Exploring the Capacity of Large Language Models to Assess the Chronic Pain Experience: Algorithm Development and Validation by Jacopo Amidei, Rubén Nieto, Andreas Kaltenbrunner, Jose Gregorio Ferreira De Sá, Mayte Serrat, Klara Albajes

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An algorithm for independent component analysis using a general class of copula-based dependence criteria by Fatemeh Asadi, Hamzeh Torabi, Hossein Nadeb

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Development of an Algorithm and Module for Automatic Evaluation of Student Papers Based on Semantic Analysis of Text by A. A. Poguda, Jean Max Habib Tape

“…Research objective. The main objectives of developing a module for automatic assessment of students’ papers based on the Russian grading scale system are:– Increased grading efficiency: the automatic system can process a larger number of papers in less time than a lecturer, reducing the time spent on checking;– Grading objectivity: the automated system is not subject to bias and other human factors, which ensures more objective grading of papers;– Standardization of grading: the automated system provides a uniform approach to grading, making it more transparent and comparable;– Reduced workload for lecturers: freeing lecturers from the routine work of checking papers allows them to devote more time to individual work with students.Materials and methods. …”
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The use of machine translation algorithm based on residual and LSTM neural network in translation teaching. by Beibei Ren

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Optimizing Vital Signs in Patients With Traumatic Brain Injury: Reinforcement Learning Algorithm Development and Validation by Hongwei Zhang, Mengyuan Diao, Sheng Zhang, Peifeng Ni, Weidong Zhang, Chenxi Wu, Ying Zhu, Wei Hu

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Predictive machine learning algorithm for COPD exacerbations using a digital inhaler with integrated sensors by Michael Reich, Njira Lugogo, Laurie D Snyder, Megan L Neely, Guilherme Safioti, Randall Brown, Michael DePietro, Roy Pleasants, Thomas Li, Lena Granovsky

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Revisiting Online Algorithms: A Survey of Set Cover Solutions Beyond Competitive Analysis by Christine Markarian, Claude Fachkha, Noura Yassine

“…Online algorithms are crucial for real-time decision-making and adaptability across diverse fields, such as operations research, computer science, and combinatorics. …”
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Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis by Jingtai Ma, Jingtai Ma, Yiting Fang, Yiting Fang, Shiqi Li, Shiqi Li, Lilian Zeng, Siyi Chen, Zhifeng Li, Guiyuan Ji, Xingfen Yang, Wei Wu, Wei Wu

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Improving automated scoring of prosody in oral reading fluency using deep learning algorithm by Kuo Wang, Xin Qiao, George Sammit, Eric C. Larson, Joseph Nese, Akihito Kamata

“…The results demonstrated that the model with selected prosodic features had better cross-domain performance with an accuracy of 62.5% compared to 57% from the previous research. Our findings also indicate that students’ reading patterns influence cross-domain performance more than specific text passage patterns. …”
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The use of autofluorescence stomatoscopy in the algorithm of diagnosing of the oral mucosal abnormalities of patients with tuberculosis infection by T. P. Goryacheva, D. A. Zaplutanova, I. P. Goryacheva, O. A. Aleshina

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Interval variational approach for production control and waste reduction using artificial hummingbird algorithm by Subhajit Das, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Seyedali Mirjalili

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Comparison of Deep Neural Networks and Random Forest Algorithms for Multiclass Stunting Prediction in Toddlers by Wulan Sri Lestari, Yuni Marlina Saragih, Caroline

“…Multiclass stunting prediction offers deeper insights into a child’s condition, enabling more precise and targeted interventions. This study aims to compare the performance of multiclass stunting prediction models using two machine learning algorithms: Deep Neural Networks and Random Forest. …”
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A wireless sensor network for coal mine safety powered by modified localization algorithm by Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din

“…This shows that the proposed model communication range and it accuracy is higher than the existing research. The MATLAB simulation tool is used to enhance the localization of the proposed algorithm where, it is compare the traditional DV-Hop localization algorithm. …”
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An efficient binary salp swarm algorithm for user selection in multiuser MIMO antenna systems by A. Sasikumar, Logesh Ravi, Malathi Devarajan, Abdulaziz S. Almazyad, Shuvodeep De, Guojiang Xiong, Seyed Jalaleddin Mousavirad, Ali Wagdy Mohamed

“…Abstract The past ten years have seen notable research activity and significant advancements in multiuser multiple-input multiple-output (MU-MIMO) antennas. …”
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Retrieval algorithm for aerosol effective height from the Geostationary Environment Monitoring Spectrometer (GEMS) by S. S. Park, J. Kim, Y. Cho, H. Lee, J. Park, D.-W. Lee, W.-J. Lee, D.-R. Kim

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Algorithm for differential administration of combination antihypertensive therapy in patients with Type 2 diabetes mellitus by O. A. Koshelskaya, O. A. Zhuravleva, R. S. Karpov

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Design of a Transformer-GRU-Based Satellite Power System Status Detection Algorithm by Guoqi Xie, Xinhao Yang, Jiayu Zhao, Zhou Huang

“…Experimental results on satellite power system status detection demonstrate that the modified Transformer-GRU model achieves superior detection performance compared to baseline approaches. This research provides an effective solution for enhancing the reliability of satellite power management systems and opens new research directions for future advancements in space power system monitoring technologies.…”
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A Gradient-Assisted Energy-Efficient Backpressure Scheduling Algorithm for Wireless Sensor Networks by Zhenzhen Jiao, Rui Tian, Baoxian Zhang, Cheng Li

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High-Precision Modal Decomposition of Laser Beams Based on Globally Optimized SPGD Algorithm by Kyuhong Choi, Changsu Jun

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Utilizing the Novel Developed MLP Techniques to Survey Pile Subsidence via Optimization Algorithms by Augustinus Sieck, Graciela Daniels

“…The Artificial Neural Network, as a widespread method, has absorbed attention to draw the actual picture of pile movement vertically during the loading period. This research aims to develop the Multilayer Perceptron coupled with the Novel Arithmetic Optimization Algorithm and Biogeography-Based Optimization) to find out the optimal number of hidden layers of neurons within MLP. …”
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