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检索条件"机构=Dept. of Electrical and Computer Engineering and Technology"

共 55683 条记录，以下是411-420 订阅

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Interference Mitigation and Resource Allocation in Integrated TN-NTN Systems via Deep Q-Learning 15

Interference Mitigation and Resource Allocation in Integrate...

引用

15th International Conference on Information and Communication technology Convergence, ICTC 2024

作者： Park, Seoyeong Jung, Soyi Ajou University Dept. Electrical and Computer Engineering Suwon16499 Korea Republic of

ISBN: (纸本)9798350364637

As the demand for spectrum increases, the coexistence of terrestrial networks (TNs) and non-terrestrial networks (NTNs) is becoming a critical aspect of 6th generation (6G) communication scenarios. Integrated TN-NTN systems share the same frequency bands, leading to significant performance degradation due to co-channel interference. This paper proposes a deep Q-network (DQN) based deep reinforcement learning (DRL) algorithm to efficiently allocate resource blocks within shared frequency bands to each user equipment (UE) in integrated TN-NTN systems. The proposed algorithm continuously interacts with the network environment to learn optimal resource allocation policies. The proposed algorithm continuously interacts with the network environment to learn optimal resource allocation policies, thereby minimizing interference and maximizing system data throughput, promoting efficient use of spectrum resources. © 2024 IEEE.

关键词： Deep reinforcement learning

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Advancing Pediatric Appendicitis Diagnosis: Harnessing CNN and Hybrid Models with Ultrasound Imaging

Advancing Pediatric Appendicitis Diagnosis: Harnessing CNN a...

引用

2025 International Conference on Pervasive Computational Technologies, ICPCT 2025

作者： Kulkarni, Supritha Sharma, Sanchit Manavi, J. Vachana, U. Bhargavi, M.S. Bangalore Institute of Technology Dept. of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798331508685

Pediatric appendicitis, an acute inflammatory disease, arises from the obstruction of the appendix, often due to inflammation or a fecalith. This common abdominal emergency in children presents diagnostic challenges due to its varied clinical manifestations, which can lead to misdiagnosis or higher perforation rates stemming from atypical symptoms. This research investigates the use of deep learning, more especially Convolutional Neural Networks (CNNs), by utilizing ultrasonic imaging data, which is less expensive, non-invasive, and quicker than the other approaches now in use. Several variants are evaluated including a basic CNN and more advanced hybrid models such as CNN-Support Vector Regression, CNN-Transformer, and Hierarchical Deep CNN, to identify the most optimal model to significantly enhance diagnostic accuracy, for young patients facing this condition. The study's main goal is to develop a highly accurate and dependable diagnostic tool for evaluating the severity of pediatric appendicitis by differentiating between simple and complex cases and identifying whether surgery is required to inform treatment plans. Various challenges that need to be tackled are managing significant dataset imbalances, enhancing interpretability and transparency for real-world clinical settings, and ensuring the robustness and adaptability of all these models across various healthcare environments. © 2025 IEEE.

关键词： Pediatrics

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Enhancing Doodling Experience Using Generative Adversarial Networks 2

Enhancing Doodling Experience Using Generative Adversarial N...

引用

2nd IEEE Global Conference on Communications and Information Technologies, GCCIT 2024

作者： Ashtagi, Rashmi Rathi, Devanshu Handoo, Ripul Purohit, Rishi Madhavaswala, Abbas Nogamawala, Mohammad Vishwakarma Institute of Technology Dept. Of Computer Engineering Pune India

ISBN: (纸本)9798350388916

Interacting with AI systems solely through textual prompts often encounters limitations due to the challenges of expressing complex visual ideas in text. This paper introduces an advanced AI system that interprets and visualizes users' sketches by employing state-of-the-art Generative Adversarial Networks (GANs), such as pix2pix, SketchGAN, DCGAN, and ESRGAN. This system not only significantly enhances real-time interactions but also shows exceptional proficiency in image editing tasks, thus facilitating more intuitive communication between humans and AI. By enabling rapid and accurate visualizations, this technology substantially streamlines and improves design workflows in the architecture and fashion industries. The advancements fostered by this system contribute significantly towards achieving greater capabilities akin to Artificial General Intelligence, enhancing creative processes and production efficiencies. © 2024 IEEE.

关键词： Generative adversarial networks

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Radar Resolution Improvements Using Reference Target Sliding Method in RDM

Radar Resolution Improvements Using Reference Target Sliding...

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2024 IEEE International Symposium on Phased Array Systems and technology, ARRAY 2024

作者： Shelton, Trent Joiner, Laurie Panagos, Adam University of Alabama in Huntsville Dept. of Electrical and Computer Engineering Huntsville United States

ISBN: (纸本)9798350392142

A novel reference target sliding method in the frequency domain of post-match-filtered radar data is presented and shown that target resolution can be improved to levels much finer than classical bandwidth-limited resolution metrics. The methods developed here have broad application and can be used to provide crossing target resolution, estimation parameter refinement, and beam-phase correction in the presence of overlapping targets. Additionally, the reduced requirement for bandwidth in target resolution will allow for low-bandwidth systems to perform on par with higher-bandwidth systems in several applications. The proposed methods are also well-suited to improve detection and tracking performance in lower cost arrays such as non-actively scanned arrays that employ digital beamforming. © 2024 IEEE.

关键词： Frequency domain analysis

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Towards Vision Based Bi-Cycles Detection and An Autonomous Decision Making System for Driving Situation Awareness 13

Towards Vision Based Bi-Cycles Detection and An Autonomous D...

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13th International Symposium on computer Science and Educational technology, ISCSET 2024

作者： Nine, Julkar Mehta, Ayushkumar Rajkumar, Sai Rohit Hardt, Wolfram Chemnitz University of Technology Dept. of Computer Engineering Chemnitz Germany

ISBN: (纸本)9798350390803

In response to the growing global emphasis on healthy living and environmental consciousness, the popularity of eco-friendly transportation options like bicycles has surged. However, cyclist safety remains a critical concern, particularly in interactions with automobiles, where accidents often result in severe consequences. This project aims to enhance cyclist safety through machine learning-based bicycle detection and situational awareness techniques, aiming to mitigate vehicle-bicycle collisions. By integrating OpenCV lane detection and YOLOv8-based vehicle/bicycle detection with distance estimation, the system can analyze real-Time road conditions and make informed decisions, including speed reduction, overtaking safety assessment, and maintaining safe distances from cyclists. Testing validates the system's accurate detection, precise analysis, and effective decision-making capabilities, ensuring vehicles respond appropriately to encountered road scenarios. Ultimately, this project addresses the pressing need for cyclist safety in vehicle-rich environments, leveraging machine learning, real-Time analysis, and advanced detection technologies to foster safer roads. © 2024 IEEE.

关键词： Bicycles

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A Decentralized Document Storage Platform using IPFS with Enhanced Security 8

A Decentralized Document Storage Platform using IPFS with En...

引用

8th IEEE International Conference on Computing, Communication, Control and Automation, ICCUBEA 2024

作者： Jadhav, Swati Choudhari, Gauri Bhavik, Manasi Bura, Rishita Bhosale, Vaibhavi Vishwakarma Institute of Technology Dept. Of Computer Engineering Pune India

ISBN: (纸本)9798350391770

In response to the evolving challenges of centralized file sharing and transport-layer issues in decentralized file systems, this research paper, "A Decentralized File Sharing using IPFS with Enhanced Security,"delves into the potential of the InterPlanetary File System (IPFS) made secure with Hybrid Encryption. This decentralized approach not only addresses issues of reliability and scalability but also prioritizes enhanced security measures. By integrating cutting-edge security protocols, our study aims to fortify the IPFS framework, creating a resilient platform for secure file sharing in the digital age using algorithms such as AES and ECC-based methods. Through this exploration, we contribute to the ongoing discourse on decentralized systems, offering insights into the future of efficient and secure digital information exchange. © 2024 IEEE.

关键词： AES Blockchain Data Security ECC Encryption IPFS Privacy

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Wearable Device With Speech and Voice Recognition for Hearing-Impaired People 21

Wearable Device With Speech and Voice Recognition for Hearin...

引用

21st International Learning and technology Conference, L and T 2024

作者： Tharwat, Marwa Wardak, Yasmin Balbaid, Shumokh Radin, Ejlal King Abdulaziz University Dept. of Electrical and Computer Engineering Jeddah Saudi Arabia

ISBN: (纸本)9798350393569

Hearing impairment is a widespread health condition that affects millions of people worldwide. It refers to the lack of or low functionality of the hearing organs, resulting in difficulties in effective communication and participation in everyday conversations. This limitation can negatively impact various aspects of the social and personal lives of the hearing-impaired individuals. Moreover, the high cost and limited availability of assistive devices further restrict accessibility for those with limited financial resources. To address these challenges, this study develops an affordable wearable device equipped with speech and voice recognition technologies to enhance the accessibility of spoken language for individuals with hearing impairment. OpenAI Whisper is employed for real-time conversion of spoken words into written text. Voice recognition, utilizing Mel Frequency Cepstral Coefficients (MFCCs) and Random Forest (RF) classifier, identifies and distinguishes speakers within the user's family and friends zone. The recognized spoken words from the speech recognition process and the speaker's identity from the voice recognition process are combined and displayed on a screen to the hearing impaired. By combining speech and voice recognition technologies, the proposed device breaks communication barriers for individuals with hearing impairment and enhance their overall communication experience. © 2024 IEEE.

关键词： Speech recognition

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DDoS Attack Detection in Blockchain Networks 5

DDoS Attack Detection in Blockchain Networks

引用

5th International Conference on Data Intelligence and Cognitive Informatics, ICDICI 2024

作者： Jadhav, Swati Bhosale, Vaibhavi Choudhari, Gauri Bura, Rishita Bhavik, Manasi Vishwakarma Institute of Technology Dept. Of Computer Engineering Pune India

ISBN: (纸本)9798350389609

DDoS attacks pose a significant threat to the security and stability of blockchain networks. Low generalization, high misreporting rates, and ineffective detection capabilities are just a few of the flaws in the detection methods currently in use. DDoS attacks threaten blockchain network security and stability. Current detection methods suffer from low generalization, high misreporting rates, and inefficacy. This project proposes a solution to detect and mitigate the DDOS attack happening on Blockchain. Scapy and Wireshark's real-time data analysis helps identify attack patterns and adapt defenses to evolving threats. This proactive approach ensures the functionality and integrity of blockchain networks. Through thorough experimentation, the solution provides a robust defense against DDoS attacks, enhancing the security of the blockchain ecosystem. © 2024 IEEE.

关键词： Blockchain

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Initial Look at Life-Long Learning Assessment in engineering Education 47

Initial Look at Life-Long Learning Assessment in Engineering...

引用

47th ICT and Electronics Convention, MIPRO 2024

作者： Pejcinovic, B. Portland State University Electrical And Computer Engineering Dept. PortlandOR United States

ISBN: (纸本)9798350382495

Teaching students to become life-long learners is generally taken to be one of the major outcomes of any university-level education. This is usually reflected in university-level mission or similarly labeled statements. In engineering education in the US this is formalized in the latest ABET update of their student outcomes. Life-long learning is specifically listed as outcome '7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.' This has meant that any electrical, computer, or other engineering programs under ABET accreditation now must demonstrate that students are attaining this outcome. However, assessment tools and techniques for this outcome are not well developed. We present several examples for both direct and indirect assessments as well as our experiences in their implementation. Presented methods and instruments can be applied in different curricular settings and courses. © 2024 IEEE.

关键词： Accreditation

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Design of a Brain Controlled Robotic Arm: Initial Experimental Testing 21

Design of a Brain Controlled Robotic Arm: Initial Experiment...

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21st International Multi-Conference on Systems, Signals and Devices, SSD 2024

作者： Aljedaani, Lama Taha Abdelhedi, Fatma Aldahasi, Renad Abdullah Batheeb, Amal Abdullah Engineering King Abdulaziz University Dept. of Electrical and Computer Jeddah Saudi Arabia

ISBN: (纸本)9798350374131

In recent years, a significant leap has been made in various techniques to control robotics to assist people with upper limb amputations. Individuals with limb amputations have been facing significant challenges in their daily lives, where the simple and daily tasks become much more complex and take longer time, or even impossible, without depending on other people. Furthermore, traditional assistive devices often require significant physical effort, and they may be unable to perform different tasks efficiently, thus restricting the amputee's independence. Consequently, there is a need for an advanced assistive device to provide greater control and functionality to improve upper limb amputee independence. The Brain-Controlled Robotic Arm project aims to develop an advanced assistive device that allows individuals with disabilities to control a robotic arm using their brain signals. The project applies brain-computer interface technology (BCI) that allows the human brain to interact with a digital computer through electroencephalogram (EEG) technology. In this project, the robotic arm utilizes an electroencephalogram (EEG) to capture brain signals and then process those signals to get the required signal in order to control the robotic arm. © 2024 IEEE.

关键词： Brain computer interface

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