Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

"…Parallel computing is demanded to allow for optimal resource utilization in dealing with smart grid big data. In this paper, a master-slave parallel computing paradigm is utilized and experimented with for load forecasting in a multi-AMI environment. …"

Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing حسب Jincheng Zhou (1887307)

"…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …"

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. …"

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

"…<p dir="ltr">Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. …"

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

"…<p>Different aggregation levels of the electric grid's big data can be helpful to develop highly accurate deep learning models for Short-term Load Forecasting (STLF) in electrical networks. …"

A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

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. …"

The what, where, who, why, which, and how of collaborative play involving autistic children in educational context: a contextual inquiry حسب Mohamad Hassan Fadi Hijab (17862620)

"…</p><h3>Results</h3><p dir="ltr">The study elicited six key themes from the interviews, coined as ‘5 W-H’, which encompassed the aspects of who (Actor), where (Location), what (Tool), why (Purpose), which (Sense), and how (Process) in terms of how collaborative play was conducted. …"

Impact of urban morphology on urban microclimate and building energy loads حسب Athar Kamal (17191843)

"…With the help of the Urban Weather Generator (UWG) and a locally established weather station, this research explores the validity of UWG processed open weather data (i.e., World Weather Online and Open Weather Map datasets). …"

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. …"

An intelligent nonintrusive load monitoring scheme based on 2D phase encoding of power signals حسب Yassine Himeur (14147787)

"…<p dir="ltr">Nonintrusive load monitoring (NILM) is the de facto technique for extracting device-level power consumption fingerprints at (almost) no cost from only aggregated mains readings. …"

Time-constrained concurrent data-offloading in the cloud and fog حسب Zakaria Maamar (20852837)

"…<p dir="ltr">This paper discusses the concurrent offloading of data in a multi-platform configuration consisting of cloud and fog. devices feed these platforms with data that need to be stored, processed, and/or shared. …"

A Comprehensive Analysis of Healthcare Big Data Management, Analytics and Scientific Programming حسب Shah Nazir (14779162)

"…Scientific programming play a significant role to overcome the existing issues and future problems involved in the management of large scale data in healthcare, such as by assisting in the processing of huge data volumes, complex system modelling, and sourcing derivations from healthcare data and simulations. …"

Integrated Multi-Criteria Model for Long-Term Placement of Electric Vehicle Chargers حسب Heba M. Abdullah (16896384)

"…</p><h2>Other Information</h2><p>Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2022.3224796" target="_blank">https://dx.doi.org/10.1109/access.2022.3224796</a></p>…"

Using ID-Based Authentication and Key Agreement Mechanism for Securing Communication in Advanced Metering Infrastructure حسب Shaik Mullapathi Farooq (16869909)

"…Smart Meters (SM) measure Power Consumption Data (PCD) of household devices and send it to DSO (Distributed System Operator) for further processing. …"

Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey حسب Basheer Qolomany (16855527)

"…Machine learning and big data analytics will undoubtedly play a critical role to enable the delivery of such smart services. …"

Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

"…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. The effect of surface area loading rate (SALR), organic matters (OMs), nutrients (N & P), feed flow rate (Q_feed), hydraulic retention time (HRT), and internal recycle flow (IRF) on the performance of the ENR-BP to fulfil rigorous discharge limitations were evaluated. …"

An efficient and secure compression technique for data protection using burrows-wheeler transform algorithm حسب M Baritha Begum (17541483)

"…The focus of this paper is to tackle the challenge of simultaneously compressing and encrypting data without affecting the efficacy of either process. …"

Application of human RNase P normalization for the realistic estimation of SARS-CoV-2 viral load in wastewater: A perspective from Qatar wastewater surveillance حسب Shimaa S. El-Malah (16931790)

"…<p>The apparent uncertainty associated with shedding patterns, environmental impacts, and sample processing strategies have greatly influenced the variability of SARS-CoV-2 concentrations in wastewater. …"

Parkinson’s disease and schizophrenia interactomes contain temporally distinct gene clusters underlying comorbid mechanisms and unique disease processes حسب Kalyani B. Karunakaran (12478431)

"…</p><p dir="ltr">Correction to: Author Correction: Parkinson’s disease and schizophrenia interactomes contain temporally distinct gene clusters underlying comorbid mechanisms and unique disease processes: <a href="https://doi.org/10.1038/s41537-024-00455-3" rel="noreferrer" target="_blank">https://doi.org/10.1038/s41537-024-00455-3</a>, published online 21 February 2024.…"