Spatially and temporally correlated channel estimation and detection for comparator network-aided MIMO receivers with 1-bit ADCs by Luiz Sampaio, Lukas T. N. Landau

“…Numerical simulations highlight a tenfold improvement in performance with respect to symbol error rate of a multi-user uplink MIMO system.…”
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Research on Hybrid Wind Speed Prediction System Based on Artificial Intelligence and Double Prediction Scheme by Ying Nie, He Bo, Weiqun Zhang, Haipeng Zhang

“…Regarding point prediction in the developed double prediction system, a novel nonlinear integration method based on a backpropagation network optimized using the multiobjective evolutionary algorithm based on decomposition was successfully implemented to derive the final prediction results, which enable further improvement of the accuracy of point prediction. …”
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Postsurgery Classification of Best-Corrected Visual Acuity Changes Based on Pterygium Characteristics Using the Machine Learning Technique by Fatin Nabihah Jais, Mohd Zulfaezal Che Azemin, Mohd Radzi Hilmi, Mohd Izzuddin Mohd Tamrin, Khairidzan Mohd Kamal

“…Conclusion. Machine learning algorithms can produce a highly accurate postsurgery classification model of BCVA changes using pterygium characteristics.…”
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A Novel Copula-Based Multi-Feature CFAR Framework for Radar Target Detection by Juan Li, Yunlong Dong, Ningbo Liu, Yong Huang, Xingyu Jiang, Jinping Sun

“…Multi-feature radar target detection enhances the discrimination between targets and clutter, thereby improving detection accuracy. However, the complex nonlinear dependencies among features present significant challenges for precise control of the false alarm rate (FAR). …”
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Ensemble Transformer–Based Detection of Fake and AI–Generated News by Md. Ishraquzzaman, Mohammed Ashraful Islam Chowdhury, Shahreen Rahman, Riasat Khan

“…The proposed ensemble model is optimized by applying model pruning (reducing parameters from 265M to 210M, improving training time by 25%) and dynamic quantization (reducing model size by 50%, maintaining 95.68% accuracy), enhancing scalability and efficiency while minimizing computational overhead. …”
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Topology optimization of a cargo gripper design using the minimum effort principle by Gnezdilov S.G.

“…The study emphasizes accounting for varied load scenarios (e.g., sheet tilting) for future refinement. It confirms the algorithm’s effectiveness in simplifying models and highlights iterative refinement for rational topology. …”
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Detection of communities with Naming Game-based methods. by Thais Gobet Uzun, Carlos Henrique Costa Ribeiro

“…Also, our model has shown a degree of accuracy both for non-overlapping and overlapping communities that are comparable with most algorithms specifically designed for topological community detection.…”
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Reducing bias in coronary heart disease prediction using Smote-ENN and PCA. by Xinyi Wei, Boyu Shi

“…This indicates that combining data balancing and feature dimensionality reduction techniques significantly improves model accuracy and makes the random forest model the best model. …”
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Inertial-Based Dual-Task Gait Normalcy Index at Turns: A Potential Novel Gait Biomarker for Early-Stage Parkinson’s Disease by Lin Meng, Xiaofei Zhang, Yu Shi, Xinge Li, Jun Pang, Lei Chen, Xiaodong Zhu, Rui Xu, Dong Ming

“…The factor of group and task on the GNI variable was investigated and the feasibility of GNI to improve early-stage PD diagnostic performance was validated. …”
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Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach. by Hamidreza Moradi, H Timothy Bunnell, Bradley S Price, Maryam Khodaverdi, Michael T Vest, James Z Porterfield, Alfred J Anzalone, Susan L Santangelo, Wesley Kimble, Jeremy Harper, William B Hillegass, Sally L Hodder, National COVID Cohort Collaborative (N3C) Consortium

“…Then, the most accurate model is utilized by eXplainable Artificial Intelligence (XAI) algorithms to provide insights about the learned treatment combination impacts on the model's final outcome prediction.…”
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Simulation of Land Use and Land Cover Using the MOLUSCE Plugin Integrated with QGIS for the Western Himalayan Region of India by S. Kumari, S. Kumari, A. Roy

“…This calibration accounts for historical trends and transitions, thereby improving the model's predictive accuracy for future scenarios. …”
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Quantum-enhanced intelligent system for personalized adaptive radiotherapy dose estimation by Radhey Lal, Rajiv Kumar Singh, Dinesh Kumar Nishad, Saifullah Khalid

“…The system efficiently models radiation transport and predicts patient-specific dose distributions by integrating quantum algorithms, deep learning, and Monte Carlo simulations. …”
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Fading Characteristics of Wireless Channel on High-Speed Railway in Hilly Terrain Scenario by Fengyu Luan, Yan Zhang, Limin Xiao, Chunhui Zhou, Shidong Zhou

“…With the numerical results in the measurement and analysis, the fading characteristics have been revealed and modelled. It is supposed that this work has a promotion for HSR communication system design and improvement.…”
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Does a Meta-Combining Method Lead to More Accurate forecasts in the decision-making process? by Emrah Gulay, Serkan Aras

“…To improve forecasting accuracy, researchers employed various combination techniques for a long time. …”
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Digital Control of an Inverted Pendulum Using a Velocity-Controlled Robot by Marco Costanzo, Raffaele Mazza, Ciro Natale

“…The proposed control solution explicitly models such effects in the control design phase, improving the closed-loop performance. …”
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Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition by Jeong-Il Byeon, Wookyung Lee, Jihoon Choi

“…Moreover, using both SAR modeling data and real SAR measurement data, the proposed scheme demonstrates significant improvements in reconstructed image quality compared to existing CS-SAR techniques.…”
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Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa by Tafadzwa Dzinamarira, Elliot Mbunge, Claire Steiner, Enos Moyo, Adewale Akinjeji, Kaunda Yamba, Loveday Mwila, Claude Mambo Muvunyi

“…Effective policy development is equally essential to establishing regulatory frameworks that ensure data security, algorithmic fairness, and ethical AI use. This comprehensive approach will not only improve the deployment of AI systems but also address the underlying issues that exacerbate AMR, such as unauthorized antibiotic sales and inadequate enforcement of guidelines. …”
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Generative and predictive neural networks for the design of functional RNA molecules by Aidan T. Riley, James M. Robson, Aiganysh Ulanova, Alexander A. Green

“…We pair these predictive models with generative adversarial RNA design networks (GARDN), allowing the generative modelling of a diverse range of functional RNA molecules with targeted experimental attributes. …”
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Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking by ZHANG Xulong, QU Xiaoyang, LI Pengcheng, XIAO Chunguang, WANG Jianzong

“…We also consider the impact of the attack layer on the invertible neural network in robustness training, improving the model to enhance both its reasonableness and stability. …”
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Invertible networks-based method with dual-embedding and attack layer for robust audio watermarking by ZHANG Xulong, QU Xiaoyang, LI Pengcheng, XIAO Chunguang, WANG Jianzong

“…We also consider the impact of the attack layer on the invertible neural network in robustness training, improving the model toenhance both its reasonableness and stability. …”
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