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

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Implementation of Custom-Based Mobile-Network Model for Early Blight Detection in Tomatoes,gories. Utilizing a fusion of artificial intelligence and computer vision, the research employs the MobileNet architecture enriched with custom convolutional layers for enhanced feature extraction. The model‘s adaptability to different dataset sizes highlights its robustness, with performance benchm

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Multifeature Fusion for Facial Expression Recognition,OG, and SIFT descriptors, a combinatorial technique was employed to discern the most efficient fusion methodology. Two fusion strategies were assessed: direct concatenation and the Z-score method, with the latter demonstrating superior computational efficacy. Normalization was introduced, to enhance

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Convolutional Neural Network Applied to X-ray Medical Imagery for Pneumonia Identification,identification, lesion detection, and organ segmentation. Their capability to autonomously learn and outline critical features from visual data positions them as ideal candidates for applications where precision and dependability are paramount. This paper details an experimental study that developed

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Smart Agriculture: Machine Learning Approach for Tea Leaf Disease Detection,oductivity is one of the most important things on which the nations’ economy highly depends. The detection of diseases in plants plays a major role in the agricultural field. This study proposes a multi-stage network involving Convolutional neural network, Pattern identification and Classification u

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Enabling Customer Segmentation Based on Classical Partitioning Methods Upon Statistical Evaluation objective is not centered around acquiring new customers, but rather on how to maximize sales to their existing customer base. In the competitive field of e-commerce, it is essential to satisfy the customer’s needs and identify the potential customer. This research project delves into advanced custo

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Quantification of Human Intelligence Using Principal Component Analysis,f time to quantify a person’s intelligence. It has been observed that the majority of earlier studies employ IQ for diagnosis and assessment of intellectual disability but do not disclose how IQ was calculated using raw data. In this paper, we present a novel method that uses Principle Component Ana

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