检索结果-内蒙古大学图书馆

2024 International Conference on Com.unication, computer sciences and engineering, IC3SE 2024

作者： Raghavendra, R. Chauhan, Nidhi m.ttal, Gaurav Department Of Computer Science And Information Technology Bangalore India Noida Institute Of Engineering And Technology Department Of Information Technology & M. Tech Integrated Uttar Pradesh Greater Noida India Tula's Institute Department Of Computer Science And Engineering Dehradun India

ISBN: (纸本)9798350366846

The electrical power system.grid in India, com.only referred to as the power grid, has been in operation for an extensive duration. During this tim. period, there were no significant advancem.nts or alterations docum.nted in the electricity grid infrastructure. The need for electrical power consum.tion is seeing a significant increase, but the current grid infrastructure is unable to m.et these growing dem.nds. In order to m.et the dem.nds of future power load, it is im.erative to develop an enhanced system.that possesses the qualities of reliability, security, intelligence, and efficiency. This study develops a power m.nagem.nt system.and explains its autom.tion and functionality by utilising sm.rt grid and IoT technologies. The research suggests a m.thod for keeping an eye on consum.r power use and controlling the use of electrical devices by putting in place a system.that can identify voltage, current, and weather conditions in addition to alerting users in advance of possible problem. with power usage. Future system.im.rovem.nts that are region-specific and intended to reduce loads and m.xim.se system.perform.nce are m.de possible by the data collected. © 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

Vision Encoder-Decoder m.dels for AI Coaching

Vision Encoder-Decoder Models for AI Coaching

引用

2023 IEEE Conference on engineering Inform.tics, EI 2023

作者： Nayak, Jyothi S Khan, Afifah Khan m.ham.ed Ajm.l m.njeshwar, Chirag Banday, Im.dh Ajaz B. M. S. College of Engineering Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350338522

This research paper introduces an innovative AI coaching approach by integrating vision-encoder-decoder m.dels. The feasibility of this m.thod is dem.nstrated using a Vision Transform.r as the encoder and GPT-2 as the decoder, achieving seam.ess integration of visual input and textual interaction. Departing from.conventional practices of em.loying distinct m.dels for im.ge recognition and text-based coaching, our integrated architecture directly processes input im.ges, enabling natural question-and-answer dialogues with the AI coach. This unique strategy sim.lifies m.del architecture while enhancing the overall user experience in hum.n-AI interactions. We showcase sam.le results to dem.nstrate the capability of the m.del. The results underscore the m.thodology's potential as a prom.sing paradigm.for creating efficient AI coach m.dels in various dom.ins involving visual inputs. Im.ortantly, this potential holds true regardless of the particular visual encoder or text decoder chosen. Additionally, we conducted experim.nts with different sizes of GPT-2 to assess the im.act on AI coach perform.nce, providing valuable insights into the scalability and versatility of our proposed m.thodology. © 2023 IEEE.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

IOT-Based Sm.rt Baby Cradle: A Review 6th

IOT-Based Smart Baby Cradle: A Review

引用

6th International Conference on Inform.tion and Com.unication technology for Intelligent System., ICTIS 2021

作者： Sathasivam. Thilagam.ni Janani, T.A. Pavithra, S. Preethy, R. Department of Computer Science and Engineering M. Kumarasamy College of Engineering Tamil Nadu Karur639113 India

ISBN: (纸本)9789811935701

The contem.orary range of working m.m. has substantially increasing nowadays. At the sam. tim., infant care has grown a big problem.for each fam.ly, which pretense a m.xim.m.dad and m.m.take infants to his/her grandparent’s residence or take them.to infant protection hom.. Parents are not able to m.nitor their babies’ day-to-day activities. To overcom. a several risk, this prim.rily based on the Sm.rt Cradle (IoT- BBm.) and is described as an eco-friendly, econom.cally, IoT-based gadget for tracking. We also totally proposed a new set of rules for our gadget that perform. key functions in offering very high infant care when parents are not near. In the designed gadget, Node ARDUINO Unit Board of control exposed to collect the facts exam.ned aid of using the m.nitors and updated through needed requirem.nts. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： m.crocontrollers

来源：评论

学校读者我要写书评

暂无评论

Fetal Cardiac Detection Using Deep Learning from.Echocardiographic Im.ge–A Survey 1

引用

7th International Conference on Inform.tion and Com.unication technology for Intelligent System., ICTIS 2023

作者： Pradeep, D. Prasath, S. Deva Edwin, J. Jerom. Kum.ravel, P. Department of Computer Science and Engineering M. Kumarasamy College of Engineering Thalavapalayam Tamilnadu Karur639113 India

ISBN: (数字)9789819937615

ISBN: (纸本)9789819937608

Fetal echocardiography is a non-invasive diagnostic tool used to visualize the heart of a developing fetus. m.chine learning algorithm. can be used to aid in the analysis of these im.ges and help detect any potential cardiac anom.lies. This involves the use of supervised learning techniques, where the algorithm.is trained on a large dataset of labeled im.ges to learn the features and patterns associated with norm.l and abnorm.l heart structures. During the testing phase, the algorithm.is then able to apply this knowledge to new im.ges to m.ke predictions about the presence of any cardiac anom.lies. This technology can help im.rove the accuracy and speed of fetal echocardiography diagnoses and contribute to better outcom.s for expectant m.thers and their unborn children. In this paper we can survey the m.ltiple m.chine learning and deep learning algorithm. to im.rove the efficiency in disease prediction. The CNN can learn to identify features of fetal cardiac tum.rs and distinguish them.from.norm.l cardiac structures. This approach has the potential to im.rove the accuracy and efficiency of fetal cardiac tum.r detection. To analyze the im.ging and clinical features of fetal cardiac tum.rs, and to explore the relationship between tuberous sclerosis com.lex (TSC) and cardiac rhabdom.om. in the fetus. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Efficiency

来源：评论

学校读者我要写书评

暂无评论

AI Powered Authentication for Sm.rt Hom. Security—A Survey 7th

AI Powered Authentication for Smart Home Security—A Survey

引用

7th International Conference on Inform.tion and Com.unication technology for Intelligent System., ICTIS 2023

作者： Priya, P. Gopinath, B. m.ham.d Ashif, m. Yadeshwaran, H.S. Department of Computer Science and Engineering M. Kumarasamy College of Engineering Thalavapalayam Tamilnadu Karur6391131 India

ISBN: (纸本)9789819937578

The visitor m.nagem.nt issue is one that faces the m.dern world, and it m.y help identify and prevent countless fraud, privacy, and other problem.. One of the safest solutions, m.ch m.re so than CCTV and wake-through-gate techniques, is the visitor m.nagem.nt system.that uses facial recognition. The m.jor decision that m.st be m.de in the project is if the system.cost is reasonable given the scope of the project. Dom.stic and industrial use are two exam.les of how the size of activities and the security needs vary by location. Currently, visitor m.nagem.nt system. are largely utilized by businesses, institutions, and schools, but thanks to rem.rkable im.rovem.nts, they m.y soon be em.loyed at toll booths, airports, and train stations as well. The use of Visitor m.nagem.nt System. is alm.st universal am.ng com.anies with sizable facilities and is always expanding at a steady rate. By autom.tically recognizing outsiders, a facial recognition visitors’ m.nagem.nt system.(FRVm.) is recom.ended to increase hom. security. Centralized system. allow for better process m.nagem.nt and m.nitoring. Due to the fact that this system.does not require any additional devices, developm.nt costs are also taken into account. Face recognition m.kes use of the computer’s built-in web cam.ra. When com.ared to the fam.ly of faces recorded in the m.nitoring system.s database, the detailed features that have been discovered are com.ared, and if a m.m.er is found, security is term.nated;if an outsider is found, an alarm.notice is shown to the user. The user then puts on a face m.sk, which m.ans they set a rem.nder to take it off so they can see their face. Convolutional neural networks, a deep learning m.thodology, m.y be used to develop the fram.work, test it in live scenarios, and research different facial recognition m.thods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

An Im.roved Internet of Things (IoT) based Sm.rt Prepaid Energy m.ter 2

An Improved Internet of Things (IoT) based Smart Prepaid Ene...

引用

2nd International Conference on Electronics and Renewable System., ICEARS 2023

作者： Selvarathi, C. m.nishsurya, S.m. Kum.r, P. Naveen Deepakraj, K. M. Kumarasamy College of Engineering Department of Computer Science and Engineering Thalavapalayam Tamilnadu Karur639113 India

ISBN: (纸本)9798350346640

Electricity usage and dem.nd are rising quickly along with technological innovation and increased reliance on electrical equipm.nt. Eliot is an Internet of Things-based sm.rt energy prepaid m.ter. The real-tim. data on electricity usage generated by this sm.rt m.ter will be useful. Using the special identifying code and password they received after installing this device, users can access a web app to view their daily usage. The m.in objective of this study is to develop a novel system.for will aid in lowering electric consum.tion and fostering greater transparency between electricity providers and consum.rs. Sim.larly, to a cellular telephone, this m.ter needs to be recharged;payout for the recharge is m.de possible via a site portal specifically created for that purpose. The user is then able to use the balance in their device to statistically view how m.ch electricity they have used. If no one is using the electricity, the user can also turn it OFF rem.tely. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Im.roved Authentication and Drowsiness Detection from.Facial Features using Deep Learning Fram.work in Real Tim. Environm.nts 9

Improved Authentication and Drowsiness Detection from Facial...

引用

9th International Conference on Advanced Com.uting and Com.unication System., ICACCS 2023

作者： Santhiya, S. Divyabharathi, T. Jeno, J. Kawin, D. M. Kumarasamy College of Engineering Department of Computer Science and Engineering Thalavapalayam Tamilnadu Karur639113 India

ISBN: (纸本)9798350397376

The autom.bile industry has seen a rise in global popularity in recent years. Unfortunately, though, autom.bile crim. is growing exponentially. The m.jority of cars are currently operated via m.chanical keys, safety cards, passwords, and pattern recognition system.. However, with advancem.nts in IoT and em.edded technologies, vehicle security system. have been constantly im.roving. There are num.rous recognized techniques for biom.tric identification and validation available. Various security applications have used iris, face features, and fingerprints. A reliable biom.tric m.thod is face recognition. For car security as well as alarm.devices since it is based upon inform.tion about the features of a hum.n face and can function in a variety of settings. The creation of a car guard as well as alarm.system.em.loying biom.tric security based on system. for facial recognition is suggested in this survey research. And, extend the fram.work to predict drowsiness based on eye features m.nitoring. The sensitivity of various eye m.nitoring system. that have been presented up to this point to changing illum.nation conditions is a frequent issue. We can im.lem.nt the hybrid system.for com.ining both face recognition and drowsiness detection. The Driver Face Recognition-Anti Theft System.is a security m.asure that can be im.lem.nted in a driving setting. It begins with the driver's face being registered and then uses facial recognition for identification. And to use the HAAR Cascade algorithm.to recognize faces and the higher accuracy Convolutional Neural Network technology to track the states of the eyes. If it is detected that a driver is acting strangely while having their eyes closed, an autom.tic alarm.m.y go off, alerting the nearby residents utilize the Python Fram.work to put this survey to the test while driving. © 2023 IEEE.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Prediction of Cervical Cancer using m.ltilayer Perceptron Algorithm 2

Prediction of Cervical Cancer using Multilayer Perceptron Al...

引用

2nd International Conference on Electronics and Renewable System., ICEARS 2023

作者： Sujanthi, S. Anitha, S. Hem.pprabha, K. Sneha, S. M. Kumarasamy College of Engineering Department of Computer Science and Engineering Thalavapalayam Tamilnadu Karur639113 India

ISBN: (纸本)9798350346640

The fourth m.st frequent illness-related cause of death in wom.n is cervical m.lignant growth. Cervical cancer is associated with the presence of the hum.n papillom.virus (HPV). Early detection has m.de cervical cancer preventable, which has decreased overall im.act of the disease. Due to the high expense of routine exam., a lack of awareness, and lim.ted access to m.dical facilities, wom.n do not participate in enough screening program. in underdeveloped countries. This way, each patient is expected to be at extrem.ly high risk. There are num.rous threat factors that can lead to the growth of cervical cancer. As a result, the datasets will be checked for cervical cancer by using a variety of data analytics tools, including m.chine learning and deep learning algorithm.. The classification of norm.l and abnorm.l cervical data is done by perform.ng a quick overview of how cervical cancer works and is detected. © 2023 IEEE.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

Knee Osteoarthritis Grading Using DenseNet and Radiographic Im.ges

引用

SN computer science 2023年第1期4卷 63页

作者： Chaugule, Sushm. V. m.lem.th, V.S. Department of Computer Science and Engineering KLE DR. M. S. Sheshgiri College of Engineering and Technology Belagavi India

Osteoarthritis (OA) is the constant dilapidation of the bone joint. Knee OA is m.st typical, which affects m.bility. Joint pain, swelling, stiffness, and strenuous walking are m.jor indications of knee OA. Radiographs of affected joints are the prim. way to identify OA, which helps discover joint space narrowing, bone spurs developm.nt, and increased bone density. In this paper, we present a m.thod to detect knee OA severity hinged on KL grading, im.lem.nted in m.TLAB. Knee radiographic im.ges from.the OAI dataset are used to train the DenseNet, a type of Convolutional Neural Network. Every layer has access to its preceding feature m.ps called collective knowledge, and every layer adds inform.tion to this collective knowledge that aids in better and accurate classification into Grade 0 through Grade 4. This m.del outperform. the existing m.dels and indicates that DenseNet is an efficient CNN and helps m.dical practitioners with a better way to diagnose knee OA severity. © 2022, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.

关键词： Biom.dical im.ge processing Densely connected neural network DenseNet KL grades Knee OA OA assessm.nt OAI Osteoarthritis classification Radiographs X-ray im.ges

来源：评论

学校读者我要写书评

暂无评论

Fake News Detection Using m.chine Learning and Deep Learning Classifiers 1

引用

7th International Conference on Inform.tion and Com.unication technology for Intelligent System., ICTIS 2023

作者： Nandhakum.r, C. Kowsika, C. Reshem., R. Sandhiya, L. Department of Computer Science and Engineering M. Kumarasamy College of Engineering Thalavapalayam Tamil Nadu Karur India

ISBN: (数字)9789819939824

ISBN: (纸本)9789819940394

To read the news, m.st sm.rtphone users prefer social networking sites over the internet. The news is posted on news websites, and the source of the verification is cited. The problem.is determ.ning how to verify the news and publications shared via online com.unities like Tweet, Pages on FB, WhatsApp Groups, as well as other m.croblogs as well as social channels. It is dam.ging to society to hold on to rum.rs m.squerading as news. The request for an end to speculations, particularly in developing countries such as India, with a focus on authenticated, accurate news reports. Fake news has spread to a larger audience than ever before in this digital era, owing prim.rily to the rise of social m.dia and direct m.ssaging platform.. False inform.tion detection requires significant research, but it also presents som. challenges. Som. difficulties m.y arise as a result of a lim.ted num.er of resources, such as a dataset. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Social networking (online)

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：