Day-ahead peak load probability density forecasting based on QRLSTM-DF considering exogenous factors
Y He, C Cao, J Xiao - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
High-precision peak load forecasting is the guarantee of dispatching and decision-making in
power systems. It is difficult to predict the peak power demand accurately and robustly due to …
power systems. It is difficult to predict the peak power demand accurately and robustly due to …
Skeleton extraction and greedy-algorithm-based path planning and its application in UAV trajectory tracking
J Chang, N Dong, D Li, WH Ip… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Space research is of great significance to increasingly decentralized and distributed space
systems, and path planning in space systems has become a research hotspot for …
systems, and path planning in space systems has become a research hotspot for …
Deep reinforcement learning-based pedestrian and independent vehicle safety fortification using intelligent perception
P Vijayakumar, SC Rajkumar - International Journal of Software …, 2022 - igi-global.com
Abstract The Light Detection and Ranging (LiDAR) sensor is utilized to track each sensed
obstructions at their respective locations with their relative distance, speed, and direction; …
obstructions at their respective locations with their relative distance, speed, and direction; …
EARP: An enhanced ACO-based routing protocol for wireless sensor networks with multiple mobile sinks
N Moussa, D Benhaddou… - International Journal of …, 2022 - Springer
A plenty of Ant Colony Optimization (ACO)-based routing algorithms have been proposed to
find optimal path of mobile sinks in Wireless Sensor Networks (WSNs). However, they …
find optimal path of mobile sinks in Wireless Sensor Networks (WSNs). However, they …
An energy balanced and nodes aware routing protocol for energy harvesting wireless sensor networks
Abstract The lifetime of Wireless Sensor Networks (WSN) is a significant constraint since
they are powered by non-rechargeable batteries with limited capacity. A promising solution …
they are powered by non-rechargeable batteries with limited capacity. A promising solution …
Graph convolutional network-based reinforcement learning for tasks offloading in multi-access edge computing
L Leng, J Li, H Shi, Y Zhu - Multimedia Tools and Applications, 2021 - Springer
To achieve high quality of service for computation-intensive applications, multi-access edge
computing (MEC) is proposed for offloading tasks to MEC servers. The emerging …
computing (MEC) is proposed for offloading tasks to MEC servers. The emerging …
Urban traffic flow management on large scale using an improved ACO for a road transportation system
Purpose With the demographic increase, especially in big cities, heavy traffic, traffic
congestion, road accidents and augmented pollution levels hamper transportation networks …
congestion, road accidents and augmented pollution levels hamper transportation networks …
Jam Propagation Analysis With Mesoscopic Traffic Simulation
B Varga, T Tettamanti - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Road traffic simulation is becoming more important as the complexity and multi-modality of
traffic grow with the evolution of novel transportation and automotive technologies. There are …
traffic grow with the evolution of novel transportation and automotive technologies. There are …
Community trend message locking routing protocol for delay tolerant network
Abstract Delay Tolerant Network (DTN) establishes the communication framework in
environments where source and destination cannot establish the end-to-end path due to the …
environments where source and destination cannot establish the end-to-end path due to the …
Improved Quality of Service by canine olfactory route finding algorithm for Vehicular Ad Hoc Network
S Ghosh, I Saha Misra… - Transactions on Emerging …, 2023 - Wiley Online Library
QoS aware vehicular ad‐hoc network (VANET) routing protocols address the increasing
demand for delay‐sensitive vehicular applications to establish intelligent transportation …
demand for delay‐sensitive vehicular applications to establish intelligent transportation …