Can heart rate sequences from wearable devices predict day-long mental states in higher education students: a signal processing and machine learning case study at a UK university by Tianhua Chen

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Joint safety and security risk analysis in industrial cyber‐physical systems: A survey by Zhicong Sun, Guang Chen, Yulong Ding, Shuang‐Hua Yang

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Integrating Dynamical Systems Modeling with Spatiotemporal scRNA-Seq Data Analysis by Zhenyi Zhang, Yuhao Sun, Qiangwei Peng, Tiejun Li, Peijie Zhou

“…Understanding the dynamic nature of biological systems is fundamental to deciphering cellular behavior, developmental processes, and disease progression. Single-cell RNA sequencing (scRNA-seq) has provided static snapshots of gene expression, offering valuable insights into cellular states at a single time point. …”
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Explorative Binary Gray Wolf Optimizer with Quadratic Interpolation for Feature Selection by Yijie Zhang, Yuhang Cai

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A memory model of rodent spatial navigation in which place cells are memories arranged in a grid and grid cells are non-spatial by David E Huber

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Design of Telecom Operators' Network Data Sharing Platform Based on Hadoop+MPP Architecture by Huang Xin, Xinghui Yi, Zhenyu Chen

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Overview of Radiological Reporting and Data System (RADS) Guidelines Currently Applicable in Surgery by Marco Parillo, Carlo Cosimo Quattrocchi

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A Literature Review on Artificial Intelligence in Dermatological Diagnosis and Tissue Microscopy by Paul-Vasile Vezeteu, Andrei-Daniel Andronescu, Dumitru-Iulian Nastac

“…Artificial Intelligence is reshaping dermatological diagnosis and dermatopathology by leveraging computer vision to enable innovative and effective medical approaches. …”
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Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

“…Potential applications include enhancing the accuracy of quality evaluation, and improving packaging processes, thereby enhancing overall lentil production efficiency. …”
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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

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ARUC-GAN: A CycleGAN-Based Attention Residual U-Net for Low-Dose CT Denoising in Smart Healthcare by Mohammad Mansour, Djamel Djenouri, Lobna A. Said, Shahid Latif, Ahmed Maalel, Ameer M. S. Abdelhadi

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SpinONN: energy efficient brain-inspired spintronics-based Hopfield oscillatory neural network for image denoising by Sandeep Soni, Yasser Rezaeiyan, Tim Boehnert, Hooman Farkhani, Ricardo Ferreira, Brajesh Kumar Kaushik, Farshad Moradi, Sonal Shreya

“…Finally, we demonstrate an image denoising application on the proposed SVNO-based HONN hardware-compatible accelerator using an image-splitting approach with parallel processing. The 32 × 32 street view house number image dataset is efficiently split into blocks and processed through the 16-SVNOs HONN design, dividing the image into 4 × 4 blocks. …”
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<i>Mathematical Linguistics</i> András Kornai (MetaCarta Inc.) Springer (Advanced information and knowledge processing series, edited by Lakhmi Jain), 2008, xiii+289 pp; ISBN 978-1... by Richard Sproat, Roxana Gîrju

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WISP: Workframe for Interferogram Signal Phase-Unwrapping by Timofey F. Khirianov, Aleksandra I. Khirianova, Egor V. Parkevich, Ilya Makarov

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Technical potential of the SAP HANA platform by M. A. Kovalyov

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A novel neuroimaging based early detection framework for alzheimer disease using deep learning by Areej Alasiry, Khlood Shinan, Abeer Abdullah Alsadhan, Hanan E. Alhazmi, Fatmah Alanazi, M. Usman Ashraf, Taseer Muhammad

“…The proposed deep learning model processes MRI and PET neuroimaging data, utilizing depthwise separable convolutions to enhance computational efficiency. …”
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The Creation of Artificial Data for Training a Neural Network Using the Example of a Conveyor Production Line for Flooring by Alexey Zaripov, Roman Kulshin, Anatoly Sidorov

“…As a tool-platform solution, the concept of digital twins for simulating technological processes was considered, within which synthetic data is utilized. …”
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Deep Learning for Atmospheric Modeling: A Proof of Concept Using a Fourier Neural Operator on WRF Data to Accelerate Transient Wind Forecasting at Multiple Altitudes by Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Victor Oliveira Santos, Bahram Gharabaghi

“…Variable selection played a key role, revealing that different physical processes dominate at various altitudes, necessitating distinct input features. …”
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Coverage estimation of benthic habitat features by semantic segmentation of underwater imagery from South-eastern Baltic reefs using deep learning models by Andrius Šiaulys, Evaldas Vaičiukynas, Saulė Medelytė, Kazimieras Buškus

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Advanced Artificial Intelligence Technologies Transforming Contemporary Pharmaceutical Research by Parveen Kumar, Benu Chaudhary, Preeti Arya, Rupali Chauhan, Sushma Devi, Punit B. Parejiya, Madan Mohan Gupta

“…One area of study within machine learning and artificial intelligence (AI) seeks to create computer programs with intelligence that can mimic human focal processes in order to produce results. …”
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