Titlebook: Intelligent Systems Design and Applications; Real World Applicati Ajith Abraham,Anu Bajaj,Kun Ma Conference proceedings 2024 The Editor(s)

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,Early Warning System for Flood Disaster Risk Reduction Using Predictive Analytics, Many countries have recently experienced severe flooding and other extreme hydrological events. Developing an early warning system to anticipate flood disasters is critical for mitigating the impact of these flood hazards. Several machine-learning (ML) approaches have been proposed for developing f

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Rice Leaf Disease Diagnosis Using Dense EfficientNet Model,on widespread disease that affect rice leaf are Hispa, brown spot, Leaf blast and as well as Healthy leaf are identified. Quickly and correctly identifying a specific disease in order to implement effective strategies for its control and treatment. After the dataset performed the necessary pre-proce

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Conference proceedings 2024ications. from the 23rd International Conference on Intelligent Systems Design and Applications (ISDA 2023), which was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The ISDA is a premier conference in

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Conference proceedings 2024igent systems and their applications in industry. ISDA 2023 had contributions by authors from 64 countries. This book offers a valuable reference guide for all specialists, scientists, academicians, researchers, students, and practitioners in the field of artificial intelligence and real-world applications..

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Multi-player Gaming Application Based on Human Body Gesture Control,rs and enabling competition or collaboration based on body movements and postures. Through this innovative gameplay interface, the system aims to provide a dynamic and immersive gaming experience that not only entertains but also promotes physical fitness and social engagement.

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Impact Investigation for Gain Flattening Optimization of EDFA-Based Systems for Long-Haul WDM Applivariation, to optimize the gain flattening. The optimized values yield gain ripples less than 0.00148 dB and a gain of 26.71 dB. The high value of the Optical-Signal-to-Nosie-Ratio (OSNR) i.e. 32.73 dB; the low value of the noise figure i.e. 4.04 dB; and the comparison results with state-of-art prove the superiority of our proposed technique.