Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing حسب Nauman Ullah Gilal (17302714)

"…To address this issue, we present <i>AutoCleanDeepFood</i>, a novel end-to-end food computing framework for regional gastronomy that contains the following components: (i) a fully automated pre-processing pipeline for custom data sets creation related to specific regional gastronomy, (ii) a transfer learning-based training paradigm to filter out noisy labels through loss ranking, incorporating a Russian Roulette probabilistic approach to mitigate data imbalance problems, and (iii) a method for deploying the resulting model on smartphones for real-time inferences. …"

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization حسب Mingjie Tang (227920)

"…<p>Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing. …"

RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. حسب Sebastian Kruse (18595195)

Big Data Management in Smart Grids: Technologies and Challenges حسب Ameema Zainab (16864263)

"…It is challenging the world computationally enough to develop new storage methods and data processing technologies. Managing big data involves data cleaning, integration of varied data sources, and decision-making applications. …"

Optimizing malicious website prediction: An advanced XGBoost-based machine learning model حسب Sumaira Hussain (19259669)

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

"…<div><p>Outpatient Chemotherapy Appointment (OCA) planning and scheduling is a process of distributing appointments to available days and times to be handled by various resources through a multi-stage process. …"

Functionalized cellulose nanocrystals extracted from date pits as agricultural waste for the efficient remediation of molybdenum from groundwater: Performance and mechanistic studi... حسب Hadeel A. Al-Karablieh (22302787)

Processing airborne LiDAR point cloud for solar cadasters: A review حسب Inas H. Mahir (20568158)

"…<p dir="ltr">This paper reviews existing literature in the critical role of processing Lidar point cloud data for generating Digital Elevation Models (DEMs)— Digital Surface Models (DSMs) and Digital Terrain Models (DTMs)—to develop solar cadasters, which are essential for optimizing solar energy deployment in urban environments. …"

An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…We clean the data, impute missing values, and eliminate the repeated columns. …"

Road Accidents In Bangalore: A Report حسب Sanjeev Kumar (279609)

Using big data safety analytics for proactive traffic management حسب Mohamed A. Abdel-Aty (19794429)

"…Real-time safety risk evaluation was developed for several expressways based on these data. Other big data applications involve combination of census, planning, safety, roadway and land use data to improve safety planning.…"

Critical Success Factors for Sustainable Construction Project Management حسب Murat Gunduz (16875960)

A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System حسب Ameema Zainab (16864263)

"…The proliferation of smart meters in the grids has resulted in an explosion of energy datasets. Processing such data is challenging and usually takes a longer time than the requirement of a short-term load forecast. …"

Mobility Analytics of Fans During the 2021 FIFA Arab Cup™ Football Tournament in Qatar حسب Jassuer Abidi (17986981)

"…The study processed tens of millions of records, overcoming challenges such as filtering data anomalies and validating and preparing the data for analysis. …"

Household-Level Energy Forecasting in Smart Buildings Using a Novel Hybrid Deep Learning Model حسب Dabeeruddin Syed (16864260)

"…The proposed framework consists of two stages, namely, data cleaning, and model building. The data cleaning phase applies pre-processing techniques to the raw data and adds additional features of lag values. …"

Urban Facility Management Improving Livability through Smart Public Spaces in Smart Sustainable Cities حسب Shimaa Basheir Abdelkarim (18877117)

Numerical modelling and simulation for extrusion-based 3D concrete printing: The underlying physics, potential, and challenges حسب Shoukat Alim Khan (14778226)

Integrating remote sensing and social sensing for flood mapping حسب Rizwan Sadiq (15192181)

"…Therefore, this paper explores the integration of remote sensing and social sensing data to derive informed flood extent maps. For this purpose, we employ state-of-the-art deep learning methods to process heterogeneous data obtained from four case-study areas, including two urban regions from Somalia and India and two coastal regions from Italy and The Bahamas. …"

Road side safety hardware: Current status and future outlook حسب Akram Abu-Odeh (19794246)

Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring حسب Sakib Mahmud (15302404)

"…</p><h3>Conclusion</h3><p dir="ltr">The proposed TTR-GAN can be implemented in wearable devices to obtain reliable real-time cardiovascular data during daily activities.</p><h2>Other Information</h2><p dir="ltr">Published in: Expert Systems with Applications<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.eswa.2024.123167" target="_blank">https://dx.doi.org/10.1016/j.eswa.2024.123167</a></p>…"