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

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From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors حسب Michael R. Giordano (9976173)

"…The methods for correcting and calibrating these biases and dependencies that have been used in the literature likewise range from simple linear and quadratic models to complex machine learning algorithms. Here we review the needs and challenges when trying to get high-quality data from low-cost sensors. …"

A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method حسب Shahid Rahman (16904613)

"…Every communication body wants to secure their data while communicating over the Internet. The internet has various benefits but the main demerit is the privacy and security and the transmission of data over insecure network or channel may happen. …"

Stacking-based ensemble learning for remaining useful life estimation حسب Begum Ay Ture (17773170)

Synthesis with VHDL. (c2001) حسب Halawi, Hatem

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Energy-aware adaptive compression for mobile devices. (c2009) حسب Maddah, Rakan

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A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants حسب Khan, T.

"…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …"
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Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry حسب Issa, Leila

"…We present a new and fast method that blends altimetric and drifter positions data in order to predict the surface velocity in the Eastern Levantine Mediterranean. …"
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Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices حسب Aya Hasan Alkhereibi (17151070)

"…The methodology involves data preparation with <u>imputation</u> and normalization, followed by training 9 supervised ML models. …"

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation حسب Zakaria Shams Siam (22048001)

Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS حسب Tekli, Joe

"…To do so, we design and construct a semantic-aware inverted index structure called SemIndex, extending the standard inverted index by constructing a tightly coupled inverted index graph that combines two main resources: a semantic network and a standard inverted index on a collection of textual data. We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …"
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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning حسب Zeinab, Samira Jihad

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Modeling of Chlorophyll-a and Eutrophication Indicators in the Dubai Creek Area using Remote Sensing حسب Bachir, Abdallah Raafat

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Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing حسب Zabin, Asem Ahmad

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Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthma حسب Rawan AlSaad (14159019)

"…<h3>Background</h3><p dir="ltr">Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. …"

Single channel speech denoising by DDPG reinforcement learning agent حسب Sania Gul (18272227)

"…It achieves this performance by utilizing data that is 7 times smaller than that required by other models. …"

DAP: A dataset-agnostic predictor of neural network performance حسب Sui Paul Ang (18460605)

C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments حسب Raun, Kristo

"…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. The state-of-the-art output from streaming confor mance checking is a prefix-alignment. …"
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Generation and Detection of Sign Language Deepfakes - A Linguistic and Visual Analysis حسب Naeem, Shahzeb

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Online dynamic ensemble deep random vector functional link neural network for forecasting حسب Ruobin Gao (16003195)