Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units حسب Shanableh, Tamer

"…The flags pertaining to 16x16 sub CUs are used as a cover for data embedding, where 6 or 4 message bits are embedded per CU. …"
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Leveraging Deep Learning and Word Embeddings to Detect Dish Names in Consumer Reviews حسب ABOKHASHAN, DEENA YOUNIS

"…Initial experiments revealed a notable performance drop in domain adaptation from food names in recipe datasets to dish names in reviews, with the F1-score nearly 50% lower. A comparative analysis of 53 deep learning models using various word embeddings, including Glove, Word2Vec, and Bert variants, showed that a simple architecture with a single-layer Bidirectional Gated Recurrent Unit (BiGRU) and Conditional Random Field (CRF) layer achieved the best performance, with an F1-score of 93.07% using glove-twitter-100 embeddings in the MenuNER dataset. …"
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LimitAccess: on-device TinyML based robust speech recognition and age classification حسب Marina Maayah (17707242)

"…Our system achieved an overall F1 score of 87.7% and 85.89% accuracy. LimitAccess detected replay and synthetic voice attacks with an 88% F1 score.…"

A Deep Learning Model for Identifying and Analyzing Sarcasm and Emotions in Lebanese Arabizi from Instagram and Twitter Data حسب Rachid, Jinan

"…The Arabizi identification model achieved an impressive macro F1 score of 98%, while the sarcasm detection model achieved an average macro F1 score of 63%. …"
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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method حسب Shahid Rahman (16904613)

"…Furthermore, encrypting the same amount of information in images of varying sizes resulted in approximately 6.77 percent improvements. Embedding different sizes of a particular secret message in a different image (such as Gray, Texture, Aerial and RGB images) came out with about 5.466 percent of better score.…"

Sentiment Analysis in Social Media: A Deep Learning Framework for Analyzing Public Sentiment toward Policies during Natural Disasters حسب FOOLAD, MOHAMED ABDULLA

"…Transformers emerged as the most accurate model, with a precision score of (90.18%) and an accuracy of (90.17%). LSTM was also superior with regard to the accuracy, with an (88.45%) precision score and an accuracy of (88.44%). …"
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PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits حسب Hind Almerekhi (7434776)

"…Then, we extracted a set of sentiment shift, topical shift, and context-based features from the trigger detection dataset, using them to build a dual embedding biLSTM neural network that achieved an AUC score of 0.789. …"

Artificial Intelligence based Chatbot for promoting Equality in High School Advising حسب Khalil Assayed, Suha

"…The model built by connecting the input data into embedding layer, and then the data fed into the LSTM layer with different number of neurons, then authors used sigmoid function for the output layer. …"
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Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model حسب Al-Bashabsheh, Emran

"…However, The Pipeline model demonstrates a significant performance by evaluating it over the F1 score, recall, precision, and accuracy metric, which are 92.5%, 84.9%, 91.8%, and 84.97%, respectively.…"
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Deep learning-based user experience evaluation in distance learning حسب Rahim Sadigov (17714301)

"…Long short term memory-based sentiment analysis model using word2vec embedding was used to evaluate the opinions of Twitter users during distance education and also, a topic model using the LDA algorithm was built to identify the discussed topics in Twitter. …"

InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification حسب Khaled Al-Thelaya (17302711)

"…Uniform scale-invariance is optional and is a result of scaling curvature features to z-scores. We further augment the proposed descriptor with feature coefficients obtained through sparse coding of the extracted cellular structures using K-sparse autoencoders. …"

Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks حسب Daou, Leonardo

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Innovation KPIs in the UAE حسب Ebrahim, Mohammed Yousif

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Toward explainable AI-empowered cognitive health assessment حسب Abdul Rehman Javed (14764111)

"…XAI-HAR achieves 0.96% of F-score for health and dementia classification and 0.95 and 0.97% for activity recognition of dementia and healthy individuals, respectively.…"

Prevalence of SPOP and IDH Gene Mutations in Prostate Cancer in a Jordanian Population حسب Mohammed S. Alorjani (22282495)

"…One hundred formalin-fixed paraffin-embedded tissue samples were collected from patients diagnosed with prostate adenocarcinoma. …"

The impact of integrating technology into students’ presentations on peer evaluation in higher education حسب Abu-Ayyash, Emad A. S.

"…The findings showed that students’ scores on the attitudinal scale and their holistic rankings correlated positively with the degree of technology employed in the presentations. …"
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Health-promoting behaviors and self-efficacy among nursing students in times of uncertainty حسب Doumit, Rita

"…Results The results indicated that HPB measured by HPLP-II scores were negatively correlated with overall uncertainty scores (r = −.29, p < .01) and positively correlated with the General Self-Efficacy (GSE) scale scores (r = .41, p < .001). …"
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Family Vs. Non-Family Business Owners’ Commitment to Their Town حسب Assaker, Guy

"…Multigroup invariance was used to test the factorial equivalence of scores from the commitment model across family and non-family businesses. …"
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Model Texts or Visual Prompts? Which Teaching Strategy Better Influences Students’ Creative Writing? حسب AL-KARAKI, FARAH HAZIM

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

"…Our method combines low-dimensional embeddings of medical concepts, such as diseases labeled using the ICD-9 code, with temporal features extracted from chart events data. …"