Automated Defect Detection through Flaw Grading in Non-Destructive Testing Digital X-ray Radiography by Bata Hena, Gabriel Ramos, Clemente Ibarra-Castanedo, Xavier Maldague

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Lossless Compression Framework Using Lossy Prior for High-Resolution Remote Sensing Images by Enjia Gu, Yongshan Zhang, Xinxin Wang, Xinwei Jiang

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Better Skeleton Better Readability: Scene Text Image Super-Resolution via Skeleton-Aware Diffusion Model by Shrey Singh, Prateek Keserwani, Partha Pratim Roy, Rajkumar Saini

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Novel Frame Buffer Pixel Circuits and Silicon Backplane Development for Polarization-Independent LCOS by Qirui Zhang, Isaac Zachmann, Lianhua Ji, Chongchang Mao

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A Chronic Kidney Disease Diagnostic Model Based on an Interpretable Deep Belief Rule Base by Yawen Zhao, Kexin Zhang, Xiping Duan, Shuping Che, Ning Ma

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Medical Image Segmentation for Anomaly Detection Using Deep Learning Techniques by Bibat Thokar, Binod Sapkota, Babu R. Dawadi, Shashidhar R. Joshi

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IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition by Mashael Maashi, Huda G. Iskandar, Mohammed Rizwanullah

“…Furthermore, the improved MobileNetV3 model is employed for the feature extraction process. Moreover, the convolutional neural network with a bidirectional gated recurrent unit and attention (CNN-BiGRU-A) model classifier is implemented for the SLR process. …”
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Bioethanol Production from Stalk Residues of Chiquere and Gebabe Varieties of Sweet Sorghum by Nitin Mahendra Chauhan, Sunil Tulshiram Hajare, Buzuayehu Mamo, Abreham Assefa Madebo

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Database Constraints Applied to Metabolic Pathway Reconstruction Tools by Jordi Vilaplana, Francesc Solsona, Ivan Teixido, Anabel Usié, Hiren Karathia, Rui Alves, Jordi Mateo

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Soulbound Tokens: Enabler for Privacy-Aware and Decentralized Authentication Mechanism in Medical Data Storage by Biagio Boi, Franco Cirillo, Marco De Santis, Christian Esposito

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Semi-Supervised Change Detection with Data Augmentation and Adaptive Thresholding for High-Resolution Remote Sensing Images by Wuxia Zhang, Xinlong Shu, Siyuan Wu, Songtao Ding

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The Analysis of Working Possibilities of a Power Shovel by W. Gierulski, L. Płonecki, J. Cendrowicz

“… The calculation of the forces acting on the bucket during the excavation process is described in the paper. The knowledge of these forces is needed for the automation of the shovel. …”
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Impact of land use/land cover changes on evapotranspiration and model accuracy using Google Earth engine and classification and regression tree modeling by Chaitanya B. Pande, Pranaya Diwate, Israel R. Orimoloye, Lariyah Mohd Sidek, Arun Pratap Mishra, Kanak N. Moharir, Subodh Chandra Pal, Fahad Alshehri, Abebe Debele Tolche

“…These accurate LULC maps can aid in the development of hydrological models, forecasting, and decision-making processes, ultimately contributing to more effective water resource management and environmental conservation. …”
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Improving thermal state preparation of Sachdev–Ye–Kitaev model with reinforcement learning on quantum hardware by Akash Kundu

“…However, variationally preparing thermal states on near-term quantum processors for large systems ( N  > 12, where N is the number of Majorana fermions) presents a significant challenge due to the rapid growth in the complexity of parameterized quantum circuits. …”
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Analysis of Blockchain-Technology by Danylo Dvorchuk, Iryna Shpinareva

“…Furthermore, Layer 1 improvements, including sharding, enhance on-chain transaction processing, while Layer 2 solutions, such as optimistic rollups and zero-knowledge rollups, significantly increase throughput by offloading computations to secondary layers. …”
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Lightweight coal miners and manned vehicles detection model based on deep learning and model compression techniques: A case study of coal mines in Guizhou region by Beijing XIE, Heng LI, Zheng LUAN, Zhen LEI, Xiaoxu LI, Zhuo LI

“…The average detection accuracy is 88.7%, an improvement of 1.1%, with a processing speed of only 5.6ms per image. Compared to various lightweight architectures and advanced detection models, this method demonstrates excellent accuracy, lower computational costs, and better real-time performance, providing a feasible coal mine pedestrian-vehicle detection method for resource-constrained coal mine scenarios, meeting the deployment requirements of coal mine video surveillance and enabling real-time alerts for intelligent inspection of coal mine pedestrian-vehicles.…”
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Synergistic use of multi-sensor satellite data for mapping crop types and land cover dynamics from 2021 to 2023 in Northeast Thailand by Savittri Ratanopad Suwanlee, Surasak Keawsomsee, Emma Izquierdo-Verdiguier, Álvaro Moreno-Martínez, Sarawut Ninsawat, Jaturong Som-ard

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Hybrid Deep Learning and Fuzzy Matching for Real-Time Bidirectional Arabic Sign Language Translation: Toward Inclusive Communication Technologies by Mogeeb A. A. Mosleh, Ahmed A. A. Mohammed, Ezzaldeen E. A. Esmail, Rehab A. A. Mohammed, Basheer Almuhaya

“…Existing tools mainly focus on one-way translation and are limited by small vocabulary datasets, require significant computational power, and often lack a real-time implementation. …”
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PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning by Bian Li, Shukun Luo, Wenhua Wang, Jiahui Xu, Dingjiang Liu, Mohammed Shameem, John Mattila, Matthew C. Franklin, Peter G. Hawkins, Gurinder S. Atwal

“…The ability to evaluate developability properties early in the process of antibody therapeutic development could accelerate the timeline from discovery to clinic and save considerable resources. …”
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On the hybridization of double-flush riveting with adhesive bonding by Alpendre João M. B., Rosado Pedro M. S., Sampaio Rui F. V., Pragana João P. M., Bragança Ivo M. F., Silva Carlos M. A., Martins Paulo A. F.

“…This paper investigates the feasibility of combining the principles of a novel joining-by-forming process, known as double-flush riveting, with those of adhesive bonding to produce hybrid joints with enhanced characteristics. …”
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