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检索条件"任意字段=1st International Conference on Wireless Algorithms, Systems and Applications"

共 8242 条记录，以下是1-10 订阅

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1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

1st International Conference on Advances in Computer Science...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

ISBN: (纸本)9798331518578

The proceedings contain 260 papers. The topics discussed include: application of wide bandgap in power electronics: next-gen smart grids;flexible hybrid electronics for printing of nano and chip scale structures;reliability of electronic connections in fast chargers of electric vehicle;enhancing substation earthing system: a finite element method for minimizing ground resistance and analyzing electric potential and temperature distribution;design and analysis of thermal management systems for an electric vehicle battery;analysis of smart city solutions for sustainable urban growth in India;an approach for the reliability realization of dynamic wireless charging of electric vehicle system;analyzing the impact of blockchain technology on financial transactions and accounting practices in global trade;optimization of electric discharge machining process parameters using simulated annealing optimization algorithm;and machine learning for wireless network optimization: algorithms and applications for adaptive communication.

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Functional task decomposition in wireless sensor network 1st

Functional task decomposition in wireless sensor network

引用

1st international conference on applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Mishra, Arpana Tomar, Nandini Choudhary, Shilpa Priyadarshini, Rashmi Lal Azad, Murari Department of Electronics and Communication Engineering Dronacharya Group of Institutions Uttar Pradesh Greater Noida India Department of Electronics and Communication Engineering G. L. Bajaj Institute of Technology & Management Uttar Pradesh Greater Noida India Department of Electrical Electronics and Communication Engineering Sharda University Uttar Pradesh Greater Noida India Department of Electrical Electronics Engineering Amity University Uttar Pradesh Greater Noida India

ISBN: (纸本)9781032874036

wireless sensor network is highly focused field of researchers belonging to industries and academics. Several applications of wireless sensor network exist from several past years. In wireless sensor network a complex task subdivision are key methodologies to upgrade the performance and life extension. It is very difficult to select Clusterisation and routing techniques while network overloaded with complex tasks. Decomposition or subdivisions of huge tasks into easy work are the key procedures to optimize the sensor network lifetime. However, such subdivision of tasks are greatly intensive, various field projects, making the decomposition selections are more complicated in WSN than other ordinary systems. We consider the load feasibility and functional structure of network for subdivision of complex task. Task decomposition basis on the systems engineering where need to apply. Superiority and ledgering properties of clustered nodes deciding the scheme for de composition by considering the several attributes like feasibility, probable risk and task integration complexity. Development of military surveillance systems can be used to verify this research contribution routing and computing algorithms. To format your abstract, use the Microsoft Word template style: © 2025 the Author(s).

关键词： Large scale systems

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Machine Learning for wireless Network Optimization: algorithms and applications for Adaptive Communication 1

Machine Learning for Wireless Network Optimization: Algorith...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Srinivas, Madhira Surya, S. Thakar, Prachi Deepak Jain, Amit Kumar Department of Computer Science & Engineering Hyderabad501301 India Chennai600116 India KJ college of Engineering & Management Research Department of Computer Engineering Pune India Poornima University Department of Electrical & Electronics Engineering Rajasthan Jaipur303905 India

ISBN: (纸本)9798331518578

This project looks into the possibility of applying machine learning to optimize wireless networks for adaptive communication. Using 5G resource data, it applies preprocessing, exploratory analysis, and visualization to identify key trends: signal strength, latency, and bandwidth utilization. Machine learning algorithms predict resource allocation based on latency-sensitive and bandwidth-demanding applications. The approach emphasizes energy efficiency, scalability, and service quality, and dynamically adjusts communication strategies to meet diverse network demands. The findings indicate the machine learning importance in enhancing elasticity and robustness in a wireless network and its general function. © 2025 IEEE.

关键词： 5G Optimization Adaptive Communication Bandwidth Data Pre-processing EDA Energy Efficiency Latency Machine Learning Network Elasticity Predictive Models Resource Allocation Scalability Signal strength wireless Networks

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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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Wearable textile monopole antenna for WBAN applications using CMA 1st

Wearable textile monopole antenna for WBAN applications usin...

引用

1st international conference on applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Gupta, Devansh Shahi, Abhinav Pratap Tripathi, Abhishek Singh, Kuldeep Sharma, Ankit Department of ECE Galgotias College of Engineering and Technology UP Greater Noida India

ISBN: (纸本)9781032874036

The study introduces an innovative wearable textile antenna tailored for wireless body area network usage. It employs techniques like slotting and multi-resonant radiators with capacitive coupling to widen its bandwidth, accommodating multiple frequency bands, including Ultra-Wideband (UWB) standards. Optimization through Characteristics Mode Analysis (CMA) improves high-Q resonance bandwidth while maintaining other spectral features. Operating in WLAN bands at 2.5 GHz, the antenna boasts a compact size and directional radiation pattern. At the minimum operational wavelength, the antenna’s total dimension measures 0.55λL × 0.67λL × 0.03λL, providing the appropriate directed radiation pattern. With an average maximum gain of 8.9 dBi, it marks a pioneering design in textile antennas, catering to the demands of modern wearable communication systems. © 2025 the Author(s).

关键词： Ultra-wideband (UWB)

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2025 1st international conference on AIML-applications for Engineering and Technology, ICAET 2025

2025 1st International Conference on AIML-Applications for E...

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1st international conference on AIML-applications for Engineering and Technology, ICAET 2025

ISBN: (纸本)9798350355611

The proceedings contain 139 papers. The topics discussed include: implementation of quality function deployment technique to identify engineering characteristics of novel low-cost viscous jaggery filling automation system;revolutionizing automotive electronics: the transformative impact of ai and machine learning in manufacturing;real time monitoring of bridge by using sensor technology with concentration on deflection identification;machine learning approach for career guidance using brain mapping technique and psychometric test;federated learning based localization technique for Internet of Things affiliated wireless sensor network;implementation of a safety device for women and emergency situations;and classification models of music recommendation system for mental health improvement: a comparative study.

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A CPW Fed Dual Band High Frequency Antenna for IoT applications 1

A CPW Fed Dual Band High Frequency Antenna for IoT Applicati...

引用

1st international conference on Sustainable Energy Technologies and Computational Intelligence, SETCOM 2025

作者： Kolusu, Divya Patra, M. Sai Debasisa Nanda, Sambhudutta VIT-AP University Andhra Pradesh India

ISBN: (纸本)9798331520540

In this paper, a low-profile antenna suitable for 5G applications and Internet of Things (IoT) devices with the height of 0.254 mm (about 0.0030 λ) and with tiny dimensions of 15 mm X 40 mm (about 0.18 λ × 0.48 λ) is designed and analyzed. The frequency range that the antenna radiating is from 3 GHz to 6 GHz. The proposed antenna is designed to meet the stringent requirements of modern wireless communication systems, which include high efficiency, broad bandwidth, and small size. We recommend low-profile CPW (Co-planar Wave-guide) antenna with 0.254 mm thick to reduce power loss. The CPW antenna consists of an asymmetric inverted F-shaped radiating slot, a feed line and a top ground. The recommended tri-band antenna is easy to use. Plotting the suggested antenna versus the operating frequency reveals an extremely high efficiency of over 95% with the Gain 3.45 dBi is used for 5G network applications operating at dual-band. © 2025 IEEE.

关键词： Microwave antennas

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Generative AI for Revolutionizing Personal style 1

Generative AI for Revolutionizing Personal Style

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1st international conference on AIML-applications for Engineering and Technology, ICAET 2025

作者： Bhoyar, Ketaki Patil, Suvarna School of Interdisciplinary & Research D Y Patil International University Pune India

ISBN: (纸本)9798350355611

The fashion business is growing quickly and is one of the main forces behind the world's economies. The everexpanding business is driving a significant rise in the application of computer science to address various issues inside it. It becomes difficult to discover a personalized wardrobe that reflects their preferences, taste and needs. Traditional Fashion Recommendation systems (FRSs) limits their ability to scale and adapt the ever growing styles as they heavily rely on manual design. Fashion can also be so inclusive, expressive and sustainable. Appropriate recommendations given by FRS helps to enhance user satisfaction and makes it more enjoyable and accessible. Artificial Intelligence (AI) tools have revolutionized FRS enabling them to consume beyond conventional methods by taking in contextual data, user preferences and visual content for recommendations with a more individualized suggestion. Recently, Generative Adversarial Networks (GANs) have emerged as a potent technique to enhance these systems by generating diverse fashion designs with high fidelity. In this paper, a systematic review of parameters used to evaluate FRS using Generative algorithms is discussed. Various parameters to evaluate system performance and the recommendation quality are analyzed. Detailed analysis of the input parameters, to be considered to design the efficient AI based FRS (AI-FRS) is also presented. Along with this, research gaps are explored by surveying numerous review papers. This review will help in deciding the evaluation parameters to develop and examine more efficient AI based FRS. © 2025 IEEE.

关键词： Generative adversarial networks

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Media Access Techniques for Efficient Channel Utilization in SATCOM Interactive Networks 1

Media Access Techniques for Efficient Channel Utilization in...

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1st international conference on Advances in Computer Science, Electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Saini, Trilok Kumar Kushwaha, Naveen Kumar Roy, Abhishek Kumar DRDO Defence Electronics Applications Laboratory Dehradun India

ISBN: (纸本)9798331518578

Media access protocols are the core of the low-level network architecture of communications systems and play a pivotal role in the efficient utilization of shared media. Media access protocols are designed to coordinate the transmission and to reduce the collision over the shared media, and they govern efficient access and improved quality of service. In the wireless domain, bandwidth has always been a critical resource and must be utilized efficiently. Media access protocol helps to manage the access of the media to meet the service requirements. Protocols are intended to provide high channel throughput and low transmission delay. In this paper, we present the techniques employed by media access protocols, classification approach, impact of the network parameters, and protocol suitability as per the service requirement. The comparative outline of the protocols has also been presented. This paper provides a comprehensive and systematic analysis of the MAC protocols for satellite communication that will be useful in selecting suitable protocols in real-life communication systems. © 2025 IEEE.

关键词： Bandwidth

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Federated Learning Based Localization Technique for Internet of Things affiliated wireless Sensor Network 1

Federated Learning Based Localization Technique for Internet...

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1st international conference on AIML-applications for Engineering and Technology, ICAET 2025

作者： Akole, Mohan Kavipriya, P. Sathyabama Institute of Science & Technology Department of Electronics & Communication Engineering Chennai119 India

ISBN: (纸本)9798350355611

The research community is paying a lot of attention to the localization of Internet of Things-affiliated wireless Sensor Network (IoT-WSN), with the goal of facilitating useful communication and information. Federated Learning assisted localization in an IoT-WSN environment (FL-LocWSN) technique was proposed as a solution to the main issues with localization success rate and packet transmission. To increase packet transmission speed and localization success rate, the network topology is first built using Voronoi construction. The sensor nodes and anchor nodes are deployed in line of sight (LOS) and non-line of sight (NLOS) by using the Butterfly optimization technique. The clustering of all the nodes is obtained by the anchor nodes. The variability and inclinations of the device are resolved by regression. From the clustered network, the localization is obtained by Recurrent iterative algorithm. Finally, collaborative localization is achieved through the use of FL technology, whereby unlocalized nodes are collaboratively localized by improving the efficiency of localization success rate and packets transmission. The outcome demonstrates that the suggested work performs better than the current works. © 2025 IEEE.

关键词： Federated learning

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