Legal judgments are often lengthy and complex, making it difficult for legal professionals to efficiently extract relevant information such as legal principles, precedents, and case outcomes. While existing automatic ...
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Indoor Positioning (IP) technology aids in providing location-based services within a campus. Indoor navigation applications are deployed in universities, airports, hospitals, shopping malls and railway stations to gu...
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Client prediction of churn is a difficult field of study that adds to client retention strategies. In a saturated and competitive market, telecommunications companies must rely on a viable churn customers prediction m...
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Agriculture plays an important role in the economy of any *** half of the population of developing countries is directly or indirectly connected to the agriculture *** farmers do not choose the right crop for cultivat...
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Agriculture plays an important role in the economy of any *** half of the population of developing countries is directly or indirectly connected to the agriculture *** farmers do not choose the right crop for cultivation depending on their soil type,crop type,and climatic requirements like *** wrong decision of crop selection directly affects the production of the crops which leads to yield and economic loss in the *** parameters should be observed such as soil characteristics,type of crop,and environmental factors for the cultivation of the right *** decision-making is time-taking and requires extensive ***,there should be an automated system for the right crop recommendation to reduce human efforts and *** automated crop recommender system should take these parameters as input and suggest the farmer’s right ***,in this paper,a long short-term memory Network with an attention block has been *** proposed model contains 27 layers,the first of which is a feature input *** exist 25 hidden layers between them,and an output layer completes the *** these levels,the proposed model enables a successful recommendation of the ***,the dropout layer’s regularization properties aids in reduction of overfitting of the *** this paper,a customized novel long short-term memory(LSTM)model is proposed with a residual attention block that recommends the right crop to *** metrics used for the proposed model include f1-score,recall,precision,and accuracy attaining values as 95.69%,96.56%,96.9%,and 97.26%respectively.
In this poster, I first briefly introduce several system work in the Database Research Group at Southern University of science and technology, (i.e., DBGroup@SUSTech);I next present the key ideas of our on-going proje...
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People's lives have been evolving due to the advancement of technology, especially in the aspect of mobile internet which has promoted the usage of fitness apps. With this app, users can exercise at anytime and an...
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Traffic congestion is a significant issue that is becoming increasingly prevalent in modern society, particularly in major metropolitan areas. The negative impacts of traffic congestion include increased air and noise...
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This research investigates the efficacy of various machine learning algorithms in detecting malware. Utilizing a dataset of 20,000 observations with 33 features,28 classification algorithms are applied and evaluated t...
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In this research, we present an extensive exploration of machine learning techniques applied to the detection and classification of 16 distinct bird species indigenous to Bangladesh. Leveraging the advanced Vision Tra...
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Scratch is an innovative and the most popular block-based Visual Programming Language designed for beginners to learn programming effectively. However, it lacks the capacity to allow users to learn and solve larger re...
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