Redefining governance: a critical analysis of sustainability transformation in e-governance.

With the rapid growth of information and communication technologies, governments worldwide are embracing digital transformation to enhance service delivery and governance practices. In the rapidly evolving landscape of information technology (IT), secure data management stands as a cornerstone for organizations aiming to safeguard sensitive information. Robust data modeling techniques are pivotal in structuring and organizing data, ensuring its integrity, and facilitating efficient retrieval and analysis.

Revolutionizing Urban Mobility: IoT-Enhanced Autonomous Parking Solutions with Transfer Learning for Smart Cities.

Smart cities have emerged as a specialized domain encompassing various technologies, transitioning from civil engineering to technology-driven solutions. The accelerated development of technologies, such as the Internet of Things (IoT), software-defined networks (SDN), 5G, artificial intelligence, cognitive science, and analytics, has played a crucial role in providing solutions for smart cities. Smart cities heavily rely on devices, ad hoc networks, and cloud computing to integrate and streamline various activities towards common goals.

Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems.

Network intrusion is one of the main threats to organizational networks and systems. Its timely detection is a profound challenge for the security of networks and systems. The situation is even more challenging for small and medium enterprises (SMEs) of developing countries where limited resources and investment in deploying foreign security controls and development of indigenous security solutions are big hurdles.

Botnet Attack Detection in IoT Using Machine Learning.

There are an increasing number of Internet of Things (IoT) devices connected to the network these days, and due to the advancement in technology, the security threads and cyberattacks, such as botnets, are emerging and evolving rapidly with high-risk attacks. These attacks disrupt IoT transition by disrupting networks and services for IoT devices. Many recent studies have proposed ML and DL techniques for detecting and classifying botnet attacks in the IoT environment.

Hybrid Approach for Improving the Performance of Data Reliability in Cloud Storage Management.

The digital transformation disrupts the various professional domains in different ways, though one aspect is common: the unified platform known as cloud computing. Corporate solutions, IoT systems, analytics, business intelligence, and numerous tools, solutions and systems use cloud computing as a global platform. The migrations to the cloud are increasing, causing it to face new challenges and complexities.

Acral melanoma detection using dermoscopic images and convolutional neural networks.

Acral melanoma (AM) is a rare and lethal type of skin cancer. It can be diagnosed by expert dermatologists, using dermoscopic imaging. It is challenging for dermatologists to diagnose melanoma because of the very minor differences between melanoma and non-melanoma cancers.

Moderating role of institutional quality in validation of pollution haven hypothesis in BRICS: a new evidence by using DCCE approach.

The technological innovation and strict environmental protocols in the highly developed regions have become the primary sources for foreign direct investment to move in the pollution haven economies. In this regard, this study attempted to identify the role of foreign direct investment (FDI) in the developing economies of the Brazil, Russia, India, China, and South Africa (BRICS) region. For this reason, a dataset was obtained between 1995 and 2019.

Economic growth, fiscal imbalance, and environmental sustainability: What is desirable and undesirable for developing economies?

Developing economies are suffering to fulfill the sustainable environment's commitments in fiscal imbalance. This study attempted to highlight the core issue of fiscal imbalance in developing economies and its impact on a sustainable environment. For this purpose, the study utilized generalized least squares (GLS) and quantile autoregressive distributive lag (QARDL) on a 19-year dataset (2000-2018) of the South Asian region.

Globalization, sustainable development, and variation in cost of power plant technologies: A perspective of developing economies.

This study evaluates the sustainable power plant cost in the outlook of global power plant efficiency to reduce fossil fuel dependency and greenhouse gas emissions. For this purpose, the Global Change Assessment Model (GCAM) applied for conducting the cost assessment of power zone technologies for all principal electricity generation. This study considers the characteristics of essential factors (cement, price of resources, possible increases in employees, and metals) that affect costs.

Managerial policy and economic analysis of wind-generated renewable hydrogen for light-duty vehicles: Green solution of energy crises.

The unconventional energy sources like hydrogen energy have tremendous potential of filling the gap between economic growth and clean energy consumption. A little intention has been made in this regard in the developing economies like Pakistan. This study develops a fusibility analysis to highlight the potential of hydrogen energy source in Pakistan.

Correction to: Assessing the integration of solar power projects: SWOT-based AHP-F-TOPSIS case study of Turkey.

The correct affiliation of the 1st Author is shown in this paper.

Correction to: Optimal oil stockpiling, peak oil, and general equilibrium: case study of South Asia (oil importers) and Middle East (oil supplier).

The correct affiliation of the 1st Author is shown in this paper.

Trilemma among energy, economic and environmental efficiency: Can dilemma of EEE address simultaneously in era of COP 21?

Economic growth is a prerequisite for development while energy is the engine for growth process. In the era of globalization, production cost heavily dependent on energy intensity and efficiency with keeping environmental conditions intact. Therefore, the structuring of a significant environmental index is pre-requisition of the world with energy intensity, energy efficiency.

The role of fixed capital formation, renewable and non-renewable energy in economic growth and carbon emission: a case study of Belt and Road Initiative project.

Economic integration in the form of Belt and Road Initiative project opens many opportunities and hazards, especially of the participating nations' environment. The current study attempted to empirically test the economic and energy usage (renewable and non-renewable) impact on some selected countries of belt and road projects. For this purpose, the panel data set of twenty-four emerging economies of belt and road projects was selected from 1995 to 2014.

Energy insecurity, pollution mitigation, and renewable energy integration: prospective of wind energy in Ghana.

Wind energy is seen as an important energy to sustainably meet the energy needs of Ghana. However, the industry in Ghana is yet to take off due to policy uncertainty and regulatory costs. The paper analyzed the key determinants and how they interact to impact the scaling up of wind energy in Ghana, using time series data, the vector auto regression (VAR) model from 2013 to 2019.

Scaling up renewable energy in Africa: measuring wind energy through econometric approach.

Wind energy continues to make inroads in Africa due to falling costs and technological advancements. Most African countries are planning, exsiccating and connecting their renewable energy projects with national grid system with giving high propriety to energy security, sustainable energy consumption and low carbon emission. Many policies have been enacted by countries to promote the scaling up of wind energy and renewable energy in particular, across the globe.

Nexus between sustainable entrepreneurship and environmental pollution: evidence from developing economy.

Today, society is seeking solutions to achieve sustainable development, through association between entrepreneurship, innovation and sustainable development has become a topic of great apprehension. In this perspective, this article aims to link environmental responsive entrepreneurship with sustainable development through empirical evidences from developing country. Therefore, the purpose of this study is to validate the environmental Kuznets curve hypothesis to confirm the achievement of sustainable development goals in Pakistan.

Trilemma assessment of energy intensity, efficiency, and environmental index: evidence from BRICS countries.

This paper provides an assessment of energy density and energy efficiency and creates an important indicator of environmental performance. This article applied two mathematical models and econometric techniques to obtain detailed and specific results. The DEA and the non-normative account aggregation mean a collective aggregation to form a mathematical aggregation tool to create an environmental index for the BRICS countries (Brazil, Russia, India, China, and South Africa) based on available data from 2011 to 2016.

Assessing the integration of solar power projects: SWOT-based AHP-F-TOPSIS case study of Turkey.

Solar energy systems are a cheaper and easy solution to cope with severe energy crisis especially in emerging economies including Turkey which exerted huge efforts to enhance the existing solar power projects. However, the selection of the optimal site for the installation of solar projects needs vigorous investigation through various factors. Adequate quantitative scientific research is required for the process of site selection in Turkey.

Optimal oil stockpiling, peak oil, and general equilibrium: case study of South Asia (oil importers) and Middle East (oil supplier).

Optimal stockpiling is the best possible strategy to overcome the problem of peak oil periods of oil producer economies. We measured the properties of strategic petroleum oil reserve and general equilibrium and its peak oil effects. Measured the optimized scales of SPR through using oil price model, global oil market, and depletion effects of oil production classification.

Economics of energy and environmental efficiency: evidence from OECD countries.

The purpose of this research is to determine the efficiency of energy usage and its role in carbon dioxide emissions (CI) and economic-environmental efficiency (EEE) for some countries Organization for Economic Co-operation and Development (OECD) economies. For environment quality assessment, data envelopment analysis (DEA) is used to assess the data cover the period from 2013 to 2017. In this study, primary energy consumption (PEC) and population are two basic inputs along with gross domestic product (GDP) and carbon dioxide emissions that are desirable and undesirable  outputs, respectively.

Integrated effect of energy consumption, economic development, and population growth on CO based environmental degradation: a case of transport sector.

The transportation sector consumes 25% of world energy with 23% of the world's total carbon emission. Therefore, it is necessary to investigate the integrated effect of fossil fuel source of energy consumption, economic development, and total population on CO emission based on environmental degradation transportation sector. We employed the econometric methodologies such as a hybrid error correction model, regression coefficients, platykurtic distribution, Dickey-Fuller test, and co-integration test in order to justify empirical analysis for Pakistan transport sector.

Quantification of Climate Warming and Crop Management Impacts on Cotton Phenology.

Understanding the impact of the warming trend on phenological stages and phases of cotton ( L.) in central and lower Punjab, Pakistan, may assist in optimizing crop management practices to enhance production. This study determined the influence of the thermal trend on cotton phenology from 1980-2015 in 15 selected locations.