Results 81 to 90 of about 342,941 (283)

Image Processing for Denoising Using Composite Adaptive Filtering Methods Based on RMSE

Open Journal of Applied Sciences
Yanlu Chen, Ruijie Wang, Puming Zong, Da Chen   +3 more
exaly   +2 more sources

Smart and Sustainable Sizing: Investigating the Sensing Behavior of Glass Fabrics Coated With Waterborne Polyurethane/Graphene Dispersions

Advanced Materials Technologies, EarlyView.
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai, Premika Govindaraj, Sai Aditya Pradeep, Olivia Sequerth, Srikanth Pilla, Franz Konstantin Fuss, Peter Kingshott, Nishar Hameed, Nisa V Salim   +8 more
wiley   +1 more source

Hyperparameter Optimization of Random Forest Algorithm to Enhance Performance Metric Evaluation of 5G Coverage Prediction

Buletin Pos dan Telekomunikasi: Media Komunikasi Ilmiah
Utilizing of 5G technology has become a major focus in the development of more advanced and efficient telecommunications networks. In this context, 5G coverage prediction becomes an important aspect in network planning to ensure optimal user experience ...
Hajiar Yuliana, Iskandar, Hendrawan, Sofyan Basuki, M. Reza Hidayat, Atik Charisma, Hurianti Vidyaningtyas   +6 more
doaj   +1 more source

Multi-time-horizon Solar Forecasting Using Recurrent Neural Network

, 2018
The non-stationarity characteristic of the solar power renders traditional point forecasting methods to be less useful due to large prediction errors.
Mishra, Sakshi, Palanisamy, Praveen
core   +1 more source

Flow‐Adaptive Gas Sensing Enabled Using a Uniform Au Nanosheet Sensor Array and a Neural Network Inference

Advanced Materials Technologies, EarlyView.
Integrated Au nanosheet sensor array enables simultaneous inference of gas concentration and flow rate via deep neural network analysis, without external flow control. ABSTRACT Gas sensor responses are considerably affected by gas flow rates, thereby inhibiting the accurate detection of target gas concentrations in variable‐flow applications such as ...
Taro Kato, Takahisa Tanaka, Yusuke Hamanaka, Ryo Toyoshima, Ken Uchida   +4 more
wiley   +1 more source

NH4 Modelling with ARIMA and LSTM

Jurnal Ilmu Lingkungan
AI-Mining is a prototype designed to detect various environmental gases, including CO2, NH3, NH4, and hydrogen, alongside temperature, pressure, and humidity.
Hanna Arini Parhusip, Suryasatriya Trihandaru, Johanes Dian Kurniawan   +2 more
doaj   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
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, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Personalized product recommendation system for e-commerce platforms [PDF]

ITM Web of Conferences
Due to rapid growth in e-commerce, the interest for customized product recommendation systems has grown a lot with high demands for effective models. The attempt is made to explore the development and evaluation of a personalized product recommendation ...
Sameena Shaik, Javali Guntupalli, Srilakshmi Nelavelli, Jhansi Mandadapu, Sk Sajida Sultana   +4 more
doaj   +1 more source

Attack RMSE Leaderboard: An Introduction and Case Study

, 2018
In this manuscript, we briefly introduce several tricks to climb the leaderboards which use RMSE for evaluation without exploiting any training data.
openaire   +2 more sources

Ultrafast (1‐5 sec) Lamination of Perovskite Solar Cells With Self‐Encapsulation Using Rapid Joule Heating

Advanced Materials Technologies, EarlyView.
Halide perovskite solar cells are fabricated with self‐encapsulation by lamination between two glass substrates using rapid Joule heating, yielding a 99% reduction in lamination time compared to previous studies. An 18% efficient cell is laminated in 5 s, demonstrating the potential for scalable manufacturing. ABSTRACT Perovskite solar cells (PSCs) are
Oluka Okia, Md Aslam Uddin, Tianhan Gao, Zhihang Zhang, Vaishnav Madhava Das, Clare L. Lanaghan, Alexandra C. Hurd, Wei Lu, David P. Fenning, Neil P. Dasgupta   +9 more
wiley   +1 more source