Titlebook: Intelligent Systems and Data Science; Second International Nguyen Thai-Nghe,Thanh-Nghi Do,Salem Benferhat Conference proceedings 2025 The E

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Xuan Toan Mai,Minh Tuan Kiet La,Hong Tai Tran,Tuan-Anh Tranolor photographs.Offers a framework for the growing interestResearch in recent years has increasingly shifted away from purely academic research, and into applied aspects of the discipline, including climate change research, conservation, and sustainable development. It has by now widely been recogn

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Ngoc-Tu Nguyen,Thanh-Tam Nguyent plants for this mountainous region.Includes contributions Research in recent years has increasingly shifted away from purely academic research, and into applied aspects of the discipline, including climate change research, conservation, and sustainable development. It has by now widely been recogn

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Explainable AI for Plant Disease Detection: Assessing Explainability in Classifying Maize Leaves Disdy proposes a reliability assessment framework using the Focus Score metric by Mosaic Image and the Ablation-CAM technique on a maize leaves disease dataset with fine-tuned MobileNet models. The results show high accuracy in the MobileNetV3 model. However, the reliability of the MobileNetV2 model su

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Machine Learning-Based Acoustic System for Maturity Classification of Durian Fruit Before Harvestings. This study proposed a classification system of durian maturity before harvesting based on acoustic characteristics and machine learning for objective and experience-free assessment. A conventional microphone was placed into a sound-insulated tube to minimize the impact of surrounding noise at the

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An Embedded System for Eggs Freshness Detectionmple destruction. This study introduces a non-destructive system for detecting egg freshness using near-infrared spectroscopy and machine learning models. The research successfully developed a portable embedded system device using a low-cost multi-spectral sensor and Raspberry Pi 4B microprocessor f

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Deep Learning for Fashion Consulting, and is also one of the things that researchers are paying attention to it. In this work, we present an information system approach that integrates machine learning algorithms to handle customer queries by applying AI techniques, deep learning and content-based image processing. It can analyze cust

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Automatic Segmentation of Masses on Mammograms Using Fuzzy Logicammography, the most common screening tool for breast cancer, presents challenges due to the manual interpretation of mammograms and variability among radiologists. In this paper, we propose an automatic breast mass detection system. This system utilizes fuzzy logic for image preprocessing, in conju

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