A chronic respiratory disease known as pneumonia can be devastating if it is not identified and treated in a timely manner. For successful treatment and better patient outcomes, pneumonia must be identified early and ...
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General Matrix-Matrix Multiplication (GEMM) is a commonly used kernel in machine learning, scientific computing and many other applications. designing a customized GEMM accelerator can bring obvious performance and po...
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Accompanied by the development of computer technology, cryptography has become a key technology to ensure information security. Elliptic curve cryptographic algorithm has been the key research object of cryptographers...
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the total generalized variation extends the total variation by incorporating higher-order smoothness. thus, it can also suffer from similar discretization issues related to isotropy. Inspired by the success of novel d...
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Artificial intelligence-based methods help in the automatic detection and diagnosis of various diseases in the medical field. Diabetes affects 5 in 10 people in the world. It can cause diabetic retinopathy(DR) that da...
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ISBN:
(数字)9783031127007
ISBN:
(纸本)9783031126994;9783031127007
Artificial intelligence-based methods help in the automatic detection and diagnosis of various diseases in the medical field. Diabetes affects 5 in 10 people in the world. It can cause diabetic retinopathy(DR) that damages the retina, leading to irreversible vision loss. DR is generally diagnosed by an Ophthalmologist using a patient's fundus image. the Ophthalmologist grades the disease based on severity. Early intervention can delay the progression of the disease. Automatic disease detection can help large-scale patient screening, early detection of diabetic retinopathy, and reduce human error. the work aims to study various ensemble learning models and their ensemble voting methods for the DR classification task. the study also focuses on the effects of data augmentation along with preprocessing. the performance of each of the models has been studied using the Aptos-blindness detection 2019 dataset.
Cognitive architectures have been used to understand learning new tasks, forgetting, error making or navigation and mental map development. the insight cognitive architectures provide can be utilized to understand hum...
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ISBN:
(纸本)9783031722400;9783031722417
Cognitive architectures have been used to understand learning new tasks, forgetting, error making or navigation and mental map development. the insight cognitive architectures provide can be utilized to understand human behavior at a cognitive level. In this paper, we report on the recent developments of our toolbox VRAT which will provide a framework for designing experiments, collecting and analyzing data, and then developing cognitive models that can see and interact withthe environment similar to users. the differentiating factor of our toolbox from previously developed tools is that its abilities are extended to Virtual Reality (VR). the ability to create three-dimensional visual scenes and to measure responses (i.e., gaze data, head and hand movements data) to the visual stimuli enables behavioral researchers to test hypotheses in a way and scale that were previously unfeasible. the difficulty facing the researcher is that sophisticated 3D graphics engines (e.g., Unity) have been created for game designers rather than behavioral scientists. To overcome this barrier VRAT provides a plug- and-go design to help researchers to convert their 2D experiments into VR. It also enables eye tracking and eye tracking visualization in all VR experiments. Enabling researchers to collect and analyze data more efficiently. Additionally, our tool enables (a) a straight forward transition from 2D environment design to 3D, (b) an efficient way to use data collection and visualization framework and (c) an interaction method for cognitive models to extend their capabilities and see and interact with VR environments similar to users.
In the field of image processing and computer vision, negative imaging is vital for applications like medical imaging, art, and data enhancement. this paper introduces an efficient approach for negative image creation...
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the advancement of containerization and various integration tools has greatly reduced the development cost of microservice architecture. Under this premise, many companies have begun to migrate their legacy systems (m...
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Along withthe increasing population density and dense multi-story buildings around Kampung Wisata Jodipan (KWJ) Malang, it has an impact on the group of villagers who are still children. With so many dense buildings,...
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Existing reinforced concrete buildings in the Mediterranean area are vulnerable to seismic actions due to the lack of proper seismic detailing. Different retrofit solutions are available on the market and effective in...
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