ISMSI

Socially responsible investors build investment portfolios intending to incite social and environmental advancement alongside a financial return. Although Mean-Variance (MV) models successfully generate the highest possible return based on an investor’...

Social media is currently being used by many individuals online as a major source of information. However, not all information shared online is true, even photos and videos can be doctored. Deepfakes have recently risen with the rise of technological ...

Abstract— Conspicuous progression in the field of machine learning (ML) and deep learning (DL) have led the jump of highly realistic fake media, these media oftentimes referred as deepfakes. Deepfakes are fabricated media which are generated by ...

Vehicle parking issues have been one of the biggest problems faced in urban areas, as the supply and demand for vehicles and parking spaces are getting unbalanced year by year. The traditional approach of adding more parking spaces is no longer an ...

Species distribution models (SDMs) are powerful tools for analyzing the relationships between species and the environment. SDM results can provide insights into a species’ response to a given habitat condition, making it crucial to compare SDMs based ...

Diabetes is a life-threatening disease that should be diagnosed and treated as early as possible. In this paper, Recursive Feature Elimination (RFE) and a Genetic Algorithm (GA) have been used for the Feature Selection (FS) of two different diabetes ...

In this study, we propose an improvement to the direct mating method, a constraint handling approach for multi-objective evolutionary algorithms, by hybridizing it with local mating. Local mating selects another parent from the feasible solution space ...

Gray wolf optimizer (GWO) is a new heuristic algorithm. It has few parameters and strong optimization ability and is used in many fields. However, when solving complex and multimodal functions, it is also easy to trap into the local optimum and ...

Multi-objective portfolio optimisation is a critical problem researched across various fields of study as it achieves the objective of maximising the expected return while minimising the risk of a given portfolio at the same time. However, many studies ...

The goal of this paper is to assess the Python computing time to solve a single row facility layout problem (SRFLP) by Simulated Annealing. The optimization problem is introduced, systematically modelled and then optimized numerically using a particular ...

Customer churn prediction is an essential strategy for companies, especially in telecommunications. Such industries face the challenge that customers frequently switch operators. Due to the higher cost of acquiring new customers compared to retaining ...

The aim of steganographic algorithms is to identify the appropriate pixel positions in the host or cover image, where bits of sensitive information can be concealed for data encryption. Work is being done to improve the capacity to integrate sensitive ...

Fair division of resources emerges in a variety of different contexts in real-world problems, some of which can be seen through the lens of game theory. Many equilibrium notions for simple fair division problems with indivisible items have been ...

Surface reconstruction is a classical task in industrial engineering and manufacturing, particularly in reverse engineering, where the goal is to obtain a digital model from a physical object. For that purpose, the real object is typically scanned and ...

Data clustering is a highly studied field of data science and computational intelligence. Population-based algorithms such as particle swarm optimization (PSO) have shown to be effective at data clustering. Set-based particle swarm optimization (SBPSO) ...

The concept of System of Systems (SoS) refers to a collection of Constituent Systems (CSs) that interact to deliver an emergent behavior that cannot be achieved by any individual CS on its own. The focus of this research is on the ad-hoc scalability of ...

This study has investigated whether adding yaw-wise rotation to an aircraft flap improves lift performance and elucidated its improvement mechanism. The aircraft is optimized for cruising conditions and lacks takeoff and landing performance. Hence, ...

Visual Question Answering (VQA) takes an active role in aiding people, especially with visual issues. Since, VQA answers questions about a specific image, it needs a deep understanding of the image and question content together. Recently, attention is ...

The paper discusses the principles of developing a multi-agent digital twin of plants using broccoli as an example of plants. The developed model of the digital twin of plants must meet the following requirements: real-time environmental data ...

In recent years, computed tomography (CT) has been widely used during scientific drilling, providing continuous data of various rock structures such as rock layers, sedimentary layers, fractures and pores. Low-resolution CT used in drilling is ...

Text classification technology has been efficiently deployed in numerous organizational applications, including subject tagging, intent, event detection, spam filtering, and email routing. This also helps organizations streamline processes, enhance ...

In human physiology, the brain plays a significant role as the control center of all regulatory processes. Any abnormality in the brain could lead to various physiological and psychological problems and, thus, demands early detection and treatment. ...