This research analyzes groundwater levels across multiple districts using data from over 100 observation wells in each district. To capture seasonal variations and predict groundwater behavior, this research has devel...
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This paper presents a financial fraud detection framework grounded in big data technology and cutting-edge machine learning algorithms. The framework uses a distributed computing platform to process massive financial ...
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Aiming at the adaptation problem of distributed queue protocol in LoRa, this paper designs an improved networking method, which realizes the recognition of contention state through node random code, and optimize the s...
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Decentralized Finance (DeFi) has emerged as a transformative force in the financial landscape, bringing about challenges in ensuring blockchain security. This paper systematically examines prominent DeFi incidents fro...
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This research applies a combination of machine learning methods - Random Forest, Gradient Boosting, and AdaBoost - to detect solar panel system failures using historical data. The ensemble model developed achieved an ...
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The height analysis of footprints has always used statistical methods in the past, which have significant errors. In order to effectively utilize the biometric features of footprints and conduct more accurate height a...
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Manihot esculenta, the scientific name for cassava, is an important staple crop that feeds millions of people in tropical countries and provides a substantial amount of carbohydrates. To minimize these losses and guar...
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This research offers an in-depth analysis of the integration of Autonomous Vehicle Platooning, Vehicle-to-Everything (V2X) communication, Edge Analytics, and Real-time Traffic Management. Central to the study is '...
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Rapid developments in digital technology have expedited the dissemination of information on social media platforms like as Twitter, Facebook, and Weibo. Unverified information can create protests and mislead the publi...
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Efficient timetable creation is paramount for organizational productivity, yet often a labor-intensive task. In this paper, we present 'Timelog', a groundbreaking innovation that harnesses the power of Genetic...
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