Joint optimization of system utility in UAV-enabled edge computing. [PDF]
Zuo H, Zhang E, Tang Y, Yin M, Dong W.
europepmc +1 more source
Abstract Discrete choice experiments are increasingly being used to estimate land managers' willingness to accept participation in incentive‐based environmental programs. This is a specific application of discrete choice experiments: the estimation of willingness to accept for a private good (program participation) where respondents have to make trade ...
Anastasio J. Villanueva +2 more
wiley +1 more source
Adaptive and intelligent customized deep Q-network for energy-efficient task offloading in mobile edge computing environments. [PDF]
Anand J, Karthikeyan B.
europepmc +1 more source
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao +5 more
wiley +1 more source
Weaponizing cognitive bias in autonomous systems: a framework for black-box inference attacks. [PDF]
Chu S, Chen Y.
europepmc +1 more source
Exploration Priority Based Heuristic Approach to UAV Path Planning
This paper presents a 3D online path planning algorithm for Unmanned Aerial Vehicles (UAVs) equipped with limited range sensors and computational resources in unknown cluttered environments. Even though quadrotor UAVs are considered to be a promising technology for surveillance purposes in indoor environments and for close observation in outdoor urban ...
openaire
Detecting cryptic ghost lineage introgression in four‐taxon genomic datasets
Abstract Premise Hybridization and introgression are pervasive evolutionary forces that have played fundamental roles in shaping the diversity of wild and domesticated plants. Four‐taxon tests for introgression provide a reliable framework for detecting signatures of ancient introgression from genomic data, which have played an important role in ...
Evan S. Forsythe +3 more
wiley +1 more source
Direction aware and self-adaptive A* algorithm with PPO heuristic for UAV path planning of smart city. [PDF]
Zhang X, Tan L, Chai J.
europepmc +1 more source
A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab +5 more
wiley +1 more source
Lightweight Reinforcement Learning for Priority-Aware Spectrum Management in Vehicular IoT Networks. [PDF]
Iqbal A, Nauman A, Khurshaid T.
europepmc +1 more source

