American International University-Bangladesh

Framing an epistemic collaboration between chat GPT’s peripheral instrumentality and the author’s optimal anthropocentrism for enhancing non-native-English-speaking researchers’ scientific writing

Apparently, English is the dominant language for scientific writing. Globally, non-native English-speaking researchers (N-NESRs) often experience being viewed as having deficiencies in the quality of the English language of their scientific papers. Given this, N-NESRs often exper...

AI in supply chain risk assessment: a systematic literature review and bibliometric analysis

Abstract Supply chain risk assessment (SCRA) is pivotal for ensuring resilience in increasingly complex global supply networks. While existing reviews have explored traditional methodologies, they often neglect emerging artificial intelligence (AI) and machine learning (ML) appli...

Optimal placement and sizing of microgrid with electric vehicle considering demand response: Optimization strategies, future prospects and recommendations

MG design is becoming a vital aspect of power system planning because to the integration of DERs, EVs, and DR into power systems. However, it becomes challenging to optimize MG size and placement. Since there is strong interdependence between placement and size of the MG, an indi...

Class balanced diabetic retinopathy image synthesis using a latent diffusion framework

Diabetic Retinopathy (DR) is one of the major causes of preventable blindness globally. Automated screening for DR is critical but is severely hindered by data scarcity and class imbalance. Real-world datasets, such as APTOS 2019, exhibit extreme class imbalance, where sight-thre...

Barrier-Function-Constrained Residual RL-Based Current Control for LCL-Filtered NPC Inverters under Weak-Grid Operation

As renewable energy penetration continues to grow, grid-connected inverters are increasingly required to operate reliably under weak-grid conditions, where low short-circuit ratios, changing grid impedances, and rapid disturbances reveal the limitations of conventional fixed-gain...

Revolutionizing Residential Living: A Systematic Review of IoT Applications, Challenges, and Future Trends in Smart-Home Automation

Background: This paper aims to systematically review, based on a set of 125 papers, smart-home automation with IoT from the perspective of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main evidence synthesis was conducted on empi...

Optimizing container loading and unloading through dual-cycling and dockyard rehandle reduction using a hybrid genetic algorithm

Abstract This paper addresses the NP-hard problem of optimizing container handling at ports by integrating Quay Crane Dual-Cycling (QCDC) and dockyard rehandle minimization. We identify critical inter-dependencies between the unloading sequence of QCDC and the dockyard container...

Impact of imperatorin and isoimperatorin on the pharmacokinetics of abemaciclib both in vivo and in vitro

<title>Abstract</title> Abemaciclib is used for the treatment of breast cancer (BC) in clinics. The combination of abemaciclib and imperatorin or isoimperatorin has been studied <italic>in vitro</italic> and <italic>in vivo</italic> to explore the pharmacokinetics of Chinese herb...

Advancing immunogenic peptide identification using explainable machine learning framework for rational vaccine design

Abstract The identification of immunogenic peptides is essential for the development of effective vaccines and immunotherapies. However, accurately identifying these peptides remains a significant challenge, as it involves a complex interplay of multiple biological factors. In th...