Academic Articles & Research Papers

Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

The goal of this research is to develop a model employing deep neural networks (DNNs) to predict the effectiveness of mangrove forests in attenuating the impact of tsunami waves. The dataset for the DNN model is obtained by simulating tsuna...

Convolutional Neural Network Based Approval Prediction of Enhancement Reports

For a given software enhancement report, identifying its possible approval status could help software developers by suggesting feature enhancements to compete in the software industry. An automatic solution for the approval prediction of en...

A Gradient Boosting-Based Machine Learning Model for the Prediction of the Hardness of Thermoplastic Polymers.

Decolonising cinematography education: experimenting with lighting ratios and textures for Black and Asian skin tones

Cinematographers are trained to control and measure the relative difference in brightness between two parts of a scene, or a face, for expressive purposes. Painting is often referred to for inspiration as practitioners learn to compose and ...

Online Course Tailoring Design through Project-Based Learning Syntax in Fashion Studies

In learning Tailoring courses, understanding theory is a very important basis before students practice. Without a strong understanding of theory, tailoring practice will only be trial and error. Therefore, lecturers must ensure that each st...

BFLP: blockchain-based federated learning protocol with verifiable contribution proof

Abstract Cross-institutional federated learning suffers from centralized trust fragility, poisoning attacks, and the lack of verifiable contribution-based incentives. This paper proposes BFLP, a blockchain-based federated learning protocol ...

Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions

Abstract With the advancement of this digital era and the emergence of DApps and Blockchain, secure, robust and transparent network transaction has become invaluable today. These traditional methods of securing the transactions and maintain...

Theoretically Speaking – An Autoethnographic Journey in Crossing Disciplines to Being-Becoming a Practical Scholar

Becoming a PhD scholar requires a change in identity and new ways of thinking. This is difficult for those from practical backgrounds who struggle to merge the theoretical/scholarly with the creative/practical. Moving towards the scholarly ...

An innovative and sustainable design of intangible Miao wax printing patterns in combination of diffusion model and fuzzy TOPSIS

Abstract Miao wax printing is a dyeing and weaving process in which natural dyes replace chemical dyes. It is renowned for its unique patterns and exquisite craftsmanship. However, with the development of industrialization and the decreasin...

Uncovering Psychographic Segments in Indonesia’s Modest-Fashion Market Using VALS and K‑Means Clustering

Background: The Muslim fashion industry in Indonesia continues to expand rapidly, reflecting the dynamic intersection between cultural values and global-style trends. However, many small and medium-sized enterprises (SMEs) still rely on con...

Changing Attitudes Towards Research Through a Course-based Undergraduate Research Experience

Studies show undergraduate students typically view research-focused educational courses negatively, with students reporting feelings of anxiety, difficulty, detachment, and reduced perceptions of relevancy to their own life. Course-based un...

Applying Multiple Machine Learning Methods to Identify Correlates of Non-Suicidal Self-Injury Behaviors in Chinese Middle School Students: A Cross-Sectional Study.

Taiji as a Health-Promoting Mind-Body Exercise: Linking Movement, Learning, and Cognitive Health.

Predicting adolescent depression: an interpretable machine learning model.

Xue model exploration for oxytactic microbes in radiative MHD hybrid nanoliquid using machine learning technique.

Characteristics and perceived pathways of students' informal learning experiences in highly flexible public spaces of higher education: a mixed-method study based on four universities in Zhejiang Province.

The predictive association between the teaching environment and psychological wellbeing: psychological safety, university belonging, and learning engagement.

Generative artificial intelligence use and interpersonal educational interaction among nursing students: self-regulated learning as a statistical mediator.

Machine learning models integrating 2D and 3D intratumoral heterogeneity features from multi-sequence MRI: accurate prediction of perineural invasion in pancreatic ductal adenocarcinoma.

Culturally aware comparative evaluation of machine learning and deep learning models for cyberbullying detection.