Temporal fusion transformer-based prediction in aquaponics حسب Ahmet Metin (12832543)

Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation حسب Rawan AlSaad (14159019)

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

"…Our proposed Traffic Transformer employs the sophisticated multi-head attention mechanism in lieu of the widely used recurrent architecture. This significant shift enhances the model's ability to capture long-range dependencies within time series data. …"

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting حسب Sasal, Lena

"…Among several merits of transformers, the ability to capture long-range temporal dependencies and interactions is desirable for time series forecasting, leading to its progress in various time series applications. …"
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Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis حسب George Nitzburg (18614989)

"…Specifically, symptom queries were first determined to be significantly predictive of subsequent 12-step queries if the probability of querying a medical symptom by those who later sought information about the 12-step program exceeded the probability of that same query being made by a comparison group of all other Bing users in the United States. …"

Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Diseas... حسب Parkes J Kendrick (9714851)

Preparation of Mesoporous/Microporous MnCo₂O₄ and Nanocubic MnCr₂O₄ Using a Single Step Solution Combustion Synthesis for Bifunction Oxy... حسب Anchu Ashok (14152020)

Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability حسب Iffa Afsa C M (22304104)

"…<p dir="ltr">Objective: Despite advancements in artificial intelligence (AI) for predicting cardiac arrest (CA) with multivariate time-series vital signs data, existing models continue to face significant problems, particularly concerning balance, efficiency, accuracy, and explainability. …"

A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

"…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …"

Correlation drives a strong attractive force on plasmonic photoelectrons حسب M Magrakvelidze (19568785)

"…This attraction can significantly influence the emerging photoelectron’s temporal delay behavior.…"

A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems حسب Raka Jovanovic (17947838)

"…The results of the conducted computational experiments indicate that an increase in infrastructure investment through high speed chargers can significantly decrease the size of the necessary fleets. …"

Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases حسب Glazer, Evan

"…Therefore, we reviewed our patient population for the temporal relationship between PET results and tissue-proven hepatic metastases from colorectal carcinoma. …"
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MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model حسب Md Abrar Jahin (20108252)

"…MCDFN utilizes Convolutional Neural Networks (CNNs), Long Short-Term Memory networks (LSTMs), and Gated Recurrent Units (GRUs) to extract spatial and temporal features from time series data. Comparative benchmarking against seven other deep-learning models validates MCDFN’s efficacy, showing it outperforms its counterparts across key metrics with a mean squared error (MSE) of 23.5738, root mean squared error (RMSE) of 4.8553, mean absolute error (MAE) of 3.9991, and mean absolute percentage error (MAPE) of 20.1575%. …"

A decision support system for automating document retrieval and citation screening حسب Raymon van Dinter (10521952)

"…The proposed DSS is effective and can substantially decrease the document retrieval and citation screening steps' workload and error rate.…"

Minimizing Traffic Congestion through V2V Communication حسب Alqawasmeh, Suhieb

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Initial risk assessment for pulmonary hypertension in patients with COPD حسب Yammine, Joe

"…Diffusion capacity was lower but did not reach statistical significance (P = 0.07). In multivariate analysis, statistically significant independent variables were >3% decrease in exercise oxyhemoglobin saturation and decline in prebronchodilator FEV1 (P = 0.01 and P = 0.04, respectively). …"
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Use of Ultrasound and Ionic Liquids to Enhance the Extractive Desulfurization of Oils حسب Zuraiqi, Karma

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Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet حسب Vineet Dhanawat (22361395)

"…<p dir="ltr">The exponential increase in the adoption of Electric Vehicles (EVs) presents significant problems to the stability of the power grid. …"

Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) حسب Mohammad, Hadi Ahmad

"…Climate change significantly impacts local, regional, and global vegetation changes. …"
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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment حسب Ikhlas Ghiat (16932564)

"…These predictive models assimilate microclimate, physiological and hyperspectral features with high temporal and spatial resolutions. The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …"