Results 141 to 150 of about 11,511 (294)

Multi-objective optimization for Work-In-Process balancing and throughput maximization in global fab scheduling

open access: yes, 2019
International audienceThis paper presents a multi-objective optimization approach for global fab scheduling, based on a mathematical model that determines production targets, i.e.
F. Barhebwa-Mushamuka   +5 more
core   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
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

Maximization Network Throughput based on Maximal Flow for Single-Source Two-Destinations Multicast

open access: yes, 2014
For guaranteeing all multicast destination nodes receiving the source information with their maximal flow respectively and obtaining the network maximal throughput, a heuristic algorithm based on network coding, Maximal Flow for Single-source Two ...
Liu, Huanlin; Chongiqng University of Posts and Telecommunications   +3 more
core   +1 more source

Large‐Scale and Cost‐Effective Fabrication of Ultra‐Thin, Biodegradable Microelectrode Arrays and Pressure Sensors Using Laser Micromachining

open access: yesAdvanced Materials Technologies, EarlyView.
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala   +5 more
wiley   +1 more source

Delay -limited throughput maximization in fading channels

open access: yes, 2005
Fading channels, seen in many wireless systems, provide a hostile environment for reliable communication. Conventional analysis of fading channels has been performed from the single-attempt paradigm .
Ahmed, Nadeem
core  

Throughput maximization for cognitive radio networks using active cooperation and superposition coding

open access: yes, 2014
We propose a three-message superposition coding scheme in a cognitive radio relay network exploiting active cooperation between primary and secondary networks. The time resource is split into three transmission phases.
Hamza, Doha R.   +7 more
core   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Maximizing Throughput at Soft Airfields

open access: yes, 2013
Because soft airfields can support only a limited number of takeoffs and landings, it is important to understand how to maximize the cargo throughput at these soft fields. This report shows that there is an optimum landing weight that allows for maximum cargo delivery. This optimum landing weight is constant and independent of both aircraft ramp weight
openaire   +3 more sources

Benchmarking Coaxial and Angular Optical Emission Spectroscopy With Recommendations for Reliable Compositional In Situ Monitoring During Laser Powder Bed Fusion

open access: yesAdvanced Materials Technologies, EarlyView.
ABSTRACT Real‐time insight into local chemistry is critical for reliable part quality in additive manufacturing, especially laser powder bed fusion (PBF‑LB/M), where rapid thermal cycles and localized evaporation can undermine part performance. Optical emission spectroscopy (OES) offers non‑intrusive, in situ plume monitoring, but detection geometry ...
Philipp Gabriel   +4 more
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

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