Identification and Validation of Circadian Rhythm‐Related Genes Involved in Intervertebral Disc Degeneration and Analysis of Immune Cell Infiltration via Machine Learning by Yongbo Zhang, Liuyang Chen, Sheng Yang, Rui Dai, Hua Sun, Liang Zhang

“…ABSTRACT Background Low back pain is a significant burden worldwide, and intervertebral disc degeneration (IVDD) is identified as the primary cause. Recent research has emphasized the significant role of circadian rhythms (CRs) and immunity in affecting intervertebral discs (IVD). …”
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AI IS LEARNING HOW TO WRITE. ETHICAL PROBLEMS FOR JOURNALISM by Dan Valeriu VOINEA

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Synergistic sizing and energy management strategy of combined offshore wind with solar floating PV system for green hydrogen and electricity co-production using multi-objective dun... by Shafiqur Rehman, Ahmed S. Menesy, Mohamed E. Zayed, Mohamed Zaery, Ali Al-Shaikhi, Mohamed A. Mohandes, Kashif Irshad, Mahmoud Kassas, Mohammad A. Abido

“…The results showed that the DBO algorithm outperforms the GWO algorithm in terms of system efficiency, cost-effectiveness, and reliability. …”
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A Proposed Vision for Using Artificial Intelligence in Enhancing Strategic Value of Human Resources by Nadera Hourani

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An uncertain sustainable supply chain network design for regulating greenhouse gas emission and supply chain cost by Amit Kumar, Kaushal Kumar

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Design and prototyping of a magnetically and hydrodynamically suspended blood pump via multiobjective optimization by Reza Sahebi-Kuzeh Kanan, Hanieh Niroomand-Oscuii, Habib Badri Ghavifekr, Farzan Ghalichi

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Forest canopy closure estimation in mountainous southwest China using multi-source remote sensing data by Wenwu Zhou, Wenwu Zhou, Qingtai Shu, Cuifen Xia, Li Xu, Qin Xiang, Lianjin Fu, Zhengdao Yang, Shuwei Wang

“…Forest canopy closure (FCC) is an important biological parameter to evaluate forest resources and biodiversity, and the use of multi-source remote sensing synergy to achieve high-accuracy estimate regional FCC at low cost is a current research hotspot. In this study, Shangri-La City, a mountainous area in southwest China, was considered as the research area. …”
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Methodology for diagnosing the technical condition of aviation gas turbine engines using recurrent neural networks (RNN) and long short-term memory networks (LSTM) by O. F. Mashoshin, H. Huseynov, A. S. Zasukhin

“…The RNN and LSTM models were trained using the backpropagation through time (BPTT) algorithm to accurately forecast GTE operating parameters. …”
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Study on Subway Station Street Block-Level Land Use Pattern and Plot Ratio Control Based on Machine Learning by Mingyi Kuang, Fei Fu, Fangzhou Tian, Liwei Lin, Can Du, Yuesong Zhang

“…This study takes Panda Avenue Subway Station as a case study to analyze the evolution of land use patterns around subway stations and explore optimization strategies to enhance land development efficiency and spatial utilizationTo fill this research gap, this paper proposes a CNN-AIMatch model based on machine learning algorithm and an enhanced PLUS-Markov prediction model using the increase and decrease of floor area ratio as a control measure, which adopts an increase in plot ratio as a control measure to improve the accuracy of the Kappa coefficient in different plot ratio scenarios and the prediction of 3D urban spatial growth trends. …”
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DEVELOPMENT OF THE METHOD OF IMPLICIT STORAGE OF KEY INFORMATION USING SRAM PUF IN SMART CARDS by O. V. Malsugenov, G. S. Aliev

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Comparative Assessment of Modulation Strategies in Modular Multilevel Converters: An Attempt for a Better Compromise Between the Efficiency and Capacitor Voltages' Dispersio... by Anthony Abdayem, Jean Sawma, Adrian Beneit, Ramon Blasco-Gimenez, Flavia Khatounian, Eric Monmasson

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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…Abstract Background Metaheuristic algorithms have been widely employed to solve optimization problems, but their application in analyzing health-related data remains limited. …”
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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

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ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

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A hybrid BOA-SVR approach for predicting aerobic organic and nitrogen removal in a gas-liquid-solid circulating fluidized bed bioreactor by Shaikh Abdur Razzak, Nahid Sultana, S.M. Zakir Hossain, Muhammad Muhitur Rahman, Yue Yuan, Mohammad Mozahar Hossain, Jesse Zhu

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Air quality prediction method based on improved BCCSA and deep LSTM by Wei Shiyue, Xu Hongzhen

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"Non-destructive and rapid determination of bound styrene content of styrene-butadiene rubber latex using near-infrared spectroscopy" by LI Yan, ZHONG Ming-li, ZHU Shi-yong, CUI Jia-min, ZHANG Jian-ping, CHEN Shi-long

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Towards a Smart and Transparent Road-Based Vehicle Speed Detection System in Tanzanian Highways: A Review of Methods, Technologies, and Systems by Kevin T. Njuu, Angela-Aida K. Runyoro, Mussa A. Dida

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Optimized hybrid osprey with PSO control for improved VSC-HVDC-wind power integration by Abdulaziz Alkuhayli, Hany M. Hasanien

“…The transmission system links OWFs to the grid. The research demonstrates that the Hybrid OOPSO algorithm is superior to the genetic algorithm (GA) and PSO by enhancing setup stability and allowing fast voltage regaining following different fault cases. …”
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Integrating user demographic parameters for mouse behavioral biometric-based assessment fraud detection in online education platforms by Aditya Subash, Insu Song, Ickjai Lee, Kyungmi Lee

“…Even some advanced systems based on behavioral biometrics report comparatively lower accuracy, underscoring the ongoing challenge of achieving reliable user authentication. Furthermore, few research studies focus on behavioral biometric-based assessment fraud detection in online education platforms. …”
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