Regression estimation for continuous-time functional data processes with missing at random response حسب Mohamed Chaouch (17983846)

Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data حسب Rajesh Kumar Dhanaraj (19646269)

"…During this process, the input patterns are categorized into different clusters. …"

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. …"

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

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

Modelling fatigue uncertainty by means of nonconstant variance neural networks حسب Mohamad Shadi Nashed (21363557)

"…First, we model the fatigue life of cover‐plated beams under constant amplitude loading, and then we model the relationship between random vibration velocity and equivalent stress in process pipework. The two case studies demonstrate that PNNs with nonconstant variance can model the distribution of the data while also considering the variability of both distribution parameters (mean and standard deviation). …"

Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks حسب Ahmed Mohamed (628889)

"…In contrast, vibration data can be efficiently collected using accelerometers and single-channel data loggers, providing a more feasible solution for initial screening. …"

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection حسب Sulaiman Khan (12585349)

"…<h3>Objective</h3><p dir="ltr">During the last few years, underwater object detection and marine resource utilization have gained significant attention from researchers and become active research hotspots in underwater image processing and analysis domains. This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…"

Experimental Verification of Low-Pressure Kinetics Model for Direct Synthesis of Dimethyl Carbonate Over CeO₂ Catalyst حسب G. Ibrahim (7601063)

"…The kinetic model predictions closely aligned with experimental data, demonstrating a 17% mean absolute percentage error and indicating a high level of predictability. …"

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. …"

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. …"

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.…"

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection حسب Faizul Rakib Sayem (21399890)

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

Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter حسب Mena S. ElMenshawy (17983807)

"…A few research studies focused on developing data filtering algorithm for the load forecasting process using approaches such as Kalman filter, which has good tracking capability in the presence of noise in the data collection process. …"

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model حسب Md. Nazmul Islam Shuzan (16888827)

Traffic fatality trends in four continents based micro level data for three decades حسب Hashim M. N. Al-Madani (19807239)

"…It took over three years to gather such data. Such large gathered data for such long period of time are yet not observed in the literature using the common means. …"

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 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. …"