Titlebook: Data Engineering and Applications; Proceedings of the I Jitendra Agrawal,Rajesh K. Shukla,Chin-Shiuh Shieh Conference proceedings 2024 The

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Serienkulturen: Analyse – Kritik – Bedeutungf plants. Dataset has 92 photos of 12 different plants. Because it is independent of leaf age, this technique employs an efficient algorithm utilized for plant identification and categorization. The suggested approach is quick and simple to use.

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A Review on Automatic Lung Lesion Detection from Various Imaging Techniquesre so many researches that have been done that are based on CNN, DNN, Edge Detection, and various image processing or machine learning techniques. The objective of this work is to define the limitations and drawbacks of various systems that are lacking somewhere.

客觀

A High Trustworthiness IoT System Design Based on Coupled Turbo Codesattains lower bit error rate performance compared to the conventional un-coded and hard-coded counterparts. A comparative analysis with respect to the error rate has been done so as to evaluate the quality of service of the proposed work. The lower error rate of the proposed work ensures the high qu

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Smart Transportation System with Collision Detection and Caution Notification using an ultrasonic sensor and an Arduino controller. It then alerts the driver if they are getting too close to a risky area. Using an audio-visual and ultrasonic warning that measures the distance, the driver and/or any passengers are adequately warned.

Foolproof

Comparative Analysis of the Different Substrate Materials for Achieving Biocompatibility in the Rectall size and substrate material. The last section of the paper discussed the comparative analysis of all the biomedical materials with respect to their radiation pattern, directivity, VSWR, electric field, magnetic field, power loss, gain, and bandwidth. The result of all the parameters shows that t

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性學(xué)院

Energy Efficient Offloading Strategy Over Multi-access Dual-Level Edge Computing Environment for IoT channel resources to minimize the system‘s overall energy consumption. The algorithm‘s performance is verified by simulations in the Python environment. The simulation results reveal that the OECA can increase the network capacity by 18.3%, and the energy consumption is reduced by 13.1% when compar

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