A Novel Approach to Automatically Balance Flow in Profile Extrusion Dies Through Computational Modeling. [PDF]
Wagner G +4 more
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
On the recurrent neural network model with robust expectile-based loss function in economic data forecasting. [PDF]
Saputra WH, Nariswari R, Owen M.
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Fine-tuned deep transfer learning: an effective strategy for the accurate chronic kidney disease classification. [PDF]
Khan ZA +7 more
europepmc +1 more source
Multi‐million cycle reliability for liquid metal stretchable electronics is achieved through a continuous cycle of mechanical testing, failure mode and mechanism analysis and implementing subsequent mitigation strategies. ABSTRACT Stretchable electronics that combine mechanical compliance with reliable electrical performance are essential for ...
Lennert Purnal +8 more
wiley +1 more source
Introducing a hybrid intrusion detection method for IoT-cloud environments based on ResNeXt and improved Ebola optimization search algorithm. [PDF]
Wu J, Fu S, Sarabi M.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Cervical cancer prediction using deformable kernel darknet-53 and depth wise separable convolutional neural networks. [PDF]
Ameta GK +8 more
europepmc +1 more source
Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring
Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim +8 more
wiley +1 more source

