Green finance has seen increased attention from academic researchers and policymakers due to its relevance in mitigating climate change and achieving environmental sustainability goals. Despite the exponential rise in its ...
The policymakers in emerging economies have accelerated their efforts to move toward sustainable development due to the associated challenges of environmental degradation and disparities in economic growth. The present ...
Global urbanization has accelerated due to the persistent trend of rural-to-urban migration in search of better prospects and livelihoods, which has had serious negative effects on the environment, especially in rapidly ...
The Sub-Saharan Africa (SSA) region is facing environmental sustainability challenges due to its abundant reserves of strategic commodities like crude oil and gold. These commodities significantly contribute to economic ...
This study delves into the convergence of Industry 5.0 and Society 5.0, exploring their combined potential for fostering sustainability and resilience in future endeavours. Through an examination of the intertwined dynamics ...
The main aim of this study is to explore the role of gender-based digital financial inclusion (GDFI) and women empowerment in poverty reduction in Asian countries using a panel data set from 2011 to 2023. For this purpose, ...
Software-Defined Networking (SDN) is a paradigm shift in network architecture. It decouples the control plane from the data plane to enable centralized network management and programmability. While Software Defined Networks ...
The novel coronavirus disease (COVID-19) and any future coronavirus outbreaks will require more affordable, effective and safe treatment options to complement current ones such as Paxlovid. Drug repurposing can be a promising ...
Vehicular networks represent a new distributed
system paradigm that requires robust fault tolerance to ensure
reliable operation. As a burgeoning area of research, the
scalability and optimization of consensus mechanisms ...
The next great innovation in Unmanned Aerial Vehicles (UAV) technology is smart UAVs, which aim to provide new possibilities in numerous applications. There is an increasing usage of UAVs in various fields of civil ...
The emerging autonomous driving industry expects real-time information to be communicated in less amount of time. Most of the extant research works on deterministic or stochastic channels, which are deemed unrealistic for ...
Internet of Vehicles (IoV) applications require the support of communication, caching, and computation (3C) resources to offload the computation-intensive tasks and for uplifting the traffic conditions in the development ...
Advancements in 3GPP specifications and the extensive deployment of 5G networks have driven significant growth in the Internet of Vehicles (IoVs). This development has led to an increase in Connected and Autonomous Vehicles ...
Green IoV has emerged as a latent solution in the field of autonomous driving for the future Intelligent transportation system (ITS) accompanied with green wireless communication and computational intelligence. It facilitates ...
Dysarthria is a speech disorder caused by stroke, Parkinson’s disease, neurological injury, or tumors that damage the nervous system and weaken the speech quality. Developing a unique voice command system for Dysarthric ...
Anomaly detection is critical for real-time applications, e.g., monitoring elderly people or kids from a remote place; gas leakage detection, night vision surveillance, etc. Detecting anomalous behavior becomes even more ...
In the rapidly evolving landscape of digital marketing, effective customer engagement through advertisements is crucial for brands. Thus, computational understanding of ads is pivotal for recommendation, authoring, and ...
Band-to-Band Registration (BBR) is a pre-requisite image processing operation essential for specific remote sensing multispectral sensors. BBR aims to align spectral wavelength channels at sub-pixel level accuracy over ...
The essence of music is inherently multi-modal – with audio and lyrics going hand in hand. However, there is very less research done to study the intricacies of the multi-modal nature of music, and its relation with genres. ...
Detecting facial expressions is a challenging task in the field of computer vision. Several datasets and algorithms have been proposed over the past two decades; however, deploying them in real-world, in-the-wild scenarios ...