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)

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. …"

Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing حسب Kashif Ahmad (12592762)

"…We also provided a large-scale benchmark data set. We believe the presented analysis, data set, and proposed solutions combined with a user-friendly interface can be used as a rapid surveillance tool to analyze and monitor mobile apps deployed in emergency situations leading to rapid changes in the applications without going through an intense participatory design method.…"

Transformative Procurement Trends: Integrating Industry 4.0 Technologies for Enhanced Procurement Processes حسب Areej Althabatah (19368568)

"…Such technologies offer diverse value propositions, encompassing streamlined supplier evaluation, lead time reduction, cost optimization, and enhanced data security. …"

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. …"

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). …"

CAT-Net: Convolution, attention, and transformer based network for single-lead ECG arrhythmia classification حسب Md Rabiul Islam (6424796)

"…</p> <h2>Other Information</h2> <p>Published in: Biomedical Signal Processing and Control<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.bspc.2024.106211" target="_blank">https://dx.doi.org/10.1016/j.bspc.2024.106211</a></p> <p>Additional institutions affiliated with: Electrical and Computer Engineering - TAMUQ</p>…"

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. …"

Artificial intelligence in medical referrals triage based on Clinical Prioritization Criteria حسب Ahmad Abdel-Hafez (17289934)

Operations management of outpatient chemotherapy process: An optimization-oriented comprehensive review حسب Majed Hadid (17148364)

"…Therefore, outpatient chemotherapy process (OCP) optimization has attracted the attention of operations management scholars. …"

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)

Assessing the Qatar National Library Open Access Program : Insights and Future Strategies حسب Lama Abuhasanain (20810435)

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

"…In addition, the uneven distribution among food categories may lead to data imbalance problems. All these issues make it challenging to create clean data sets for food from web data. …"