Investigation on Circadian Action and Color Quality in Laser-Based Illuminant for General Lighting and Display by Shuo-Di Lei, Bi-Jing Liu, Yang Gao, Xiao-Ya Dong, Yu-Jia Gong, Jian Xu, Yun-Xin Xu, Dong Wang, Zi-Quan Guo, Ting-Zhu Wu, Chen-Liang Zhou, Zong-Jian Cai, Yi-Jun Lu, Zhong Chen

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Near-Real-Time Global Thermospheric Density Variations Unveiled by Starlink Ephemeris by Zhuoliang Ou, Jiahao Zhong, Yongqiang Hao, Ruoxi Li, Xin Wan, Kang Wang, Jiawen Chen, Hao Han, Xingyan Song, Wenyu Du, Yanyan Tang

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Beamforming interferometry bathymetry method based on multi-coprime sensor array by Tian Zhou, Jiajun Shen, Jianjun Zhu, Wanyuan Zhang, Dongdong Peng

“…Recently, coprime array has been a popular research field in the application of direction-of-arrival estimation. …”
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Effects of Social Media Marketing Activities on Perceived Values, Online Brand Engagement, and Brand Loyalty by Ngoc Minh Nguyen, Huyen Thi Nguyen, Thao Anh Cao

“…Partial Least Squares Algorithm, Bootstrapping, PLSpredict/CVPAT, and Multi-Group Analysis methods embedded in Smart-PLS software were used to validate the measurement model and test the research hypotheses. …”
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Advanced thermal management in radiology equipment: Numerical and semi-analytical analysis of flat heat pipes by Maryam Johari, Hossein Ali Hoshyar, Davood Domiri Ganji

“…Advanced techniques—specifically the Least Squares Method (LSM) and the fourth-order Runge-Kutta-Fehlberg (RKF) algorithm, are employed to conduct a comprehensive analytical investigation of heat pipe performance. …”
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netDx: interpretable patient classification using integrated patient similarity networks by Shraddha Pai, Shirley Hui, Ruth Isserlin, Muhammad A Shah, Hussam Kaka, Gary D Bader

“…A clinically useful prediction algorithm should be accurate, generalizable, be able to integrate diverse data types, and handle sparse data. …”
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Optimizing a Dynamic Vehicle Routing Problem with Deep Reinforcement Learning: Analyzing State-Space Components by Anna Konovalenko, Lars Magnus Hvattum

“…<i>Conclusions:</i> This research provides insights into RL modeling for DVRPs, highlighting the importance of state-space design. …”
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Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization by Hamid Sabbaghi, Nader Fathianpour

“…Performance of the AML algorithms are extremely dependent to values of their hyperparameters. …”
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On-Site Safety Inspections Through Marker-Less Augmented Reality and Blockchain Notarization of BIM-Based Processes by Alessandra Corneli, Alessandro Carbonari, Francesco Spegni, Tommaso Pieroni, Berardo Naticchia

“…On-site outdoor localization is ensured by a GPS-RTK system, while for indoor spaces, an artificial intelligence algorithm that recognizes features is used. In this research, an application that supports a seamless outdoor–indoor transition is proposed, with the display of inspection information through augmented reality and a blockchain notarization of images taken on-site and aligned with BIM models. …”
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Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations by Pavel V. Matrenin, Alina I. Stepanova

“…Ensemble decision trees were applied for time series forecasting, and an analysis of the impact of various factors on forecasting accuracy was conducted. An algorithm for interpreting forecast results using the SHapley Additive exPlanation method was proposed. …”
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Task Allocation and Saturation Attack Approach for Unmanned Underwater Vehicles by Qiangqiang Chen, Baisheng Liu, Changdong Yu, Mingkai Yang, Haonan Guo

“…At the same time, the combination of the optimal matching algorithm and Bezier curve dynamic path control ensures the accuracy and flexibility of a coordinated attack. …”
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Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer by J.-S. Chou, H.-M. Nguyen, H.-P. Phan, K.-L. Wang

“…Developing an early warning system for this type of disaster is crucial to reduce its impact on society. This research contributes to developing predictive early warning systems for deep-seated landslide displacement by employing advanced computational models for environmental risk management. …”
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Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images by Muhammad Ramzan, Muhammad Usman Saeed, Ghulam Ali

“…After that, GRAD-Cam algorithm is applied to calculate the pixel percentages of all the features. …”
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Differential Protection of Main Transformer of Doubly-Fed Wind Farm Based on Current Synthesized Vector Trajectory Characteristics by Xupeng SONG, Xiaoyang YANG, Zhengzhen FAN

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Advancements in ultrafast photonics: confluence of nonlinear optics and intelligent strategies by Qing Wu, Liuxing Peng, Zhihao Huang, Xiaolei Liu, Meng Luo, Danheng Gao, Haoran Meng

“…The advancements in intelligent algorithm-driven automatic mode-locking techniques primarily are explored in this review, which also revisits the fundamental principles of nonlinear optical absorption, and examines the evolution and categorization of conventional mode-locking techniques. …”
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On a New Modification of the Weibull Model with Classical and Bayesian Analysis by Yen Liang Tung, Zubair Ahmad, Omid Kharazmi, Clement Boateng Ampadu, E.H. Hafez, Sh. A.M. Mubarak

“…Modelling data in applied areas particularly in reliability engineering is a prominent research topic. Statistical models play a vital role in modelling reliability data and are useful for further decision-making policies. …”
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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

“…The emergence of ML algorithms, such as Artificial Neural Networks (ANN), Support Vector Machines, and others, trigger this paradigm. …”
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Automatic detection of non-convulsive seizures: A reduced complexity approach by Tazeem Fatma, Omar Farooq, Yusuf U. Khan, Manjari Tripathi, Priyanka Sharma

“…The main advantage of this study lies in the fact that no classifier is used here and hence algorithm is very simple and computationally fast. …”
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Performance evaluation of enhanced deep learning classifiers for person identification and gender classification by Vasu Krishna Suravarapu, Hemprasad Yashwant Patil

“…Further, an adaptive coati optimization algorithm is used to adjust the hyperparameters of the classification models. …”
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The use of rough rules in the selection of topographic objects for generalizing geographical information by Fiedukowicz Anna

“…The complexity of the decision system (the number of rules and their conditions) and its effectiveness are assessed, both in terms of quantity and quality – through visual assessment. The conducted research indicates the advantage of the DRST and RST approaches (with the CN2 algorithm) due to the quality of the obtained selection, the greater simplicity of the decision system, and better refined IT tools enabling the use of these systems. …”
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