All Outputs (400)

Thermal performance evaluation and energy saving potential of semi-transparent CdTe in Façade BIPV (2021)
Journal Article
Alrashidi, H., Issa, W., Sellami, N., Sundaram, S., & Mallick, T. (2022). Thermal performance evaluation and energy saving potential of semi-transparent CdTe in Façade BIPV. Solar Energy, 232, 84-91. https://doi.org/10.1016/j.solener.2021.12.037

Semi-transparent PV glazing are promising in Building Integrated Photovoltaic (BIPV) applications. They provide daylight control, energy saving and power generation. The selection of optimal Photovoltaic (PV) glazing requires the accounting for vario... Read More about Thermal performance evaluation and energy saving potential of semi-transparent CdTe in Façade BIPV.

Recent Advances in Nature-Inspired Solutions for Ground Engineering (NiSE) (2021)
Journal Article
Assadi-Langroudi, A., O’Kelly, B. C., Barreto, D., Cotecchia, F., Dicks, H., Ekinci, A., …van Paassen, L. (2022). Recent Advances in Nature-Inspired Solutions for Ground Engineering (NiSE). International Journal of Geosynthetics and Ground Engineering

The ground is a natural grand system; it is composed of myriad constituents that aggregate to form several geologic and biogenic systems. These systems operate independently and interplay harmoniously via important networked structures over multiple... Read More about Recent Advances in Nature-Inspired Solutions for Ground Engineering (NiSE).

Guest Editorial: Special Issue on "Advance in Mobile Edge Computing" (2021)
Journal Article
Yang, X., Tan, Z., & Xu, Y. (2021). Guest Editorial: Special Issue on "Advance in Mobile Edge Computing". Journal of Internet Technology, 22(5),

Cloud computing has a problem for communication-intensive applications, which need to meet the delay requirements. The problem becomes more intense with the huge application of the Internet of Things. Mobile Edge Computing processes data at the neare... Read More about Guest Editorial: Special Issue on "Advance in Mobile Edge Computing".

Seismic behavior of non seismically designed eccentric reinforced concrete beam column joints (2021)
Journal Article
Liu, Y., Wong, S. H., Zhang, H., Kuang, J. S., Lee, P., & Kwong, W. (2021). Seismic behavior of non seismically designed eccentric reinforced concrete beam column joints. Earthquakes and Structures, An International Journal, 21(6), 613-625. https://doi.or

Non seismically designed eccentric reinforced concrete beam column joints were extensively used in existing reinforced concrete frame buildings, which were found to be vulnerable to seismic action in many incidences. To provide a fundamental understa... Read More about Seismic behavior of non seismically designed eccentric reinforced concrete beam column joints.

Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research (2021)
Journal Article
Demeke, W., & Ryan, B. (2021). Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research. University of Dar es Salaam Library Journal, 16(2), 105-118

In this paper under-researched methodological issues in information systems research of multilingual interview data collection and translation using translators explored. Observations field notes were collected during the study of the role of ICT for... Read More about Lost in translation: Qualitative data collecting and translating challenges in multilingual settings in information systems research.

Employing CdS nanoparticles as an adsorbent for the removal of different dosages of hexavalent Cr (VI) from aqueous solution (2021)
Journal Article
Velusamy, S., Roy, A., Sundaram, S., & Mallick, T. K. (2022). Employing CdS nanoparticles as an adsorbent for the removal of different dosages of hexavalent Cr (VI) from aqueous solution. Materials Letters, 311, Article 131602. https://doi.org/10.1016/j.m

The discharge of chromium effluent from various industries becomes a severe threat to the environment, creating a risk to human health and environmental aspects. In this study, Cr (VI) removal from aqueous solution by adsorption was investigated usin... Read More about Employing CdS nanoparticles as an adsorbent for the removal of different dosages of hexavalent Cr (VI) from aqueous solution.

An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques (2021)
Journal Article
Kaur, I., Doja, M. N., Ahmad, T., Ahmad, M., Hussain, A., Nadeem, A., & Abd El-Latif, A. A. (2021). An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques. Computational Intelligence and Neuroscience, 2021, Article 6342226. h

Ovarian cancer is the third most common gynecologic cancers worldwide. Advanced ovarian cancer patients bear a significant mortality rate. Survival estimation is essential for clinicians and patients to understand better and tolerate future outcomes.... Read More about An Integrated Approach for Cancer Survival Prediction Using Data Mining Techniques.

Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks (2021)
Journal Article
Liu, Q., Zhang, J., Liu, X., Zhang, Y., Xu, X., Khosravi, M., & Bilal, M. (2022). Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks. Physical Communication, 51, Article 101584. https://doi.org/10.1016

The intensification of the greenhouse effect is driving the implementation of energy saving and emission reduction policies, which lead to a wide variety of energy saving solutions benefiting from the advancement of emerging technologies such as Wire... Read More about Improving wireless indoor non-intrusive load disaggregation using attention-based deep learning networks.

Evidence for Magnetic Fractional Excitations in a Kitaev Quantum-Spin-Liquid Candidate α-RuCl3 (2021)
Journal Article
Ran, K., Wang, J., Song, B., Cai, Z., Shangguan, Y., Ma, Z., Wang, W., Dong, Z., Cermák, P., Schneidewind, A., Meng, S., Lu, Z., Yu, S., Li, J., & Wen, J. (2022). Evidence for Magnetic Fractional Excitations in a Kitaev Quantum-Spin-Liquid Candidate α-R

It is known that α-RuCl3 has been studied extensively because of its proximity to the Kitaev quantum-spin-liquid (QSL) phase and the possibility of approaching it by tuning the competing interactions. Here we present the first polarized inelastic neu... Read More about Evidence for Magnetic Fractional Excitations in a Kitaev Quantum-Spin-Liquid Candidate α-RuCl3.

Thermophysical properties of Nano-enhanced phase change materials for domestic heating applications (2021)
Journal Article
D'Oliveira, E. J., Pereira, S. C. C., Groulx, D., & Azimov, U. (2022). Thermophysical properties of Nano-enhanced phase change materials for domestic heating applications. Journal of Energy Storage, 46, Article 103794. https://doi.org/10.1016/j.est.2021.1

A major problem worldwide is the increase in global energy consumption due to the drastic growth in population and requirements to meet human thermal comfort. The residential sector is one of the biggest energy consumers, and the most significant sha... Read More about Thermophysical properties of Nano-enhanced phase change materials for domestic heating applications.

A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls (2021)
Journal Article
Varone, G., Boulila, W., Lo Giudice, M., Benjdira, B., Mammone, N., Ieracitano, C., …Aguglia, U. (2022). A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls

Until now, clinicians are not able to evaluate the Psychogenic Non-Epileptic Seizures (PNES) from the rest-electroencephalography (EEG) readout. No EEG marker can help differentiate PNES cases from healthy subjects. In this paper, we have investigate... Read More about A Machine Learning Approach Involving Functional Connectivity Features to Classify Rest-EEG Psychogenic Non-Epileptic Seizures from Healthy Controls.

A framework for differentially-private knowledge graph embeddings (2021)
Journal Article
Han, X., Dell’Aglio, D., Grubenmann, T., Cheng, R., & Bernstein, A. (2022). A framework for differentially-private knowledge graph embeddings. Journal of Web Semantics, 72, Article 100696. https://doi.org/10.1016/j.websem.2021.100696

Knowledge graph (KG) embedding methods are at the basis of many KG-based data mining tasks, such as link prediction and node clustering. However, graphs may contain confidential information about people or organizations, which may be leaked via embed... Read More about A framework for differentially-private knowledge graph embeddings.

Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems (2021)
Journal Article
Tang, X., Zhou, Y., Zou, Y., & Zhang, Q. (2022). Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems. Entropy, 24(1), Article 25. https://doi.org/10.3390/e24010025

This paper investigates the randomness assignment problem for a class of continuous-time stochastic nonlinear systems, where variance and entropy are employed to describe the investigated systems. In particular, the system model is formulated by a st... Read More about Variance and Entropy Assignment for Continuous-Time Stochastic Nonlinear Systems.

Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation (2021)
Journal Article
Bendiek, P., Taha, A., Abbasi, Q. H., & Barakat, B. (2022). Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation. Applied Sciences, 12(1), Article 134. https://doi.org/10.3390/app12010134

Solar forecasting plays a key part in the renewable energy transition. Major challenges, related to load balancing and grid stability, emerge when a high percentage of energy is provided by renewables. These can be tackled by new energy management st... Read More about Solar Irradiance Forecasting Using a Data-Driven Algorithm and Contextual Optimisation.

Promoting the Solar Industry in Ghana through Effective Public-Private Partnership (PPP): Some Lessons from South Africa and Morocco (2021)
Journal Article
Amo Awuku, S., Bennadji, A., Muhammad Sukki, F., & Sellami, N. (2022). Promoting the Solar Industry in Ghana through Effective Public-Private Partnership (PPP): Some Lessons from South Africa and Morocco. Energies, 15(1), Article 17. https://doi.org/10.33

Over the past decades, solar energy has gained much attention in Ghana, especially after the 2012–2016 power crisis. The government through Public-Private Partnerships (PPPs) has attempted to increase the shares of solar generation to augment its eff... Read More about Promoting the Solar Industry in Ghana through Effective Public-Private Partnership (PPP): Some Lessons from South Africa and Morocco.

Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control (2021)
Journal Article
Tang, Z., Yu, H., Yang, H., Zhang, L., & Zhang, L. (2022). Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control. Computers in Biology and Medicine, 141, Article 105156. https://doi.org/10.1016/j.com

Most studies on estimating user's joint angles to control upper-limb exoskeleton have focused on using surface electromyogram (sEMG) signals. However, the variations in limb velocity and acceleration can affect the sEMG data and decrease the angle es... Read More about Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control.

Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism (2021)
Journal Article
Wang, Y., Li, Z., Wang, X., Yu, H., Liao, W., & Arifoglu, D. (2021). Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism. Machines, 9(12), Article 367. https://doi.org/10.33

To date, several alterations in the gait pattern can be treated through rehabilitative approaches and robot assisted therapy (RAT). Gait data and gait trajectories are essential in specific exoskeleton control strategies. Nevertheless, the scarcity o... Read More about Human Gait Data Augmentation and Trajectory Prediction for Lower-Limb Rehabilitation Robot Control Using GANs and Attention Mechanism.

An Eigendecomposition-based and Mesh-sensitivity Reduced Constitutive Model for Nonlinear Analysis of Concrete Structures under Non-proportional Cyclic Loading (2021)
Journal Article
Yuen, T. Y., Wen, T., Hung, C., Zhang, H., Huy Pham, P. A., & Deng, Y. (2022). An Eigendecomposition-based and Mesh-sensitivity Reduced Constitutive Model for Nonlinear Analysis of Concrete Structures under Non-proportional Cyclic Loading. Journal of Buil

Emerging 3D printed concrete techniques has raised numerous possibilities in contemporary architectural creations that are often beyond the scope of prevailing structural design standards. Rigorous, three-dimensional, and nonlinear finite element ana... Read More about An Eigendecomposition-based and Mesh-sensitivity Reduced Constitutive Model for Nonlinear Analysis of Concrete Structures under Non-proportional Cyclic Loading.

Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning (2021)
Journal Article
Parra-Ullauri, J. M., Garcoa-Dominguez, A., Bencomo, N., Zheng, C., Zhen, C., Boubeta-Puig, J., …Yang, S. (2022). Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning. Software and Systems Modeling, 21, 1091-1113. ht

Modern software systems are increasingly expected to show higher degrees of autonomy and self-management to cope with uncertain and diverse situations. As a consequence, autonomous systems can exhibit unexpected and surprising behaviours. This is... Read More about Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning.

Embodied Energy and Cost Assessments of a Concentrating Photovoltaic Module (2021)
Journal Article
Freier Raine, D., Muhammad-Sukki, F., Ramirez-Iniguez, R., Ardila-Rey, J. A., Jafry, T., & Gamio, C. (2021). Embodied Energy and Cost Assessments of a Concentrating Photovoltaic Module. Sustainability, 13(24), Article 13916. https://doi.org/10.3390/su1324

This paper focuses on the embodied energy and cost assessments of a static concentrating photovoltaic (CPV) module in comparison to the flat photovoltaic (PV) module. The CPV module employs a specific concentrator design from the Genetically Optimise... Read More about Embodied Energy and Cost Assessments of a Concentrating Photovoltaic Module.