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Optimized Deep Learning Model using Medical Imaging for CAD applications 3

Optimized Deep Learning Model using Medical Imaging for CAD ...

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3rd international conference on Machine Learning and Data Engineering, ICMLDE 2024

作者： Deepanshi Malik, Sameer Gupta, Madhuri Pantola, Deepika School of Computer Science Engineering and Technology Bennett University Uttar Pradesh 201310 India Samsara San FranciscoCA94103 United States

Since the COVID-19 outbreak in 2019, its rapid global spread led to significant losses across various sectors and disrupted medical facilities worldwide due to the surge in cases. The shortage of doctors highlighted the need for IoMT applications to assist medical professionals in early and accurate decision-making. This paper presents an approach to developing compressed deep learning models with ensemble XAI (Explainable Artificial intelligence) for SARS-CoV-2 detection using CXR and CT-Scan images. The proposed approach addresses the constraints of deep learning models, such as high computational complexity and lack of interpretability, while maintaining accuracy in identifying COVID-19 cases. Techniques like model compression, pruning, quantization, and ensemble XAI (including GradCAM++ and SHAP) are employed to improve robustness and interpretability. Our proposed optimized DenseNet-201 model achieved an accuracy of 97.07%, while reducing model size by 25%. Experimental results demonstrate that the method achieves competitive results while significantly reducing computational complexity. © 2024 The Authors. Published by ELSEVIER B.V.

关键词： Deep learning

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Traffic Prediction with Network Slicing in 5G: A Survey 3

Traffic Prediction with Network Slicing in 5G: A Survey

引用

3rd international conference on Artificial intelligence and Smart Energy, ICAIS 2023

作者： Kulkarni, Dhanashree Venkatesan, Mithra Kulkarni, Anju.V. Dr. D.Y.Patil Institute of Technology Electronics and Telecommunication Engineering Pune India Dayananda Sagar College of Engineering Electronics and Telecommunication Engineering Bengaluru India

ISBN: (纸本)9781665462167

In modern communication systems there are heterogeneous service request from the applications like mobile devices, virtual reality, automatic driving cars, IoT devices. These devices have different QoS requirements in which network slicing enabler plays a vital role in 5G. Network Slicing unfolds a new paradigm for the providers as well as for the users. In this context the resource management has gained importance in the field of networking. Since a huge data is been generated by these devices, it is very difficult to deliver high performance with resource utilization. In such situation these traditional monitoring techniques will not be able to handle such a huge data. Towards this, the researchers have started applying with Deep learning techniques with the network monitoring system. This paper focuses on the work done towards one of the key components of network analysis (i.e.) traffic prediction. This study has reviewed the articles, which have proposed the deep learning techniques for traffic prediction towards resource management in network slicing.*CRITICAL: Do Not Use Symbols, Special Characters, Footnotes, or Math in Paper Title or Abstract. (Abstract) © 2023 IEEE.

关键词： 5G mobile communication systems

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Data Mining-based Classification Methods for Mental Health Prediction 3

Data Mining-based Classification Methods for Mental Health P...

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

作者： Boina, Roja Sangeethapriya, S. Pokhariya, Hemant Singh Sharma, Ashish Rao, A.L.N. Singh, Surendra Morrisville NC United States H&s Department of English Chennai India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Gla University Department of Computer Engineering and Applications U. P. Mathura281406 India Lloyd Institute of Engineering and Technology Department of CSE Greater Noida India Quantum University Uttarakhand Roorkee India

ISBN: (纸本)9798350322842

The advancement of mental health education and prognosis is crucial since the mounting pressures of contemporary society have contributed to an increase in psychological issues. In order to assess mental health intelligence, this research work suggests a method that makes use of data mining and classification algorithms. An improved method is created to overcome the shortcomings of existing methods by integrating decision trees with Artificial Neural Network (ANN) algorithms. Using data mining-derived compound learning algorithms, the system analyses and classifies mental health IQ test data. To assess the system's effectiveness and superiority, novel simulation tests are carried out. In order to increase accuracy and efficacy, the research also presents new methods for assessing mental health intelligence. While ensuring stability, the suggested system seeks to address the drawbacks of the current approaches. © 2023 IEEE.

关键词： Decision trees

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Application of artificial intelligence in urban intelligent traffic management system 3

Application of artificial intelligence in urban intelligent ...

引用

2022 3rd international conference on Computer Information and Big Data applications, CIBDA 2022

作者： Zhang, Chenkai Hainan University Hainan China

ISBN: (纸本)9783800758760

As China's economy continues to grow, so does the transportation system. At the same time, the rapid increase of vehicles and the lack of road construction will lead to increasing traffic problems, which require more intelligent transportation concepts. In this paper, we will analyze the current specific application of artificial intelligence technology in intelligent transportation, and make judgments on the future occasions that artificial intelligence may be utilized in urban intelligent transportation management based on the development of cities and the trend of artificial intelligence development in recent years, and comprehensively analyze the development status and trend of urban intelligent transportation management system, in order to play an enlightening role in the future development of smart cities in China. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Urban transportation

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Artificial intelligence Indulgence in Protection of Cybercrime 3

Artificial Intelligence Indulgence in Protection of Cybercri...

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

作者： Nautiyal, Radhika Jha, Radhey Shyam Kathuria, Samta Singh, Rajesh Kathuria, Abhinav Pandey, Vaibhav Uttaranchal University Law College Dehradun Dehradun India Uttaranchal University Lcd Division of Research & Innovation Dehradun India Uttaranchal University Uit Division of Research & Innovation Dehradun India

ISBN: (纸本)9798350322842

It is difficult to picture life in the twenty-first century without the internet. Everything and anything can be reached quickly and easily with just one click adding to its disadvantages alongside to all of its benefits. Any illegal behaviour that is carried out online or using a computer is considered a cybercrime. The risk of cybercrime has expanded dramatically along with technology and the internet. Cybercrime can have serious repercussions;include monetary losses, theft of identity, and even dangers to national security. The use of AI is used extensively to prevent cybercrime in order to address this growing menace. Artificial intelligence (AI) based IDS serve to quickly identify and stop cyber-attacks, eliminating the potential harm that it may cause. The study examines the application of AI in preventing cybercrime, as well as the algorithms it employs and its potential applications in the future are all covered in this study. It also focuses at how to use AI to strengthen and improve cybercrime detection and tracking. Finally, the findings of proposed research is discussed and draw the conclusion that AI has a substantial impact on cybercrime detection and prevention. © 2023 IEEE.

关键词： Intrusion detection

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A Path Planning Algorithm for Mobile robot Based on MR-QL in the Unknown Scene 3

A Path Planning Algorithm for Mobile Robot Based on MR-QL in...

引用

3rd international conference on Computer, Big Data and Artificial intelligence, ICCBDAI 2022

作者： Fu, Zongli Liu, Zhandong Hu, Chuangye Ding, Nan College of Computer Science and Technology Xinjiang Normal University Urumqi China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Dalian University of Technology Dalian China

The Q-Learning (QL) algorithm is widely used for path planning. As the scene in which the mobile robot is located becomes complex, the algorithm suffers from the limitations of low convergence speed and long exploration paths. Therefore, a Max Reward-Q-learning (MR-QL) path planning algorithm based on maximum reward is proposed for complex unknown scenarios. The original algorithm's discrete reward function and action selection strategy are improved, and a new reward function is designed to dynamically adjust the reward mechanism to heuristically guide the robot motion. The action selection strategy is also optimized to avoid invalid exploration and improve the algorithm's convergence. Finally, three experimental environments with different complexity are constructed to demonstrate the feasibility of the proposed algorithm. The simulation results show that the MR-QL algorithm is about 50% of the original algorithm in terms of exploration step length and training time, and the convergence speed of the algorithm is better than the original algorithm. © Published under licence by IOP Publishing Ltd.

关键词： Mobile robots

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Design of a bionic snake-like robot 3

Design of a bionic snake-like robot

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3rd international conference on Mechanical, Electronics, and Electrical and Automation Control, METMS 2023

作者： Meng, Xianyu Zhao, Songrui Yu, Xiquan Liu, Hongsheng Wang, Shuo Department of Changchun University of Science and Technology Jilin Province Changchun China

ISBN: (纸本)9781510666689

Bionics is a subject that studies various excellent characteristics such as the structure, function and information control of organisms. These characteristics will give us a lot of inspiration in terms of mechanical design and will also provide new construction ideas for practical engineering applications. In this paper, based on the structural characteristics of the natural biological snake, a bionic snake-like robot with a meandering posture is designed. Bionic snake-like robot uses STM32F103ZET6 MCU and 16-way servo control board as the main control unit. The servo provides the driving force. Through the use of pulleys and various sensors, functions such as various attitude movements and real-Time detection are realized. Using Solidworks software to carry out 3D modeling of the bionic snake-like robot and make a bionic snake-like robot model for experimental testing. The physical model size is 120mm*120mm*850mm. The results show that: on a relatively flat ground, the time for the bionic snake-like robot to move through a horizontal distance of 1m is about 5.50s. The bionic snake-like robot runs stably during the test and has no stuttering phenomenon. © 2023 SPIE. All rights reserved.

关键词： Bionics

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Dense reconstruction of substation room with LSD SLAM 3

Dense reconstruction of substation room with LSD SLAM

引用

3rd international conference on Artificial intelligence, Virtual Reality, and Visualization, AIVRV 2023

作者： Li, Zhaoqing Zhao, Xiaoxuan Li, Yihui College of Intelligence Science and Technology National University of Defense Technology Changsha China Faculty of Electrical and Control Engineering Liaoning Technical University Hu Ludao China

ISBN: (纸本)9781510671485

With the development of digital transmission and transformation systems, digital substations have become a prevalent trend in the electric power industry. However, the presence of many electrical components in substation environments with varying textures poses challenges for the reconstruction of a digital three-dimensional model and robot operation. To deal with that problem, this paper introduces the rich line features present in substation environments into the front-end feature tracking of 3D reconstruction in order to improve the accuracy of the 3D reconstruction. The optimized LSD algorithm is utilized for extracting line features in weak texture scenes. Additionally, a line segment merging algorithm is proposed to reduce the rate of mismatched line features and avoid redundancy through the combination of similar or repeated line segments. Finally, the paper presents a novel line feature matching method based on geometric constraints during the stage of online feature matching, which has the ability to improve matching accuracy while decreasing matching time. The experimental results demonstrate that the front-end visual odometer's optimization method proposed in this paper can offer better feature extraction and matching initial values compared to traditional methods for nonlinear optimization of the back-end of 3D reconstruction and loopback detection. © 2023 SPIE.

关键词： Textures

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Precision Agriculture Using IOT technology with a Case Study of Coffee Beans Production 3rd

Precision Agriculture Using IOT Technology with a Case Study...

引用

3rd international conference on Machine Vision and Augmented intelligence, MAI 2023

作者： Pawar, Sumathi Samaga, B. L. RajaLakshmi Pandith, Karuna Nayak, Vasanth Geetha, V. Thinakaran, Rajermani NMAM Institute of Technology Karnataka Nitte Karkala574110 India ISE Department Canara Engineering College Karnataka Benjanapadavu Bantwal575219 India Department of Information Technology NITK Karnataka Suratkal India Data Science and Information Technology INTI International University Negeri Sembilan Nilai Malaysia

ISBN: (纸本)9789819743582

World population is rapidly increasing which requires similar increase in food production. Agriculture is playing an important role in the world economy. Nowadays precision agriculture is the best method to be practiced by the farmers. Sensors, communication technology, and data analysis are building blocks of smart farming in precision agriculture process. This paper is focused on a survey of precision agriculture using IOT and details about various sensors used with a case study of Coffee beans production in Coffee estate. Various sensors used in pre-production, production, and post-production of coffee beans are discussed. This paper also addresses the need of communication technology and its ranges for suitability of smart farming, besides a review is conducted on applications of IOT in various tasks of precision agriculture. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart agriculture

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Image Acquisition and Storage System of Binocular Camera Based on FPGA 3

Image Acquisition and Storage System of Binocular Camera Bas...

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3rd international conference on Artificial intelligence, Big Data and Algorithms, CAIBDA 2023

作者： Liu, Bingkun Wang, Dashuai Liu, Jianhua Changchun University of Science and Technology China

ISBN: (纸本)9781643684444

In order to better solve the problem that image processing technology is strict in real-time and stability, a binocular camera image acquisition and storage system based on FPGA is designed with the advantage of FPGA parallel processing. The system uses Xilinx ARTIX-7 XC7A35T as the master chip to control the CMOS camera as the image sensor for image acquisition, stores the acquired images in DDR3 SDRAM, and displays the images in the host computer by reading the memory data. The results show that the system has good real-time performance and stability, and meets the requirements of image transmission and processing. © 2023 The Authors.

关键词： Field programmable gate arrays (FPGA)

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