Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Vivek Shrivastava,Lipo Wang Conference proceedings 2024 The Edito

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Conference proceedings 2024cation technologies. The book presents single- and multi-disciplinary research on these themes to make the latest results available in a single, readily accessible source. The work is presented in three volumes.

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Design and Production of Nanofertilizersls for flying networks, has been presented on the basis of their category, random and fixed variables, high node mobility, adaptability for FANETs, smooth curve and collision avoidance. Some future insights to further enhance and new research related to mobility models for FANETs have been provided.

旧石器

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Eugenio A. Maffucci,Lucio G. Recal of 98%. These results underscore the potential of CNNs in enhancing diagnostic accuracy in medical imaging, particularly for conditions like pneumonia, where early and accurate detection is crucial.

Accede

https://doi.org/10.1007/978-1-349-63663-1stomer groups within e-commerce businesses. By doing so, we gain invaluable insights into the unique characteristics, preferences, and behaviors of each customer segment. Through a comprehensive analysis of these segments, we aim to facilitate the development of highly targeted and personalized marketing strategies.

DIS

Kelly A. Chaston,Frank M. Gollophieved the best performance with 50% mAP.50 in the Visdrone2019-DET dataset, 5.5 M parameters, 11.8 MB of model weights, and 57 FPS of inference time on Nvidia RTX 3090. Moreover, the experimental results confirm that our method outperforms the Edge-Yolo.

Indigence

,A Comparative Study and Adaptability of Mobility Models for UAV Networks,ls for flying networks, has been presented on the basis of their category, random and fixed variables, high node mobility, adaptability for FANETs, smooth curve and collision avoidance. Some future insights to further enhance and new research related to mobility models for FANETs have been provided.

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A Multi-label Classification Approach to Detect Types of Traumas on Social Media,BM with Binary Relevance and Random k-Label sets with Overlap (RAKELO) for multi-label classification. The maximum accuracy for single-label classification was yielded by LGBM (94%), whereas the highest accuracy for multi-label data was achieved by RAKELO (72%).

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Convolutional Neural Network Applied to X-ray Medical Imagery for Pneumonia Identification,l of 98%. These results underscore the potential of CNNs in enhancing diagnostic accuracy in medical imaging, particularly for conditions like pneumonia, where early and accurate detection is crucial.

Obsessed

Enabling Customer Segmentation Based on Classical Partitioning Methods Upon Statistical Evaluation stomer groups within e-commerce businesses. By doing so, we gain invaluable insights into the unique characteristics, preferences, and behaviors of each customer segment. Through a comprehensive analysis of these segments, we aim to facilitate the development of highly targeted and personalized marketing strategies.