LSTGINet: Local Attention Spatio-Temporal Graph Inference Network for Age Prediction by Yi Lei, Xin Wen, Yanrong Hao, Ruochen Cao, Chengxin Gao, Peng Wang, Yuanyuan Guo, Rui Cao

“…We use a newly designed weighted loss function to supervise the learning of the entire prediction framework to strengthen the inference process of spatio-temporal correlation. …”
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PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

“…Today, deep learning is arguably the most powerful method for predicting RSA and other structural features of proteins. …”
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Ways to improve the educational process of a university through a project approach by Victor Vasilyevich Babenko, Emin Zafar Yagubov

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Distinctive Contribution of Sound Spectral Features in Enhancing Vibration-Based Multi-Component Fault Classification Under Non-Stationary Speed Conditions by S. Sowmya, M. Saimurugan, Naveen Venkatesh

“…To begin with, speed synchronizing instantaneous frequency (IF) with two signal envelopes of vibration signals are individually fed to the machine learning (ML) classifier, such as Decision Tree (DT), Support Vector Machine-Radial Basis Function (SVM-RBF), and Artificial Neural Network (ANN), to verify the model performance. …”
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Optimizing 5G resource allocation with attention-based CNN-BiLSTM and squeeze-and-excitation architecture by Anfal Musadaq Rayyis, Mohammad Maftoun, Maryam Khademi, Emrah Arslan, Silvia Gaftandzhieva

“…IntroductionThe swift advancement of computational capabilities has rendered deep learning indispensable for tackling intricate challenges. …”
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Tapping line detection and rubber tapping pose estimation for natural rubber trees based on improved YOLOv8 and RGB-D information fusion by Yaya Chen, Hui Yang, Junxiao Liu, Zhifu Zhang, Xirui Zhang

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An Adaptive Weight Physics-Informed Neural Network for Vortex-Induced Vibration Problems by Ping Zhu, Zhonglin Liu, Ziqing Xu, Junxue Lv

“…The Physics-Informed Neural Network (PINN), a subfield of DL, introduces physics equations into the loss function to reduce the need for large data. Nevertheless, PINN loss functions often include multiple loss terms, which may interact with each other, causing imbalanced training speeds and a potentially inferior overall performance. …”
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Ensemble Network Graph-Based Classification for Botnet Detection Using Adaptive Weighting and Feature Extraction by Muhammad Aidiel Rachman Putra, Tohari Ahmad, Dandy Pramana Hostiadi, Royyana Muslim Ijtihadie

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Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method by Muhammad Mubeen, Aliza Muskan, Arslan Akram, Javed Rashid, Tagrid Abdullah N. Alshalali, Nadeem Sarwar

“…The framework uses term frequency–inverse document frequency (TF–IDF) extracted from tweet texts for which support vector machine (SVM), together with Random Forest, XGBoost, and Logistic Regression, base machine learning models function as classifiers. The final model outcome results from linking several base learning models into an ensemble configuration. …”
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Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation by Sabrina Zumbo, Stefano Mandija, Ettore F. Meliado, Peter Stijnman, Thierry G. Meerbothe, Cornelis A.T. van den Berg, Tommaso Isernia, Martina T. Bevacqua

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Exploring spatial reasoning performances of CNN on linear layout dataset by Jelena Pejic, Marko Petkovic, Sandra Klinge

“…Spatial reasoning, a fundamental aspect of human intelligence, is essential for machine learning models to understand and interpret object relationships. …”
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Application of andragogico-acmeological approach in preparation of teachers for using informatization by E. G. Skibitskiy, T. A. Astashova

“…Consequently, the tasks of preparing adults in the system of additional education need to be addressed in a comprehensive manner, taking into account the specifics of pedagogy, andragogy and acmeology. The main function of these sciences corresponds to the meaning inherent in their name - leading an adult person to the top of his development. …”
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MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

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Biophysical and computational insights from modeling human cortical pyramidal neurons by Sapir Shapira, Ido Aizenbud, Daniela Yoeli, Yoni Leibner, Huibert D. Mansvelder, Christiaan P. J. de Kock, Michael London, Michael London, Idan Segev, Idan Segev

“…To integrate and interpret this diverse data, two complementary modeling approaches have emerged: detailed biophysical models, unraveling how morpho-electrical properties shape signal processing in human neurons, and machine learning models, which leverage the biophysical models to uncover hidden structure–function relationships. …”
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Analyzing spatiotemporal variation in suspended particulate matter in lakes using remote sensing by WEI Junyan, ZHAO Yiming, HAO Yanling, JIA Xiaoxue, MA Xinyan

“…The accuracy of five machine learning inversion models - backpropagation (BP) neural network, convolutional neural network (CNN), random forest (RF), support vector machine (SVM), and radial basis function (RBF) neural network-was compared with that of traditional empirical models using Sentinel-2 MSI satellite data. …”
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Enhancing Human Detection in Occlusion-Heavy Disaster Scenarios: A Visibility-Enhanced DINO (VE-DINO) Model with Reassembled Occlusion Dataset by Zi-An Zhao, Shidan Wang, Min-Xin Chen, Ye-Jiao Mao, Andy Chi-Ho Chan, Derek Ka-Hei Lai, Duo Wai-Chi Wong, James Chung-Wai Cheung

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Shapley additive explanations based feature selection reveals CXCL14 as a key immune-related gene in predicting idiopathic pulmonary fibrosis by Bin Chen, Lu Huan, Junyu Lu, Jinhe Yuan

“…BackgroundIdiopathic pulmonary fibrosis (IPF) is a progressive lung disease marked by excessive fibrous tissue accumulation in the lung interstitium, leading to a gradual deterioration of respiratory function and significantly impairing patients’ quality of life. …”
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Voice as a biomarker: exploratory analysis for benign and malignant vocal fold lesions by Phillip Jenkins, Rylan Harrison, Steven Bedrick, Lisa Karstens, Bridge2AI-Voice Consortium, William Hersh, Yael Bensoussan, Olivier Elemento, Anais Rameau, Alexandros Sigaras, Satrajit Ghosh, Maria Powell, Vardit Ravitsky, Jean Christophe Belisle-Pipon, David Dorr, Phillip Payne, Alistair Johnson, Ruth Bahr, Donald Bolser, Frank Rudzicz, Jordan Lerner-Ellis, Kathy Jenkins, Shaheen Awan, Micah Boyer, William Hersh, Andrea Krussel, Steven Bedrick, Toufeeq Ahmed Syed, Jamie Toghranegar, James Anibal, Duncan Sutherland, Enrique Diaz-Ocampo, Elizabeth Silberhoz, John Costello, Alexander Gelbard, Kimberly Vinson, Tempestt Neal, Lochana Jayachandran, Evan Ng, Selina Casalino, Yassmeen Abdel-Aty, Karim Hanna, Theresa Zesiewicz, Elijah Moothedan, Emily Evangelista, Samantha Salvi Cruz, Robin Zhao, Mohamed Ebraheem, Karlee Newberry, Iris De Santiago, Ellie Eiseman, JM Rahman, Stacy Jo, Anna Goldenberg

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Digital Competence Profiles in Education by D. A. Vilyavin, N. V. Komleva, N. A. Mamedova, A. I. Urintsov

“…In combination with decentralized identification technologies, such software tools assume a more active role of the learner in the creation of his/her personal learning trajectory. Additional challenges for the developed software tools are the functional requirement to ensure the independence of learner profile data from individual educational services, while at the same time complying with the standards of information security of working with data. …”
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PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images by Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li

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