Evaluation of liver fibrosis in patients with metabolic dysfunction-associated steatotic liver disease using ultrasound controlled attenuation parameter combined with clinical feat... by LIU Chunyu, TANG Jingkuan, ZHAO Wei

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Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension by Zunfeng Fu, Jing Wang, Wenyi Shen, Yanqing Wu, Jiajun Zhang, Yan Liu, Chongqiang Wang, Yanlin Shen, Ye Zhu, Weifu Zhang, Chunju Lv, Lin Peng

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Modeling of vibrational processes in planetary vibrodrive with kinematically unbalanced mass by Zakirov R.G.

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Comparison of Lithuanian and Polish Consonant Phonemes Based on Acoustic Analysis – Preliminary Results by Gražina KORVEL, Olga KURASOVA, Bożena KOSTEK

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Optimization of the parameters of tillage units by Volodymyr Nadykto, Gennadii Golub, Taras Hutsol, Savelii Kukharets, Serhii Pohorilyi, Maciej Kuboń, Iryna Horetska, Jakub Gajda, Sylwester Tabor

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Goalie: Defending Against Correlated Value and Sign Encoding Attacks by Rongfei Zhuang, Ximing Fu, Chuanyi Liu, Peiyi Han, Shaoming Duan

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Optimizing anomaly detection models for edge IIoT with an enhanced firefly algorithm-based hyperparameter tuning strategy by Mohemmed Yousuf Rahamathulla, Mangayarkarasi Ramaiah

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Joint optimization of AI large and small models for surface temperature and emissivity retrieval using knowledge distillation by Wang Dai, Kebiao Mao, Zhonghua Guo, Zhihao Qin, Jiancheng Shi, Sayed M. Bateni, Liurui Xiao

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Novel multifractal-based classification model for the quality grades of surrounding rock within tunnels by Junjie Ma, Tianbin Li, Zhen Zhang, Roohollah Shirani Faradonbeh, Mostafa Sharifzadeh, Chunchi Ma

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The minimum stiffness of machine tools for ensuring the desired roughness of the machined surface of the workpiece by Erokhin V.V.

“…In the article the method of calculating the optimum modes of processing of working surfaces of machine tool parts. Submitted by the expert quality parameter, which allows you to calculate the discrete values of machine tool surfaces quality parameters details. …”
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ANN and machine learning based predictions of MRR in AWSJ machining of CFRP composites by K. Ramesha, N. Santhosh, B. A. Praveena, Banakara Nagaraj, N. Channa Keshava Naik, Quadri Noorulhasan Naveed, Ayodele Lasisi, Anteneh Wogasso Wodajo

“…The integration of RSM and machine learning (ML) techniques enabled effective optimization of machining parameters, showcasing the potential for cost-effective and high-precision CFRP machining. …”
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Multiresponse Optimization of Wire Electrical Discharge Machining Parameters for Ti-6Al-2Sn-4Zr-2Mo (α-β) Alloy Using Taguchi-Grey Relational Approach by A. Perumal, C. Kailasanathan, Balasubramaniam Stalin, S. Suresh Kumar, P. R. Rajkumar, T. Gangadharan, G. Venkatesan, N. Nagaprasad, V. Dhinakaran, Ramaswamy Krishnaraj

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Study on Machining Parameters Analysis and Optimization for Material Removal Rate and Surface Roughness During Dry Turning of AZ31B Magnesium Alloy Using Ceramic-Coated Carbide Tool Inserts by Thabiso Moral Thobane, Sujeet Kumar Chaubey, Kapil Gupta

“…To address the challenge of optimizing conflicting machining responses, desirability function analysis (DFA) and grey relational analysis (GRA) were employed to identify the optimal turning parameters for conflicting machinability indicators or responses. …”
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Acoustic modelling of machines using the inversion method for the purposes of the acoustic assessment of machines by Dariusz PLEBAN

“…To calculate these parameters by using the inversion method one must know the real distribution of sound pressure around the machine. …”
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Advanced Machine Learning Approaches for Predicting Machining Performance in Orthogonal Cutting Process by Sabrina Al Bukhari, Salman Pervaiz

“…We investigated the orthogonal cutting process by using machine learning models to predict its performance. …”
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New categorized machine learning models for daily solar irradiation estimation in southern Morocco's, Zagora city by Zineb Bounoua, Laila Ouazzani Chahidi, Abdellah Mechaqrane

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Investigation of cutting responses during high-speed machining of Ti6Al4V alloy: Finite element analysis by Chtioui Anas, Ouballouch Aissa, Mouchtachi Ahmed

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Analytical research of the relation between hydraulic mechanism of the axial pressure of the drilling rig and technological parameters of the drilling regimes of the geological exp... by V. V. Kulikov, S. . Zavacky

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Basrah Score: a novel machine learning-based score for differentiating iron deficiency anemia and beta thalassemia trait using RBC indices by Salma A. Mahmood, Asaad A. Khalaf, Saad S. Hamadi

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Global Sagittal Angle and T9-tilt seem to be the most clinically and functionally relevant global alignment parameters in patients with Adult Spinal Deformity by Nabil Nassim, Elio Mekhael, Rami El Rachkidi, Maria Saadé, Elma Ayoub, Ali Rteil, Elena Jaber, Celine Chaaya, Rami Rehayem, Julien Abi Nahed, Mohamad Karam, Ismat Ghanem, Abir Massaad, Ayman Assi

“…All subjects filled HRQoL questionnaires: ODI, SF-36, VAS for pain and BDI (Beck's Depression Inventory). 3D gait analysis was performed to calculate kinematic and spatio-temporal parameters. A machine learning model predicted gait parameters and HRQoL scores from global alignment parameters. …”
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