Augmented Reality (AR) is rapidly transforming educational landscapes, offering an immersive and interactive learning experience. This literature mapping review explores the current landscape of AR in higher education...
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The Internet of Things(IoT)and cloud technologies have encouraged massive data storage at central ***-defined networks(SDN)support the processing of data and restrict the transmission of duplicate *** is necessary to ...
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The Internet of Things(IoT)and cloud technologies have encouraged massive data storage at central ***-defined networks(SDN)support the processing of data and restrict the transmission of duplicate *** is necessary to use a data de-duplication mechanism to reduce communication costs and storage *** State of the art schemes suffer from computational overhead due to deterministic or random tree-based tags generation which further increases as the file size *** paper presents an efficient file-level de-duplication scheme(EFDS)where the cost of creating tags is reduced by employing a hash table with key-value pair for each block of the ***,an algorithm for hash table-based duplicate block identification and storage(HDBIS)is presented based on fingerprints that maintain a linked list of similar duplicate blocks on the same *** tables normally have a consistent time complexity for lookup,generating,and deleting stored data regardless of the input *** experiential results show that the proposed EFDS scheme performs better compared to its counterparts.
UASs are used for a variety of sophisticated missions. It is critical to protect people and property from any unwanted and uncontrolled UAS behavior. The goal of this research is to offer an intelligent, event-based k...
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Growing population and increasing air pollution in different countries around the world have incentivized the need to expand the renewable power plant capacities. Small-scale renewable power plants, especially solar a...
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In this letter, a novel light-weight audio mosaic scheme using permutations of linear predictive coding (LPC) coefficients as LPC has been widely adopted in many audio codecs (coder-encoders) nowadays. We establish th...
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A common issue in learning decision-making policies in data-rich settings is spurious correlations in the offline dataset, which can be caused by hidden confounders. Instrumental variable (IV) regression, which utilis...
A common issue in learning decision-making policies in data-rich settings is spurious correlations in the offline dataset, which can be caused by hidden confounders. Instrumental variable (IV) regression, which utilises a key unconfounded variable known as the instrument, is a standard technique for learning causal relationships between confounded action, outcome, and context variables. Most recent IV regression algorithms use a two-stage approach, where a deep neural network (DNN) estimator learnt in the first stage is directly plugged into the second stage, in which another DNN is used to estimate the causal effect. Naively plugging the estimator can cause heavy bias in the second stage, especially when regularisation bias is present in the first stage estimator. We propose DML-IV, a non-linear IV regression method that reduces the bias in two-stage IV regressions and effectively learns high-performing policies. We derive a novel learning objective to reduce bias and design the DML-IV algorithm following the double/debiased machine learning (DML) framework. The learnt DML-IV estimator has strong convergence rate and O(N-1/2) suboptimality guarantees that match those when the dataset is unconfounded. DML-IV outperforms state-of-the-art IV regression methods on IV regression benchmarks and learns high-performing policies in the presence of instruments.
Nonalcoholic steatohepatitis (NASH) is a chronic liver disease that can progress to cirrhosis, liver failure, and hepatocellular cancer. Currently, liver biopsy is the gold standard for diagnosis, but it is invasive a...
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Conventional refrigeration processes release ammonia and freon into the atmosphere,which results in global *** problems may be overcome by using thermoelectric modules because of the absence of coolants or refrigerant...
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Conventional refrigeration processes release ammonia and freon into the atmosphere,which results in global *** problems may be overcome by using thermoelectric modules because of the absence of coolants or refrigerants in these ***,the cooling performances of such modules are relatively small in comparison to those of conventional *** this paper,the working principles of thermoelectric modules are discussed together with a review of different relevant aspects,namely:the thermoelectric materials,and their mechanical properties used to build thermoelectric devices,different types of thermoelectric devices available on the market,mathematical modeling of thermoelectric materials,and various applications of thermoelectric materials in different fields.
This paper presents a set of developments for the design of a user-centric framework for perceptually efficient streaming of 360-degree edited videos. First, we introduce a software for annotation of regions of intere...
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Leaf miner pests pose a serious threat to the productivity, profitability, and sustainability of soil-less tomato cultivation systems. Early and accurate identification of leaf miner infestation is crucial for timely ...
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