This paper explores the challenges of implementing RPA in the election process, emphasizing the need for careful planning, cyber security, legal compliance, and maintaining transparency and data privacy. The findings should serve as an adequate basis for implementing a better election procedure that may reduce election fraud and errors.

This study examines the CCMAS and how AR applications can be deployed to implement the CCMAS in our various universities to address some of the inherent gaps in traditional classroom settings such as lack of interest, low level of concentration, low comprehension and low information retention, often exhibited by some students leading to low performance. The proposed model for the implementation of CCMAS with AR would enhance learning experience, improve concentration, comprehension, and provide better information retention among the students resulting in better performance.

The analysis indicates that capital structure, comprising bank size and leverage, has a substantial influence on bank performance, particularly with respect to Net Interest Margin. Larger banks tend to achieve higher Net Interest Margins due to economies of scale, diversification advantages, and enhanced access to capital.

This study’s objective is to design a simple Role Based Access Control (RBAC) in relation to serverless computing for a stronger authentication procedure. RBAC is a method of restricting network access based on the assigned tasks of individual users within a group. It could be challenging and complex to implement RBAC in serverless systems, necessitating the seamless integration of serverless deployment techniques and frameworks with fine-grained access control, and dynamic scaling. Thus, a flowchart that is easy to navigate is proposed to aid implementation.

Hackers have not only multiplied themselves, they comb everywhere using both sophisticated and non-sophisticated means of getting as much information as can be gleaned. These include social engineering, scavenging, dumpster diving, phishing, brute force, warchalking, war dialing, among others. Unfortunately, awareness among users of computer systems is rather low thus, making organizations to fall prey to hackers. This underscores the need for document management in institutions of learning in developing countries.

Despite the various GB benefits from which the occupants and owners can derive, the level of awareness of GB implementation in Nigeria is extremely low, with no reliable assessment tools. Therefore, the study assessed occupants’ awareness and perception of GB in selected certified of ice buildings. The study recommends more public awareness of the benefits of GB, and its rating system, government intervention on enabling policies and bureaucracy in building approval processes, and empowerment of the existing GB certification council in Lagos.

Cutting edge technologies like Artificial Intelligence (AI), Web 3.0, Green IT, and the Internet of Things (IoT) are being incorporated into many facets of human life thanks to the Fourth Industrial Revolution (4IR). Within the context of the Fourth Industrial Revolution (4IR), this research aims to critically analyse and evaluate the significance and practical applications of these technologies. The essay begins with an introduction covering the basics of the Fourth Industrial Revolution (4IR). The instruments are then put through a battery of tests, including an in depth analysis of their features, effects, and potential applications. The study concludes by discussing the dynamic between these instruments and their possible effects on the development of technology and culture.

Industrial expansion, a prominent catalyst for worldwide advancement, simultaneously plays a substantial role in the expanding use of energy and the release of greenhouse gases. This study aims to provide a detailed and critical examination of the significant role that renewable energy sources play in promoting sustainable industrial development, in light of the dual dilemma at hand. This investigation involves an assessment of the potential benefits and advantages presented by renewable sources, the problems they provide, and the significant consequences they have for the global industrial environment.

This study aims to investigate the impact of architectural education on energy sustainability in selected architectural schools in the Lagos Megacity. It explores the impact of architectural education in these schools of Architecture and how it has influenced the design and construction of energy-efficient buildings and, in turn, contributed to energy sustainability. The findings contribute to the knowledge of the role of architectural education in promoting energy sustainability in developing countries in the spirit of the SDG’s agenda.

Green building is designed, to minimize resource consumption and environmental impact, which plays an important role, in mitigating climate change. This paper, examines the viability of natural stones as a sustainable construction material, within the context of green buildings, as a response to climate change challenges.

This paper assesses the acceptability or otherwise, reason for such decision. The results should be a good ground to implement cyber security solutions for warding off kidnapping.

This study emphasised the critical need to address the numerous hurdles that hinder Nigerians from receiving counselling services, such as widespread stigma, a lack of understanding about mental health resources, a paucity of skilled practitioners, and the high cost of therapy. It also underlined the essential research gap in understanding the particular causes for this hesitation, as well as the cultural subtleties impacting help-seeking behaviours, emphasising the necessity for targeted treatments.

This study investigates user satisfaction and comfort in the context of green buildings through a comprehensive case study conducted in Lagos, Nigeria. Focusing on selected buildings, the research explores an analytical descriptive methodology to study sustainable design principles with occupant well-being in an urban environment and the economic and social benefits of sustainable building in an environment.

This study developed a binary logistic regression model to assess the risk factors of Hepatitis B using data collected from gastro clinic, cardiovascular department of Federal medical Centre Gusau Zamfara state fromJanuary2018toDecember 209. The study revealed that marital status (OR – 1.99), history of blood transfusion(OR = 2.70), multiple sex partner (OR = 2.01), and alcohol consumption (OR=2.55) has statistical association with Hepatitis – B virus disease while gender, and infected family member were not statistically associated with Hepatitis – B virus disease.

The importance of sustainable development makes the media an integral aspect of development that may be of invaluable relevance as it disseminates information and promote transparency and accountability between government, non- governmental organizations, private individuals and local communities. With a poverty level of about 65%, there are alteration of the precepts of socio- cultural values in Africa that has negatively affected development in the region.

The Fourth Industrial Revolution (4IR) has brought about a transformative wave of technological
advancements that hold immense potential for industrial innovation and sustainable development. Each of the key 4IR tools, namely Artificial Intelligence (AI), Web 3.0, Green IT, and the Internet of Things (IoT) has impacted on the way activities are run in the world today.

Multi-modal learning, which integrates data from multiple sources such as text, images, and audio, mimics human cognitive processes and enhances AI’s ability to reason and make decisions across different modalities.

In recent years, technology has catalyzed a paradigm shift in the way applications are designed and deployed. The Internet has added some flavors to technology and versions of the world wide web (www) came on board.

Machine learning (ML) algorithms, which could be supervised, unsupervised, semi-supervised or reinforcement, make notable contribution to disease prediction based on certain predictive (supervised) modelling on the basis of disease symptoms. The system processes and analyses these symptoms as input and releases the probable disease as output based on various supervised learning algorithms.

In the pursuit of inclusive education, early detection of learning disabilities plays a pivotal role. Traditional methods of identification often fall short due to their subjective nature and limited ability to capture nuanced behavioral and cognitive patterns.