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Greening energy supply in the light of SDGs and Covid-19

Handayani, K Filatova, T

The Paris Agreement calls for universal action to tackle climate change. Accordingly, countries have laid out their climate mitigation pledges and strategies on their Nationally Determined Contribu...

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Synergistic interaction and biochar improvement over co-torrefaction of intermediate waste epoxy resins and fir

Chen, CY Chen, WH Lim, S Ong, HC Ubando, AT

This study investigated the synergistic effect of co-torrefaction with intermediate waste epoxy resins and fir in a batch-type reactor towards biochar improvement. The synergistic effect ratio was ...

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Progress on Modified Calcium Oxide Derived Waste-Shell Catalysts for Biodiesel Production

Ooi, HK Koh, XN Ong, HC Lee, HV Mastuli, MS Taufiq-Yap, YH Alharthi, FA Alghamdi, AA Mijan, NA

The dwindling of global petroleum deposits and worsening environmental issues have triggered researchers to find an alternative energy such as biodiesel. Biodiesel can be produced via transesterifi...

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Progress in biomass torrefaction: Principles, applications and challenges

Chen, W-H Lin, B-J Lin, Y-Y Chu, Y-S Ubando, AT Show, PL Ong, HC Chang, J-S Ho, S-H Culaba, AB Pétrissans, A Pétrissans, M

The development of biofuels has been considered as an important countermeasure to abate anthropogenic CO2 emissions, suppress deteriorated atmospheric greenhouse effect, and mitigate global warming...

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Optimization of fuel injection parameters of moringa oleifera biodiesel-diesel blend for engine-out-responses improvements

Teoh, YH How, HG Sher, F Le, TD Ong, HC Nguyen, HT Yaqoob, H

Biodiesel has gained popularity in diesel engines as a result of the rapid decline of fossil fuels and population growth. The processing of biodiesel from non-edible Moringa Oleifera was investigat...

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Where does theory have it right? A comparison of theory-driven and empirical agent based models

Taghikhah, F Filatova, T Voinov, A

Computational social science has witnessed a shift from pure theoretical to empirical agent-based models (ABMs) grounded in data-driven correlations between behavioral factors defining agents’ deci...

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Review article: Towards a context-driven research: A state-of-the-art review of resilience research on climate change

Ossewaarde, R Filatova, T Georgiadou, Y Hartmann, A Ozerol, G Pfeffer, K Stegmaier, P Torenvlied, R Van Der Voort, M Warmink, J Borsje, B

The twofold aim of this paper is to provide an overview of the current state of resilience research with regard to climate change in the social sciences and propose a research agenda. Resilience re...

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PrismatoidPatNet54: An Accurate ECG Signal Classification Model Using Prismatoid Pattern-Based Learning Architecture

Kobat, MA Karaca, O Barua, PD Dogan, S

Background and objective: Arrhythmia is a widely seen cardiologic ailment worldwide, and is diagnosed using electrocardiogram (ECG) signals. The ECG signals can be translated manually by human expe...

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Multi-Scale Convolutional Neural Network for Accurate Corneal Segmentation in Early Detection of Fungal Keratitis.

Mayya, V Kamath Shevgoor, S Kulkarni, U Hazarika, M Barua, PD Acharya, UR

Microbial keratitis is an infection of the cornea of the eye that is commonly caused by prolonged contact lens wear, corneal trauma, pre-existing systemic disorders and other ocular surface disorde...

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Multilevel Deep Feature Generation Framework for Automated Detection of Retinal Abnormalities Using OCT Images.

Barua, PD Chan, WY Dogan, S Baygin, M Tuncer, T Ciaccio, EJ Islam, N Cheong, KH Shahid, ZS Acharya, UR

Optical coherence tomography (OCT) images coupled with many learning techniques have been developed to diagnose retinal disorders. This work aims to develop a novel framework for extracting deep fe...

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