Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning by Yuanzhi Sun, Guangbao Mi, Peijie Li, Liangju He

“…The results show that the two algorithms based on multiple learners, gradient boosting decision tree (GBDT) and eXtreme Gradient Boosting (XGBoost), show better performance. …”
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Fast Spectral Collocation Method for Solving Nonlinear Time-Delayed Burgers-Type Equations with Positive Power Terms by A. H. Bhrawy, L. M. Assas, M. A. Alghamdi

“…We present numerical results which illustrate the accuracy and flexibility of these algorithms.…”
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A Comparative Study of First-Order Reliability Method-Based Steepest Descent Search Directions for Reliability Analysis of Steel Structures by Hamed Makhduomi, Behrooz Keshtegar, Mehdi Shahraki

“…Three algorithms of first-order reliability method (FORM) using steepest descent search direction are compared to evaluate the reliability index of structural steel problems which are designed by the Iranian National Building code. …”
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The Navigation of Home Service Robot Based on Deep Learning and Machine Learning by Yupei Yan, Weimin Ma, Sengfat Wong, Xuemei Yin, Qiang Pan, Zhiwen Liao, Xiaoxin Lin

“…Following, the data come from the robot operating system topics are collected and cleaned, the linear regression, decision tree, and linear SVR algorithms are applied and compared to predict the power consumption of the robot, and a conclusion is obtained that liner movement will consume more power, which provides a reference for the path planning of the robot. …”
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Structure and Function of the LRBA Protein by Ege Ezen, Mehmet Cihangir Çatak, Feyza Bayram Çatak, Sofia Piepoli, Pegah Zahedimaram, Ecem Ultanır, Safa Barış, Batu Erman

“…These proteins have C-terminal PH, Beach and WD40 domains, whose structures are solved or can be predicted using recently developed algorithms such as Alphafold. Family members such as LRBA, LYST and NBEAL2 are implicated in human disease. …”
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Joint intelligent optimization design of the active region and electron blocking layer for AlGaN-based deep ultraviolet LEDs by Jinglei Wang, Huimin Lu, Jianhua Ma, Yifan Zhu, Zihua Zhang, Tongjun Yu, Xuecheng Wei, Hua Yang, Jianping Wang

“…Aiming to enhance the internal quantum efficiency (IQE) of AlGaN-based deep ultraviolet light-emitting diodes (DUV LEDs), the active region based on the V-shaped quantum well (QW) and the electron-blocking layer (EBL) structure are jointly optimized using intelligent algorithms in this work. This method focuses on maximizing the IQE of the DUV LEDs by optimizing the geometric and material parameters of multiple QWs (MQWs) and EBL. …”
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A novel class of fourth-order derivative-free iterative methods to obtain multiple zeros and their basins of attraction by Munish Kansal, Vanita Sharma, Litika Rani, Lorentz Jäntschi

“…Numerical analyses were performed and compared with other existing algorithms to verify the efficacy and applicability of the proposed techniques.…”
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Scheduling for Improving System Capacity in Multiservice 3GPP LTE by Francisco Rafael Marques Lima, Stefan Wänstedt, Francisco Rodrigo Porto Cavalcanti, Walter Cruz Freitas Junior

“…We study the impact of scheduling algorithms on the provision of multiple services in the long term evolution (LTE) system. …”
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Enhancing Quality of Service in Software-Defined Internet of Things (SD-IoT) Environment: A review by Grif Abdelali, Zyane Abdellah

“…It examines specific techniques such as QoS routing, dynamic load balancing, real-time traffic classification, and adaptive rule placement, highlighting key results such as improved efficiency of QoS routing algorithms and the benefits of load balancing strategies based on heuristic optimization. …”
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Support Vector Machine for Behavior-Based Driver Identification System by Huihuan Qian, Yongsheng Ou, Xinyu Wu, Xiaoning Meng, Yangsheng Xu

“…The experimental results of learning algorithms and evaluation are described.…”
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Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets by Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish

“…However, class imbalances, where non-diabetic cases dominate, can significantly affect machine learning model performance, leading to biased predictions and reduced generalization.MethodsA novel predictive framework employing cutting-edge machine learning algorithms and advanced imbalance handling techniques was developed. …”
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Machine learning-enhanced SERS for accurate azoospermia diagnosis via seminal plasma exosome analysis by Jiarui Wang, Shiyan Jiang, Jiaxin Shi, Jing Wang, Shengrong Du, Zufang Huang

“…Semen samples from healthy controls ([Formula: see text]) and azoospermic patients ([Formula: see text]) were collected, and their exosomal SERS spectra were obtained. Machine learning algorithms were employed to distinguish between the SERS profiles of healthy and azoospermic samples, achieving an impressive sensitivity of 99.61% and a specificity of 99.58%, thereby highlighting significant spectral differences. …”
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Multigoal-oriented a posteriori error control for heated material processing using a generalized Boussinesq model by Beuchler, Sven, Endtmayer, Bernhard, Lankeit, Johannes, Wick, Thomas

“…The error indicators are used to employ adaptive algorithms, which are substantiated with several numerical tests such as one benchmark and two further experiments that are motivated from laser material processing. …”
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The Multivariate Fusion Distribution Characteristics in Physician Demand Prediction by Jiazhen Zhang, Wei Chen, Xiulai Wang

“…By combining variational autoencoders and LSTM units, the model can effectively capture complex nonlinear relationships and long-term dependencies, and the multi-head attention mechanism overcomes the limitations of traditional algorithms. This lightweight architecture design not only improves the computational efficiency but also enhances the stability in high-dimensional data processing and reduces feature redundancy by combining the normalization process with statistics. …”
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Quantitative Indicator for Objective Assessment of Software Process Quality and Performance by Muhammad Adeel Mannan, Jahangir Khan, Hira Zafar

“…We define the problem as a sequence classification challenge that can be effectively tackled using machine learning algorithms. Building on this framework, we develop a new quantitative metric for the objective evaluation of software process efficiency and quality. …”
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Overview of TRIPOLI-5, a Monte Carlo code for HPC by Mancusi Davide, Brun Emeric, Dechenaux Benjamin, Fröhlicher Kévin, Gonçalves Thomas, Jinaphanh Alexis, Kowalski Mikolaj Adam, Larmier Coline, Malvagi Fausto, Millasseau Grégory, Monange Wilfried, Petit Odile, Zoia Andrea

“…TRIPOLI-5 benefits from the experience gained from previous investigations conducted on the PATMOS mini-app, concerning the portability of particle-transport algorithms in High Performance Computing environments. …”
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Tissue damage-tracking control system for image-guided photothermal therapy of cancer by Mauricio Céspedes Tenorio, Carlos A. Wattson Sánchez, Diego S. Dumani, Diego S. Dumani

“…Two separate control algorithms (fuzzy logic and PI) were designed and tested in silico using simulations made in MATLAB® and Python. …”
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Optimizing Pinned Nodes to Maximize the Convergence Rate of Multiagent Systems with Digraph Topologies by Yujuan Han, Wenlian Lu, Tianping Chen, Changkai Sun

“…In the case of sufficiently large pinning strength, by the similar method, a metric based on the smallest real part of eigenvalues of the Laplacian submatrix corresponding to the unpinned nodes is used to measure the stabilizability of the pinned node set. Different algorithms that are applicable for different scenarios are develped. …”
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Prediction of Concrete Compressive Strength by Evolutionary Artificial Neural Networks by Mehdi Nikoo, Farshid Torabian Moghadam, Łukasz Sadowski

“…Compressive strength of concrete has been predicted using evolutionary artificial neural networks (EANNs) as a combination of artificial neural network (ANN) and evolutionary search procedures, such as genetic algorithms (GA). In this paper for purpose of constructing models samples of cylindrical concrete parts with different characteristics have been used with 173 experimental data patterns. …”
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Antiretroviral Therapy for HIV-2 Infection: Recommendations for Management in Low-Resource Settings by Kevin Peterson, Sabelle Jallow, Sarah L. Rowland-Jones, Thushan I. de Silva

“…It complicates HIV diagnosis, requiring more expensive and technically demanding testing algorithms. Natural polymorphisms and patterns in the development of resistance to antiretrovirals are reviewed, along with their implications for antiretroviral therapy. …”
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