Thereis a clear and present lethal clash between South Africa's wildlife and its expanding population. Some of its main effects are harm to people and property. Fatalities, crop damage, livestock threads, and habi...
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The quality of the airwe breathe during the courses of our daily lives has a significant impact on our health and well-being as ***,personal air quality measurement remains *** this study,we investigate the use of fir...
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The quality of the airwe breathe during the courses of our daily lives has a significant impact on our health and well-being as ***,personal air quality measurement remains *** this study,we investigate the use of first-person photos for the prediction of air *** main idea is to harness the power of a generalized stacking approach and the importance of haze features extracted from first-person images to create an efficient new stacking model called AirStackNet for air pollution *** consists of two layers and four regression models,where the first layer generates meta-data fromLight Gradient Boosting Machine(Light-GBM),Extreme Gradient Boosting Regression(XGBoost)and CatBoost Regression(CatBoost),whereas the second layer computes the final prediction from the meta-data of the first layer using Extra Tree Regression(ET).The performance of the proposed AirStackNet model is validated using public Personal Air Quality Dataset(PAQD).Our experiments are evaluated using Mean Absolute Error(MAE),Root Mean Square Error(RMSE),Coefficient of Determination(R2),Mean Squared Error(MSE),Root Mean Squared Logarithmic Error(RMSLE),and Mean Absolute Percentage Error(MAPE).Experimental Results indicate that the proposed AirStackNet model not only can effectively improve air pollution prediction performance by overcoming the Bias-Variance tradeoff,but also outperforms baseline and state of the art models.
To extract important information from the document images, document layout analysis research has been carried out. Previous research analyzes document layouts only for specific document formats. This paper proposes a ...
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In recent years, the pervasive dissemination of misinformation and deliberately falsified content, commonly referred to as 'fake news,' has become a critical challenge in the realm of information dissemination...
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In a number of industries, including computer graphics, robotics, and medical imaging, three-dimensional reconstruction is essential. In this research, a CNN-based Multi-output and Multi-Task Regressor with deep learn...
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Small and medium-sized enterprises (SMEs) face significant challenges to grow and make strategic decisions due to their small size and limited resources. This study proposes a model to identify the factors that influe...
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Multicore systems oftentimes use multiple levels of cache to bridge the gap between processor and memory *** paper presents a new design of a dedicated pipeline cache memory for multicore processors called dual port c...
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Multicore systems oftentimes use multiple levels of cache to bridge the gap between processor and memory *** paper presents a new design of a dedicated pipeline cache memory for multicore processors called dual port content addressable memory(DPCAM).In addition,it proposes a new replacement algorithm based on hardware which is called a near-far access replacement algorithm(NFRA)to reduce the cost overhead of the cache controller and improve the cache access *** experimental results indicated that the latency for write and read operations are significantly less in comparison with a set-associative cache ***,it was shown that a latency of a read operation is nearly constant regardless of the size of ***,an estimation of the power dissipation showed that DPCAM consumes about 7%greater than a set-associative cache memory of the same *** results encourage for embedding DPCAM within the multicore processors as a small shared cache memory.
While cycling offers an attractive option for sus-tainable transportation, many potential cyclists are discouraged from taking up cycling due to the lack of suitable and safe infrastructure. Efficiently mapping cyclin...
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Measuring semantic similarity and analyzing authorial style are fundamental tasks in Natural Language Processing (NLP), with applications in text classification, cultural analysis, and literary studies. This paper inv...
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A language framework for determining the similarity of two snipped texts is proposed. The edit distance concept is employed as a frame algorithm to capture syntactic and semantic similarities. In the proposed work, sy...
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