Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…<h3>Background</h3><p dir="ltr">Biological networks contribute effectively to unveil the complex structure of molecular interactions and to discover driver genes especially in cancer context. …”

A Study on Social Network Analysis: case study of UAE expats relationship to their home country through social media interactions by WARRAK, REEM

“…This paper is studying the influence of social media and displaying the significant role social media data is currently playing for benefit of both research & business context. …”
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Influence of Reaction Time in the Emotional Response of a Companion Robot to a Child’s Aggressive Interaction by Ahmad Yaser Alhaddad (7017434)

Studying Dynamics of Multi-Agent Learning in Networks by SADLAH, SIMA IBRAHIM ABDEL KARIM

“…The result of the study showed that different parameters used in a network for example, (size of the network, time and interaction period between agents) have significant effect on the behavior of the artificial network. …”
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Kinship recognition from faces using deep learning with imbalanced data by Hadid, Abdenour

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Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides by Mansuck Kim (19570903)

“…Through our RNA-seq data analysis, we have shown that a network-based approach can enhance our understanding of the complicated host-pathogen interactions between maize and F. verticillioides by interpreting the transcriptome data in a system-oriented manner. …”

Measuring user interactions with websites: A comparison of two industry standard analytics approaches using data of 86 websites by Bernard J. Jansen (7434779)

Unique superdiffusion induced by directionality in multiplex networks by Tejedor, Alejandro

“…We further provide a formulation of multilayer networks displaying superdiffusion. Our results highlight the significance of incorporating the interacting directionality in multilevel networked systems and provide a framework to…”
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Dual-attention Network for View-invariant Action Recognition by Gedamu Alemu Kumie (19273711)

“…Therefore, we propose a Dual-Attention Network (DANet) aims to learn robust video representation for view-invariant action recognition. …”

Using Social Network Analysis to Study Business Partnerships by KARIM, ROLA RASHAD ARIF ABDUL

“…Network analysis also significantly contributes to the biomedical sector in analysing protein networks and interactions. …”
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Efficient experimental design for uncertainty reduction in gene regulatory networks by Roozbeh Dehghannasiri (5725805)

“…Gene regulatory networks often contain a significant amount of uncertainty. …”

Machine Learning Techniques for Pharmaceutical Bioinformatics by SULTAN, AHMED ATTA AHMED

“…This dissertation presents a novel drug classifier to automate the prediction of drug indication and drug interactions with other drugs. The study integrates knowledge visualization, analysis, as well as development of a predictive model based on the Drug-Drug Interactions (DDIs) as a complex network. …”
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Performance Analysis of Artificial Neural Networks in Forecasting Financial Time Series by Lasfer, Assia

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Cytokine-chemokine network driven metastasis in esophageal cancer; promising avenue for targeted therapy by Ajaz A. Bhat (12984701)

“…The tumor microenvironment (TME) contains several cell types, including fibroblasts, immune cells, adipocytes, stromal proteins, and growth factors, which play a significant role in supporting the growth and aggressive behavior of cancer cells. …”

Long Term Weight Loss Diets and Obesity Indices: Results of a Network Meta-Analysis by Jabbour, Jana

“…WC was lower with all diets compared to UD, with no significant difference across specific diets. There was no significant interaction of the results with the pre-specified sub-groups. …”
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Emotion Recognition Based on Fusion of Local Cortical Activations and Dynamic Functional Networks Connectivity: An EEG Study by Yahya, Fares

“…The results clearly demonstrate the advantage of fusion of cortical activations with dynamic functional networks for developing human-computer interaction system in real-world applications.…”
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Analysis of the Capacitor-Less D-STATCOM for Voltage Profile Improvement in Distribution Network With High PV Penetration by Wesam Rohouma (16904871)

“…The contribution of this paper is a detailed analysis and impact study of the capacitor-less D-STATCOM in high PV penetration distribution networks. The significance of this paper is that it studies the behavior of the power electronics converter and its interaction with the power systems without assuming or neglecting details of either. …”

A Deep Learning Approach for Real-Time Analysis of Attendees’ Engagement in Public Events by Samuel Mathew, Sujith

“…In recent years, facial sentiment analysis attracted significant attention for different application areas, including marketing, gaming, political analytics, healthcare, and human computer interaction. …”
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A Deep Neural Network Chatbot for the Gulf Arabic Dialect: A Hybrid BiLSTM-Transformer Approach by ALAZZAM, BAYAN AHMAD

“…First, we employ Bidirectional Long Short-Term Memory (BiLSTM) networks for text generation, leveraging their ability to grasp contextual information and model long-term dependencies. …”
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An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach by MAGHAYDAH, SAFWAN SULEIMAN MGHIED

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