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共 1061 条记录，以下是81-90 订阅

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BERT: Extractive Text Summarization 5

BERT: Extractive Text Summarization

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Kumar, Abhishek Delhi Technological University Department Of Computer Science And Engineering New Delhi India

ISBN: (纸本)9798350330861

In the last ten years, the disciplines of artificial intelligence, machine learning, and data science have experienced substantial growth. Artificial Intelligence is a crucial area of research that enables us to obtain accurate and concise information through Text Summarization Techniques. this project demonstrates the practical application of extractive text summarization technique, using the BERT model. the process involves obtaining a single sentence through extractive summarization and comparing it with the human-generated summarized text. the Rouge value, which represents the Precision, Recall, and accuracy between the two summaries, is calculated. © 2023 IEEE.

关键词： Signal encoding

来源：评论

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A Review of Object Detection Algorithms for Autonomous Vehicles: Trends and Developments 5

A Review of Object Detection Algorithms for Autonomous Vehic...

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Garg, Harshit Bhartee, Ajeet Kumar Rai, Anubhav Kumar, Mayank Dhakrey, Anuj Galgotias College Of Engineering And Technology Computer Science And Engineering Greater Noida201306 India

ISBN: (纸本)9798350330861

this review article compares many object detection techniques that are routinely employed in autonomous cars. the study's goal is to give insights into current trends and advancements regarding the industry as well as to emphasize the virtues of each algorithm. the study evaluates the performance of many cutting-edge algorithms, including YOLO, SSD, RCNN, and Faster R-CNN, on several parameters like accuracy, speed, and robustness. the paper also covers the constraints and restrictions that these algorithms confront in real-world circumstances, as well as recent breakthroughs in this field. Overall, this review gives a thorough overview of the object recognition algorithms utilised in autonomous cars, as well as valuable insights for academics and researchers working in this field. © 2023 IEEE.

关键词： Autonomous vehicles

来源：评论

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Bugzilla Bug Tracking System 5

Bugzilla Bug Tracking System

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Singh, J.N. Gupta, Km Vidhi Kumar, Saket Priya, Richa Saini, Kavita Galgotias University School Of Computer Science & Engineering Greater Noida India

ISBN: (纸本)9798350330861

Bug tracking systems enable developers to log and track bugs in a centralized system, making it easier to manage and prioritize issues, assign tasks to team members, and track progress. they also provide a way for users to report bugs and issues, giving developers valuable feedback and insight into how the application is being used. this collaborative approach to bug tracking reflects a shift towards a more user- centric approach to software development, where developers are encouraged to engage with users and respond to their needs and concerns. © 2023 IEEE.

关键词： Program debugging

来源：评论

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Real Estate Price Prediction 5

Real Estate Price Prediction

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Panvelkar, Nirzar Budkuley, Prabhakar Sawant, Chintan Mishra, Ashish Faldessai, Avishka Dsouza, Merwyn Don Bosco College Of Engineering Computer Engineering Department Goa India

ISBN: (纸本)9798350330861

Predicting property prices in cities like Bengaluru and Pune remains a challenging and intricate task. the sale value of properties in these cities is influenced by numerous factors, including the property's area, location, and various other variables. this research undertakes an analytical study, utilizing publicly available datasets that encompass diverse features of various properties. the aim is to develop a predictive model for assessing property prices based on the influencing factors. the modeling process involves employing regression techniques such as Linear Regression, Multiple Linear Regression, and various classification algorithms like XG Boost. these methods are utilized to construct predictive models, and the selection of the best-performing model is determined through a comprehensive analysis. © 2023 IEEE.

关键词： Machine learning

来源：评论

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Enhancing Self-Driving Capabilities: A Design Architecture Leveraging Sensor Systems and cloud computing 11

Enhancing Self-Driving Capabilities: A Design Architecture L...

引用

11th international conference on Traffic and Logistic engineering, ICTLE 2023

作者： Xiao, Ruitong Jiang, Yueyin Chengdu University of Technology Chengdu China

ISBN: (纸本)9798350339642

this paper endeavors to accomplish Level 4 and Level 5 self-driving by devising a design architecture for cloud-based self-driving vehicles. It incorporates a hybrid positioning navigation method [24, 25] and diverse sensing systems [9, 5, 7, 27] to capture precise environmental information, along with Inertial Measurement Unit (IMU) sensors and wheel odometry to complement other sensors and improve positioning accuracy and stability [26, 27, 25]. the architecture utilizes a combination of Vehicular Ad hoc Network (VANET), Internet of Vehicles (IoV), and in-vehicle millimeter wave systems for high-level information communication [9, 8]. To enable real-time monitoring, analysis, and application of vehicle data, the architecture leverages cloud computing, particularly the Amazon Web Services (AWS) platform [10, 11], and takes into account data security risks. the research in this paper is important for promoting the development of autonomous driving technology and provides valuable references for research and practical applications in related fields. © 2023 IEEE.

关键词： cloud computing

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Literature Review: Metamaterials in RF and Microwave Applications 5

Literature Review: Metamaterials in RF and Microwave Applica...

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Manikandan, P. Pushpavanam, B. Swedheetha, C. Naveen, P. Akilan, T. Muneeswaran, V. Kalasalingam Academy Of Research And Education Department Of Electronics And Communication Engineering Krishnankoil India Psna College Of Engineering And Technology Department Of Electrical And Electronics Engineering Dindigul India Velammal College Of Engineering And Technology Department Of Computer Science Engineering Madurai India Kpr Institute Of Engineering And Technology Department Of Eee Coimbatore India Amity University Department Of Iqac Kolkata India

ISBN: (纸本)9798350330861

A metamaterial is a structure that has been artificially created and has negative refractive index properties that are not present in nature or are difficult to achieve. this property makes the Metamaterials as very popular in the microwave to optical research areas. Now a days many researchers focusing metamaterials to improve the performance of antennas or antenna arrays like improving antenna gain, bandwidth, compactness, etc. Also, metamaterials play major role on developing the novel optical devices for new applications like optical super lenses, perfect absorber, invisible cloaks, etc. this paper focusses the properties of metamaterial, metamaterial structure and the metamaterial applications in RF and microwave areas. © 2023 IEEE.

关键词： Metamaterials

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Ad Hoc Network based Android Messaging Apps 5

Ad Hoc Network based Android Messaging Apps

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Singh, Prachee Srivastava, Yatindra Kumar Rahul Sharma, Shelja Department Of Computer Science & Engineering Galgotias College Of Engineering & Technology Greater Noida201306 India Department Of Computer Science & Engineering School Of Engineering & Technology Sharda University Greater Noida201306 India

ISBN: (纸本)9798350330861

In areas with weak internet and cellular connectivity, mobile communication can become unreliable or even impossible. Even though there are numerous Android chat messenger applications available for this purpose, connectivity issues caused by external factors like physical link breakdowns or congestion in the network are significant obstructions that disrupt the process. In this paper, various existing chat applications have been analyzed and it has been intended to analyze the existing hurdles in communication due to various factors. Overall, the study suggests that the Bluetooth-based chat messenger application may offer a better user experience and lower memory requirements as compared to existing internet- based chat applications. this paper would also provide insights to other scholars, researchers & academicians to work further in the area. © 2023 IEEE.

关键词： Bluetooth

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Automated Attendance Management System 5

Automated Attendance Management System

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Goyal, Pranshu Nigam, Vishwas Khan, Shahnaw A.J. Singh, Shashi Kant Galgotias College Of Engineering And Technology Dept. Of Computer Science And Engineering India

ISBN: (纸本)9798350330861

the manual process of recording and managing attendance in educational institutions and organizations is often time-consuming, prone to errors, and inefficient. To address these challenges, there is a growing need for automated attendance management systems. this research paper presents the design and implementation of an Automated Attendance Management System (AAMS) using modern technologies. the AAMS utilizes various technologies such as biometric recognition, RFID (Radio Frequency Identification), and computer vision to accurately and efficiently track attendance. the system aims to simplify the attendance recording process for both students and instructors, reduce administrative burden, and improve overall efficiency. the proposed AAMS incorporates biometric recognition techniques, such as fingerprint scanning or facial recognition, to identify and verify the identity of individuals. © 2023 IEEE.

关键词： Efficiency

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A Multi-Objective Particle Swarm Optimization based Current Control and Torque Control for 8/6 Switched Reluctance Motor 5

A Multi-Objective Particle Swarm Optimization based Current ...

引用

5th international conference on Control, communication and computing, ICCC 2023

作者： Monish, M. Hari Kumar, R. College of Engineering Trivandrum Department of Electrical Engineering Kerala Thiruvananthapuram India

ISBN: (纸本)9798350334128

the high torque ripples developed in the switched reluctance motor (SRM) limit its usage for high-performance applications. the methods designed to lower the torque ripple affects the efficiency of drive system. this paper introduces a comprehensive analysis of particle swarm optimization (PSO) based tuning of the hysteresis current controller and direct instantaneous torque controller for a 4-phase 8/6 SRM. the controller parameters and commutation angles are optimized for reduced torque ripple, improved efficiency, and better steady-state performance. Simulations are run in the MATLAB/SIMULINK environment and the results support the efficacy of the suggested method. © 2023 IEEE.

关键词： Torque control

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Detection of Brain Tumour using CNN in Federated Machine Learning 5

Detection of Brain Tumour using CNN in Federated Machine Lea...

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Bhadauriya, Siddharth Merothiya, Tanishk Yadav, Shiv Chandra Chandraprabha, M. Galgotias College Of Engineering And Technology Computer Science And Engineering Greater Noida India Galgotias College Of Engineering And Technology Greater Noida India

ISBN: (纸本)9798350330861

Brain tumours are a deadly illness that kills many people. the earlier a brain tumour is detected, the better the treatment, and the longer the patient lives. Artificial intelligence (AI), which has recently emerged as a promising strategy for the early identification of cancers, is a crucial subject of research in the diagnosis of brain tumours. the implementation of brain tumour makes advantage of federated machine learning. It's a method for building AI models without allowing anybody else to view or access your data, acting as a conduit for making data accessible to new AI applications. Federated learning, which is comparable to a group presentation or report, allows for remote data sharing by several persons in order to cooperatively and iteratively train a single deep learning model. Each participant downloads the model, which is typically a foundation model that has already been trained, from a cloud datacenter. CNN is the algorithm in use. Convolutional neural networks are a specific class of multi-layered neural networks. It evaluates data that is laid out in a grid-like pattern and then draws out important traits. the significant advantage of CNN use is that it requires less photo preprocessing. the suggested technique yields rapid and exact tumour site identification in addition to accurate tumour detection in the brain. this process has allowed us to attain 96% accuracy. © 2023 IEEE.

关键词： Diseases

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