Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] TCACNet: Temporal and channel attention convolutional network for motor imagery classification of EEG-based BCI
Brain–computer interface (BCI) is a promising intelligent healthcare technology to improve
human living quality across the lifespan, which enables assistance of movement and …
human living quality across the lifespan, which enables assistance of movement and …
Deliversense: Efficient delivery drone scheduling for crowdsensing with deep reinforcement learning
Delivery drones provide a promising sensing platform for Mobile Crowdsensing (MCS) due
to their high mobility and large-scale deployment. However, due to limited battery lifetime …
to their high mobility and large-scale deployment. However, due to limited battery lifetime …
Ddl: Empowering delivery drones with large-scale urban sensing capability
Delivery drones provide a promising sensing platform for smart cities thanks to their city-
wide infrastructure and large-scale deployment. However, due to limited battery lifetime and …
wide infrastructure and large-scale deployment. However, due to limited battery lifetime and …
ilocus: Incentivizing vehicle mobility to optimize sensing distribution in crowd sensing
Vehicular crowd sensing systems are designed to achieve large spatio-temporal sensing
coverage with low-cost in deployment and maintenance. For example, taxi platforms can be …
coverage with low-cost in deployment and maintenance. For example, taxi platforms can be …
Cyber vulnerabilities of energy systems
In an era characterized by extensive use of and reliance on information and communications
technology (ICT), cyber–physical power systems (CPPSs) have emerged as a critical …
technology (ICT), cyber–physical power systems (CPPSs) have emerged as a critical …
Transformloc: Transforming mavs into mobile localization infrastructures in heterogeneous swarms
A heterogeneous micro aerial vehicles (MAV) swarm consists of resource-intensive but
expensive advanced MAVs (AMAVs) and resource-limited but cost-effective basic MAVs …
expensive advanced MAVs (AMAVs) and resource-limited but cost-effective basic MAVs …
H-swarmloc: Efficient scheduling for localization of heterogeneous mav swarm with deep reinforcement learning
Emergency rescue scenarios are considered to be high-risk scenarios. Using a micro air
vehicle (MAV) swarm to explore the environment can provide valuable environmental …
vehicle (MAV) swarm to explore the environment can provide valuable environmental …
Scheduling uav swarm with attention-based graph reinforcement learning for ground-to-air heterogeneous data communication
J Ren, Y Xu, Z Li, C Hong, XP Zhang… - Adjunct Proceedings of the …, 2023 - dl.acm.org
In disaster scenarios, unmanned aerial vehicles (UAVs) can serve as mobile base stations
because of their maneuverability and synergy. However, due to constrained UAV …
because of their maneuverability and synergy. However, due to constrained UAV …
Adaptive hybrid model-enabled sensing system (HMSS) for mobile fine-grained air pollution estimation
Fine-grained city-scale outdoor air pollution maps provide important environmental
information for both city managers and residents. Installing portable sensors on vehicles (eg …
information for both city managers and residents. Installing portable sensors on vehicles (eg …
Electric vehicle charging planning: A complex systems perspective
In this paper, we introduce an innovative framework for the strategic planning of electric
vehicle (EV) charging infrastructure within interconnected energy-transportation networks …
vehicle (EV) charging infrastructure within interconnected energy-transportation networks …