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检索条件"任意字段=5th International Conference on Computing in Engineering and Technology, ICCET 2020"

共 13314 条记录，以下是31-40 订阅

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Dynamic-Feature-Based Object Tracking Using Real-Time Image Processing 5th

Dynamic-Feature-Based Object Tracking Using Real-Time Image ...

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Mishra, Awakash Rengarajan Bhatt, Rahul Prince, P. Blessed Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bangalore India Department of Computer Science & Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India

ISBN: (纸本)9789819780426

this research explores the utility of today's real-time picture processing for dynamic-characteristic-primarily based object monitoring. Notably, this painting proposes a novel tracking method that combines an actual-time, place-primarily based convolutional neural community (R-CNN) with monitoring with the detection (TbD) technique. the proposed approach is for contemporary R-CNNs to constantly come across transferring objects in video frames and then modern-day the TbD technique to generate accurate item tracking information. the proposed system is evaluated on two benchmark datasets and compared to numerous tracking methods. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

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Estimating Chlorophyll Content of Vegetation in Hyper Spectral Surface Images 5th

Estimating Chlorophyll Content of Vegetation in Hyper Spectr...

引用

5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Kannagi, A. Adhikari, Manoj S. Manjula, H.M. Agarwal, Trapty Karnataka Bangalore India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

the Estimating Chlorophyll content material of vegetation in Hyper Spectral floor photos aims to create an automatic approach to accurately degree the concentration of chlorophyll in plant life using hyperspectral floor pix. this studies makes use of spectral evaluation and feature extraction techniques, mixed with machine studying techniques, to discover and quantify the awareness of chlorophyll from photosynthetic plants. the experimental results show that the approach has an amazing capability to discover plant life chlorophyll concentrations. this approach has correct accuracy and is beneficial inside the subject of precision agriculture for tracking the fertilizer software and nutrient imbalance of crop. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Concentrations Evaluation Photosynthetic

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Exploring the Use of Mobile Ad-hoc Networks for Real-Time Automotive Applications 5th

Exploring the Use of Mobile Ad-hoc Networks for Real-Time Au...

引用

5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Raghavendra, R. Negi, Bichitra Singh Manasa, C.M. Mishra, Awakash Karnataka Bangalore India Department of Civil Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

this paper investigates using cell networks (MANETs) for real-time automotive packages. the car industry increasingly seeks to benefit from the latest technology to improve its merchandise, and cellular ad hoc networks can revolutionize the enterprise. this paper outlines the use of MANETs within the automobile industry and uses simulations to explore the benefits and constraints of implementing MANETs inside the automotive space. Additionally, the paper explores the safety and privacy concerns of MANETs and how automobile applications can use the era comfortably and competently. the findings of this observation provide the perception of how MANETs may be applied for automobile programs and highlight the potential of cell ad-hoc networks as a crucial technology for the industry. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Mobile ad hoc networks

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Autonomous and Adaptive Communications Systems for Smart Home Applications 5th

Autonomous and Adaptive Communications Systems for Smart Hom...

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Krishnamoorthy, Ramkumar Das, Neeraj Sharma, Khushboo Jindal, Kanika Department of Computer Science and Information Technology Jain University Karnataka Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Department of Electrical Engineering Vivekananda Global University Jaipur India Department of Electronics and Communication Engineering Noida Institute of Engineering and Technology Uttar Pradesh Noida India

ISBN: (纸本)9789819780426

Smart home packages have become more and more standard in nowadays society, giving customers the potential to without problems connect and control various devices within their domestic. Self-sustaining and adaptive communication structures are crucial for smart home packages, allowing seamless integration of these devices and efficient electricity intake. Self-sufficient and adaptive verbal exchange structures for smart home applications. It examines exclusive existing methods for clever domestic automation as well as discusses techniques inclusive of dispensed computing, simulated annealing, reinforcement studying, and game idea. Eventually, it discusses capability destiny tendencies and advances in self-sufficient and adaptive communication systems that would improve the user revel in of smart home applications. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Smart homes

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Enhancing Efficiency in 6G Radio Resource Allocation Using Machine Learning Algorithms 5th

Enhancing Efficiency in 6G Radio Resource Allocation Using M...

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Kamalraj, R. Nautiyal, Kshitij Taranum, Ayesha Savita Karnataka Bangalore India Department of Electrical Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

Using machine gaining knowledge of algorithms with 6G radio resource allocation can assist to enhance network performance by using automating the selection making technique on a cease-to-stop foundation. this paper proposes a more suitable implementation of 6G radio aid allocation the usage of device getting to know algorithms to expand a framework for optimized useful resource utilization. the consequences of the experiments conducted in a real-world testbed validate the effectiveness of the proposed structure in achieving the desired goals consisting of improved community performance and decreased strength consumption. Moreover, the proposed improved implementation might be relevant in a huge range of other resource allocation eventualities. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Resource allocation

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Attention-Based Recurrent Neural Networks for Medical Image Classification 5th

Attention-Based Recurrent Neural Networks for Medical Image ...

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Manjunath, K.V. Alam, Intekhab Nidhya, M.S. Verma, Tushar K. School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bengaluru India Department of Civil Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India

ISBN: (纸本)9789819780426

Attention-primarily based Recurrent Neural Networks (RNNs) are a technique for medical image classification. RNNs can robotically extract temporal and spatial facts from scientific imaging statistics and make sensible decisions. RNNs are especially nicely-perfect for clinical photograph category obligations, cutting-edge their potential to perceive lengthy-term temporal styles, recognize the relationships between distinct medical picture datasets, and enable In this paper, we overview the existing tries to use interest-based RNNs for medical image classification, discuss the contemporary demanding situations and suggest some ability future guidelines for studies. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Recurrent neural networks

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Exploring Prominent Convolutional Neural Network Frameworks to Identify COVID-19 Deceases by Using Medical Images 5th

Exploring Prominent Convolutional Neural Network Frameworks ...

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5th EAI international conference on Cognitive computing and Cyber Physical Systems, IC4S 2024

作者： Srinivas, Yallapu Kumar, M. Aravind Bharatiya Engineering Science and Technology Innovation University Gorantla Andhra Pradesh Gownivaripalli515231 India Department of ECE Vishnu Institute of Technology Andhra Pradesh Bhimavaram534202 India West Godavari Institute of Science and Engineering Andhra Pradesh East Godavari District Prakashraopalem India

ISBN: (纸本)9783031770746

Computer vision and image classification have been used significantly in the clinical field, due to the availability and implementation of various Convolutional Neural Networks (CNNs) over the past decade. Hence, we present an analysis report on several prominent CNN architectures such as AlexNet, VGGNet, Inception (GoogLeNet), ResNet, EfficientNet, RegNet, ViT (Vision Transformer), and Swin Transformer by exploring their historical context, architectural details, and key innovations. Finally, we aim to assist researchers and practitioners in choosing the most appropriate architecture by comparing the accuracy, trainable parameters, and computational requirements of aforementioned architectures to identify COVID-19 from chest X-ray images for further clinical process/specific research. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： COVID-19

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Leveraging Blockchain for Development of Time Limit-Based Multi-authorized Secure Digital Signature Framework 5th

Leveraging Blockchain for Development of Time Limit-Based Mu...

引用

5th international conference on Advances in Information Communication technology and computing, AICTC 2024

作者： Mallikharjuna Rao, K. Kumar, Ashutosh Agrawal, Deepesh Reyya, Shikhar Data Science and Artificial Intelligence International Institute of Information Technology Naya Raipur Naya Raipur India Computer Science and Engineering International Institute of Information Technology Naya Raipur Naya Raipur India

ISBN: (纸本)9789819761050

this article deeply dives into a shift in document security by introducing innovative authentication measures. Conventional digital signature methods are less secure and can easily be forged. Our research explores the integration of multiple signatures authentication and time-constrained signature features, which will boost the security of digital signatures across documents;by introducing a time-constrained signing approach, we are addressing potential issues and establishing robust defense against various threats. Also, multiple files can be uploaded using a single CID in interplanetary file system (IPFS). Besides introducing multiple signers and time-limit features, our research utilizes IPFS for secure and collaborative document management. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Authentication Protocol

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Proceedings - 2024 international conference on computing, Networking, Telecommunications and engineering Sciences Applications, CoNTESA 2024

Proceedings - 2024 International Conference on Computing, Ne...

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5th international conference on computing, Networking, Telecommunications and engineering Sciences Applications, CoNTESA 2024

ISBN: (纸本)9798331534530

the proceedings contain 14 papers. the topics discussed include: safety analysis for autonomous mobile robot navigation using traffic sign recognition, dynamic object detection, and semantic segmentation;the gaussian and Weibull manifestations of Friis transmission equation;optimized design of a current mirror in 150 nm GaAs technology;nanogenerators: energy harvesting and self-powered system;analyzing scope risk in vulnerability assessment and penetration testing methodology;a novel approach to university startup incubators by using ai powered simulation and gamification;a comparative analysis of startups applying AI in clinical oncology;evaluating support vector machine and logistic regression: a machine learning-based statistical study for breast cancer diagnosis;interactive language learning: the potential of the ‘LingoVerse’ application to motivate through play;and a hybrid method for robust malignancy-benignancy prediction in mammograms: seam carving and U-Net for CNNs.

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Adapting Existing Industrial Machines to the Internet of things Paradigm 5th

Adapting Existing Industrial Machines to the Internet of Thi...

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5th international conference on Data Science, Machine Learning and Applications, ICDSMLA 2023

作者： Bargavi, Manju Bhatt, Rahul K, Rama Krishna Agarwal, Trapty Karnataka Bengaluru India Department of Computer Science and Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India

ISBN: (纸本)9789819780426

Adapting current business machines to the internet of things (Iota) paradigm offers many possibilities for commercial procedures to grow to be greater efficient, dependable, and cost-powerful. this paper offers a high-level review of ways existing business machines can be adapted to the Iota paradigm. by utilizing mounted communication protocols and rising technology which includes business net of things (Eliot) packages, commercial machines may be geared up with the potential to talk and interact with different gadgets within the network, creating a unified device of linked additives, which may be used to enhance procedure manage. Sooner or later, extending the scope of these structures via superior analytics and system getting to know can free up new possibilities in predictive preservation and wise automation that may further improve the adapted industrial machines. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Predictive analytics

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