Achieving high precision and productivity in laser machining of Ti6Al4V alloy: A comprehensive study using a n-predictor polynomial regression model and PSO algorithm by Avinash Chetry, Sandesh Sanjeev Phalke, Arup Nandy

“…Subsequently, the Particle Swarm Optimization technique has been applied to identify the optimal machining parameters for reducing angle of kerf and surface roughness, while increasing material removal rate. …”
Get full text

Combining the A* Algorithm with Neural Networks to Solve the Team Orienteering Problem with Obstacles and Environmental Factors by Alfons Freixes, Javier Panadero, Angel A. Juan, Carles Serrat

“…The objective is to optimize UAV routes to maximize collected rewards while adhering to operational constraints. …”
Get full text

Evolutionary search algorithm for learning activation function of an artificial neural network by Yurshin Viacheslav

“…Neural networks require careful selection of activation functions to optimize performance. Traditional methods of choosing activation functions through trial and error are time-consuming and resource-intensive. …”
Get full text

Evaluation of Sustainability for Coal Consumption Using a Multiattribute Decision-Making Model by Guodang Zhao, Xuyang Guo, Xin Wang, Dezhi Zheng

“…The importance weight of the attributes was determined by the entropy weight method (EWM) and the analytic hierarchy process (AHP), while the comprehensive evaluation of the sustainability of coal consumption in China over the years was considered as an alternative. …”
Get full text

Formation of Managers’ Competencies in The Field of Project Portfolio Management of The Enterprise by H. H. Kuchmezov, S. I. Neizvestny

“…Project portfolio management competencies are erroneously replaced by individual project management competencies, while almost all modern enterprises have a project portfolio. …”
Get full text

Surrogate modeling of passive microwave circuits using recurrent neural networks and domain confinement by Kaustab C. Sahu, Slawomir Koziel, Anna Pietrenko-Dabrowska

“…These can be mitigated by employing surrogate modeling methods, especially to expedite design workflows like local/global optimization or uncertainty quantification. …”
Get full text

Compensation of parasitic elements of transistor in the class F amplifier with the tuning of impedances at harmonics by A. P. Yefymovych, V. G. Krizhanovski

“…The system is solved numerically relative to the three parameters of the OLC, for which the impedance on a chip of the transistor (on COUT) for odd and even harmonics corresponds to the theory of class F PAs. This method is applicable for the calculation of the OLC, which is realized in the frequency range of 300–500 MHz, where the use of elements with lumped parameters only is not always possible, while using elements with distributed parameters leads to a substantial increase in the size of the whole amplifier. …”
Get full text

Strategies for Reducing the Communication and Computation Costs in Cross-Silo Federated Learning: A Comprehensive Review by Vineetha Pais, Santhosha Rao, Balachandra Muniyal

“…The review introduces a systematic taxonomy of cost-reduction techniques and proves that hybrid approaches combining multiple optimization methods can maintain model performance while optimizing resource utilization. …”
Get full text

Synergistic Antitumor Effects of Caerin Peptides and Dendritic Cell Vaccines in a 4T-1 Murine Breast Cancer Model by Rongmi Mo, Junjie Li, Xinyi Song, Jiawei Fu, Mengqi Liu, Yuandong Luo, Quanlan Fu, Jinyi Wu, Hongyin Wu, Yongxin Liang, Tianfang Wang, Xiaosong Liu, Guoying Ni

“…Flow cytometry analyzed immune cell subsets in the tumor microenvironment and lymph nodes, while ELISA measured cytokine levels. <b>Results</b>: F1/F3 significantly inhibited 4T-1 cell proliferation and induced apoptosis while suppressing tumor growth and lung metastasis in vivo. …”
Get full text

Enhanced Spectral Efficiency in RIS-Assisted MIMO Systems Through Joint Precoding and RIS Configuration by Mohammed Adil Abbas, Aqiel N. Almamori, Ahmed Jumaa Lafta, Asaad H. Sahar

“…Unlike conventional approaches that optimize RIS phase shifts and transmitter precoding separately, our method jointly optimizes both using an iterative strategy. …”
Get full text

Implementation of Independent Curriculum Learning at Cimone State Elementary School Tangerang City by Mia Alfiatun Najah, Yeni Nuraeni, Ina Magdalena

“…The obstacles faced include limited facilities, uneven teacher readiness, and student adaptation to new and innovative learning methods. Strengthening teacher training, procurement of facilities, and increasing collaboration between schools and related parties is very necessary so that the implementation of the curriculum can run optimally and have a significant positive impact on the learning process in elementary schools as a whole. …”
Get full text

Innovations in Cancer Immunotherapy Drug Delivery Technologies: A Systematic Review by Kavita Sharma, Madhuri Shah, Samiksha Gour, Rituparna Mitra, Nidhhi Bihani, Nehal Chandgothia

“…An innovative method in oncology, cancer immunotherapy uses the body’s immune system to fight cancer cells. …”
Get full text

Online Meta-Recommendation of CUSUM Hyperparameters for Enhanced Drift Detection by Jessica Fernandes Lopes, Sylvio Barbon Junior, Leonimer Flávio de Melo

“…To address this challenge, several strategies have been proposed to facilitate hyperparameter optimizations, as traditional methods are impractical. …”
Get full text

Imitation learning with artificial neural networks for demand response with a heuristic control approach for heat pumps by Thomas Dengiz, Max Kleinebrahm

“…We train the model using the output data of an optimization problem to determine the optimal operation schedule of a heat pump. …”
Get full text

Advancing deformation calculation: a physics-informed deep graph learning framework for hyperelastic materials by Faras Brumand-Poor, Matthias Trautmann, Katharina Schmitz

“…Abstract In elastohydrodynamic lubrication (EHL) simulations, classical numerical methods like the finite difference method (FDM) and the finite element method (FEM) are commonly employed. …”
Get full text

Discretization-independent surrogate modeling of physical fields around variable geometries using coordinate-based networks by James Duvall, Karthik Duraisamy

“…Numerical solutions of partial differential equations require expensive simulations, limiting their application in design optimization, model-based control, and large-scale inverse problems. …”
Get full text

Cooperative Downloading in Mobile Ad Hoc Networks: A Cost-Energy Perspective by He Li, Yang Yang, Xuesong Qiu, Zhipeng Gao, Guizhen Ma

“…To satisfy users' personal demands, the paper also designs a local optimization mechanism based on cost and energy. The simulation results show that the cost and content distribution method can achieve better performance, higher downloading efficiency, and lower energy consumption than the self-organized market algorithm (SOMA) and the average distribution algorithm (ADA).…”
Get full text

An empirical study on the evolution and driving factors of energy-related carbon emissions in the Yangtze River Economic Belt by Yi Zhu, Yi Zhu, Xieqihua Liu, Chao Feng, Tao Zhang, Xi Wang

“…Overall, energy intensity and structural optimization have suppressed emissions, while economic growth and population expansion remain the dominant drivers. …”
Get full text

Synergistic Combinations of Native Australian Plants For Skin Inflammation and Wound Healing by Rotina Kapini, Dennis Chang, Gerald Münch, Lisa Carroll, Xian Zhou

“…<b>Background:</b> Inflammation and oxidative stress are key mechanisms in underlying skin conditions like psoriasis and eczema. While many plants, including Australian native plants, are proposed to target these pathways due to their phytochemical content, studies on whole extracts and their synergistic effects remain limited. …”
Get full text

Combining 3-Opt and Improved Discrete Cuckoo Search Algorithm for the Traveling Salesman Problem by A. Sarucan, M. F. Berkaya

“…In recent years, metaheuristic methods obtained optimal or near-optimal solutions in TSP in an acceptable time. …”
Get full text