Prediction of indoor environmental parameters for naturally ventilated building using artificial neural network: a reflection of outdoor parameters by Ghazali, Suraya

“…Results from the research show that twelve ANN models with the best structure were successfully developed to forecast indoor temperature, humidity and velocity. …”
Get full text
Get full text

Evaluation of quality of service in fourth generation wireless and mobile networks by Ghadeer, Sabah Hassan

“…The method uses a fuzzy logic (FL), artificial neural network (ANN) and Adaptive Neuro-fuzzy Interference System (ANFIS) to evaluate and predict the performance QoS of networks. …”
Get full text
Get full text
Get full text

The interplay effects of digital technologies, green integration, and green innovation on food supply chain sustainable performance: an organizational information processing theory... by Yadav, Sanjeev, Samadhiya, Ashutosh, Kumar, Anil, Luthra, Sunil, Kumar, Vikas, Garza-Reyes, Jose Arturo, Upadhyay, Arvind

“…A combined approach of structural equation modelling (SEM) and artificial neural network (ANN) was used to examine the collected responses from different related industries and validate the robustness of the proposed hypothesis through ANN. …”
Get full text

Data pre-processing for cardiovascular disease classification: A systematic literature review by Irfan Javid, Irfan Javid, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

“…Some hybrid models including (ANN+CHI), (ANN+PCA), (DNN+CHI) and (SVM+PCA) have shown improved accuracy level. …”
Get full text

Data pre-processing for cardiovascular disease classification: A systematic literature review by Irfan Javid, Irfan Javid, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

“…Some hybrid models including (ANN+CHI), (ANN+PCA), (DNN+CHI) and (SVM+PCA) have shown improved accuracy level. …”
Get full text

Artificial neural network model for predicting windstorm intensity and the potential damages by Bachok, Mohd. Fairuz

Get full text

Irish perspectives on British education. National conference event details by Irish in Britain Representation Group, IBRG

“…Seminar speakers included: Catríona Ní Scannláin, Brian Foster, Ann Rossiter, Mike Carroll, Brigid Loughran, Maude Casey, Alan Clinton, and Siobhán Ui Néill.…”
Get full text
Get full text

Degradation of cephalexin toxicity in non-clinical environment using zinc oxide nanoparticles synthesized in Momordica charantia extract; Numerical prediction models and deep learn... by Adel Ali Al-Gheethi, Adel Ali Al-Gheethi, Rubashini A.P. Alagamalai, Rubashini A.P. Alagamalai, Efaq Ali Noman, Efaq Ali Noman, Radin Mohamed, Radin Maya Saphira, Ravi Naidu, Ravi Naidu

“…MCZnO NPs have a white colour, spherical shape, non-agglomerated, smooth surface and size-wise they ranged from 50 to 100 nm. The ANN results indicated that 88.87% of CFX was degraded using 50 mg/L of MCZnO NP, 40 mg/L of CFX, at pH 9, and after 180 min. …”
Get full text

Degradation of cephalexin toxicity in non-clinical environment using zinc oxide nanoparticles synthesized in Momordica charantia extract; Numerical prediction models and deep learn... by Adel Ali Al-Gheethi, Adel Ali Al-Gheethi, Rubashini A.P. Alagamalai, Rubashini A.P. Alagamalai, Efaq Ali Noman, Efaq Ali Noman, Radin Mohamed, Radin Maya Saphira, Ravi Naidu, Ravi Naidu

“…MCZnO NPs have a white colour, spherical shape, non-agglomerated, smooth surface and size-wise they ranged from 50 to 100 nm. The ANN results indicated that 88.87% of CFX was degraded using 50 mg/L of MCZnO NP, 40 mg/L of CFX, at pH 9, and after 180 min. …”
Get full text

Irish perspectives on British education: a national conference by Irish in Britain Representation Group, IBRG

“…Seminar speakers included: Catríona Ní Scannláin, Brian Foster, Ann Rossiter, Irish Youth, Brigid Loughran, Maude Casey, Alan Clinton, and Siobhán Ui Néill.…”
Get full text
Get full text

Tree-induced deformation in unsaturated soils by Mohammed Abdullahi, Mu’azu

Get full text

Microbial community profiling of arsenic-rich mine tailing and arsenic bioadsorption by indigenous bacteria. by Al-Towayti, Wahid Ali Hamood

Get full text

Water quality modeling using artificial neural networks incorporating land use and sewage treatment plant factors by Ariani Dwi Astuti

Get full text

Navigating the neoliberal discursive environment: an inquiry into the experiences of employees in the voluntary and community sector by Choudary, Natasha

“…However, there has been less focus on how these changes affect the experiences of those operating at the sharp-end: the front-line employees. …”
Get full text

Textile wastewater treatment using magnetic powder activated carbon biogranules by Omar@Omri, Ahmad Hanis

Get full text

Machine learning applications for the topology prediction of transmembrane beta-barrel proteins by Grimaldi, Cédric Maxime

“…This research presents and evaluates approaches such as ANN (Artificial Neural Networks), KNN (K-Nearest Neighbors, SVM (Support Vector Machines), and a novel approach to TMB topology prediction with the use of a cascading classifier. …”
Get full text

Knowledge enhanced framework for the design and development of e-workflow systems by Ndeta, John

“…This new knowledge perspective has two main roles: monitoring the changes that are happening in the traditional workflow modelling perspectives and reflect the changes on the c-busincss processes, and enrich the framework with a knowledge repository. …”
Get full text

Exercise induced pain and damage in human skeletal muscle by Newham, Dianne Jane

“…Damage was assessed by studying changes in isometric force generation, muscle enzyme loss, morphological changes and the patterns of radioisotope uptake. …”
Get full text

The impact of COVID-19 on tourism sector in India by Jaipuria, Sanjita, Parida, Ratri, Ray, Pritee

“…As there has been a substantial decline in the arrivals of overseas tourists in India in 2020, the paper aims to predict foreign tourists’ arrival in India and FEE using artificial neural networks (ANN). Furthermore, we analyse the impact of COVID-19 based on four scenarios considering with and without lockdown in terms of loss and gain in FEE. …”
Get full text

Diagnosis, classification and prognosis of rotating machine using artificial intelligence by Mahamad, Abd Kadir

“…For fault prognosis systems, the acoustic emission and vibration signals were used as input signals. Furthermore, ANN was used as prognosis systems of rotating machinery failure. …”
Get full text