Analysis and Enhancement of Resilience for LSTM Accelerators Using Residue-Based CEDs by Nooshin Nosrati, Zainalabedin Navabi

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ASLDetect: Arabic sign language detection using ResNet and U-Net like component by Naif Alasmari, Sultan Asiri

“…Our method includes preprocessing steps like resizing images to 64 $$\times$$ × 64 pixels, normalization, and selective augmentation to improve robustness in diverse environments. …”
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A Novel Methodology for the Automatic Decomposition of HAWT Wakes With K‐Means Clustering by Lorenzo Tieghi, Davide Cerbarano, Filippo De Girolamo, Valerio Francesco Barnabei, Giovanni Delibra

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Integrative phenomics, metabolomics and genomics analysis provides new insights for deciphering the genetic basis of metabolism in polished rice by Hui Feng, Yufei Li, Guoxin Dai, Zhuang Yang, Jingyan Song, Bingjie Lu, Yuan Gao, Yongqi Chen, Jiawei Shi, Luis A. J. Mur, Lejun Yu, Jie Luo, Wanneng Yang

“…Results We propose a relatively inexpensive approach for metabolomics analysis in which metabolomics is combined with hyperspectral imaging via machine learning. This approach can be used to target important steps in flavonoid and lipid biosynthesis in rice. …”
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Three-Dimensional Landing Zone Segmentation in Urbanized Aerial Images from Depth Information Using a Deep Neural Network–Superpixel Approach by N. A. Morales-Navarro, J. A. de Jesús Osuna-Coutiño, Madaín Pérez-Patricio, J. L. Camas-Anzueto, J. Renán Velázquez-González, Abiel Aguilar-González, Ernesto Alonso Ocaña-Valenzuela, Juan-Belisario Ibarra-de-la-Garza

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Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models by Ru Miao, Kai Yang, Ke Zhou, Jia Song, Shihao Fu, Cong Liu, Yuanxing Wang

“…In remote sensing image (RSI) super-resolution (SR), traditional deep learning methods have made remarkable progress. However, these methods struggle to handle the complex mapping between cross-sensor images. …”
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Impact analysis of Covid 19 pandemic from the cholera epidemic experiences in Bangladesh by Pulak Mutsuddy, Mohammed Abdus Salam, Prudence Hamade

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ChatGPT in Physics Education: A Content-Based Analysis on Newtonian Force Problems by Ni Nyoman Sri Putu Verawati, Wahyudi Wahyudi, Nina Nisrina, Muhammad Asy'ari

“…The integration of artificial intelligence (AI) in education has significantly transformed learning environments, particularly through the use of large language models (LLMs) such as ChatGPT. …”
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Data Mining to Identify the Right Interventions for the Right Patient for Heart Failure: A Real-World Study by Keni Lee, Ramzi Argoubi, Halley Costantino

“…Objectives To identify the right interventions for the right heart failure (HF) patients in the real-world setting using machine learning (ML) trained on individual-level clinical data linked with social determinants of health (SDOH) data. …”
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Estimating Gait Speed in the Real World With a Head-Worn Inertial Sensor by Paolo Tasca, Francesca Salis, Samanta Rosati, Gabriella Balestra, Claudia Mazza, Andrea Cereatti

“…This study aimed at validating a two-steps machine learning method to estimate initial contacts and stride-by-stride speed in real-world gait using a single inertial sensor attached to the temporal region. …”
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SDDT-SR: A Scale-Decoupling Super-Resolution Network With Domain Transfer for Heterogeneous Images by Simin Lin, Jiangdi Ru, Jiaqi Li, Keyao Wen, Mengxi Liu, Qian Shi

“…The SDDT-SR breaks down the large-scale SSR (x8) into two cascaded smaller-scale steps (x2, x4), progressively restoring spatial details of the images. …”
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Prediction of Total Soluble Solids in Apricot Using Adaptive Boosting Ensemble Model Combined with NIR and High-Frequency UVE-Selected Variables by Feng Gao, Yage Xing, Jialong Li, Lin Guo, Yiye Sun, Wen Shi, Leiming Yuan

“…This study develops an advanced framework integrating adaptive boosting (Adaboost) ensemble learning with high-frequency spectral variables selected by uninformative variable elimination (UVE) for the rapid non-destructive detection of fruit quality. …”
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Multimodal GeoAI: An integrated spatio-temporal topic-sentiment model for the analysis of geo-social media posts for disaster management by David Hanny, Bernd Resch

“…However, workflows are traditionally sequential with independent processing steps, limiting their ability to capture interconnections between modalities and risking chains of dependencies. …”
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Analysis of fault detection and defect categorization in photovoltaic inverters for enhanced reliability and efficiency in large-scale solar energy systems by Malik Stephanie, Daßler David, Patel Dharm, Klute Carola, Klengel Robert, Dietrich Andreas, Kaufmann Kai, Hennig Carsten, Wehnert Danny, Ebert Matthias

“…This process was carried out in three steps: predicting the normal behaviour of the inverter, distinguishing between normal behaviour and anomalous behaviour, and differentiating the anomalous behaviour. …”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

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Cauliflower leaf diseases: A computer vision dataset for smart agricultureMendeley Data by Sabbir Hossain Durjoy, Md. Emon Shikder, Md Mehedi Hasan Shoib, Md Hasan Imam Bijoy

“…To enhance the data quality, we used several steps to process the dataset, making sure it would reflect real-world conditions and be ready for training. …”
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Unsupervised clustering for sepsis identification in large-scale patient data: a model development and validation study by Na Li, Kiarash Riazi, Jie Pan, Kednapa Thavorn, Jennifer Ziegler, Bram Rochwerg, Hude Quan, Hallie C. Prescott, Peter M. Dodek, Bing Li, Alain Gervais, Allan Garland

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Conceptual and Applied Changes in the Approach to Well-being at School- Systematic Literature Review by Katalin BORBÁTH, Attila Czabaji HORVÁTH

“…The paper also focuses on examples of studies of the concept of well-being, narrowing step by step to the psychological, especially the social and the subjective well-being concepts. …”
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Text Classification of News Using Transformer-based Models for Portuguese by Isabel N. Santana, Raphael S. Oliveira, Erick G. S. Nascimento

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Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data by Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari

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