Time–Frequency Transformations for Enhanced Biomedical Signal Classification with Convolutional Neural Networks by Georgios Lekkas, Eleni Vrochidou, George A. Papakostas

“…In this study, we investigated the effectiveness of different 1D-to-2D transformation methods to classify electrocardiogram (ECG) and electroencephalogram (EEG) signals. …”
Get full text

Cross-attention swin-transformer for detailed segmentation of ancient architectural color patterns by Lv Yongyin, Yu Caixia

“…These methods struggle with balancing precision and computational efficiency, especially when dealing with complex patterns and high-resolution images.MethodsTo address these limitations, we propose a novel segmentation model that integrates a hierarchical vision transformer backbone with multi-scale self-attention, cascaded attention decoding, and diffusion-based robustness enhancement. …”
Get full text

Evaluation of Feature Transformation and Machine Learning Models on Early Detection of Diabetes Mellitus by Ahmed Ali Linkon, Inshad Rahman Noman, Md Rashedul Islam, Joy Chakra Bortty, Kanchon Kumar Bishnu, Araf Islam, Rakibul Hasan, Masuk Abdullah

“…The increasing prevalence of diabetes necessitates the development of effective early detection methods to mitigate its health impacts. This paper investigates the impact of feature transformation and machine learning (ML) models on the early detection of diabetes using a binary tabular classification dataset. …”
Get full text

Spatio-temporal transformer and graph convolutional networks based traffic flow prediction by Jin Zhang, Yimin Yang, Xiaoheng Wu, Sen Li

“…Firstly, most current methods rely on Graph Convolutional Networks (GCNs) to extract spatial correlations, typically using predefined adjacency matrices. …”
Get full text

Text2Layout: Layout Generation From Text Representation Using Transformer by Haruka Takahashi, Shigeru Kuriyama

“…Recent advanced Text-to-Image methods still require much work to specify all labels and detailed layouts of objects to obtain an accurate planned image. …”
Get full text

Combination of Fourier Transform Infrared (FTIR) with chemometrics for halal authentication of face mask products made from gelatin by Nina Salamah, Rabiatul Adawiyah, Any Guntarti, Hari Susanti

“…The supernatant obtained was then analyzed using the Fourier transform infrared (FTIR) method to determine the absorbance value and wave number. …”
Get full text

TRANSFORMATION OF CHAN-BUDDHIST MOTIFS IN MONASTERY POETRY OF THE SONG DYNASTY (GENDER ASPECT) by Anna V. Ryzhkova

“…To achieve this goal, several methods were used – hermeneutic, historical and cultural, historical and literary, comparative methods as well as semantic and poetical analysis. …”
Get full text

Eugene Onegin Film Adaptations: The Loss or Transformation of Alexander Pushkin’s Poetic Code? by S. V. Rudakova

“…The author used the semiotic approach, as well as comparative, cultural-semiotic, descriptive, and intertextual methods, to study the transformation of Pushkin’s poetic code on different levels in the context of its visual interpretations. …”
Get full text

Participatory democracy and civil society: Transforming societal decision-making in the information age by Auli Keskinen

“…Keskinen, having argued for the creation of a decision-making Network, argues for the adoption of enhancing the publicity and promoting a suitable setting for the dialogue to develop; therefore, she describes different methods which work for the later conclusion that teledemocracy is a type, a model, of deliberative democracy. …”
Get full text

Compositional transformations can reasonably introduce phenotype-associated values into sparse features by George I. Austin, Tal Korem

“…Microbiome data are multivariate, and as such, a value of 0 carries a different meaning for each sample. Many transformations, including CLR and other batch-correction methods, are likewise multivariate, and, as these issues demonstrate, each individual feature should be interpreted with caution.IMPORTANCEGihawi et al. claim that finding that a transformation turned highly sparse (mostly zero) features into features that are associated with a phenotype is sufficient to conclude that there is information leakage and to invalidate an analysis. …”
Get full text

Hyperspectral Image Classification With Re-Attention Agent Transformer and Multiscale Partial Convolution by Junding Sun, Hongyuan Zhang, Jianlong Wang, Haifeng Sima, Shuanggen Jin

“…Compared with the latest CNN-Transformer related method DBCTNet, the proposed method achieves improvements of 1.36%, 0.68%, and 1.38% in overall accuracies, respectively.…”
Get full text

Balancing innovation and accountability: AI’s transformative influence on logistics in G20 nations by Ya Li, Zheng Guangwen

Get full text

Schleichera oleosa (Kusum) leaf extract mediated green synthesis of bimetallic Ag-Fe nanoparticles: in-vitro evaluation of antimicrobial and antioxidant activities by Divyanshu Singh, Dimpi Gupta, Ankit Tiwari, Jai Naik, Farheen Quraishi, Rajat Pratap Singh, Sunil Kumar Singh, Ashish Kumar Singh

“…Furthermore, Fourier Transform Infrared Spectroscopy was utilized to recognize the specific functional groups associated with phytochemicals which is responsible for the enhanced stability and biological activity of nanoparticles. …”
Get full text

From Image to Sequence: Exploring Vision Transformers for Optical Coherence Tomography Classification by Amirali Arbab, Aref Habibi, Hossein Rabbani, Mahnoosh Tajmirriahi

“…Methods: This paper introduces a novel hybrid model that integrates the strengths of convolutional neural networks (CNNs) and vision transformer (ViT) to overcome these obstacles. …”
Get full text

WIDEBAND TRANSFORMER FOR MATCHING OF LOW-IMPEDANCE LOADS IN VERY HIGH FREQUENCY RANGE by N. M. Naumovich, A. P. Joubko, M. V. Davydov, O. S. Maltsev

“…The reason of that is an impossibility of appliance standard methods with using a network vector analyzer. The prototyping was done and values of the standing wave ratio and inserting losses were obtained for different levels of the input power. …”
Get full text

Transformation of Water Services: Lessons Learned from Water Privatization in Multiple Countries by Mikail Pehlivan, Nazan Susam

“…This study, which follows the literature review method, aims to examine the reasons underlying the privatization of water services as well as the privatization practices implemented in different countries. …”
Get full text

Detection and classification of ChatGPT-generated content using deep transformer models by Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer, Kshipra Dhame, Gayathri Singaram

“…We assessed the efficacy of different models in detecting and classifying AI-generated content, with a particular focus on transformer-based architectures.ResultsExperimental results demonstrate that the proposed RoBERTa-based custom deep learning model achieved an F1-score of 0.992 and an accuracy of 0.991, followed by DistilBERT, which yielded an F1-score of 0.988 and an accuracy of 0.988. …”
Get full text

Streamlining a Patchwork - Exploring the Challenges of Digital Transformation in Pathology: Ethnographic Study by Birte Linny Geisler, Ourania Amperidou, Sina Patricia Pauly, Sven Mattern, Christian M Schürch, Claudia Hermann, Christiane Stoffregen, Ilona Steinleitner, Natali Paigin, Claudia Lamß, Falko Fend, Monika A Rieger, Esther Rind, Christine Preiser

“…Data were collected in 3 field phases between July 2022 and December 2023, representing different stages of the digital transformation. Data were analyzed using the reflexive thematic analysis method of Braun and Clarke. …”
Get full text

Encrypted and Hiding Information in Digital Images using Wavelet Transformation and LSB Technology by Ahmed Saleh Al-Badrani

“…This research provides a way to hide data (which is a text file) after is encrypted adoption method (Keyword Mixed Transposition) to produce cipher text is included in Low–High coefficient wavelet transform and get a good quality image and the possibility of recovering fully embedded message and decoded without relying on the original image. …”
Get full text

Integrating AI in higher education: transforming teachers' roles in boosting student agency by Devi Prasad Adhikari, Gopal Prasad Pandey

“…A sequential mixed method was used as the design of the study. A survey using a five-point Likert scale was conducted to analyse the roles of teachers in the context of integrating AI to enhance agency in higher education. …”
Get full text