Four-Channel Nanosecond Pulse Combination in the Non-Polarization-Maintaining Fiber System by Xinyu Wang, Qiang Shu, Qiuhui Chu, Chenxu Liu, Yuefang Yan, Jing Wen, Kegong Dong, Rumao Tao, Haoyu Zhang, Honghuan Lin, Jianjun Wang

Get full text

Available Transfer Capability Assessment of Multiarea Power Systems with Conditional Generative Adversarial Network by Xiangfei Meng, Lina Zhang, Xin Tian, Hongqing Chu, Yao Wang, Qingxin Shi

Get full text

Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models by Yi Yang

Get full text

Combination of Transformed-means Clustering and Neural Networks for Short-Term Solar Radiation Forecasting by M. Ghayekhloo, M. B. Menhaj

Get full text

Enhancing Latent Defect Detection in Built-In Spindle Assembly Lines Through Vibration Data Analysis by Kuo-Hao Li, Chao-Nan Wang, Yao-Chi Tang

“…The integration of these advanced algorithms accurately identified defects and categorized them, thus optimizing manufacturing processes. …”
Get full text

Medical irradiation risk assessment based on the data of radiation-hygienic passportization in the regions of the Russian Federation by V. Ju. Golikov

Get full text

Enhanced Real-Time Onboard Orbit Determination of LEO Satellites Using GPS Navigation Solutions with Signal Transit Time Correction by Daero Lee, Soon Sik Hwang

Get full text

Joint Optimal Production Planning for Complex Supply Chains Constrained by Carbon Emission Abatement Policies by Longfei He, Zhaoguang Xu, Zhanwen Niu

“…We focus on the joint production planning of complex supply chains facing stochastic demands and being constrained by carbon emission reduction policies. …”
Get full text

Solving Max‐Cut Problem Using Spiking Boltzmann Machine Based on Neuromorphic Hardware with Phase Change Memory by Yu Gyeong Kang, Masatoshi Ishii, Jaeweon Park, Uicheol Shin, Suyeon Jang, Seongwon Yoon, Mingi Kim, Atsuya Okazaki, Megumi Ito, Akiyo Nomura, Kohji Hosokawa, Matthew BrightSky, Sangbum Kim

Get full text

Extraction of exact symbolic stationary probability formulas for Markov chains in finite space with application to production lines. part II: unveiling accurate formulas for very s... by Konstantinos S. Boulas, Georgios D. Dounias, Chrissoleon T. Papadopoulos

“…Much of this research has focused on using Markov stochastic modeling to formulate manufacturing systems problems. …”
Get full text

Neural Networks Method in modeling of the financial company’s performance by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

“…The research is based on a complex of theoretical and empirical developments of domestic and foreign authors. …”
Get full text

Distributionally robust optimization-based scheduling for a hydrogen-coupled integrated energy system considering carbon trading and demand response by Zhichun Yang, Lin Cheng, Huaidong Min, Yang Lei, Yanfeng Yang

Get full text

Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning by Seyum Abebe, Irene Poli, Roger D. Jones, Debora Slanzi

“…Our study aims to evaluate the performance and feasibility of such algorithms: tree-based reinforcement learning (T-RL), DTR-Causal Tree (DTR-CT), DTR-Causal Forest (DTR-CF), stochastic tree-based reinforcement learning (SL-RL), and Q-learning with Random Forest. …”
Get full text

Magnetic Field Active Shielding of Overhead Power Lines with Triangular Phase Conductors Arrangements by Kuznetsov B., Nikitina T., Bovdui I.

“…New scientific results are theoretical and field experimental research of the shielding factor of two circuit system of active shielding with two shielding coils carried out. …”
Get full text

Multi-Skilled Project Scheduling for High-End Equipment Development Considering Newcomer Cultivation and Duration Uncertainty by Yaohui Liu, Ronggui Ding, Shanshan Liu, Lei Wang

“…Solving the model is blocked by the inherently NP-hard nature of the project scheduling problem and the stochasticity of the durations. Therefore, we put forward an adaptive simulation–optimization approach featuring two-fold: a simulation module capable of dynamically adjusting sample sizes based on convergence feedback and evaluating solutions with improved efficiency and stable accuracy; a tailored non-dominated sorting genetic algorithm II (NSGA-II) with adaptive evolutionary operators that enhance search effectiveness and ensure the identification of a well-distributed Pareto front. …”
Get full text

Housing Price Forecasting Using AI (LSTM) by Hossein Ziyadi, Erfan Salavati, Mohammad Mahdi Lotfi Heravi

“…ObjectiveForecasting the asset prices in any market is an inseparable and critical part of research on markets. Obtaining a credible prediction of an asset's potential future price provides valuable information for investors. …”
Get full text

A Model‐Based Approach to Evaluate Anti‐Drug Antibody Impact on Drug Exposure With Biologics: A Case Example With the CD3 T‐Cell Bispecific Cibisatamab by Javier Sanchez, Philippe B. Pierrillas, Nicolas Frey, Gregor P. Lotz, Siv Jönsson, Lena E. Friberg, Nicolas Frances

Get full text

Conjugate gradient neural network in prediction of clay behavior and parameters sensitivities by Hamed Memarian fard

“…In our benchmark experiments the resulting highly scalable algorithms converge about an order of magnitude faster than ordinary stochastic gradient descent. …”
Get full text

Restoration of High-Renewable-Penetrated Distribution Systems Considering Uncertain Repair Workloads by Xiaotian Sun, Haipeng Xie, Zhaohong Bie, Gengfeng Li

Get full text

Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…With the rapid increase in the number of Earth Observation Satellites (EOSs), research on autonomous mission scheduling has become increasingly critical for optimizing satellite sensor operations. …”
Get full text