Modeling and forecasting carbon dioxide emission in Pakistan using a hybrid combination of regression and time series models.

Carbon dioxide (CO) emissions continue to rise globally despite efforts to combat climate change. Energy industry emissions are a pressing global issue, causing devastating impacts. Hence, it is vital to accurately and efficiently forecast CO emissions.

Optimal features selection in the high dimensional data based on robust technique: Application to different health database.

Bio-informatics and gene expression analysis face major hurdles when dealing with high-dimensional data, where the number of variables or genes much outweighs the number of samples. These difficulties are exacerbated, particularly in microarray data processing, by redundant genes that do not significantly contribute to the response variable. To address this issue, gene selection emerges as a feasible method for identifying the most important genes, hence reducing the generalization error of classification algorithms.

Assessing the role of sustainable strategies in alleviating energy poverty: an environmental sustainability paradigm.

The rapid urbanization and industrialization of India have caused a demand-supply gap in the electrical sector, leading to higher electric bills. Lower-income households face the worst energy poverty in the country. Sustainable strategies like corporate social responsibility are the most effective way to combat the energy crisis.

Successful Management of IT Projects in Healthcare Institutions after COVID-19: Role of Digital Orientation and Innovation Adaption.

This research aims to examine specific issues that how healthcare institutions successfully manage IT projects after the deadly disease of COVID-19. The world's healthcare institute changed its traditional way of treatment to IT-based equipment after COVID-19. Hence, this study investigated the how digital orientation helps healthcare institutes for successful management of IT.

A Comprehensive Review of Micro UAV Charging Techniques.

The groundbreaking Unmanned Aerial Vehicles (UAVs) technology has gained significant attention from both academia and industrial experts due to several applications, such as military missions, power lines inspection, precision agriculture, remote sensing, delivery services, traffic monitoring and many more. UAVs are expected to become a mainstream delivery element by 2040 to address the ever-increasing demand for delivery services. Similarly, UAV-assisted monitoring approaches will automate the inspection process, lowering mission costs, increasing access to remote locations and saving time and energy.