This research introduces an innovative Question Answering (QA) system tailored explicitly for government department inquiries regarding individuals. Harnessing the prowess of cutting-edge language models such as BERT ...
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Parkinson's disease is a common neurological condition that predominantly im-pacts people who are older than fifty, leading to speech impairments and movement diffi-culties. Timely diagnosis of PD is essential for...
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Problem: Cancer is one of the deadliest diseases prevalent in the world. Survivability, early diagnosis, and accurate prognosis are of utmost importance for the therapeutics and clinical management of cancer patients....
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Real-time multimedia applications provide visual and audible services collaborated with the cloud platform for heterogeneous user requirements. Multi-source information storage and fusion satisfy the user demands thro...
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Fake news is a growing problem in the digital age, spreading misinformation and affecting public opinion. Existing fake news detection is based on style analysis or news generator's behavior analysis, the former f...
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The architecture of the brain is incredibly complex, with multiple areas managing various parts of the nervous system. An adult's health is greatly at risk from brain tumors because of their ability to severely im...
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Vision-based target motion estimation based Kalman filtering or least-squares estimators is an important problem in many tasks such as vision-based swarming or vision-based target *** this paper,we focus on a problem ...
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Vision-based target motion estimation based Kalman filtering or least-squares estimators is an important problem in many tasks such as vision-based swarming or vision-based target *** this paper,we focus on a problem that is very specific yet we believe *** is,from the vision measurements,we can formulate various *** and how the measurements should be used?These problems are very fundamental,but we notice that practitioners usually do not pay special attention to them and often make *** by this,we formulate three pseudo-linear measurements based on the bearing and angle measurements,which are standard vision measurements that can be *** estimators based on Kalman filtering and least-squares estimation are established and compared based on numerical *** is revealed that correctly analyzing the covariance noises is critical for the Kalman filtering-based *** the variance of the original measurement noise is unknown,the pseudo-linear least-squares estimator that has the smallest magnitude of the transformed noise can be a good choice.
In India, one of the commercial crops is arecanut. The majority of arecanut growers depend on the arecanut production. However, they are also having a great deal of difficulty finding skilled workers to do pesticide s...
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Network analysis is a promisingfield in the area of network applications as different types of traffic grow enormously and *** route prediction is a challenging task in the Large Scale Networks(LSN).Various non-self-lea...
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Network analysis is a promisingfield in the area of network applications as different types of traffic grow enormously and *** route prediction is a challenging task in the Large Scale Networks(LSN).Various non-self-learning and self-learning approaches have been adopted to predict reliable *** protocols decide how to send all the packets from source to the destination addresses across the network through their *** the current era,dynamic protocols are preferred as they network self-learning internally using an algorithm and may not entail being updated physically more than the static protocols.A novel method named Reliable Route Prediction Model(RRPM)is proposed tofind the best routes in the given hefty gage network to balance the load of the entire network to advance the network *** task is carried out in two *** thefirst phase,Network Embedding(NE)based node classification is carried *** second phase involves the network analysis to predict the route of the *** experiment is carried out for average data transmission and rerouting time is measured between RRPM and Routing Information Protocol(RIP)protocol models with before and after failure *** was observed that average transmission time for RIP protocol has measured as 18.5 ms and RRPM protocol has measured as 18.2 *** the proposed RRPM model outperforms well than the traditional routefinding protocols such as RIP and Open Shortest Path First(OSPF).
Accurate air quality prediction is crucial for environmental monitoring and public health. This study explores a novel approach using machine learning algorithms and large language models to predict the Air Quality In...
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