Chittagong University of Engineering & Technology

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...

Thermally Switchable Broadband Terahertz Metamaterial Absorber Based on VO 2 for Low‐Reflection Absorptive Shielding

Thermally reconfigurable terahertz absorbers are of interest for active electromagnetic control, particularly where broadband absorption and low‐reflection shielding are required. In this work, a VO 2 ‐based thermally switchable metamaterial absorber is numerically investigated i...

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...

Maximising Regenerative Energy Return from Dynamo-Motor Traction Drives in Solar PV-Powered Electric Vehicles for Long-Haul Operation with Strong Stability

Abstract This thesis develops a design method for maximising the energy returned to the traction store of a solar photovoltaic (PV) powered electric vehicle by a dynamo-motor traction drive over a long-haul mission, while maintaining strong small-signal and large-signal stability...

Blue Technology in Switchgear for Sustainable Power Transmission Systems: Dielectric, Switching, Life-Cycle and Techno-Economic Modelling of SF₆-Free Clean-Air and Vacuum Gas-Insulated Substations

Abstract Sulphur hexafluoride (SF₆) has been the reference insulating and arc-quenching medium of high-voltage switchgear for six decades, but with a global warming potential of about 24 300 and an atmospheric residence time of the order of 3 200 years it is now the single larges...

Impact of SRR and CSRR placement strategies on microstrip antenna array performance: a comprehensive numerical and experimental investigation

Abstract This work presents a comprehensive numerical and experimental investigation of metamaterial-based split-ring resonator (SRR) and complementary split-ring resonator (CSRR) unit-cell placement strategies in a 2-element microstrip antenna array operating at 10 GHz. Unlike p...

Recognition of digits from brain data: A neural decoding approach

Imagined digit recognition is a significant research area within Brain–Computer Interface (BCI), involving non-invasive electroencephalography (EEG) for decoding brain activity. Imagined-digit decoding enhances communication for non-verbal individuals. This study proposes a Commo...

A YOLO enhanced deep learning model for efficient and scalable deepfake detection for real-time facial forgery recognition in digital media

Deep fake technology has significantly advanced the creation of synthetic images and videos, sparking widespread concerns about its potential misuse in spreading misinformation, violating privacy, and enabling identity theft. As these manipulations be-come increasingly sophistica...

Spatial distribution and statistical evaluation of pond water quality across 41 wards in Chattogram City, Bangladesh

Surface water (pond) plays an important role in sustaining urban communities, while rapid urbanization in Chattogram City has elevated concerns over its degradation over time. The current research assessed usable pond water quality across all 41 wards in Chattogram City by evalua...

A systematic review of machine learning and explainable artificial intelligence for electrocardiogram based cardiovascular disease prediction

Cardiovascular disease (CVD) are a leading cause of global morbidity and mortality, making early and accurate detection essential for improving patient outcomes. The electrocardiogram (ECG) is one of the most important diagnostic tools for identifying various cardiac abnormalitie...

MDCV : Multimodal Deceptive Clickbait Video Detection Using Transformer‐Based Model in Bangla

The proliferation of internet usage has made people increasingly dependent on it. Some fraudulent content makers make the content in an intriguing way that engenders users' curiosity. However, after clicking, they are deceived, which wastes users' time and degrades the credibilit...

DFT Insights intoo-MAX Phases, Mo2AAlC2 (A = Zr, Nb, Ta):Potential Candidates for ThermalBarrier Coating Applications

Abstract In this study, a detailed first-principles investigation based on density functional theory (DFT) was carried out to evaluate the structural stability and the electronic, mechanical, thermodynamic, and optical properties of the newly proposed o-MAX phases Mo2AAlC2 (A = Z...