Agricultural development is crucial to ending poverty and boosting economic growth in emerging nations. The global population is expected to reach 9.7 billion by 2050. Smart and precise agriculture must enhance agricu...
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Process Mining (PM) is a relatively new field which provides techniques to analyze business processes in different areas. In the field of Medicine, PM seeks to infer clinical processes from the data routinely collecte...
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Wireless Sensor Networks (WSNs) require efficient node deployment strategies to optimize network longevity, energy consumption, and coverage. This paper introduces a novel approach for strategic node deployment in WSN...
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Given that many globally leading diseases like diabetes and hypertension have early manifestation in the retina, development of AI enabled low-cost non-invasive pre-diagnostic tools is of great potential benefit for m...
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By integrating advanced artificial intelligence (AI) and machine learning (ML) into satellite image processing, a number of industries standard to benefit in kinds of artificial intelligence and machine learning used ...
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ISBN:
(数字)9798331519582
ISBN:
(纸本)9798331519599
By integrating advanced artificial intelligence (AI) and machine learning (ML) into satellite image processing, a number of industries standard to benefit in kinds of artificial intelligence and machine learning used for geoanalysis. Decades-old image processing processes are beginning to be invaded by robots. Using ML and AI to process satellite images provides a lot of new AI powered imaginations that can monitor environmental change, support disaster response and plan city layouts. Such development in the precision of techniques such as object classification, object detection and pixel detection make the analysis of image sequences from satellites possible and rapid. Enhancement of task accuracy and observability. Widely used in fields like greenhouse gas surveillance, changes in land use trends and the natural habitats of animals. In addition to introducing AI methodologies into high resolved satellite data, obvious advantages are brought to both decision making and environmental sustainability in many fields. As countries put satellites in orbit and their images become more readily accessible to the public, the opportunities for AI-driven applications of satellite image data are expected to increase, offering significant advancements in such fields as global development and resource management. This paper discusses such earth-moving applications and looks at how the future of artificial intelligence (AI) is being impacted by all this.
Electric vehicles (EVs) are the foundation of sustainable mobility, yet effective maintenance tracking and performance monitoring is still difficult, particularly in decentralized ecosystems. To fill these gaps, this ...
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Multiple sclerosis lesion segmentation is a critical task in medical imaging since it aims to identify and delineate brain lesions. In this study, we propose a new method called Models Integration for Reliable Identif...
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Unmanned aerial vehicles (UAVs), or drones, are transforming surveillance strategies in various fields, including border security and wildlife conservation. Their ability to monitor large, challenging areas in real ti...
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This study explores the integration of Raman optical amplifiers in a Wavelength Division Multiplexing Passive Optical Network (WDM-PON) system to enhance high-speed data transmission. Traditional amplifiers like Erbiu...
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Breast cancer is a significant health concern;early detection and treatment are critical to improving patient outcomes. Artificial Intelligence has the potential to assist healthcare professionals in the diagnosis and...
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