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检索条件"任意字段=International Conference on Computer Technologies in Physical and Engineering Applications"

共 41579 条记录，以下是251-260 订阅

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Flower Classification using Pre-trained ResNet Models in computer Vision 15

Flower Classification using Pre-trained ResNet Models in Com...

引用

15th international conference on Advances in Computing, Control, and Telecommunication technologies, ACT 2024

作者： Chandra, Jyotish K. Jishnu Ashirwaad Sarbesh Pavithra, G. Ninawe, Swapnil S. Dayananda Sagar College of Engineering Bangalore India Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Bangalore India

ISBN: (纸本)9798331300579

This report explores a methodology for flower classification using a pre-trained ResNet *** approach involves fine-tuning the ResNet model on a flower dataset to achieve high classification *** processes include data preprocessing, augmentation, model training, and evaluation, resulting in a validation accuracy of 95%.The project "Flower Classification Using Pre-trained ResNet Models in computer Vision" aims to explore the capabilities of advanced deep learning techniques in accurately classifying flower *** pre-trained Residual Networks (ResNet), this study demonstrates the efficacy of transfer learning in the domain of image classification, particularly for flora *** abstract outlines the methodology, key findings, and potential applications of the project, emphasizing the significant improvements in classification accuracy and computational efficiency achieved through the use of pre-trained models. © Grenze Scientific Society, 2024.

关键词： Convolutional neural networks

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Enhancing Cyber-physical Systems Security: A Review of Deep Learning and Blockchain Integration 5

Enhancing Cyber-Physical Systems Security: A Review of Deep ...

引用

5th international conference on Image Processing and Capsule Networks, ICIPCN 2024

作者： Selvi, K. Dilip, Golda SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Computer Science and Engineering Vadapalani Campus Chennai India

ISBN: (纸本)9798350367171

Cyber-physical Systems (CPS) combine physical and computational elements to produce intelligent systems communicating with their surroundings. By integrating digital and physical processes, CPS provides increased functionality in various industries, including industry, transportation, and healthcare. However, there are security, data integrity, and privacy issues brought on by the extensive integration of CPS across several domains. Therefore, addressing these issues is significant for an effective and reliable CPS model. This study presents a comprehensive review exploring the synergistic relationship between two cutting-edge technologies, Deep Learning (DL) and Blockchain, deployed to resolve these issues in CPS. This study explores the efficiency of leveraging DL and blockchain to enhance the reliability and effectiveness of the CPS models. Also, this study examines the challenges and limitations faced by those DL and blockchain approaches during their implementation across different CPS domains. This comprehensive review provides promising directions for future research in this dynamic and interdisciplinary field for mitigating the challenges in CPS models. It also aids researchers, practitioners, and policymakers by providing a deeper understanding of the possible effects, difficulties, and opportunities related to utilizing DL and Blockchain technologies to improve the security and functionality of CPS. © 2024 IEEE.

关键词： Blockchain technologies Cyber-physical Systems Deep Learning Internet of Things

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Interactive Video Virtual Assistant Framework with Retrieval Augmented Generation for E-Learning 3

Interactive Video Virtual Assistant Framework with Retrieval...

引用

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

作者： Abraham, Shawn Ewards, Vinodh Terence, Sebastian Karunya Institute of Technology and Sciences Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350375190

In the era of a new digital world, there has been a decline in social interactions among humans in a physical setting. These concerns have made educational institutions focus on holistic development, which is recognized to be crucial for the overall growth and performance of a student. Nevertheless, concerns like inadequate student teacher and peer interactions, in an online setting can have adverse effects in the long run. This paper presents an analysis and the benefits of utilizing an interactive virtual assistant framework as a means to abridge the growing disconnect of modern technologies from the traditional classroom setting, closing in on the gap brought about by virtual learning medium. This research study examines the online and hybrid learning approach, highlighting its drawbacks in comparison to conventional teaching methodologies while trying to improve the current situation. The virtual assistant framework presented in this study makes use of cutting-edge technologies in the field of NLP dialogue systems and video generation using Wav2Lip, (a lip-sync model) and GFPGAN model for face-specific enhancement. The Virtual assistant is developed and demonstrated as a learning aid in both hybrid and physical classrooms. Further applications and performance improvements of the framework are discussed. © 2024 IEEE.

关键词： E-learning

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A Comprehensive Review of Interaction Methods for Mixed Reality Sandbox applications 4

A Comprehensive Review of Interaction Methods for Mixed Real...

引用

4th international conference on computer Vision and Pattern Analysis, ICCPA 2024

作者： Wang, Guowei Li, Zemin Li, Yifei Liu, Cong Shen, Junjie China Electronics Technology Group Corporation 15th Research Institute Beijing China Science and Technology on Complex System Simulation Laboratory Beijing China

ISBN: (纸本)9781510682528

Mixed reality (MR) technology is a combination of computer technologies that introduce real-world information into virtual environments and enable interaction between the two within a unified visual space. As a typical application form of MR technology, mixed reality sandbox applications significantly enhance the ability for three-dimensional situational awareness. Human-computer interaction (HCI), as an essential component of MR technology, directly affects the user experience of MR technology and has been a hot topic of research both domestically and internationally in recent years. Introducing gesture interaction into mixed reality sandbox systems can well meet users' needs for continuous observation and editing of three-dimensional objects, providing a real-time and natural interaction experience for users. This paper focuses on mixed reality sandbox applications, discusses the design principles and evaluation methods for human-computer interaction oriented towards mixed reality sandboxes, proposes a set of general non-contact gesture interaction rules, investigates the cross-critical technologies relied upon in interaction methods within mixed reality, summarizes the issues that need to be addressed in the next phase of research for mixed reality sandbox applications, and finally provides a conclusion and outlook for the study of interaction methods in mixed reality sandbox applications. © 2024 SPIE.

关键词： Mixed reality

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A Comparative Analysis of Startups Applying AI in Clinical Oncology 5

A Comparative Analysis of Startups Applying AI in Clinical O...

引用

5th international conference on Computing, Networking, Telecommunications and engineering Sciences applications, CoNTESA 2024

作者： Meca, Alba Ali, Maaruf Universita Degli Studi di Padova Department of Information Engineering Padova Italy Universiteti Metropolitan Tirana Department of Computer Science Tirana Albania

ISBN: (纸本)9798331534530

The rise and exploitation of artificial intelligence (AI) in general and in particular the medical field is fuelled by breakthroughs in deep learning (DL), advances in computing hardware devices, as well as the exponential growth of clinical data used for decision-making. Modern oncological research is intensively adopting AI-based technologies, with most of the related elements such as machine learning (ML) and DL models being utilised to improve the accuracy and efficiency of cancer diagnosis, prevention and treatment, with studies showing that AI could have many additional applications in cancer care. In most countries, numerous AI technologies have received governmental approvals for use in oncology, most notably in radiology. In response to the growing interest in the use of AI technologies in clinical oncology, the number of AI start-ups that concentrate their efforts on combating cancer has surged. The present research study adopts a mixed methodological approach to perform a comparative analysis of the top five AI start-ups that are focused on the application of AI technologies in clinical oncology. The five chosen AI start-ups include: CancerIQ (USA);Panakeia (UK);MultiplAI Health (UK);MNM Bioscience (USA) and X-Zell in Singapore. The selection of the AI start-ups was based on the availability of statistical metrics of interest to the study and the impact of their projects and applications on clinical oncology. The study performs a quantitative and qualitative analysis of selected metrics associated with the use of AI in clinical oncology and the related financial performance metrics. © 2024 IEEE.

关键词： Diseases

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Revolutionizing Military Training: A Comprehensive Review of Tactical and Technical Training through Augmented Reality, Virtual Reality, and Haptics 9

Revolutionizing Military Training: A Comprehensive Review of...

引用

9th IEEE international conference for Convergence in Technology, I2CT 2024

作者： Tanwar, Vishesh Anand, Vatsala Aggarwal, Priyanshi Kumar, Mukesh Kumar, Gotte Ranjith Chitkara University Institute of Engineering & Technology Chitkara University Punjab India Graphic Era Hill University Computer Science And Engineering Uttarakhand Dehradun248002 India Sr University School of Computer Science & Artificial Intelligence Warangal India

ISBN: (纸本)9798350394474

With technologies such as robots, artificial intelligence, the Internet of Things, and quantum computing being developed to attain digital superiority, modern military applications have the potential to fundamentally alter defense operations and tactics. The two technologies that have the potential to transform combat are augmented reality (AR) and virtual reality (VR). Large-scale simulation environments for the military and paramilitary sectors might be produced using AR and VR, changing everything from soldier training to the creation of fresh warfighting tactics. Tactical augmented reality, digital twins, weapons aiming, spatial orientation, situational awareness, and combat simulations are among the applications of AR that work well. According to Goldman Sachs, by 2025 the AR/VR sector will bring in US $1.4 billion in income from the military alone. © 2024 IEEE.

关键词： Augmented reality

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Navigating Challenges in IoT: applications, Limitations, Tools and Open Research Direction 13

Navigating Challenges in IoT: Applications, Limitations, Too...

引用

13th IEEE international conference on Communication Systems and Network technologies, CSNT 2024

作者： Ozaif, Md Mustajab, Suhel Alam, Mahfooz Aligarh Muslim University Department of Computer Science Aligarh India

ISBN: (纸本)9798350305463

The Internet of Things (IoT) has come out as a transformative technology paradigm which enables the seamless integration of physical objects into the digital world. With the rapid increase of connected devices and the increasing availability of data, IoT has found numerous applications across various domains such as buildings/homes, agriculture, healthcare, the environment, industries, etc. However, along with its promises, IoT also presents certain limitations and various challenges that require to be addressed for its global adoption. Lack of security and privacy, storage problems, trash disposal, energy requirements, the need for open standards, and novel use cases are a few of the difficulties. In the paper, an overview of IoT applications is provided, the limitations and challenges of IoT are discussed, the tools and technologies employed in IoT development are explored, and open research directions that can shape the future of IoT are presented. © 2024 IEEE.

关键词： Internet of things

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Energy Harvesting and Machine Learning Techniques for Internet of Things applications: A Review 1

Energy Harvesting and Machine Learning Techniques for Intern...

引用

1st international conference on Computing, Sciences and Communications, ICCSC 2024

作者： Tanwar, Nutan Dey, Rajiv Arya, Pradeep Kumar BML Munjal University Electronics and communication department Haryana Gurugram India Guru Ghasidas University Electronics and communication department Bilaspur India Bennett University Computer engineering department Noida India

ISBN: (纸本)9798350353648

The powerful platform that connects both the physical and digital realms is called the Internet of Things, or IoT. The standard of life has increased due to the current developments in Internet of Things (IoT) technologies, which have also enhanced human-technology engagement. The low expenses for positioning, remote availability, and intelligent operation of IoT nodes and sensors are the most important characteristics that propel the IoT's broad acceptance and rapid expansion in the ecological, health, and commercial domains. To solve the matter of energy shortages, energy harvesters, or EHs, are necessary for self-sustaining Internet of Things nodes. In this paper, an extensive analysis of machine learning (ML) techniques used in conjunction with EH-powered Internet of Things (IoT) devices to estimate and manage energy availability. The authors examined the machine learning techniques based on its applications, advantages and limitations on the basis of recent literature. © 2024 IEEE.

关键词： Adversarial machine learning

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Probabilistic Feamework for Modeling and Analyzing Complex Networks 15

Probabilistic Feamework for Modeling and Analyzing Complex N...

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15th international conference on Computing Communication and Networking technologies, ICCCNT 2024

作者： Nair, Lekshmi S Cheriyan, Jo Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India SAINTGITS College of Engineering Department of Computer Science and Engineering Kottayam India

ISBN: (纸本)9798350370249

Complex networks, characterised by intricate structures arising from the relationships and interactions among their constituent elements, play a pivotal role in various domains such as social networks, biological systems, and technological infrastructures. The evolution and dynamics of complex networks are analysed for various applications such as link prediction, information diffusion, and recommendation systems. Recent research has focused on the study of structural motifs and the probabilistic analysis of motifs to capture the dynamics of the network. The motifs, considered building blocks of the larger network structure, are recurrent patterns in the network. This study focuses on the different probabilistic models built on triads, which are sets of three interconnected nodes. We investigate six different probability distributions, including Poisson, Gamma, Exponential, Power Law, Gaussian, Lorentzian, and Gaussian Mixture Models (GMMs) that can be applied in the complex network to capture the insight of the connectivity pattern. The applications of this research extend to refining network models, improving simulations, and enhancing our understanding of the likelihood of observing distinct patterns within complex social networks. © 2024 IEEE.

关键词： Poisson distribution

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Initialization of Wireless Power Transmission in EVS Using Sensors 1

Initialization of Wireless Power Transmission in EVS Using S...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Divi, Gauraang Viyassomaan, T.C.K. Vivek, A. Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering Amritapuri India

ISBN: (纸本)9798331518578

Wireless Power Transmission (WPT) structures transfer electrical electricity from a supply to a load without counting on stressed connections. These systems are in particular attractive for plenty commercial applications due to their benefits, inclusive of decreased exposure to wires and secure energy transmission in destructive environmental conditions. This technology is enabled through inductive coupling among coils, known as the receiver coil and the transmitter coil. The adoption of this technology has garnered interest from diverse EV producers, who're actively working on enhancing extraordinary device topologies. In EV charging applications, the transmitter coil is typically embedded underneath the road and the receiver coil is installed on the vehicle above. Resonant inductive wireless energy transmission is usually employed for medium to excessive strength transfer programs, consisting of EV charging, due to its high efficiency. © 2025 IEEE.

关键词： Inductive power transmission

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