Titlebook: IoT Sensors, ML, AI and XAI: Empowering A Smarter World; Biswajeet Pradhan,Subhas Mukhopadhyay Book 2024 The Editor(s) (if applicable) and

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,Development of IoT Soil Sensor Node: Installation and Modeling,s in meteorology and agronomy can now make financially advantageous and ecologically responsible choices thanks to these cutting-edge technologies. To gather information about soil moisture, several sensing techniques have recently been developed. But when it came to efficacy and dependability, the

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Developing a Cloud-Based Weapon Detection System Using Transfer Learning and Generative Adversarial at the government level to self-defence programs for the public. Among these measures, baggage checking and surveillance systems are already in place. The motivation for this paper is to enhance these existing systems. In this paper, the authors propose an object detection system for baggage securi

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Implementation of IoT and Machine Learning Techniques in Smart Irrigation Systems,an automated irrigation system created on the Internet of Things (IoT) for farms. This cost-effective automated irrigation monitors over-irrigation, soil erosion, and crop-specific watering needs. This new strategy promoted a sustainable practice by reducing the wastage of the excess water used in f

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Autonomous Driving from an Architectural Perspective,y that will be the birth of the next revolution in mobility industry. The impact of autonomous systems will no longer be limited to automobile industry, but to the mankind. Controversies, discussions, and ethical laws often correlated with the study of autonomous driving. This paper brings out sever

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A Prototype Design for Effective Traffic Navigation,loped to detect and navigate around potholes. This review paper aims to summarize the various pothole detection and navigation techniques that have been proposed in the literature. We begin by discussing traditional approaches that rely on human inspection or visual sensors. We then review more rece

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Integrating Topology and Geospatial Knowledge for Mapping Road Network Layers from High-Resolution , it has proved its effectiveness in the remote sensing research community wherein researchers are utilizing different deep learning techniques for remote sensing scene understanding. Meanwhile, with high-resolution Earth observation data availability, automatically extracting spatial information ha