2,313 Result(s)
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Chapter and Conference Paper
Deep Reinforcement Learning for Delay and Energy-Aware Task Scheduling in Edge Clouds
Edge computing is proving to be a promising model, offering low-latency and high-bandwidth services to the end-users. However, due to the dynamic nature of the network and the heterogeneous computing resources...
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Chapter and Conference Paper
Fourier-Based Instance Selective Whitening for Domain Generalized Lane Detection
Lane detection represents a fundamental task within autonomous driving. While deep learning has made remarkable advancements in the source domain, its ability to generalize to unseen target domains still poses...
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Chapter and Conference Paper
Generation Method of Dynamic Alarm Baseline for Cloud Server Based on XGBoost and Tolerability
In order to solve the problem that massive server alarm management of cloud data centers in electric power enterprises cannot adapt to the personalized operation of cloud business and lean equipment management...
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Chapter and Conference Paper
An Intrusion Detection System Using the XGBoost Algorithm for SDVN
Vehicular ad hoc networks (VANETs) rely on Software-Defined Networking (SDN) to enable continuous exchange of information and messages about vehicle and road conditions. This facilitates convenience for users ...
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Chapter and Conference Paper
Predictive Modelling with the Open University Learning Analytics Dataset (OULAD): A Systematic Literature Review
Higher education has experienced an unparalleled digital transformation, driven by the widespread adoption of online learning with massive users, which has risen to an explosive growth in the generation and an...
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Chapter and Conference Paper
End-to-End Optical Music Recognition with Attention Mechanism and Memory Units Optimization
Optical Music Recognition (OMR) is a research field aimed at exploring how computers can read sheet music in music documents. In this paper, we propose an end-to-end OMR model based on memory units optimizatio...
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Chapter and Conference Paper
A Research on the Manchu-Chinese Bilingual Comparative Characteristics of the Yu Zhi Zeng Ding Qing Wen Jian Dictionary
Yu Zhi Zeng Ding Qing Wen Jian was the first official Manchu-Chinese bilingual dictionary of the Qing Dynasty. It added Chinese translation to the entries, employed Chinese characters to indicate the pronunciatio...
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Chapter and Conference Paper
College Student Mental Health Analysis Based on Machine Learning Algorithm
The role of mental health in college students is very important, but there is a problem of low accuracy. In the past, psychological evaluation methods could not solve the problem of mental health evaluation am...
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Chapter and Conference Paper
An Education-Oriented Collaborative Code Hosting Platform for Programming Courses
Online practicing platforms and open-source communities have enriched teachers and students with abundant teaching resources and convenient practicing environments. However, the designs of these platforms cann...
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Chapter and Conference Paper
A Survey and Planning Advice of Blockchain-Based Used Car Bidding Platform
In recent years, due to the increasing gap between rich and poor around the world, more and more people prefer to buy second-hand cars instead of buying new ones. As a result, the production and demand for new...
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Chapter and Conference Paper
A Multi-modality Driven Promptable Transformer for Automated Parapneumonic Effusion Staging
Pneumonia is a prevalent disease, and some pneumonia patients develop parapneumonic effusion. Among patients with pneumonia, the mortality rate of patients with parapneumonic effusion is higher than that of pa...
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Chapter and Conference Paper
LATrans-Unet: Improving CNN-Transformer with Location Adaptive for Medical Image Segmentation
Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs) have been widely employed in medical image segmentation. While CNNs excel in local feature encoding, their ability to capture long-range depe...
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Chapter and Conference Paper
Multi-scale Contrastive Learning for Building Change Detection in Remote Sensing Images
Self-supervised contrastive learning (CL) methods can utilize large-scale label-free data to mine discriminative feature representations for vision tasks. However, most existing CL-based approaches focus on im...
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Chapter and Conference Paper
When Advertising Meets Assortment Planning: Joint Advertising and Assortment Optimization Under Multinomial Logit Model
While the topic of assortment optimization has received a significant amount of attention, the relationship between advertising and its impact on this issue has not been well-explored. This paper aims to fill ...
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Chapter and Conference Paper
Dynamic GNNs for Precise Seizure Detection and Classification from EEG Data
Diagnosing epilepsy requires accurate seizure detection and classification, but traditional manual EEG signal analysis is resource-intensive. Meanwhile, automated algorithms often overlook EEG’s geometric and ...
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Chapter and Conference Paper
Camouflaged Object Detection via Global-Edge Context and Mixed-Scale Refinement
Camouflage object detection (COD), trying to segment objects that blend perfectly with the surrounding environment, is challenging and complex in real-world scenarios. However, existing deep learning methods o...
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Chapter and Conference Paper
Research on Improved Algorithm of Significance Object Detection Based on ATSA Model
Saliency detection refers to accurately positioning and extracting significant objects or regions in the image. Most effective object detection methods are based on RGB-D and adopt the dual-flow architecture w...
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Chapter and Conference Paper
Harvest Palm Tree Based on Detection Through 2D LiDAR Sensor Using Power Equation
The palm oil industry in Malaysia is encountering challenges that need innovative and technology-driven solutions. This study focuses on palm tree detection where 2D LiDAR sensors are utilized to collect data ...
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Chapter and Conference Paper
A Dynamic Parameter Adaptive Path Planning Algorithm
Path planning in complex environments has always been a focus of research for scholars both domestically and internationally. This study addresses the challenge of path planning that combines obstacle avoidanc...
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Chapter and Conference Paper
Decision Poisson: From Universal Gravitation to Offline Reinforcement Learning
Viewing offline reinforcement learning (RL) through the lens of conditional generative modeling has gradually become more accepted by researchers as a novel sequence modeling approach. Diffusion models have ma...
