Leveraging Attribute Interaction and Self-Training for Graph Alignment via Optimal Transport by Songyang Chen, Youfang Lin, Ziyuan Zeng, Mengyang Xue

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Transition Control of a Rotary Double Inverted Pendulum Using Direct Collocation by Doyoon Ju, Taegun Lee, Young Sam Lee

“…To minimize energy consumption during the transition process while satisfying the boundary conditions of different equilibrium points, a two-point boundary value optimal control problem is formulated. …”
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Avoidance of energy hole problem based on feedback mechanism for heterogeneous sensor networks by Tang Liu, Jian Peng, Jin Yang, Guo Chen, Wenzheng Xu

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Total CAD/CAM Supported Method for Manufacturing Removable Complete Dentures by Arthur Furtado de Mendonça, Mario Furtado de Mendonça, George Shelby White, Georges Sara, Darren Littlefair

“…The incorporation of computer-aided design/computer-aided manufacturing (CAD/CAM) technology into complete denture fabrication brings about several advantages to the fabrication process, providing better predictability of the desired outcomes and high accuracy of denture fit, mainly because the milling of prepolymerized acrylic resin eliminates the shrinkage of the acrylic base. …”
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Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and ResNet50 by Rabei Raad Ali, Noorayisahbe Mohd Yaacob, Marwan Harb Alqaryouti, Ala Eddin Sadeq, Mohamed Doheir, Musab Iqtait, Eko Hari Rachmawanto, Christy Atika Sari, Siti Salwani Yaacob

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Predictive analytics technique based on hybrid sampling to manage unbalanced data in smart cities by Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya, Mohd Anul Haq, Mohammed Aleisa, Abdullah Alenizi, Arfat Ahmad Khan, Piyush Kumar Shukla

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A graphical user interface for wrmXpress 2.0 streamlines helminth phenotypic screening by Zachary Caterer, Rachel V. Horejsi, Carly Weber, Blake Mathisen, Chase N. Nelson, Maggie Bagatta, Ireland Coughlin, Megan Wettstein, Ankit Kulshrestha, Hui Siang Benjamin Lee, Leonardo R. Nunn, Mostafa Zamanian, Nicolas J. Wheeler

“…The development of efficient, performant computer and graphical processing units for personal computers and cheaper imaging solutions has made the requirement of remote servers superfluous for many small to medium-scale screens, but most analytical software still require interaction with a CLI. …”
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Advances in the Study of Protein Deamidation: Unveiling Its Influence on Aging, Disease Progression, Forensics and Therapeutic Efficacy by Sunil S. Adav

“…Protein deamidation, a nonenzymatic post-translational modification that converts asparagine and glutamine residues into their acidic forms, such as aspartic acid, iso-aspartic acid, or glutamic acid, has emerged as a pivotal process affecting protein stability and function. …”
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Dataset of microscale atmospheric flow and pollutant concentration large-eddy simulations for varying mesoscale meteorological forcing in an idealized urban environmentZenodo by Eliott Lumet, Thomas Jaravel, Mélanie C. Rochoux

“…However, CFD models are very expensive and require intensive computing resources, which can hinder their systematic use in practical engineering applications. …”
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Qualitative evaluation of the implementation and national roll-out of the NHS App in England by Claire Reidy, Chrysanthi Papoutsi, Sukriti KC, Bernard Gudgin, Anthony A. Laverty, Felix Greaves, John Powell

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Cross-border mangrove dynamics and management in the Beibu Gulf: Long-term remote sensing observation using object-oriented deep learning by Wenna Gao, Chunyan Lu, Nuocheng Yang, Yuqi Wu, Kexin Wu, Zhangjuan Chen

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Cascaded lattice Boltzmann simulation of Newtonian and non-Newtonian mixture nanofluids with variable thermophysical properties in a cavity with vertical heat radiator by Md. Mamun Molla, Amzad Hossain, Md. Mahadul Islam

“…The central moments-based cascaded lattice Boltzmann method (CLBM) for then Newtonian and non-Newtonian Buongiorno’s model mixture nanofluids (CuO, ZnO, Al2O3-water) has been implemented and applied in a square chamber with a vertical heat radiator using accelerated graphics processing unit (GPU) computing through compute unified device architecture (CUDA) C/C++ platform. …”
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Sistem Deteksi Myocardial Infarction Berdasarkan Pathological Q Waves Dan ST Segment Elevation Menggunakan Metode Support Vector Machine by Ragil Hadi Prasetyo, Edita Rosana Widasari, Agung Setia Budi

“…Then the signal read by the sensor is processed in the Arduino Uno and is classified and displays the result on a 16x2 LCD as an output. …”
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Integrating Machine Learning and Deep Learning for Predicting Non-Surgical Root Canal Treatment Outcomes Using Two-Dimensional Periapical Radiographs by Catalina Bennasar, Antonio Nadal-Martínez, Sebastiana Arroyo, Yolanda Gonzalez-Cid, Ángel Arturo López-González, Pedro Juan Tárraga

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Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

“…Abstract Today deep learning technology is often associated with reliable processes (methods) when we have large amounts of data. …”
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Wheat Straw Biochar Amendment Increases Salinity Stress Tolerance in Alfalfa Seedlings by Modulating Physiological and Biochemical Responses by Shangzhi Zhong, Pengxin Hou, Congcong Zheng, Xuechen Yang, Qibo Tao, Juan Sun

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Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…This work advances emotion recognition systems by addressing challenges in EEG signal processing, feature extraction, and model generalization, positioning it as a promising tool for applications in healthcare, affective computing, and emotional state analysis.…”
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Co‐Design of the Structured Personalised Assessment for Reviews After Cancer (SPARC) Intervention by Rosalind Adam, Lisa Duncan, Sara MacLennan, Louise Locock, Anne E. Kiltie, Leslie Samuel, Peter Murchie

“…Methods Two co‐design workshops were held with patients, clinicians (including oncologists, general practitioners and nurses), digital/computing science experts and third‐sector representatives. …”
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Subtidal seagrass and blue carbon mapping at the regional scale: a cloud-native multi-temporal Earth Observation approach by Mar Roca, Chengfa Benjamin Lee, Avi Putri Pertiwi, Alina Blume, Isabel Caballero, Gabriel Navarro, Dimosthenis Traganos

“…Our synoptic tool uses Sentinel-2 A/B satellite imagery at 10 m spatial resolution to generate a multi-temporal composite (2016–2022) of the Balearic Islands’ coastal waters within the Google Earth Engine cloud computing platform, optimizing image processing and highlighting the importance of a high-resolution bathymetric dataset to increase seagrass mapping accuracies. …”
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UAV-StrawFire: A visible and infrared dataset for real-time straw-fire monitoring with deep learning and image fusion by Xikun Hu, Ya Jiang, Xiaoyan Xia, Chen Chen, Wenlin Liu, Pengcheng Wan, Kangcheng Bin, Ping Zhong

“…This study addresses three key machine learning tasks using the dataset: (1) flame detection, achieved through a feature-based multi-modal image fusion model (FF-YOLOv5n) reaching a mAP50-95 of 0.5764; (2) flame segmentation, which delineates fire boundaries using the real-time lightweight BiSeNetV2 model, achieving a high mean Intersection over Union (mIoU) score exceeding 0.88; and (3) flame tracking, which monitors the real-time progression of straw burning with a precision of 0.9065 and a success rate of 0.6593 using the Aba-ViTrack algorithm, suitable for on-board processing on UAVs at 50 frames per second (FPS). These experiments provide efficient baseline models for UAV-based straw-burning monitoring with edge computing capabilities. …”
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