Investigating the effects of stress on achievement: BIOSTRESS dataset by Çağla Çöpürkaya (16303288)

“…This relationship is highlighted through a dataset that includes questionnaires and physiological data from a group of individuals. …”

Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

“…To evaluate FSAs effectively, controlled environments are required, and the use of synthetic datasets offers significant advantages. We introduce a set of ten synthetically generated datasets with known relevance, redundancy, and irrelevance of features, derived from various mathematical, logical, and geometric sources. …”
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A New Dataset for Forged Smartphone Videos Detection: Description and Analysis by Younes Akbari (16303286)

“…These digital videos are extensively sent through various social media websites such as WhatsApp, Instagram, Facebook, Twitter, and YouTube. …”

R²S100K: Road-Region Segmentation Dataset for Semi-supervised Autonomous Driving in the Wild by Muhammad Atif Butt (10849980)

“…However, existing autonomous driving datasets provide well-structured urban roads while ignoring unstructured roadways containing distress, potholes, water puddles, and various kinds of road patches i.e., earthen, gravel etc. …”

Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

“…<p>Privacy is a significant issue that requires consideration in all applications. …”

Optimisation of PV Cleaning Practices: Comparison Between Performance Based and Periodic Based Approaches by ALHAJERI, RASHED ABDULLA

“…Solar energy has the largest untapped reserve in energy and is one of the fastest emerging energy markets. …”
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Shear Behavior of One-Way Reinforced Concrete Hollow Slabs Voided with PET Void Formers by Hasan, Haider H.

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Effect of consanguinity on birth weight for gestational age in a developing country by Wakim, Gerard

“…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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β-2-himachalen-6-ol protects against skin cancer development in vitro and in vivo by Daaboul, Hamid E.

“…Also, there was a significant decrease in p-Erk and p-Akt protein levels. …”
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Renewable Energy, Coal as a Baseload Power Source, and Greenhouse Gas Emissions: Evidence from U.S. State-Level Data by Squalli, Jay

“…After controlling for other sources of emissions, U.S. states that produce a larger share of renewable energy are found to have lower GHG emissions. …”
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The Use of the Gene Expression Omnibus (GEO) Database to Study Gene Expression and Methylation Patterns in Cases of Preterm Birth and Associated Diseases by Tala Abuarja (17075070)

“…</p> <h3>Results</h3> <p>Of the 8 datasets, 3 displayed significant changes in expression patterns after application of the filtering criteria. …”

Cyberbullying Detection Model for Arabic Text Using Deep Learning by 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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Cyberbullying Detection Model for Arabic Text Using Deep Learning by 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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Leveraging Deep Learning and Word Embeddings to Detect Dish Names in Consumer Reviews by ABOKHASHAN, DEENA YOUNIS

“…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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Effects of habitat complexity on the abundance, species richness and size of darkling beetles (Tenebrionidae) in artificial vegetation by Bartholomew, Aaron

“…Increasing complexity appeared to lead to decreasing beetle widths. 9 beetle species were relatively rare in, or absent from, the higher complexity treatments, including 5 of the 6 largest species. 2 rare, small beetle species were only found in higher complexity treatments. …”
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Cyberbullying Detection in Arabic Text using Deep Learning by 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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W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

“…Evaluating our framework on several publicly available benchmark time series datasets from various domains and with diverse characteristics, we demonstrate that it performs, on average, significantly better than the baseline forecasters for short-term and long-term forecasting, even for datasets that consist of only a few hundred training samples.…”
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

“…The global concern associated with ASD diagnosis is increasing at a rapid rate due to its significant impact on quality of life. Early identification of ASD can significantly support timely intervention and treatment planning. …”

Micro-Expression Recognition using Convolutional Variational Attention Transformer (ConVAT) with Multihead Attention Mechanism by Hafiz Khizer bin Talib (20571467)

“…Despite significant advancements in deep learning models, challenges persist in accurately handling the nuanced and fleeting nature of micro-expressions, particularly when applied across diverse datasets with varied expressions. …”

Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems by Mahmood, Lubna Syeda

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