Results 41 to 50 of about 344,906 (305)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

DEVELOPMENT OF SENSOR SYSTEM FOR MONITORING AND CONTROL OF QUANTITATIVE FREEZING FOR OVERHEAD LINES POWER

Известия высших учебных заведений: Проблемы энергетики, 2017
Currently, the acute problem of timely inspection of overhead power lines. At the same time, one of the main tasks is to monitor freezing to overhead power lines.
D. A. Yaroslavskiy, M. F. Sadykov
doaj   +1 more source

Universal Neuromorphic Element: NbOx Memristor with Co‐Existing Volatile, Non‐Volatile, and Threshold Switching

Advanced Functional Materials, EarlyView.
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

A Comprehensive Experimental Comparison of Event Driven and Multi-Threaded Sensor Node Operating Systems [PDF]

, 2007
The capabilities of a sensor network are strongly influenced by the operating system used on the sensor nodes. In general, two different sensor network operating system types are currently considered: event driven and multi-threaded.
Duffy, Cormac, Herbert, John, Roedig, Utz, Sreenan, Cormac J.   +3 more
core   +6 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Seasonal variation of transmission line outages in Peninsular Malaysia [PDF]

, 2017
Researchers have observed the impact of climate changes on overhead line outages. It is known that overhead lines are very prone to lightning strikes due to their height and location which are normally in an open and exposed area.
Ab Kadir, Mohd Zainal Abidin, Izadi, Mahdi, Mohamed Rawi, Iryani   +2 more
core  

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

ВИЗНАЧЕННЯ ЗАРЯДНОЇ ЄМНОСТІ ПОВІТРЯНИХ ЛІНІЙ ЕЛЕКТРОПЕРЕДАЧІ З УРАХУВАННЯМ ПРОВИСАННЯ ПРОВОДУ

Праці Інституту електродинаміки Національної академії наук України
The paper presents the results of studying the effect of wire sagging on the charging capacity of an overhead power line. A refined mathematical model of the overhead line charging capacity is obtained. The results of the study of the error of neglect of
Т.Л. Кацадзе, В.А. Баженов, К.М. Новіков, А.Д. Ніколаєва, О.М. Панєнко   +4 more
doaj   +1 more source

Methodology of monitoring ice on wires with considering misalignment of power line armature

Известия высших учебных заведений: Проблемы энергетики, 2017
One of the most serious causes of accidents in high-power electric power systems is the formation of ice on the wires of high-voltage transmission lines (HVL).
D. A. Yaroslavskiy, M. F. Sadykov, A. B. Konov, D. A. Ivanov, M. P. Goryachev, T. G. Yambaeva   +5 more
doaj   +1 more source