Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security حسب Muhammad Maaz (5600600)

"…The time efficiency of both proposed algorithms renders them well-suited for deployment in IoT ecosystems. …"

Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives حسب Yassine Himeur (14158821)

"…Specifically, an extensive survey is presented, in which a comprehensive taxonomy is introduced to classify existing algorithms based on different modules and parameters adopted, such as machine learning algorithms, feature extraction approaches, anomaly detection levels, computing platforms and application scenarios. …"

Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques حسب Amith Khandakar (14151981)

"…Classical machine learning algorithms with feature engineering and the convolutional neural network (CNN) with image enhancement techniques were extensively investigated to identify the best performing network for classifying thermograms. …"

Industrial Internet of Things enabled technologies, challenges, and future directions حسب Shams Forruque Ahmed (16517712)

"…A blockchain-based security framework for the cement sector can resolve 51% of security issues and Sybil attacks caused by consensus algorithms like Proof of Work (PoW). Major companies' performance depends on well-designed IIoT infrastructure, despite significant challenges. …"

FPGA-Based Network Traffic Classification Using Machine Learning حسب Elnawawy, Mohammed

"…The results of the conducted experiments indicate that random forest outperforms other algorithms achieving a maximum accuracy of 98.5% and an F-score of 0.932. …"
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Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound حسب Abdel-Hafez, Mamoun

"…Finally, the optimal release estimate is obtained by probabilistically adding the estimates from the hypothesized Kalman filter estimates. The proposed algorithms are first tested using a simulation environment. …"
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Detecting and Predicting Archaeological Sites Using Remote Sensing and Machine Learning—Application to the Saruq Al-Hadid Site, Dubai, UAE حسب Ben Romdhane, Haifa

"…The modelling and prediction accuracies are expected to improve with the insertion of a neural network and backpropagation algorithms based on the performed cluster groups following more recent field surveys. …"
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FPGA-Based Network Traffic Classification Using Machine Learning حسب Elnawawy, Mohammed

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ELISSAR. (c1997) حسب Nasreddine, Diana M.

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Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…In this study, I conduct a performance evaluation and comparison for various DL algorithms (LSTM, GRU, LSTM-ATT, CNN-BLSTM, CNN-LSTM, CNN-BILSTM-LSTM, and LSTM-TCN) on different datasets of Arabic cyberbullying to obtain more precise and dependable findings. …"
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Privacy Preserving Cancellable Template Generation for Crypto-Biometric Authentication System حسب Mohd Imran (12249782)

"…The comparative performance has shown that the proposed technique performed favourably against the existing state-of-the-art techniques and can be used feasibly.…"

A Machine Learning Approach to Predicting Diabetes Complications حسب Jian, Yazan Khaled

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Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters حسب Farhan, Abid

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Developing a UAE-Based Disputes Prediction Model using Machine Learning حسب Abu Laila, Ibrahim Wasef Subhi

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Nouveaux points de coupure et primitives pour les préoccupations de renforcement de sécurité حسب Mourad, Azzam

"…Moreover, we show the viability and correctness of our proposed pointcuts and primitives by elaborating and implementing their algorithms and presenting the results of explanatory case studies.…"
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New aspect-oriented constructs for security hardening concerns حسب Mourad, Azzam

"…Moreover, we show the viability and correctness of the proposed pointcuts and primitives by elaborating and implementing their algorithms and presenting the result of explanatory case studies.…"
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Fear from COVID-19 and technology adoption: the impact of Google Meet during Coronavirus pandemic حسب Saeed Al-Maroof, Rana

"…More interesting, the J48 classifier has performed better than the other classifiers in predicting the dependent variable in most cases.…"
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Correlation Clustering via 2-Club Clustering with Vertex Splitting حسب Thoumi, Sergio

"…Both of these problems are proved to be NP-Hard and heuristics are presented for 2CCED and 2CCEDVS.We compare the heuristic’s performance against well-known clustering algorithms on Biological and Social Networks. …"
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Enhancing Personalized Learning Experiences through AI-driven Analysis of xAPI Data حسب ODEH, HANEEN

"…The analysis examined an eLearning lesson with 153 records and 51 participants, it concluded that blooms-level and pre-assessments are reliable predictors of student performance. The classification algorithms were able to predict the pass/fail statues with up to 93.5% accuracy. …"
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Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…Therefore, in this study, we conduct a performance evaluation and comparison for various DL algorithms (LSTM, GRU, LSTM-ATT, CNN-BLSTM, CNN-LSTM and LSTM-TCN) on different datasets of Arabic cyberbullying to obtain more precise and dependable findings. …"
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