Khulna University of Engineering and Technology

Whole genome sequences of highly pathogenic H5N1 avian influenza viruses detected in felines in Bangladesh

Whole-genome sequences of three highly pathogenic H5N1 avian influenza viruses detected in cats in Bangladesh during 2025-2026 are reported. Phylogenetically, two strains grouped within clade 2.3.2.1a, and the other within the clade 2.3.4.4b. The isolates harbored mutations in ke...

Explainable spatiotemporal Graph Neural Networks: Multi-City PM2.5 forecasting in Bangladesh with geographic graph topology validation

Accurate forecasting of fine particulate matter (PM 2.5 ) is critical for mitigating severe health risks in South Asia, yet it remains challenging in data-scarce regions like Bangladesh. While spatiotemporal graph neural networks (GNNs) offer a promising solution by capturing atm...

Numerical investigation of heat transfer performance in a segmentally baffled shell-and-tube heat exchanger using Di- and tri-hybrid nanofluids: a comparative analysis of round and twisted tube arrangements

The growing global energy demand requires compact heat exchangers with high thermal performance and low pumping-power requirements. Shell-and-tube heat exchangers (STHXs) are widely used in industrial thermal systems, while baffles, twisted tubes, and hybrid nanofluids (HNFs) are...

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...

Assessment of compressive characteristics of coir fiber-reinforced concrete modified with wheat straw ash using predictive modeling

The growing demand for environmentally responsible construction materials requires reliable tools to predict the compressive strength of concrete incorporating agricultural waste and natural fibers. This study investigates the prediction of compressive strength of sustainable con...

Influence of crumb rubber particle content and size on stone mastic asphalt: a sustainable approach to asphalt pavement

Despite having certain limitations, stone mastic asphalt (SMA) is now widely adopted for the pavement to solve the problems of HMA pavement distress because of its strong stone-to-stone bonding and higher asphalt content. To increase this bonding among the aggregates and asphalts...

Transcriptional dynamics during the transition from culturable to viable but non-culturable states in Campylobacter jejuni

Abstract Background Campylobacter jejuni is a major foodborne bacterial pathogen that poses substantial global public health challenges. Under environmental stresses, C. jejuni can enter a viable but non-culturable (VBNC) state that enables persistence under adverse conditions. D...

Fish Epigenetics: Molecular Mechanisms, Environmental Adaptation, and Emerging Computational Approaches

Epigenetic regulation has transformed our understanding of how fish adapt to changing environments by modulating gene expression without altering the underlying DNA sequence. This review explores the “dark mastery” of fish epigenetics by providing mechanistic insights into the pr...

Influence of Footing Geometry on the Behavior of Floating Stone Columns in Soft Clay

Abstract Stone columns are commonly used to improve the bearing capacity and reduce the settlement of soft cohesive soils; however, the effects of footing shape and area replacement ratio on the floating stone column (FSC)–improved ground remain unclear. Short-term field load tes...

Hybrid explainable ensemble machine learning framework for flood susceptibility prediction in Somalia

Flooding remains one of the most severe hydro-meteorological hazards in Somalia, particularly along the Jubba River system, where recurring inundation threatens settlements, agricultural land, infrastructure, and livelihoods. This study developed a hybrid explainable artificial i...

EXPLORING THE SUITABLE AREAS IN BANGLADESH FOR PREDICTING EXTREME TEMPERATURES USING THE WRF-ARW MODEL

This study examines suitable areas in Bangladesh for predicting extreme temperatures using the Advanced Weather Research and Forecasting (WRF-ARW) model during the pre-monsoon and winter seasons. Based on the Root Mean Square Error (RMSE) of the temperature at 2m height, it is es...

A stochastic dual-channel clearance strategy for food waste prevention in perishable FMCG supply chains

About one third of all the food grown for people is lost or wasted every year. Fast-moving consumer goods with very short shelf lives lose a large share of this food at the distribution stage. Distributors face a hard choice because ordering too much turns good food into waste wh...

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...

Enhancing mechanical and physical performance of PALF-glass hybrid composites: A comparative study of Al2O3 & TiO2 fillers reinforcement

The growing demand for sustainable engineering materials has increased interest in hybrid natural-synthetic fiber composites. This investigation examined the mechanical and physical properties of a hybrid composite of pineapple leaf fiber (PALF) and glass fiber, fabricated by han...

Thermohydraulic assessment of a spiral-finned triple concentric tube heat exchanger using water-based Al₂O₃, CuO and TiO₂ nanofluids

The purpose of this work is to quantitatively examine the thermohydraulic performance of a spiral-finned triple concentric tube heat exchanger using various nanofluids. Using ANSYS Fluent 2020 R1, a 3D model is constructed, and a single-phase nanofluid approach is employed to sol...

Predicting 30-Day Hospital Readmission in Diabetes Patients

This study focuses on predicting 30-day hospital readmission risk among diabetes patients using machine learning techniques. A leakage-free machine learning pipeline was developed using the UCI Diabetes dataset. Multiple classification models including Logistic Regression, Random...

Predicting 30-Day Hospital Readmission in Diabetes Patients

This study focuses on predicting 30-day hospital readmission risk among diabetes patients using machine learning techniques. A leakage-free machine learning pipeline was developed using the UCI Diabetes dataset. Multiple classification models including Logistic Regression, Random...

Design of a highly sensitive plasmonic sensor based on platinum diselenide/blue phosphorene–tungsten disulfide/graphene oxide/aluminium oxide heterostructure for the detection of uric acid concentration

Abstract Conventional biosensors often suffer from reduced long-term performance because they rely on bio-recognition elements, such as enzymes and antibodies, which degrade over time. This study proposes a label-free heterostructured surface plasmon resonance-based sensor for hi...

Innovative development of an advanced machine learning modeling for predicting compressive strength of graphene-infused concrete: a SHAP and PDP approach

The quasi-brittle response of cementitious materials continues to limit their structural efficiency, necessitating advanced reinforcement strategies. While conventional fibers improve mechanical performance, the emergence of graphene-based nanomaterials offers new opportunities t...

Micro to nano-scale insights into a passive biomineralization pathway for developing a gate-to-gate carbon-negative bio-hybrid composite from lithium slag

Abstract The urgent need to decarbonize concrete is hindered by the scarcity of conventional supplementary cementitious materials. Here, we report a novel, passive biomineralization pathway to transform lithium slag into a functional carbon‑negative bio‑hybrid composite for susta...