NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY by JINESH, PADIKKAPPARAMBIL

“…In this respect, Ambient Assisted Living (AAL) is a comparatively new information and communication technology (ICT) that delivers services. …”
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Noise2Weight: On detecting payload weight from drones acoustic emissions by Omar Adel Ibrahim (18394779)

“…All the data used for our analysis have been released as open-source, to enable the community to validate our findings and use such data as a ready-to-use basis for further investigations.…”

Evaluating the authenticity of ChatGPT responses: a study on text-matching capabilities by Ahmed M. Elkhatat (14152314)

“…However, a two-sample t-test revealed insufficient evidence to support a statistically significant difference between the text-matching percentages of both models. …”

Relational Database Design Patterns by Haraty, Ramzi A.

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Developing an online hate classifier for multiple social media platforms by Joni Salminen (7434770)

“…While all the models significantly outperform the keyword-based baseline classifier, XGBoost using all features performs the best (F1 = 0.92). …”

Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

“…The ENR-BP treatment mechanism relies on the use of OMs as a source of energy for phosphorus bio-uptake and the simultaneous nitrification and denitrification (SND) of nitrogen compounds. …”

Challenges and practices identification in complex outsourcing relationships: A systematic literature review by Ghulam Murtaza Khan (12024573)

Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring by Aya Nabil Sayed (17317006)

“…These results demonstrate significant potential for reducing energy waste and cost while maintaining user comfort. …”

A Unified Model-Based Framework for the Simplified Execution of Static and Dynamic Assertion-Based Verification by Muhammad Waseem Anwar (9316557)

“…The significance of the MODEVES framework is established through several case studies and the quantitative analysis shows an improvement of almost 100% in design productivity, as compared to the conventional low-level implementations.…”

Artificial Intelligence (AI) in Islamic Ethics: Towards Pluralist Ethical Benchmarking for AI by Ezieddin Elmahjub (17788526)

“…It emphasizes the significance of both textual and non-textual Islamic sources in addressing these uncertainties while placing a strong emphasis on the notion of "good" or "maṣlaḥa" as a normative guide for AI's ethical evaluation. …”

Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression by Alaa Abd-Alrazaq (17430900)

“…The current review aimed at examining the performance of wearable AI in detecting and predicting depression. The search sources in this systematic review were 8 electronic databases. …”

Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator by Fatemeh Negar Irani (22302835)

“…<p dir="ltr">The <u>gas turbine engine</u> is a predominant <u>prime mover</u> in the transport and energy sectors, and ensuring its reliable operation holds paramount significance. While intelligent fault diagnosis (FD) approaches have seen successful advancements within the <u>gas turbine</u> FD landscape, many existing methods operate under the assumption of identical health states during both data collection and the FD process. …”

Cutting‐edge technologies for detecting and controlling fish diseases: Current status, outlook, and challenges by Sk Injamamul Islam (14111241)

“…<p dir="ltr">Aquaculture is now the main source of seafood in human diets and is one of its fastest‐growing industries worldwide. …”

Non-Linear Programming-Based Energy Management for a Wind Farm Coupled with Pumped Hydro Storage System by Jannet Jamii (21383663)

“…<p dir="ltr">The large-scale integration of renewable energy sources (RESs) has become one of the most challenging topics in smart grids. …”

A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …”

PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping by Arvind Prasad (19997799)

“…<p dir="ltr">Android, the world’s most widely used mobile operating system, is increasingly targeted by malware due to its open-source nature, high customizability, and integration with Google services. …”

A machine learning-based optimization approach for pre-copy live virtual machine migration by Raseena M. Haris (17773470)

“…One solution to tackle the service unavailability is Live Virtual Machine Migration (LVM), that is, moving virtual machines (VMs) from the source host machine to the destination host without disrupting the running application. …”

Analysing Satellite Imagery Classification under Spatial Domain Shift across Geographic Regions by Sara A. Al-Emadi (22827935)

“…<p dir="ltr">Deep learning models are designed based on the i.i.d. assumption; consequently, they experience a significant performance drop due to the distribution shifts when deployed in real environments. …”

Assessing uncertainty in image-based monitoring: addressing false positives, false negatives, and base rate bias in structural health evaluation by Vagelis Plevris (14158863)

“…The Base Rate Bias plays a significant role, as low probabilities of actual damage often lead to misinterpretation of positive results. …”

Secure and Anonymous Communications Over Delay Tolerant Networks by Spiridon Bakiras (16896408)

“…Instead, our work introduces a novel message forwarding algorithm that delivers messages, from source to destination, via a random walk process. …”