Results 171 to 180 of about 1,235,922 (317)
National progress in dengue vector control in Vietnam: survey for Mesocyclops (Copepoda), Micronecta (Corixidae), and fish as biological control agents. [PDF]
, 2000 Vũ Sinh Nam +4 more
openalex +1 more source
Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems
International Journal of Adaptive Control and Signal Processing, EarlyView.This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley +1 more source
Climate-responsive vector control strategies for Aedes albopictus. [PDF]
Parasit VectorsBellver-Arnau J +4 more
europepmc +1 more source
A Consideration about Stability of Vector Controlled Induction Motor Systems
, 1999 H. Sugimoto, Li Ding
openalex +2 more sources
La reforma del sector salud, descentralización, prevención y control de enfermedades transmitidas por vectores [PDF]
, 2000 Gabriel A. Schmuñis +1 more
openalex +1 more source
Advanced Biology, EarlyView.Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed +3 more
wiley +1 more source
Advanced Biology, EarlyView.The study reveals that RRP9 is abnormally highly expressed in ESCC tissues and is closely associated with poor prognosis in patients. Furthermore, it is found that RRP9 promotes ESCC progression through enhancing the E2F1‐mediated transcriptional regulation of CDK1.
Gang He +14 more
wiley +1 more source
Acceptance of a dengue vaccine and potential change in vector control behavior. [PDF]
IJID RegPonmattam J +4 more
europepmc +1 more source
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source