Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

“…These findings suggest that the proposed method can effectively predict tool wear in real-world CNC machining, contributing to improved production efficiency, reduced tool replacement frequency, and lower maintenance costs, thereby providing valuable insights for industrial applications.…”
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Enhancing Autonomous Driving in Urban Scenarios: A Hybrid Approach with Reinforcement Learning and Classical Control by Rodrigo Gutiérrez-Moreno, Rafael Barea, Elena López-Guillén, Felipe Arango, Fabio Sánchez-García, Luis M. Bergasa

“…Nevertheless, most of the solutions proposed by the scientific community encounter difficulties in real-world applications. This paper aims to provide a realistic implementation of a hybrid Decision Making module in an Autonomous Driving stack, integrating the learning capabilities from the experience of Deep Reinforcement Learning algorithms and the reliability of classical methodologies. …”
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Analysis of a multi-server retrial queue with a varying finite number of sources by Ciro D'Apice, Alexander Dudin, Sergei Dudin, Rosanna Manzo

“…This system is a more adequate model of many real-world systems than the standard finite source queue. …”
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HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning by Jinchen Sun, Haoran Zheng

“…Moreover, HDN-DDI exhibits substantial improvements in the cold-start setting with boosts of 4.96% in accuracy and 7.08% in F1 score on previously unseen drugs. Real-world applications further highlight HDN-DDI’s robust generalization capabilities towards newly approved drugs. …”
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On geometry of fixed figures via φ−interpolative contractions and application of activation functions in neural networks and machine learning models by Khairul Habib Alam, Yumnam Rohen, Anita Tomar, Mohammad Sajid

“…By challenging the conventional assumption of zero self-distance, we pave the way for more accurate mathematical models applicable to real-world scenarios. Consequently, our research contributes not only to a deeper comprehension of mathematical concepts but also to practical utility across various scientific domains. …”
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Real-Time Interference Mitigation for Reliable Target Detection with FMCW Radar in Interference Environments by Youlong Weng, Ziang Zhang, Guangzhi Chen, Yaru Zhang, Jiabao Chen, Hongzhan Song

“…Both simulated and real-world experiments demonstrate that the proposed method outperforms the state-of-the-art methods while achieving high processing speeds.…”
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Solving the fully fuzzy multi-choice linear programming model by Zahra Arami, Maryam Arabameri, Hassan Mishmast Nehi

“…Purpose: Fuzzy multi-choice problems are widely used in the real world in the fields of industry, agriculture, science, technology, etc. …”
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Generalized cross-entropy for learning from crowds based on correlated chained Gaussian processes by J. Gil-González, G. Daza-Santacoloma, D. Cárdenas-Peña, A. Orozco-Gutiérrez, A. Álvarez-Meza

“…Through extensive simulated and real-world experiments, CCGP-GCE demonstrated superior classification performance, outperforming state-of-the-art multilabeler models in terms of both accuracy and expert reliability estimation. …”
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A 0.002‐mm2 8‐bit 1‐MS/s low‐power time‐based DAC (T‐DAC) by Ali H. Hassan, Hassan Mostafa, Mohamed Refky, Khaled N. Salama, Ahmed M. Soliman

“…Abstract Digital‐to‐analogue converters (DACs) are essential blocks for interfacing the digital environment with the real world. A novel architecture, using a digital‐to‐time converter (DTC) and a time‐to‐voltage converter (TVC), is employed to form a low‐power time‐based DAC (T‐DAC) that fits low‐power low‐speed applications. …”
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Building a Framework for Visual Question Answering Systems by Maya Abu Hamoud, Wasim Safi

“…VQA systems represent a crucial step towards the development of advanced AI systems that bridge the gap between computer vision and human language understanding, fostering a deeper and more integrated interaction with the real world. This study aimed to thoroughly explore and analyze the methods and techniques used in visual question answering. …”
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Enhancing Sentiment Analysis and Rating Prediction Using the Review Text Granularity (RTG) Model by Rajesh Garapati, Manomita Chakraborty

“…A detailed study using a real-world dataset of IMDb movie reviews demonstrated this. …”
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User Model for Virtual Learning Based on Adaptive Gamification by Intan Yusrina Zairon, Tengku Siti Meriam Tengku Wook, Syahanim Mohd Salleh, Hadi Affendy Dahlan

“…Future work should focus on implementing the recommended enhancements and conducting empirical studies to validate the model’s effectiveness in real-world educational settings.…”
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End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN by Gabriel David, Emmanuel Faure

“…Second, applying it to real-world data involving cell instance segmentation during the morphogenesis of the ascidian embryo Phallusia mammillata, we show that our 3D Mask R-CNN outperforms the state-of-the-art method, achieving high recall and precision scores. …”
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Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…Extensive experiments on four large real-world datasets demonstrate that TLMR outperforms existing methods in four key performance metrics. …”
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To Measure or Not to Measure: Direct Oral Anticoagulant Laboratory Assay Monitoring in Clinical Practice by Tania Ahuja, Veronica Raco, Sharonlin Bhardwaj, David Green

“…We aimed to assess real-world practices in situations in which DOAC drug-level monitoring was used at a large academic medical center. …”
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Joint Optimization in Underwater Image Enhancement: A Training Framework Integrating Pixel-Level and Physical-Channel Techniques by Ozan Demir, Metin Aktas, Ender M. Eksioglu

“…The results of experiments conducted with real-world underwater images show that the proposed model achieves improved performance compared to state-of-the-art methods. …”
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Effect of Virtual Reality Therapy with Brain Gym Exercises for Sleep-deprived Individuals: A Randomized Clinical Trial by Marissa De Souza Eremita, Jeba Chitra

“…Virtual reality therapy (VRT) allows individuals to experience a computer-generated virtual environment so that they can be exposed to stimuli that imitate real-world experiences and have been used in other psychological conditions with positive outcomes. …”
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Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping by ZHENG Junhua, JIANG Hongwei, LIU Rong, LI Yixiu, LI Wen, WENG Jian

“…Multi-key fully homomorphic encryption (MK-FHE) technology supports homomorphic operations on ciphertexts encrypted with different keys, and can be directly applied to real-world multi-user data fusion computing scenarios, such as multi-party collaborative computing and federated learning. …”
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Multiobjective Optimization of a Fractional-Order PID Controller for Pumped Turbine Governing System Using an Improved NSGA-III Algorithm under Multiworking Conditions by Chu Zhang, Tian Peng, Chaoshun Li, Wenlong Fu, Xin Xia, Xiaoming Xue

“…The experimental results on eight test functions and a real-world PTGS have shown that the proposed multiobjective framework can improve the Pumped storage units’ adaptability to changeable working conditions and the proposed LCNSGA-III algorithm is able to solve the MO-FOPID problem effectively.…”
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A multi-modal geospatial–temporal LSTM based deep learning framework for predictive modeling of urban mobility patterns by Sangeetha S.K.B, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

“…Evaluations using a real-world multi-modal urban transportation dataset demonstrate the performance of GT-LSTM, with significant reductions of 15% in Mean Absolute Percentage Error (MAPE) and 20% in Root Mean Square Error (RMSE) compared to traditional methods. …”
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