Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

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Sensor-based Continuous Arabic Sign Language Recognition by Tubaiz, Noor Ali

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A novel methodology for offline English handwritten character recognition using ELBP-based sequential (CNN) by Muniba Humayun (21323750)

Associative memory retrieval modulates upcoming perceptual decisions by Bornstein, Aaron M.

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Real-time analysis of soccer ball–player interactions using graph convolutional networks for enhanced game insights by Fahad Majeed (22466596)

An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

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A Retiming-Based Test Pattern Generator Design for Built-In Self Test of Data Path Architectures by El-Maleh, Aiman H.

“…This new methodology guarantees high fault coverage but requires special test sequences and test pattern generator (TPG) designs. In this paper, we demonstrate the use of the retiming technique in designing TPGs for balanced bistable sequential kernels. …”
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Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode by Tubaiz, Noor Ali

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Multiple Proposals for Continuous Arabic Sign Language Recognition by Hassan, Mohamed

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Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition by Tuffaha, Mohammed

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Sensor-Based Signer Independent Continuous Arabic Sign Language Recognition by Hassan, Mohamed

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A New Flow-Based Approach for Enhancing Botnet Detection Efficiency Using Convolutional Neural Networks and Long Short-Term Memory by Mehdi Asadi (12566741)

Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting by Aryan Bhambu (18767731)

“…Stacked hidden layers are incorporated to facilitate deep representation learning, allowing the extraction of complex patterns from the data. Forecasts are generated by integrating the outputs of each layer using an ensemble approach. …”

Clustering and Stochastic Simulation Optimization for Outpatient Chemotherapy Appointment Planning and Scheduling by Majed Hadid (17148364)

“…A Stochastic Discrete Simulation-Based Multi-Objective Optimization (SDSMO) model is developed and linked to clustering algorithms using an iterative sequential approach. The experimental results indicate the positive effect of clustering similar appointments on the performance measures and the computational time. …”

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment by Poonam Dhiman (12889038)

“…Identification of citrus diseases such as cankers black spot, greening, scab, melanosis, and healthy citrus fruits are implemented using the proposed sequential model without pruning, with pruning having different sparsity levels followed by post quantization. …”

Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

“…Initially, raw datasets chronicling sporadic traffic accidents are transformed into multivariate, regularly sampled sequences that are amenable to sequential modeling through a temporal discretization process. …”

Investigating the perceptions of undergraduate nursing students of their clinical learning experience and readiness for clinical practice in the UAE context. by MAALOUF, IMAD

“…The purpose of this study is to investigate undergraduate nursing student’s perceptions of their clinical learning experience, effective teaching methods, and their readiness for clinical practice. A sequential explanatory mixed method case study design was used in this study. …”
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Cardiac phosphodiesterases are differentially increased in diabetic cardiomyopathy by Hanna, Rita

“…Myocardial remodeling, structure and function were evaluated by histology and echocardiography, respectively. We delineated the sequential changes affecting cAMP signaling and characterized the expression pattern of the predominant cardiac PDE isoforms (PDE 1–5) and β-adrenergic (β-AR) receptors at 4, 8 and 12 weeks following diabetes induction, by real-time quantitative PCR and Western blot. cAMP levels were measured by immunoassays. …”
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