Forward Predicting Chromatic-Optical Parameters of the Mixed Light of White-Red Light-Emitting Diode Configurations Based on Deep Learning Algorithms by Songsheng Lin, Huanting Chen, Yin Zheng, Quanji Xie, Xuehua Shen, Huichuan Lin, Shuo Lin, Yan Li

“…This dataset, partitioned into training (4,182 data sets) and testing (984 data sets) sets, encapsulates the complex physical mechanisms influencing LED performance, such as temperature-induced spectral shifts and current-dependent optical behavior. Four deep learning algorithms were evaluated. …”
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Stage-induced learning-based cooperative target hunting strategy for multiple unmanned surface vehicles by Xingru QU, Yuze JIANG, Feifei LONG, Rubo ZHANG, Ying GAO

“…This is integrated with the multi-agent soft actor-critic (MASAC) algorithm for cooperative hunting training. …”
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Machine learning integration in thermodynamics: Predicting CO2 mixture saturation properties for sustainable refrigeration applications by Carlos G. Albà, Ismail I.I. Alkhatib, Lourdes F. Vega, Fèlix Llovell

“…Subsequently, data from the molecular characterization via polar soft-SAFT is used as output targets to train a machine learning algorithm based on artificial neural networks, enabling the prediction of mixture saturation properties out of the training dataset's scope. …”
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Performance Evaluation of Robotic Harvester with Integrated Real-Time Perception and Path Planning for Dwarf Hedge-Planted Apple Orchard by Tantan Jin, Xiongzhe Han, Pingan Wang, Yang Lyu, Eunha Chang, Haetnim Jeong, Lirong Xiang

“…The adaptive soft gripper was evaluated for its detachment and load-bearing capacities. …”
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Industrial multi-machine data aggregation, AI-ready data preparation, and machine learning for virtual metrology in semiconductor wafer and slider production by Feiyang Ou, Julius Suherman, Chao Zhang, Henrik Wang, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

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Comprehensive Load Regulation Strategy Considering Outage Risk in Power Tight Balance Scenarios by Shunjiang Wang, Zhongwei Li, Rongmao Wang, Huan Ma

“…Then, orderly consumption power (OCP) is determined by power balance analyzing and flexible resource accessing, reasonably allocated over the subsystems by considering the load types and energy efficiencies, and further specified by components of peak shifting, peak averting and power rationing. Secondly, load-shedding risk evaluation algorithm based on multiple samplings with short-term chronological sequences (MSSCS) is proposed to accurately evaluate load-shedding risk without prohibitive computational burdens. …”
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Reward shaping-based deep reinforcement learning for look-ahead dispatch with rolling-horizon by Hongsheng Xu, Yungui Xu, Ke Wang, Yaping Li, Abdullah Al Ahad

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PyIT2FLS: An open-source Python framework for flexible and scalable development of type 1 and interval type 2 fuzzy logic models by Amir Arslan Haghrah, Sehraneh Ghaemi, Mohammad Ali Badamchizadeh

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AI Act as EU Legislator’s Response to Challenges of Artificial Intelligence Development by Monika Wyszomirska

“…Keywords: artificial intelligence, new technology law, cyber security, legislative sandboxes, soft law, AI systems…”
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Intelligent design of high-performance fluids for thermal management: integrating response surface methodology, weighted Tchebycheff method, and strength Pareto evolutionary algori... by Mohamed Bechir Ben Hamida, Ali Basem, Neeraj Varshney, Loghman Mostafa

“…This study presents a novel multi-objective optimization framework integrating response surface methodology (RSM) with enhanced hill climbing (EHC) algorithm and strength Pareto evolutionary algorithm II (SPEA-II) to optimize multiple TPPs. …”
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Radar amplitude-range-doppler surface fast calculation on graphics processing units by A. V. Barkhatov, A. S. Kozlov

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Development of natural rubber under-sleeper pads for enhancing railway transition zones using an integrated artificial neural network and genetic algorithm approach by Chakrit Suvanjumrat, Kanchanabhorn Chansoda, Watcharapong Chookaew

“…To optimize these properties, an integrated Artificial Neural Network (ANN) and Genetic Algorithm (GA) approach was developed, achieving high predictive accuracy (R² = 0.99126). …”
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Design and implementation of J2EE-based statement feature recognition in English teaching system optimization by Lina Wang

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College psychological stress assessment system based on LabVIEW and WTA integration by Ting Wang

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Combined digital media technology and advanced computing science in folk art design application by Xingxing Fu

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Multi-resource joint management strategy for 5 G network slicing based on POMDP by Yale Li

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Reducing the Impact of the Frequency Change on the Formation of Orthogonal Components of the Relay Protection Input Signals by E. A. Romaniuk, V. Yu. Rumiantsev, Yu. V. Rumiantsev, A. A. Dziaruhina

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Research on differential properties of Keccak-like nonlinear transform by Qian-nan LI, Yun-qiang LI, Shu-jing JIANG, Yao LU

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Calibration and Validation of NOAA-21 Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper Sensor Data Record Data by Banghua Yan, Trevor Beck, Junye Chen, Steven Buckner, Xin Jin, Ding Liang, Sirish Uprety, Jingfeng Huang, Lawrence E. Flynn, Likun Wang, Quanhua Liu, Warren D. Porter

“…The NOAA-21 OMPS SDR calibration derives updates of several previous OMPS algorithms, including the dark current correction algorithm, one-time wavelength registration from ground to on-orbit, daily intra-orbit wavelength shift correction, and stray light correction. …”
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A computer-assisted robotic platform for vascular procedures exploiting 3D US-based tracking by Marco Mura, Simone Parrini, Gastone Ciuti, Vincenzo Ferrari, Cinzia Freschi, Mauro Ferrari, Paolo Dario, Arianna Menciassi

“…By combining the benefits of magnetic navigation and ultrasound (US) imaging, the authors proposed a robotic platform (i.e. the MicroVAST platform) for intravascular medical procedures.Methods: A 3D imaging US-based tracking algorithm is implemented for the navigation of a magnetic-dragged soft-tethered device. …”
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