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

“…Leveraging the capabilities of this open-source home automation platform, we have developed a sophisticated system for providing real-time <u>energy consumption data</u>, personalized energy-saving recommendations, and a data-driven occupancy detection mechanism. …”

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection by Shakeel Ahmad (702854)

A novel mobile and vehicular Ad Hoc cloud framework for intursion detection. (c2017) by Dbouk, Toufic H

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

A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study by Masurkar, Faeez

“…The present study focuses on investigating the structural integrity of rail track sections of the high-speed railways using the Rayleigh waves generated and sensed using a fully non-contact optical Laser system. The raw broadband beam of the excitation laser was converted to a narrowband beam using a customized optical system, whereas the propagating Rayleigh waves were sensed using a three-dimensional (3D) scanning laser Doppler vibrometer (3D-SLDV) system. …”
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Dynamic model scaling based on segmented tumor size for breast cancer detection by Younes Akbari (16303286)

Deep and transfer learning for building occupancy detection: A review and comparative analysis by Aya Nabil Sayed (17317006)

“…The main concerns affecting the current occupancy detection system in terms of privacy and precision were thoroughly discussed. …”

Metabolomics of Dynamic Changes in Insulin Resistance Before and After Exercise in PCOS by Anna Halama (545988)

“…While compering within the groups, no significant changes in the amino acid levels before and after exercise were observed. …”

A FeedForward–Convolutional Neural Network to Detect Low-Rate DoS in IoT by Harun Surej Ilango (17545728)

Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

“…Even fewer systems address the detection and correction of erroneous well-formed Arabic words that are either contextually or semantically inconsistent within the text. …”
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Android Malware Detection Using Machine Learning by Al Ali, Shaikha

“…Malware, or malicious software, poses a significant threat to systems and networks. Malware attacks are becoming extremely sophisticated, and the ability to detect and prevent them is becoming more challenging. …”
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Anomaly Detection Based Framework for Profile Monitoring by Al-Rahim, Nour Al-Huda Z. Al-Abed

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Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques by Abu Jaffor Morshedul Abedin (22803884)

Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization by Rusab Sarmun (17632269)

“…In conclusion, our study effectively developed an innovative diabetic foot ulcer (DFU) detection system using an ensemble model of deep neural networks (DNNs). …”

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

“…However, their susceptibility to intrusions poses a significant challenge. This paper proposes a novel Intrusion Detection System (IDS) leveraging Particle Swarm Optimization (PSO) and an ensemble machine learning approach combining Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN) models to enhance the accuracy and reliability of intrusion detection in WSNs. …”

Modulation of SLFN11 induces changes in DNA Damage response in breast cancer by Christophe Michel Raynaud (17449906)

A Novel Hybrid Physical-Layer Authentication Scheme for Multiuser Wireless Communication Systems by Elmehdi Illi (19368673)

Conceptual Skills in Leading Change: A Competence Approach to Public Sector Leadership by JASIM, ARIF FADHEL AHMED

“…Leaders’ capacity to think about abstract and complex ideas has long been acknowledged as essential to leadership tasks such as planning and analysis; however, because conceptualisation is often ambiguous and difficult to understand, many frameworks of leadership and change lack clarity on the actual significance of leaders’ conceptual skills when leading change. …”
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Swimming exercise improves short‐ and long‐term memories: Time‐course changes by Mahmoud A. Alomari (14780446)

“…In this investigation, changes in the spatial hippocampal memory following a time-course of swimming exercise training were examined. …”

Protecting Smart Homes: A study on AI approaches to Detect Malwares and Developing a Two Factor Authentication System Based on SRAM PUF For Smart Home Users in UAE by ALSHAMSI, OMAR KHALIFA ALI ALREZI

“…The current research seizes this research gap as an opportunity to address unauthorized access threats in smart homes by proposing a dual approach: one component emphasizes malware detection via machine learning, while the other incorporates a two-factor authentication system which integrates a hardware-based security feature, the static random-access memory (SRAM) Physical Unclonable Function (PUF), with a user-created password, providing enhanced protection against unauthorized access. …”
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