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共 6129 条记录，以下是341-350 订阅

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An Implementation of Photovoltaic Solar Panel Monitoring System Based on Internet of Things 3

An Implementation of Photovoltaic Solar Panel Monitoring Sys...

引用

3rd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Saranya, J. Divya, V. School Of Computing Sciences Vels Institute Of Science Technology & Advanced Studies Chennai India School Of Computing Sciences Vels Institute Of Science Technology & Advanced Studies Department Of Information Technology Chennai India

ISBN: (纸本)9798350318609

The Internet of Things (IoT) is a contemporary technology that enhances user experience and adds intelligence to objects. Numerous applications have already embraced the Internet of Things. The Internet of Things (IoT) has greatly simplified and increased the accessibility of our lives. Society will be better equipped to safeguard future generations by reducing greenhouse gas emissions and ozone depletion as long as everyone uses renewable energy. These PV technologies are growing in popularity because they are so widely available, reasonably priced, and easy to install and maintain. Monitoring is required to determine the current condition of each solar photovoltaic cell in a solar panel. This monitoring is necessary to detect any defects in the solar cell and implement repair actions in addition to guaranteeing that the solar panel continues to function properly. In this study, an Internet of Things-based solar panel monitoring system is implemented, and the MPPT algorithm is used to track maximum power. © 2024 IEEE.

关键词： Liquid crystal displays

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Fully Automated Pothole Detection and Repair System using Artificial intelligence 3

Fully Automated Pothole Detection and Repair System using Ar...

引用

3rd international conference on Pervasive Computing and Social Networking, ICPCSN 2023

作者： Hulwan, Dattatray Rane, Milind Dalvi, Anirudha Kulkarni, Anvay Shah, Aayush Bhave, Ameya Arawat, Vhanneshwar Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798350322842

India has many areas with poorly maintained roadways. In addition to causing physical problems like back discomfort and injured spines, potholes and uneven roadways can harm automobiles. This work demonstrates a completely autonomous robot that can identify and fix roads overnight at the lowest possible cost utilizing a high accuracy machine learning algorithm. The suggested model makes use of YOLO framework models, which have the highest (Placeholder1) accuracy according to MENG YANG (2020). The testing information is gathered from different automobiles across the nation. To increase the robot's accuracy, the hardware for the system makes use of various sensors that collect inputs and cross-validate the findings. The robot uses LIDAR, IMU, and ultrasonic sensors to determine the depth of potholes and identify structural problems on roads. The suggested model can reduce the cost of fixing a road by 60%. © 2023 IEEE.

关键词： Optical radar

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A Review on the Capability and Smart Contract Potential of Block chain technology 3

A Review on the Capability and Smart Contract Potential of B...

引用

3rd international conference on Smart Data intelligence, ICSMDI 2023

作者： Singh, Devansh Malhotra, Mrs Vimmi Depatment of Computer Science and Engineering Dronachary College of Engineering Gurgaon India

ISBN: (纸本)9781665464871

There has been a lot of buzz about blockchain technology lately, thanks to the success of digital currencies like Bitcoin and Ethereum. All of these applications of blockchain technology have received a lot of attention. Bitcoin and Ethereum were able to process 7 and 15 TPS, respectively, when they were launched, whereas VISA and PayPal were able to process 1700 and 193 TPS. Scalability, which may be described as the capability to modify the block size to accommodate the rising traffic, is the most significant barrier to the widespread adoption of blockchain technology. This article aims to examine blockchain applications, including their applications, smart contracts, and the solutions to those problems. It is vital to scale blockchains while maintaining their fundamentally decentralised nature to appreciate these technologies' promise fully. The successful implementation of scalability solutions is necessary for several reasons, including the provision of services whose performance is on par with that of prevalent technologies, the support of innovative applications, and the maintenance of the workload produced by an expanding user base. In the future, this study will be extended by considering the options that contributors provide as an initiative towards resolving these issues. © 2023 IEEE.

关键词： Smart contract

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Blood Bank with Philanthropic Match Maker in Cloud Computing 3

Blood Bank with Philanthropic Match Maker in Cloud Computing

引用

3rd international conference on Applied Artificial intelligence and Computing, ICAAIC 2024

作者： Daniel, Dino Giftlin Rajasekar, M. Hindustan Institute of Technology and Science Department of Computer Applications Chennai India

ISBN: (纸本)9798350375190

In a variety of situations, including accidents, surgeries require blood immediately. Blood bank management and blood donation are essential for saving the lives of those in critical conditions. This article will address the immediate need for blood donation in emergency situations in an appropriate and more effective manner and it aims to look at the incorporation of cloud computing (CC) in the area of healthcare, especially in blood bank management and monitoring blood donors. Cloud computing is utilized to securely store the data of blood donors. Making it possible to coordinate communication between blood donors, recipients, clinics, and/or blood banks by developing a blood bank donor system. The main target of creating a cloud-based blood bank system is to enable on time blood supply for individuals, including at emergencies. The user is able to view details about any blood bank-related entity, such as hospitals, donors, and the location of another blood bank, etc., with the aid of application. This application will help find nearby donors and send them notifications via text in addition to showing the list of donors, allowing the patient to receive blood service as soon as possible. © 2024 IEEE.

关键词： Cloud computing

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Innovative applications and Effectiveness Evaluation of AI technology in Blended Learning Models for English Majors in the Digital Age 24

Innovative Applications and Effectiveness Evaluation of AI T...

引用

3rd international conference on Artificial intelligence and Education, ICAIE 2024

作者： Lyu, Jiaorong Huang, Yong Guangzhou Institute of Science and Technology Guangdong Guangzhou China Guangdong Medical Devices Quality Surveillance and Test Institute Guangdong Guangzhou China

ISBN: (纸本)9798400712692

In the digital age, artificial intelligence (AI) technology has revolutionized education, particularly in English language learning. This study focuses on the innovative applications and the effectiveness of AI in blended learning models for English majors at Guangzhou Institute of Science and technology(GIST), as well as challenges and limitations of AI technology in actual learning. The purpose of this study is to evaluate the effectiveness of AI technology in enhancing English proficiency for English majors. The research subjects are 275 English-major students from GIST. The study adopted a questionnaire survey to assess students' levels of English proficiency in the application of of AI technology. The results revealed that the application of AI technology in blended learning models significantly improved students' English proficiency, including vocabulary, inflection, cloze, reading comprehension, translation, and writing. Moreover, this study also summarizes applications of AI technology in blended learning model, including personalized learning recommendation system, intelligent assisted learning tools and AI-empowered blended learning processes. Furthermore, this study investigates challenges and limitations of AI technology in actual learning, including technical limitations, data privacy and security issues, and lack of interpersonal interaction. Meanwhile, suggestions were raised to ensure that AI can empower the blended learning more effectively and safely. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Students

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Comparative Analysis of Convolutional Neural Networks for Brain Tumor Detection: A Study of VGG16, ResNet, Inception, and DenseNet Models 3

Comparative Analysis of Convolutional Neural Networks for Br...

引用

3rd international conference on Applied Artificial intelligence and Computing, ICAAIC 2024

作者： Mukesh Kumar, C. Sree Sankar, J. Karunya Institute of Technology and Sciences Department of Computer Science Engineering Coimbatore India

ISBN: (纸本)9798350375190

This research work evaluates VGG16 against ResNet, Inception, and DenseNet models in a comparative analysis of convolutional neural network (CNN) architectures for brain tumour identification. The research study explores the effectiveness of these cutting-edge CNN architectures in precisely diagnosing brain tumours by utilising a collection of medical photographs. It is shown by thorough testing and analysis that VGG16 performs better in terms of classification accuracy than ResNet, Inception, and DenseNet models. The evaluation metrics encompassing accuracy, precision, recall, and F1-score highlight the superior performance of VGG16, showcasing its robustness and effectiveness in detecting brain tumors from medical images. Moreover, a comprehensive analysis of the computational complexity and training time associated with each model is conducted, providing insights into their practical viability in real-world applications. These findings contribute to the advancement of medical image analysis and provide valuable guidance for researchers and practitioners in selecting suitable CNN architectures for brain tumor detection tasks. © 2024 IEEE.

关键词： Convolutional neural networks

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Monitoring of Smart Human Resource (HR) Using Artificial intelligence and Internet of Things 3

Monitoring of Smart Human Resource (HR) Using Artificial Int...

引用

3rd international conference on Sentiment Analysis and Deep Learning, ICSADL 2024

作者： Bhatt, Aditi Singh, Tilottama Pandey, Shweta Chauhan, Ashish Singh Kumar, Rakesh Sunil, G. Uttaranchal Institute of Management Uttaranchal University Dehradun India Uttaranchal University LCD Division of Research and Innovation Dehradun India Uttaranchal University UIPS Division of Research and Innovation Dehradun India School of Computer Science and Artificial Intelligence SR University Warangal India

ISBN: (纸本)9798350396157

The usage of AI and IoT technology in smart HR has generated a IoT of attention in recent years. This research paper explores the potential applications of smart HR. AI and IoT Examining the study on AI and IoT technology and its impact on developing, reinforcing and changing the culture of an organization. It also discusses the potential benefits and challenges of incorporating AI and IoT in smart HR including analyzing employee interactions to identify behavior that could lead to issues or litigation software and other technologies The goal of this study is to analyze the benefit of industrial revolution 4.0. The study finds that AI and IoT have the potential to change how employees engage with goods and shops, and can offer unique and engaging shopping experiences that can increase employees satisfaction and loyalty. However, there are still several technological, logistical, and ethical challenges that must be addressed before AI and IoT become effectively be woven into an employee on boarding program. © 2024 IEEE.

关键词： Personnel

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Digital Evidence Management: Modern Techniques in Digital Forensics 3

Digital Evidence Management: Modern Techniques in Digital Fo...

引用

3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Venkataramanan, N. Jayalakshmi, V. Anitha, S. Ganesan, R. Jenifer, V. Drbccc Hindu College Department of Computer Applications Pattabiram Chennai600072 India Department of Computer Science and Applications Ramapuram600089 India Anna University St. Joseph's College of Engineering Department of Artificial Intelligence and Machine Learning Chennai600119 India Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Chennai600062 India Department of Computer Science and Applications Ramapuram Campus 600089 India

ISBN: (纸本)9798331509675

This research study reviews the significance of digital forensic analysis in modern criminal investigations, highlighting the way it complements conventional methods of inquiry and the difficulties it encounters in the information era. To solve crimes effectively, investigators must combine digital knowledge with traditional forensic techniques. This will enable them to use evidence from many different types of digital and physical sources. The specific intricacies of digital crime scenes need specialized methods for the proper storage and analysis of digital evidence to identify criminal intent and patterns of conduct. To propose Modern Techniques for Digital Evidence Management [MT-DEM] based Digital Forensics Service. Multidisciplinary teams and cutting-edge technology are becoming necessities in digital forensic investigation as the field adjusts to new threats like data encryption and massive amounts of data. The admissibility of evidence in the legal world depends on digital forensic procedures being transparent and adhering to set criteria. Digital forensic analysis has become an indispensable tool for contemporary investigators with the rise of digital evidence. © 2025 IEEE.

关键词： Forensic science

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Exploring CNN Architectures for Seizure Detection from MRI during Pregnancy 3

Exploring CNN Architectures for Seizure Detection from MRI d...

引用

3rd international conference on Applied Artificial intelligence and Computing, ICAAIC 2024

作者： Nayak, Geetanjali Padhy, Neela Madhab Mishra, Tusar Kanti Giet Unviersity Dept. of Computer Science and Engineering Odisha Gunupur India Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Department of Computer Science and Engineering Karnataka Manipal India

ISBN: (纸本)9798350375190

Deep Learning (DL) represents a subset that has revolutionized traditional machine learning. Unlike earlier methods relying on handcrafted feature extraction, DL automates both feature extraction and classification. This innovation has significantly advanced applications in various medical domains, including the diagnosis of epileptic seizures. This research provides a comparative overview of studies concentrating on automated epileptic seizure detection using leading convolutional neural networks (CNN) architectures. It explores diverse architectures proposed for the automatic diagnosis of epileptic seizures through MRI, encompassing an analysis of rehabilitation systems utilizing DL. The proposed work investigates the application of four primitive CNN architectures on the identification of onset of seizure. The proposed architectures are validated through benchmark MRI samples. Experimental evaluation is made on samples of pregnant females. Overall rate of accuracy stands at 85%, 80%, 90%, and 95% respectively. © 2024 IEEE.

关键词： Network architecture

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Research on Logistics Network Optimization Based on Artificial intelligence 3

Research on Logistics Network Optimization Based on Artifici...

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3rd IEEE international conference on Distributed Computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Pan, Hongmin Li, Mei Yang, Chenming Shandong Institute Of Commerce And Technology Jinan China

ISBN: (纸本)9798350318609

With the continuous development of global trade and the rapid growth of the logistics industry, logistics network optimization has become an important topic for improving efficiency, reducing costs, and enhancing competitiveness. This paper aims to study the logistics network optimization methods based on artificial intelligence (AI) to improve the efficiency and effectiveness of logistics operations. Firstly, the background and significance of logistics network optimization are discussed. Then, the applications of AI in the logistics field are introduced, and its potential in logistics network optimization is explored. Next, the key technologies and methods of AI-based logistics network optimization are elaborated, including path planning, cargo allocation, warehouse management, and other aspects. Finally, the effectiveness and feasibility of the proposed methods are validated through case analysis and simulation experiments, and the potential impact on the logistics industry is discussed. The experimental results demonstrate significant advantages of AI-based logistics network optimization methods in improving operational efficiency, reducing costs, minimizing errors and delays, and enhancing customer satisfaction. These results provide a strong basis for the logistics industry to further promote and apply AI-based logistics network optimization technologies. © 2024 IEEE.

关键词： Motion planning

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