Selecting correct methods to extract fuzzy rules from artificial neural network by Tan, Xiao, Zhou, Yuan, Ding, Zuohua, Liu, Yang

“…Artificial neural network (ANN) inherently cannot explain in a comprehensible form how a given decision or output is generated, which limits its extensive use. …”
Get full text

Design of wideband low-loss reconfigurable reflectarray antenna by Zhang, Xiran

“…It proposes an RRA design that integrates a PIN diode with air gap. The switch of the reconfigurable unit is directly mounted on the reflective element, reducing the loss introduced by the switching device. …”
Get full text

Development of optical transceiver by Sim, Sebastian Shih Wei.

“…For PIN photodiodes, the epitaxial layer was introduced to the structures to act as an intrinsic layer. …”
Get full text

Genetic algorithm LQG and neural network controllers for gust response alleviation of flying wing unmanned aerial vehicles by Ang, Elijah Hao Wei, Ng, Bing Feng

“…In this paper, a genetic algorithm linear quadratic Gaussian controller (GA-LQG) and an artificial neural network (ANN) controller are implemented for gust response alleviation of lightweight flying wings undergoing body-freedom oscillations. …”
Get full text

Optimized core design of a supercritical carbon dioxide-cooled fast reactor by Handwerk, Christopher S. (Christopher Stanley), 1974-

Get full text
Get full text

Hybrid finite element and machine learning approach for covered linkway sheltering factor assessment by Tok, Wei Sheng

“…An Artificial Neural Network (ANN) model is implemented to predict penetration outcomes of UAV impacts, while an ANN-Convolutional Neural Network (CNN) model is used to predict FEA deformation images resulting from these impacts. …”
Get full text

Future reservoir performance projection using integrated models in the framework of climate change by Hamidon, Nuramidah

Get full text

Investigation of logarithmic signatures for feature extraction and application to marine engine fault diagnosis by Patil, C, Theotokatos, G, Wu, Y, Lyons, T

“…A parametric study is performed to quantify the logS number impact on the ANN regression models accuracy and training time. …”

Automatic test chip set by Chin, Edward Hsi Ling.

“…In this project, the fundamental functions and basic circuitry of an universal pin electronics are investigated and designed.…”
Get full text

A 1-bit 16×16 reconfigurable intelligent surfaces array for C-band by Zhang, Yucheng

“…RIS array is achieved by combining a number of basic elements together with PIN diodes which control the on and off state of RIS units. …”
Get full text

Behind every domain there is a shift: adapting distortion-aware vision transformers for panoramic semantic segmentation by Zhang, J, Yang, K, Shi, H, ReiB, S, Peng, K, Ma, C, Fu, H, Torr, PHS, Wang, K, Stiefelhagen, R

“…Third, aside from Pinhole-to-Panoramic ( Pin2Pan ) adaptation, we create a new dataset (SynPASS) with 9,080 panoramic images, facilitating Synthetic-to-Real ( Syn2Real ) adaptation scheme in 360∘ imagery. …”

Experimental studies of melting PCM in a heat sink by Muhammad Azrin Sa'ad.

“…The heat sink design that was the focus of this study is based on the pin finned heat sink design. Experiments mainly pertaining to the characteristics of the melting PCM in the heat sinks were observed and recorded to further understand the behaviours and characteristics of the melting PCM. …”
Get full text

Controlling the Porosity and Microarchitecture of Hydrogels for Tissue Engineering by Annabi, Nasim, Nichol, Jason W., Zong, Xia, Ji, Chengdong, Koshy, Sandeep Tharian, Khademhosseini, Ali, Dehghani, Fariba

Get full text
Get full text

Event detection in spatiotemporal soccer data using neural networks by Wilbert

“…This project implements and evaluates three-layer and four-layer artificial neural networks (ANN(3) and ANN(4)) as well as recurrent neural networks (RNNs) for automatic event detection in spatiotemporal soccer data. …”
Get full text

Physics-guided neural network for tissue optical properties estimation by Chong, Kian Chee, Pramanik, Manojit

“…In this work, we proposed a physics-guided neural network (PGNN) for tissue optical properties regression which integrates physics prior and constraint into the artificial neural network (ANN) model. With this method, we have demonstrated superior generalizability of PGNN compared to its pure ANN counterpart. …”
Get full text

Commodity price prediction using neural networks by Seah, Isaac Zhe Hao

“…Two different models of Artificial Neural Network(ANN), namely Backpropagation(BP) model and Radial Basis Function(RBF) model, are constructed and evaluated. …”
Get full text

Attributed graph-based representations for software view generation and impact-of-change analysis / by 193579 Ratib Al-Zoubi, author

Hybrid biometric authentication for automatic teller machine by Arokiasamy, Steven R., Tomal, Md Raihanul Islam, Moorthy, Kohbalan, Mohd Daud, Kauthar

“…Unlike traditional password or PIN-based methods, biometric authentication uses unique physical characteristics, such as fingerprints, to verify identity. …”
Get full text

Examining IoT-based smart campus adoption model: an investigation using two-stage analysis comprising structural equation modelling and artificial neural network by Sneesl, Radhwan, Jusoh, Yusmadi Yah, A. Jabar, Marzanah, Abdullah, Salfarina

“…In particular, the model demonstrates satisfactory predictive relevance, indicating its effectiveness in making accurate predictions or forecasts. The ANN analysis suggests that the model has predictive capabilities. …”
Get full text

Assessment of IoT-driven predictive maintenance strategies for Computed Tomography equipment: a machine learning approach by Mohd Azrul Shazril, Mohammad Habib Shah Ershad, Mashohor, Syamsiah, Amran, Mohd Effendi, Hafiz, Nur Fatinah, Ali, Azizi Mohd, Naseri, Mohd Saiful, Rasid, Mohd Fadlee A.

“…The ANN model achieved an impressive prediction accuracy of 97.58%, proving its relibility in forecasting breakdowns. …”
Get full text