Segmentation of CAD models using hybrid representation by Claude Uwimana, Shengdi Zhou, Limei Yang, Zhuqing Li, Norbelt Mutagisha, Edouard Niyongabo, Bin Zhou

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Diagnosing autism spectrum disorders using a double deep Q-Network framework based on social media footprints by Nesren S. Farhah, Nesren S. Farhah, Ahmed Abdullah Alqarni, Ahmed Abdullah Alqarni, Nadhem Ebrahim, Sultan Ahmad, Sultan Ahmad

“…The improved prevalence of Internet use via computers or mobile devices presents an opportunity for social media to serve as a tool for the rapid and direct distribution of essential health information. …”
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Enhanced diabetic retinopathy detection using U-shaped network and capsule network-driven deep learning by Govindharaj I, Poongodai A, Gnanajeyaraman Rajaram, Santhakumar D, Ravichandran S, Vijaya Prabhu R, Udayakumar K, Yazhinian S

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A Generalized and Robust Nonlinear Approach based on Machine Learning for Intrusion Detection by Jakiur Rahman, Jaskaran Singh, Soumen Nayak, Biswajit Jena, Lopamudra Mohanty, Narpinder Singh, John R. Laird, Rajesh Singh, Deepak Garg, Narendra N. Khanna, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri

“…NLC provides generalized and robust solutions to detect intrusion attacks, ensuring the integrity and security of computer networks.…”
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Comprehensive evaluation of phosphoproteomic-based kinase activity inference by Sophia Müller-Dott, Eric J. Jaehnig, Khoi Pham Munchic, Wen Jiang, Tomer M. Yaron-Barir, Sara R. Savage, Martin Garrido-Rodriguez, Jared L. Johnson, Alessandro Lussana, Evangelia Petsalaki, Jonathan T. Lei, Aurelien Dugourd, Karsten Krug, Lewis C. Cantley, D. R. Mani, Bing Zhang, Julio Saez-Rodriguez

“…Abstract Kinases regulate cellular processes and are essential for understanding cellular function and disease. …”
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Using Machine Learning to Develop a Surrogate Model for Simulating Multispecies Contaminant Transport in Groundwater by Thu-Uyen Nguyen, Heejun Suk, Ching-Ping Liang, Yu-Chieh Ho, Jui-Sheng Chen

“…Traditional numerical models have been widely employed to simulate the transport of multispecies reactive contaminants in groundwater systems; however, their high computational cost limits their applicability in real-time or large-scale scenarios. …”
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Risk assessment in the operation of tunnel escalators, equipped with emergency brake with constant torque by Vatulin J.S., Popov V.A., Kozlov M.N.

“…The spectrum of probable emergency scenarios for escalators can be analyzed using a computational experiment based on a simulation model that describes the real properties (behavior) of an object in a number of key (reference) States. …”
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Efficient Structural Damage Detection with Minimal Input Data: Leveraging Fewer Sensors and Addressing Model Uncertainties by Fredi Alegría, Eladio Martínez, Claudia Cortés-García, Quirino Estrada, Andrés Blanco-Ortega, Mario Ponce-Silva

“…This study introduces an innovative computational method aimed at minimizing data requirements, reducing instrumentation costs, and functioning with fewer vibration modes. …”
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Recent advances in AI-based toxicity prediction for drug discovery by Hyundo Lee, Jisan Kim, Ji-Woon Kim, Yoonji Lee, Yoonji Lee

“…In drug discovery and development, these processes are often complex, time-consuming, and also resource-intensive. …”
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Patch-Based Oil Painting Forgery Detection Based on Brushstroke Analysis Using Generative Adversarial Networks and Depth Visualization by Elhamsadat Azimi, Amirsaman Ashtari, Jaehong Ahn

“…Art authentication has traditionally required deep expertise and knowledge of an artist’s work. Recently, computer vision algorithms have shown promise in image processing tasks; however, creating an automated model for painting authentication remains a challenge in art preservation and history. …”
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Using neural networks for near-real-time aerosol retrievals from OMPS Limb Profiler measurements by M. D. Himes, M. D. Himes, M. D. Himes, G. Taha, G. Taha, D. Kahn, T. Zhu, N. A. Kramarova

“…Near-real-time retrievals of aerosols produced by volcanic eruptions are particularly important for aviation safety, but the radiative transfer modeling of scattering processes performed by traditional retrieval methods can be too computationally expensive for near-real-time applications without simplifying assumptions, depending on the instrument and available computational resources. …”
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Hyperchaotic hashing: a chaotic hash function based on 2D linear cross-coupled map with parallel feedback structure by Hao Xing, Rudong Min, Shouliang Li, Zhen Yang, Yi Yang

“…A parallelizable structure is introduced, enhancing computational efficiency through concurrent processing of operational units. …”
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Vector Autoregressive Hierarchical Hidden Markov Models for Extracting Finger Movements Using Multichannel Surface EMG Signals by Nebojša Malešević, Dimitrije Marković, Gunter Kanitz, Marco Controzzi, Christian Cipriani, Christian Antfolk

“…The initial processing of the input data was oriented towards extracting relevant time domain features of the EMG signal. …”
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Clc-db: an open-source online database of chiral ligands and catalysts by Gufeng Yu, Kaiwen Yu, Xi Wang, Chenxi Zhang, Yicong Luo, Xiaohong Huo, Yang Yang

“…Recent advancements have demonstrated that computational methods, particularly machine learning, offer transformative potential by significantly accelerating these processes through enhanced prediction and modeling capabilities. …”
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AI-empowered online control optimization for enhanced efficiency and robustness of building central cooling systems by Lingyun Xie, Kui Shan, Hong Tang, Shengwei Wang

“…Key factors hindering implementation include computational efficiency requirements and concerns about reliability in online applications. …”
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Cortical thickness in brain imaging studies using FreeSurfer and CAT12: A matter of reproducibility by Maria de Fátima Machado Dias, Paulo Carvalho, Miguel Castelo-Branco, João Valente Duarte

“…However, neuroimaging studies often report divergent results, even for similar populations, thus it is important to determine whether this occurs as a result of different processing tools. Two of the most used tools are FreeSurfer and the Computational Anatomy Toolbox (CAT12). …”
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Concept for Parameter Design and Optimization of Surface Acoustic Wave Devices by A. S. Koigerov, A. V. Korlyakov

“…In the course of the work, mathematical processing and calculation were carried out in the MATLAB environment.Results. …”
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IMViT: Adjacency Matrix-Based Lightweight Plain Vision Transformer by Qihao Chen, Yunfeng Yan, Xianbo Wang, Jishen Peng

“…Transformers are becoming dominant deep learning backbones for both computer vision and natural language processing. While extensive experiments prove its outstanding ability for large models, transformers with small sizes are not comparable with convolutional neural networks in various downstream tasks due to its lack of inductive bias which can benefit image understanding. …”
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Hybrid incompressible SPH–machine learning approach for simulating natural convection in a porous intricate domain by Noura Alsedais, Abdelraheem M. Aly

“…The ISPH method is employed for numerical simulations, ensuring accuracy in handling fluid-porous interactions and phase change processes. Additionally, an ensemble machine learning model (Bagging Regression) is trained on ISPH-generated data to predict average Nusselt number (Nuavg) and average Sherwood number (Shavg) numbers, enhancing the computational efficiency of parametric studies. …”
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YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…The proposed YOLORM model has the potential to significantly enhance safety and efficiency in industrial production processes.…”
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