github.com/onmyway133/awesome-ios-architecture
onmyway133/awesome-ios-architecture
:japanese_castle: Better ways to structure iOS apps (⭐ 5235)
arxiv.org/abs/1611.09405v1
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection
We propose a single neural network architecture for two tasks: on-line keyword spotting and voice activity detection. We develop novel inference algorithms for an end-to-end Recurrent Neural Network trained with the Connectionist Temporal Classificat...
github.com/bxcodec/go-clean-arch
bxcodec/go-clean-arch
Go (Golang) Clean Architecture based on Reading Uncle Bob's Clean Architecture (⭐ 10025)
github.com/ardalis/CleanArchitecture
ardalis/CleanArchitecture
Clean Architecture Solution Template: A proven Clean Architecture Template for ASP.NET Core 10 (⭐ 18057)
github.com/android/architecture-samples
android/architecture-samples
A collection of samples to discuss and showcase different architectural tools and patterns for Android apps. (⭐ 45594)
arxiv.org/abs/1105.1191v1
Software Architecture for Fiji National University Campus Information Systems
Software Architecture defines the overview of the system which consists of various components and their relationships among the software. Architectural design is very important in the development of large scale software solution and plays a very acti...
arxiv.org/abs/2510.03214v1
Advancing the Concept Maturity Level of the Servicing Architecture for Habitable…
This paper advances the concept maturity level (CML) of the Habitable Worlds Observatory (HWO) servicing architecture. Since servicing has occurred on other missions, this paper argues that the current CML is 2. To advance to CML 3, option spaces mus...
en.wikipedia.org/wiki/SOILED
SOILED - Wikipedia
SOILED is an architecture magazine released periodically that centers on architecture, design, and the interactions between humans and space. It incorporates
arxiv.org/abs/2111.01203v2
One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search
Convolutional neural networks (CNNs) are used in numerous real-world applications such as vision-based autonomous driving and video content analysis. To run CNN inference on various target devices, hardware-aware neural architecture search (NAS) is c...
en.wikipedia.org/wiki/WASABI_architecture
WASABI architecture - Wikipedia
architecture is an approach for simulating emotions for human computer interation, especially embodied agents and social robots. It is motivated by Affective
www.bing.com/ck/a?!&&p=fae1eb11961f63c61b8984338aef1c86a258362ebd1258fa17d12ef553151826JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=0f4e0bdc-239c-62c0-339b-1ccd222963d5&u=a1aHR0cHM6Ly9iaWcuZGsvcHJvamVjdHMvYXJjaGl0ZWN0dXJl&ntb=1
Architecture | Bjarke Ingels Group - big.dk
Explore architecture projects by Bjarke Ingels Group.
arxiv.org/abs/1504.06357v1
Overview of Swallow --- A Scalable 480-core System for Investigating the Perform…
We present Swallow, a scalable many-core architecture, with a current configuration of 480 x 32-bit processors. Swallow is an open-source architecture, designed from the ground up to deliver scalable increases in usable computational power to allow...
arxiv.org/abs/2407.04551v1
An AI Architecture with the Capability to Classify and Explain Hardware Trojans
Hardware trojan detection methods, based on machine learning (ML) techniques, mainly identify suspected circuits but lack the ability to explain how the decision was arrived at. An explainable methodology and architecture is introduced based on the e...
arxiv.org/abs/2102.11646v1
HardCoRe-NAS: Hard Constrained diffeRentiable Neural Architecture Search
Realistic use of neural networks often requires adhering to multiple constraints on latency, energy and memory among others. A popular approach to find fitting networks is through constrained Neural Architecture Search (NAS), however, previous method...
arxiv.org/abs/2006.09264v3
Bonsai-Net: One-Shot Neural Architecture Search via Differentiable Pruners
One-shot Neural Architecture Search (NAS) aims to minimize the computational expense of discovering state-of-the-art models. However, in the past year attention has been drawn to the comparable performance of naive random search across the same searc...
www.bing.com/ck/a?!&&p=469bddd51e0e7b66c04481c7ff6d88bbd470a943549d9f6ffe8e6da5c51cdba6JmltdHM9MTc3MjQwOTYwMA&ptn=3&ver=2&hsh=4&fclid=10ea3add-a0e0-6e57-0d8c-2dcda1556fe0&u=a1aHR0cHM6Ly9iaWcuZGsvcHJvamVjdHMvYXJjaGl0ZWN0dXJl&ntb=1
Architecture | Bjarke Ingels Group - big.dk
Explore architecture projects by Bjarke Ingels Group.
arxiv.org/abs/1304.5317v1
K model for designing Data Driven Test Automation Frameworks and its Design Arch…
Automated testing improves the efficiency of testing practice at various levels of projects in the organization. Unfortunately, we do not have a common architecture or common standards for designing frameworks across different test levels, projects a...
arxiv.org/abs/cs/0006022v1
Multicast-based Architecture for IP Mobility: Simulation Analysis and Comparison…
With the introduction of a newer generation of wireless devices and technologies, the need for an efficient architecture for IP mobility is becoming more apparent. Several architectures have been proposed to support IP mobility. Most studies, howev...
arxiv.org/abs/1802.05100v1
SAPA: Self-Aware Polymorphic Architecture
In this work, we introduce a Self-Aware Polymorphic Architecture (SAPA) design approach to support emerging context-aware applications and mitigate the programming challenges caused by the ever-increasing complexity and heterogeneity of high performa...
arxiv.org/abs/1806.10282v3
Auto-Keras: An Efficient Neural Architecture Search System
Neural architecture search (NAS) has been proposed to automatically tune deep neural networks, but existing search algorithms, e.g., NASNet, PNAS, usually suffer from expensive computational cost. Network morphism, which keeps the functionality of a...