBirmingham City University UK Professor Computer Science Engineering Panimalar Engineering College India Asst. Professor Computer Science Engineering Panimalar Engineering College India Associate Professor Panimalar Medical College Hospital & Research Institute India

ISBN: (纸本)9781450388276

Over the past years, the number of students going abroad for higher studies and settling abroad has increased a lot in northern states of India mainly in Punjab whereas it's significantly less in south India. The purpose of this research is to find the reasons for the brain drain also analyzing the strategies used by south Indian universities so that those ideas can be implemented in Punjab so that the brain drain can be reduced. Using a credits composition analysis for two universities, this study analyzed that the College in Punjab had more credits towards practical and college in South India had more credit composition towards theory. This analysis gave us a result that Panimalar engineering College has found a sweet spot in the composition of credits along with some other factors. Using a comparative analysis of various factors for various south Indian Universities along with Punjab University, we have found out that there are many other factors that also influence's the brain drains along with Industry Institute Relationship. We have found out the methodologies used by south Indian universities to prevent brain drain. This study definitively answers the question regarding reasons for brain drain in Punjab along with the solutions to overcome it. Further Detailed studies are needed along with the implementation of these ideas to develop preventative measures.

关键词： Curriculum Employability Employability skills Higher education Strategies or approaches

来源：评论

学校读者我要写书评

暂无评论

Medical Data Classification Using Velocity Enhanced Whale Optimization Algorithm

Medical Data Classification Using Velocity Enhanced Whale Op...

引用

Advances in Computing and Future Communication Technologies (ICACFCT), International Conference on

作者： Soumya Das Monalisa Nayak Manas Ranjan Senapati Jeetamitra Satapathy Asst. Professor Computer Science Engineering Government College of Engineering Kalahandi Kalahandi India Asst. Professor Electronics and Telecommunication Engineering Indira Gandhi Institute of Technology Sarang Dhenkanal India Information Technology Veer Surendra Sai University of Technology Burla Sambalpur India Principal SD &amp Technical Education GOVT. ITI Bhubaneswar Bhubaneswar India

ISBN: (数字)9781665420761

ISBN: (纸本)9781665420778

Early diagnosis of the disease helps the patients to get through the disease. Diagnosis of medical datasets are carried out by different machine learning approaches. In this paper, Velocity Enhanced Whale Optimization Algorithm (VEWOA) is taken as classification algorithm to predict three different varieties of medical datasets like Heart disease, Echocardiogram and Hepatitis and then compared with Whale Optimization Algorithm (WOA). The classification accuracy of VEWOA-NN is 97.2 percentage in heart disease dataset, 96 percentage in echo-cardiogram dataset and 92.5 percentage in Hepatitis dataset. The performance validation is done with the help of Root Mean Square Error (RMSE) and time.

关键词： Support vector machines Heart Liver diseases Machine learning Communications technology Classification algorithms Root mean square

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence and Deep Learning for Weapon Identification in Security Systems

引用

Journal of Physics: Conference Series 2021年第1期2089卷

作者： Makkena Brahmaiah Srinivasa Rao Madala Ch Mastan Chowdary M.Tech. Scholar Department of Computer Science and Engineering Professor & HOD Department of Computer Science and Engineering Asst. Professor Department of Computer Science and Engineering PACE Institute of Technology and Sciences

As crime rates rise at large events and possibly lonely places, security is always a top concern in every field. A wide range of issues may be solved with the use of computer vision, including anomalous detection and monitoring. Intelligence monitoring is becoming more dependent on video surveillance systems that can recognise and analyse scene and anomaly occurrences. Using SSD and Faster RCNN techniques, this paper provides automated gun (or weapon) identification. Use of two different kinds of datasets is included in the proposed approach. As opposed to the first dataset, the second one comprises pictures that have been manually tagged. However, the trade-off between speed and precision in real-world situations determines whether or not each method will be useful.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Publicly Verifiable Vibrant Digital Medical Information Systems

引用

Journal of Physics: Conference Series 2021年第1期2089卷

作者： Shaik Sumi Anju BSN Sravani Srinivasa Rao Madala M. Tech. Scholar Department of Computer Science and Engineering Asst. Professor Department of Computer Science and Engineering Professor & HOD Department of Computer Science and Engineering PACE Institute of Technology and Sciences

As data processing advances, decentralized media has been widely recognized for its ability to store large amounts of data. By comparing a revisited content to a dispersed repository, a cloud provider may verify the document's integrity without having to retrieve it. A reconsidered examining strategy is offered to lead the customer to reconsider the significant assessing task to third sector inspector, taking into consideration the important computing cost brought up by the checking process (TPA). TPA may be deterred by the primary revisited evaluating strategy, but the second plan gives the harmful organization the right of inspection over the readdressed data of users, which poses a significant risk to patient privacy. Human Emphasis for reconsidered inspection is presented in this work, which emphasizes that the service user can be overwhelmed by her own data. Based on user-centered design, our suggested methodology not only prevents patient's data from leaking to TPA without depending on cryptographic algorithms, but can also avoid the use of additional free unpredictable supply that is impossible to fulfill on a daily basis. Also, we start to make our approach work with continuous changes. Our recommended scheme is both verifiably safe and essentially productive, as shown by the privacy analysis and test evaluations.

关键词：

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：