Results 101 to 110 of about 47,865 (312)
GPS Spoofing Attacks on Autonomous Navigation Systems for UAVs
Recently, autonomous navigation systems in UAV have been rapidly adopted. however, there is a lack of research on GPS spoofing attack against autonomous navigation for UAVs.
Ji Hyuk Jung, Mi Yeon Hong, Ji Won Yoon
doaj +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Neural networks robot controller trained with evolution strategies [PDF]
Congress on Evolutionary Computation. Washington, DC, 6-9 July 1999.Neural networks (NN) can be used as controllers in autonomous robots. The specific features of the navigation problem in robotics make generation of good training sets for the NN ...
Molina López, José Manuel +4 more
core +1 more source
Robust and Precise Navigation and Obstacle Avoidance for Unmanned Ground Vehicle
This paper presents a robust control strategy based on simplified second-order sliding mode for autonomous navigation and obstacle avoidance for an unmanned ground vehicle.
Iván González-Hernández +3 more
doaj +1 more source
Autonomous drone navigation has evolved significantly as a result of the integration of cutting-edge computer vision and reinforcement learning algorithms. In this study, we propose a comprehensive framework that combines the adaptability of the TD3 neural network, the agility of the Ros2 platform, and the resilience of the YOLOv3 object detection ...
openaire +1 more source
Impact of Plasma p‐tau181 on Cognition, Motor Phenotypes, and Disease Course in ALS
ABSTRACT Phosphorylated tau181 (p‐tau181), an Alzheimer's disease biomarker, was recently evaluated in amyotrophic lateral sclerosis (ALS). We investigated plasma p‐tau181 in 202 ALS/ALS‐FTD patients and 94 healthy controls, assessing cognitive performance, motor function, and longitudinal dynamics.
Elisabeth Kasper +25 more
wiley +1 more source
Autonomous celestial navigation has been exploited for orbit determination of deep space exploration. Geometric constraints in celestial measurement are the inherent attributes in actual comprehensive autonomous celestial navigation physical systems ...
Xin Ma, Xiaolin Ning, Xiao Chen, Jin Liu
doaj +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
THE USE OF UAVs (UNMANNED AERIAL VEHICLE), COMPACT PLANES WITHOUT CREW AND EQUIPPED WITH AUTONOMOUS SYSTEMS FOR NAVIGATION AND CONTROL, IS VERY INTERESTING FOR ENVIRONMENT MONITORING.
GRASSI, MICHELE
core

