Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network by Ivan Jerković, Željana Bašić, Ivana Kružić

“…Abstract This study investigates a deep learning approach for sex estimation using 3D hyoid bone models derived from computed tomography (CT) scans of a Croatian population. …”
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A Study of Compressed Language Models in Social Media Domain by Linrui Zhang, Belinda Copus

“…Transfer learning from large-scale language models is witnessing incredible growth and popularity in natural language processing (NLP). However, operating these large models always requires a huge amount of computational power and training effort. …”
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Swin-Diff: a single defocus image deblurring network based on diffusion model by Hanyan Liang, Shuyao Chai, Xixuan Zhao, Jiangming Kan

“…Abstract Single Image Defocus Deblurring (SIDD) remains challenging due to spatially varying blur kernels, particularly in processing high-resolution images where traditional methods often struggle with artifact generation, detail preservation, and computational efficiency. …”
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Assessment of Age-related Histopathological Changes Occurring in the Lacrimal Gland of Aging Wistar Rats by Yu. P. Novikova, E. N. Grigoryan

“…Changes in the structure of ELGs were evaluated using methods of computer analysis of morphological patterns and quantitative data processing.Results. …”
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Medial Translation as a Form of Interaction Between Print and Electronic Literature: The Example of Iain Pears’ Arcadia by Erik György

“…Katherine Hayles, one of the first scholars to provide an overarching definition of what is known today as electronic literature (e-literature), called these forms ‘digital born,’ “first-generation digital object[s] created on a computer and (usually) meant to be read on a computer” (3). …”
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Prediction Errors but Not Sharpened Signals Simulate Multivoxel fMRI Patterns during Speech Perception. by Helen Blank, Matthew H Davis

“…By combining behavioural, univariate, and multivariate fMRI measures of how sensory detail and prior expectations influence speech perception with computational modelling, we provide evidence in favour of Prediction Error computations. …”
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The use of deep learning and artificial intelligence-based digital technologies in art education by Yali Liu, Can Zhu

“…For example, in image quality evaluation, CIC achieves high scores in clarity (0.89), detail performance (0.85), style consistency (0.87), and color accuracy (0.91). In terms of computational performance and resource consumption, CIC shows its superiority, with a training time of only 1500 s, memory consumption of 4.9GB, and a Graphics Processing Unit resource usage rate of 70%. …”
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The DRAGON benchmark for clinical NLP by Joeran S. Bosma, Koen Dercksen, Luc Builtjes, Romain André, Christian Roest, Stefan J. Fransen, Constant R. Noordman, Mar Navarro-Padilla, Judith Lefkes, Natália Alves, Max J. J. de Grauw, Leander van Eekelen, Joey M. A. Spronck, Megan Schuurmans, Bram de Wilde, Ward Hendrix, Witali Aswolinskiy, Anindo Saha, Jasper J. Twilt, Daan Geijs, Jeroen Veltman, Derya Yakar, Maarten de Rooij, Francesco Ciompi, Alessa Hering, Jeroen Geerdink, Henkjan Huisman, On behalf of the DRAGON consortium

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Amharic document clustering using semantic information from neural word embedding and encyclopedic knowledge by Dessalew Yohannes, Yenewondim Biadgie Sinshaw, Surafiel Habib Asefa, Yaregal Assabie

“…Amharic is the working language of Ethiopia, and its complex morphology, coupled with limited usable resources, makes the development of text processing applications for the language a challenging task. …”
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RSTHFS: A Rough Set Theory-Based Hybrid Feature Selection Method for Phishing Website Classification by Jahanggir Hossain Setu, Nabarun Halder, Ashraful Islam, M. Ashraful Amin

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Cultured Neural Networks: Optimization of Patterned Network Adhesiveness and Characterization of their Neural Activity by W. L. C. Rutten, T. G. Ruardij, E. Marani, B. H. Roelofsen

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Cancelable speaker identification system for the handicapped access to healthcare networks by Samia A. El-Moneim Kabel, Walid El-Shafai, Naglaa F. Soliman, Reem Alkanhel, Fathi E. Abd El-Samie

“…While these results demonstrate the potential effectiveness of the framework for securing networks through cancelable biometrics and fast processing time, the study does not include an evaluation of computational complexity and scalability in resource-constrained IoT environments. …”
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A Hybrid Neuro-Symbolic Pipeline for Coreference Resolution and AMR-Based Semantic Parsing by Christos Papakostas, Christos Troussas, Akrivi Krouska, Cleo Sgouropoulou

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Ensemble EfficientNet: a novel technique for identification, classification and prediction of diabetic retinopathy by Nilesh Shelke, Rachna Somkunwar, Amit Pimpalkar, Sudhanshu Maurya, Sharda Chhabria

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Acute ischemic stroke lesion segmentation in non-contrast CT images using 3D convolutional neural networks by A.V. Dobshik, S.K. Verbitskiy, I.A. Pestunov, K.M. Sherman, Yu.N. Sinyavskiy, A.A. Tulupov, V.B. Berikov

“…Robust pre-processing methods were implemented to improve the segmentation accuracy. …”
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AquaFlowNet a machine learning based framework for real time wastewater flow management and optimization by P. Prabu, Ala Saleh Alluhaidan, Romana Aziz, Shakila Basheer

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Flexible Capturing Application for Enhanced Generation of EPCIS Events by Fengjuan Jia, Seungwoo Jeon, Bonghee Hong, Joonho Kwon, Yoon-sik Kwak

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A Highly Accurate Adverse Drug Reactions (ADR) Detection from Medical Forum Comments Using Long Short-Term Memory Networks by Anjali Basagodu Veeresh, Ravikumar Guralamata Krishnegowda, Shashikala Salekoppalu Venkataramu

“…The texts from the dataset are pre-processed, and characteristics such as the semantic feature, text statics, and American Standard Code For Information Interchange (ASCII) array are extracted. …”
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R-RDSP: Reliable and Rapidly Deployable Wireless Ad Hoc System for Post-Disaster Management over DDS by Baber Jan, Adnan Munir, Ayaz H. Khan, Ajmal Khan, Basem Al-Madani

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A Unified Machine Learning Framework for Li-Ion Battery State Estimation and Prediction by Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas

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