Enhanced clustering approach for efficient relay vehicle selection in vehicular ad hoc networks. [PDF]
Kumar V +9 more
europepmc +1 more source
An innovative traffic light recognition method using vehicular ad-hoc networks. [PDF]
Al-Ezaly E +3 more
europepmc +1 more source
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source
A joint shadowing process model for multihop/ad-hoc networks in urban environment
For multihop/Ad-hoc networks, the conventional one-dimensional (1-D) channel model cannot capture the spatial correlation of the shadowing processes. This paper investigates the joint spatial/temporal correlation property the shadowing process for peer ...
Nix, AR +3 more
core
An intelligent bio-inspired multi-objective and scalable UAV-assisted clustering algorithm in flying ad hoc networks. [PDF]
Aslam Z +5 more
europepmc +1 more source
LoRa Technology in Flying Ad Hoc Networks: A Survey of Challenges and Open Issues. [PDF]
Paredes WD +3 more
europepmc +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
The Role of Congestion-Adaptive Routing Protocol in Mobile Ad Hoc Networks. [PDF]
Rathod VU, Gumaste SV, Majumder H.
europepmc +1 more source
Retracted: An Efficient and Reliable Routing Method for Hybrid Mobile Ad Hoc Networks Using Deep Reinforcement Learning. [PDF]
And Biomechanics AB.
europepmc +1 more source
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source

