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Quality and Security Frameworks for IoT-Architecture Models Evaluation
The concept behind IoT is as powerful as it is complex, and for the entities and modules in the IoT solution to mesh together perfectly, they all...
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Low resource FPGA implementation based efficient image edge detector architecture
This paper proposes a resource-efficient architecture of Sobel edge detector, Prewitt edge detector, Roberts edge detector and Laplacian edge...
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Decentralized control architecture for multi-authoring microgrids
A prosumer is a consumer who uses tiny, renewable electricity generation units and, in addition to consumption, can also generate electricity. With...
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A lightweight architecture for hand gesture recognition
This paper proposes a lightweight architecture to recognize hand gestures that can be implemented in the resource-constrained device. There are two...
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The model architecture search system for chromosome image classification
The classification of chromosome images holds immense significance in the fields of genetics, clinical diagnostics, and medical research. It plays a...
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Manas: multi-agent neural architecture search
The Neural Architecture Search (NAS) problem is typically formulated as a graph search problem where the goal is to learn the optimal operations over...
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A hybrid memory architecture supporting fine-grained data migration
Hybrid memory systems composed of dynamic random access memory (DRAM) and Non-volatile memory (NVM) often exploit page migration technologies to...
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Anti-Bandit for Neural Architecture Search
Neural Architecture Search (NAS) is a highly challenging task that requires consideration of search space, search efficiency, and adversarial...
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A model-based reference architecture for complex assistive systems and its application
Complex assistive systems providing human behavior support independent of the age or abilities of users are broadly used in a variety of domains...
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Search on dual-space: discretization accuracy-based architecture search for person re-identification
Network architectures automatically generated for person re-identification (re-ID) using neural architecture search (NAS) algorithms exhibit unique...
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Underwater object detection based on enhanced YOLOv4 architecture
Object detection and image restoration pose significant challenges in deep learning and computer vision. These tasks are widely employed in various...
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Modern Enterprise Architecture Using DevSecOps and Cloud-Native in Large Enterprises
Enterprise Architecture (EA) frameworks such as TOGAF and Zachman are still valid, but enterprise architects also need to adapt to the new reality of...
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A novel pipelined architecture of entropy filter
In computer vision, entropy is a measure adopted to characterize the texture information of a grayscale image, and an entropy filter is a fundamental...
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Improved Brain Tumor Segmentation Using UNet-LSTM Architecture
Brain Tumor is always known for its deadliest behavior and people’s less survival probability against it. It is a complex and life- changing medical...
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Serverless Architecture
As the most influential organization in ICT, the Computing Technology Industry Association (CompTIA) announces the ten most influential emerging... -
MAIM: a mixer MLP architecture for image matching
Recent advances in multilayer perceptron (MLP) models have provided new effective network architecture designs for computer vision tasks. Compared...
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Cloud-native systems resilience assessments based on kubernetes architecture graph
Chaos engineering is a popular approach in cloud-native system resilience assessments. It uses fault injection to test if the system is still...
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An ICT architecture for Smart Local Councils: a Mauritian case study
The purpose of this paper is to present the work done with regards to the development of an ICT architecture for Smart Local Councils in Mauritius...
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Historical architecture pedagogy meets virtual technologies: A comparative case study
The immersive experience and diverse interaction modes provided by virtual digital technology match the spatial sensitivity and practical ability...
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Debugging Architecture Patterns
You now have enough background material that I can introduce debugging architecture patterns in this chapter. These are solutions to common problems...