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On-Device Query Auto-completion for Email Search
Traditional query auto-completion (QAC) relies heavily on search logs collected over many users. However, in on-device email search, the scarcity of... -
Networked Industrial Control Device Asset Identification Method Based on Improved Decision Tree
Industrial control device asset identification is essential to the active defense and situational awareness system for industrial control network...
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Search-Time Efficient Device Constraints-Aware Neural Architecture Search
Edge computing aims to enable edge devices, such as IoT devices, to process data locally instead of relying on the cloud. However, deep learning... -
Automatic cables segmentation from a substation device based on 3D point cloud
The point cloud segmentation of a substation device attached with cables is the basis of substation identification and reconstruction. However, it is...
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Federated privacy-preserving collaborative filtering for on-device next app prediction
In this study, we propose a novel SeqMF model to solve the problem of predicting the next app launch during mobile device usage. Although this...
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Fast and efficient face detector based on large kernel attention for CPU device
Efficient face detectors with low computational cost and fast speed are still a pressing problem despite the significant progress made in...
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Chatbots, search engines, and the sealing of knowledges
In 2023, online search engine provider Microsoft integrated a language model that provides direct answers to search queries into its search engine...
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Neural architecture search based on packed samples for identifying animals in camera trap images
Biodiversity monitoring is valuable for reversing the global trend of biodiversity loss. The typical indicators in biodiversity monitoring are wild...
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Search Result Presentation
This chapter focuses on the presentation of search results. For some years now, the well-known search engines have deviated from the standard list... -
Shop by image: characterizing visual search in e-commerce
Visual search has become more popular in recent years, allowing users to search by an image they are taking using their mobile device or uploading...
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Qubit Map** Based on Tabu Search
The goal of qubit map** is to map a logical circuit to a physical device by introducing additional gates as few as possible in an acceptable amount...
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DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning
Neural Architecture Search (NAS) has demonstrated state-of-the-art performance on various computer vision tasks. Despite the superior performance...
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On-device Deep Learning Location Category Inference Model
We define Location Category Inference (LCI) as a task of predicting the category of a visited venue, such as bar, restaurant or university, given... -
Voice-Interactive Learning Dialogue on a Low-Cost Device
Traditional offline learning approaches are reaching their limits in meeting the dynamic demands of specialized applications, such as real-time... -
FasterMDE: A real-time monocular depth estimation search method that balances accuracy and speed on the edge
Monocular depth estimation (MDE) is critical in enabling intelligent autonomous systems and has received considerable attention in recent years....
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Ranking Search Results
Ranking is about putting the search results in a useful order so that the most relevant results are shown first and less relevant results further... -
Memento: a prototype search engine for LSC 2021
In this extended paper, we describe our lifelog retrieval system called Memento which participated in the 2021 Lifelog Search Challenge in detail....
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Search Engine Optimization (SEO)
This chapter deals with approaches how to make content available in the best possible way via search engines—i.e., how to exploit search engine... -
OptiDiab: revolutionizing diabetes detection with the binary bald eagle search algorithm
With the continuous rise in the count of deadly diseases that risk either human life or health, the medical Decision Support System keeps proving its...
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Faster-FIIS-GMS: a novel object detection framework for instance search
Visual sensors are widely deployed in many promising detection fields, such as precision measurement, visual object detection and search. Instance...