Machine Learning Prediction of Airfoil Aerodynamic Performance Using Neural Network Ensembles by Diana-Andreea Sterpu, Daniel Măriuța, Grigore Cican, Ciprian-Marius Larco, Lucian-Teodor Grigorie

“…The novelty of this study lies in the demonstration that the same machine learning model, trained on identical data and architecture, can exhibit up to 250% variation in prediction error solely due to differences in random seed selection. …”
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Context-Aware Embedding Techniques for Addressing Meaning Conflation Deficiency in Morphologically Rich Languages Word Embedding: A Systematic Review and Meta Analysis by Mosima Anna Masethe, Hlaudi Daniel Masethe, Sunday O. Ojo

“…The results point to a sizable impact size, but the estimates are highly unclear, as evidenced by the huge standard error and non-significant <i>p</i>-value. The review concludes that although contextually aware embeddings have promise in treating Meaning Conflation Deficiency, there is a great deal of variability and uncertainty in the available data. …”
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Prediction of Rut Depth in Soil Caused by Wheels Using Artificial Neural Networks by N. Farhadi, A. Mardani, A. Hosainpour, B. Golanbari

“…Specifically, the root mean square error (RMSE) for the optimal MLP model, which utilized a learning rate of 0.001 and a momentum of 0.67, was 0.10. …”
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An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

“…It also outperformed individual models in error metrics, with a MAPE of 7.66% for (R) compared to 23.06% (TRF) and 29.42% (LRNN). …”
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Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…Generally, diagnosis requires expert supervision, but in recent times, the evolving emergence of machine intelligence and its widespread applications has necessitated the integration of machine intelligence with pathological expert supervision. …”
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StarNet: Indian star gooseberries dataset for quality and maturity assessment(Mendeley Data). by Pushpa B․ R․, Manohar N․, N. Shobha Rani

“…This publicly accessible dataset is expected to benefit the research community, enabling advancement in computer vision and AI Applications. It can be accessed at DOI: 10.17632/2255bdy9mm.1…”
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Unveiling construction accident causation: a scientometric analysis and qualitative review of research trends by Haoyu Zang, Ming Li, Zhiyao Jin, Jingfei Huang

“…These incidents arise from interlinked causal factors, including human error, management shortcomings, technical failures, and environmental conditions. …”
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An Analysis of WiFi Coverage Modeling for a Hotspot in the Parish of Checa Employing Deterministic and Empirical Propagation Models by Iván Sánchez, Fabricio Vallejo, Pablo Palacios Játiva, Ali Dehghan Firoozabadi

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A new 3D plastoelastohydrodynamic lubrication model for rough surfaces by Shengyu You, Jinyuan Tang, Qiang Wang

“…The new model eliminates an original error introduced by the assumption of semi-infinite space in contact calculation, providing wide applicability and high accuracy. …”
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Dynamic Modeling and Disturbance-Observer-Enhanced Control for Mecanum-Wheeled Vehicles Under Load and Noise Disturbance by Chensheng Li, Zhi Li

“…The proposed framework enhances trajectory tracking accuracy and stability, with potential applications in autonomous robotics and vehicular systems.…”
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Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods by R. Valbuena, M. Maltamo, P. Packalen

“…We observed that RF and NN had the most balanced error matrices, with cross-validated predictions which were mainly unbiased for all DCs. …”
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SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers by Stefan Baumgartner, Oliver Lang, Mario Huemer

“…SICNNv2 is more universal and is applicable as an equalizer in any communication system with a block-based data transmission scheme. …”
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Mathematical approach for rapid determination of pull-in displacement in MEMS devices by Yongcun Shao, Yutong Cui

“…Compared to traditional methods, this approach yields exact values rather than approximations, showcasing superior precision and efficiency.DiscussionThe proposed method offers significant advantages, including enhanced accuracy, reduced computational time, and minimized error accumulation by solving algebraic equations instead of iterating differential equations. …”
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Optimizing Photovoltaic Panel Performance: A Comparative Study of Meta-Heuristic Algorithms by M. Sundar Rajan

“…Our findings indicate that the HPSGWO algorithm achieves the lowest error rates and the highest efficiency, accuracy, and convergence speed across all tested PV models. …”
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Forecasting of Islamic Stock Index in Turkey with Deep Learning Using Index-Based Features by Dilşad Tülgen Çetin, Sedat Metlek

“…As a consequence of developments in artificial intelligence applications, deep learning methods show superior success compared to other methods in predicting financial data. …”
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Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis by Raja Waseem Anwar, Mohammad Abrar, Abdu Salam, Faizan Ullah

“…This study underscores the potential of FL-based systems to address key challenges in IoT security, including data privacy, scalability, and performance, making the proposed framework suitable for real-world IoT applications.…”
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Fabrication of PLA bio-composite reinforced with jute fiber and ESP fillers and optimization of mechanical properties via fuzzy logic approach by Efty Mahmud, Alberuni Aziz, Farjana Parvin

“…., minimizing the trial-and-error approach often seen in the industry Additionally, the fuzzy logic model enhances the ability to predict composite behavior. …”
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Multi-objective optimization of wear parameters of hybrid composites (LM6/B4C/fly ash) using grey relational analysis. by Charles Sarala Rubi, Jayavelu Udaya Prakash, Sunder Jebarose Juliyana, Sachin Salunkhe, Robert Cep, Emad Abouel Nasr

“…The responses have a narrow margin of error, according to confirmation studies. There exists a good agreement between them.…”
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Using a Bodily Weight-Fat Scale for Cuffless Blood Pressure Measurement Based on the Edge Computing System by Shing-Hong Liu, Bo-Yan Wu, Xin Zhu, Chiun-Li Chin

“…This proposed method significantly enhances the feasibility of bodily weight-fat scale in the BP measurement for effective utilization in mobile health applications.…”
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Improving High-Precision BDS-3 Satellite Orbit Prediction Using a Self-Attention-Enhanced Deep Learning Model by Shengda Xie, Jianwen Li, Jiawei Cai

“…Precise Global Navigation Satellite System (GNSS) orbit prediction is critical for real-time positioning applications. Current orbit prediction accuracy for the BeiDou Navigation Satellite System-3 (BDS-3) exhibits a notable disparity compared to GPS and Galileo, with limited advancements from traditional dynamic modeling approaches. …”
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