Computational analysis of entropy generation in EMHD micropolar dusty fluid flow incorporating esterification process by Aziz Ullah Awan, Muzammil Hussain, Bagh Ali, N. Ameer Ahammad, Fehmi Gamaoun, Jeevan Kafle, Sohail Nadeem

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Clinical XLNet-based End-to-End Knowledge Discovery on Clinical Text Data using Natural Language Processing by Naveen S. Pagad, Pradeep Nijalingappa, Tulika Chakrabarti, Prasun Chakrabarti, Pugazhenthan Thangaraju

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Pseudotachylyte Formation in Brittle–Ductile Transition of the Anning River Fault Zone: Implications for Seismic Processes by Wenhao Dai, Yongsheng Zhou, Huiru Lei, Xi Ma, Jiaxiang Dang, Sheqiang Miao, Shimin Liu, Changrong He

“…Pseudotachylytes and cataclasites record transient seismic slips within the brittle–ductile transition zone and ductile flow layers. Investigating the mechanisms of pseudotachylytes can provide the most direct geological evidence for revealing seismic fault slip and coseismic processes. …”
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Computational fluid dynamic analysis of temperature distribution on the integrated pyrolysis–fractionation process of used oil by Maya Ramadianti Musadi, Etih Hartati, Sofia Umaroh, Adinda Azzahra Dwi Maharani, Senna Joseph Yogaswara, Faza Rosada, Siti Salma Humaidah

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THE RESULTS OF EXPERIMENTAL RESEARCH OF THE PROCESS OF SOIL DIGGING BY MODERNIZED WORKING BLADES UNDER HYDROSTATIC PRESSURE by S. Zh. Тurgumbaev, R. A. Kabashev

“…Provided that such reduction of the soil digging resistance is due to the penetration of the water through the longitudinal gap at the front face of the blade, which substantially reduces the coefficient of friction between the front face of the blade and a soil layer. The experimental studies conducted on the stand of physical modeling for study the process of digging the soil under hydrostatic pressure. …”
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Modeling of chronic ovary inflammation by N. А. Volkova, M. S. Yuhta, Т. А. Yurchuk, L. V. Stepanuk, E. D. Ivanova, E. V. Pavlovich

“…The proliferation of connective tissue was noted under the basement membrane of the follicles, between generative elements and ovarian medulla. To the 31st day of modeling granulosa cell layers lost ordered structure, reflected in the increasing of intercellular space and accumulation of fluid between the cells. …”
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Piezoelectric Sensors Placement Strategy for Accurate Acoustic Data Evaluation in Cavitation-induced Erosion Processes by A. Nasseroleslami, A. Sarreshtehdari, M. S. Seif

“…The Film Applicator has been employed as the optimal tool for achieving a uniform color and a thin paint layer on the sample plate. Through CFD modeling, potential cavitation zones are identified under various test conditions to refine the placement of piezoelectric sensors in experimental tests. …”
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Study on dynamic response characteristics of jointed coal mass under impact load by Jianfeng LIU

“…To further clarify the response characteristics of the jointed multi-layer coal body during the drop hammer impact process, the domestic discrete element software Matdem is used to construct a drop hammer impact discrete element model. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. …”
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Deep Learning Techniques in DICOM Files Classification: A Systematic Review by Mabirizi, Vicent, Kawuma, Simon, Natumanya, Deborah, Wasswa, William

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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…Supervised learning models of GRASS GIS were tested and compared including the Gaussian Naive Bayes (GaussianNB), Multi-layer Perceptron classifier (MLPClassifier), Support Vector Machines (SVM) Classifier, and Random Forest Classifier (RF). …”
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The Rocca Malatestiana of Verucchio. SCAN to HBIM process for the digitisation of cultural site with severe topography condition by Luca Rossato, Fabio Planu, Greta Montanari

“…<br />The integrated scanning and HBIM implementation process has resulted in a coherent and highly informative digital model of the material, historical and typological conformation of the various parts of the artefact. …”
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Evaluation of the Parameters and Conditions of Process in the Ethylbenzene Dehydrogenation with Application of Permselective Membranes to Enhance Styrene Yield by Paulo Jardel P. Araújo, Manuela Souza Leite, Teresa M. Kakuta Ravagnani

“…A mathematical model was developed, incorporating the various mass transport mechanisms found in each of the membrane layers and in the catalytic fixed bed. …”
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Transport in reverse osmosis membranes: observations and comments on the pore flow model versus the solution‒diffusion model by Takeshi Matsuura, Michael D. Guiver, Woei Jye Lau, Ahmad Fauzi Ismail

“…It is interesting to note that, according to Srinivasa Sourirajan, one of the co-inventors of cellulose acetate RO membrane, their work was guided by the Preferential Sorption‒Capillary Flow model. Moreover, he wrote that this pore model was based on the presence of a pure water layer at the salt solution‒air interface, which could be predicted by the Gibbs Adsorption Isotherm. …”
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Modelling of 3D concrete printing based on SPH method with the Herschel–Bulkley-Papanastasiou rheology model by Yang Wang, Liu-chao Qiu, Song-gui Chen, Yi Liu, Shuo Li

“…Furthermore, by utilising process parameters furnished by simulation cases, it is possible to determine the critical conditions under which filaments printed by different nozzle shapes are vulnerable to tearing, and the corresponding critical intervals when tearing occurs are also defined. 3DPC experiments verify these findings and confirm that SPH simulation provides additional information on the geometric characteristics of single-layer structures, as well as physical quantities that cannot be straightforwardly measured.…”
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Mercury capture using functionalized metal-organic framework encapsulated in dual hydrogel layers of β-cyclodextrin and polyethylenimine: Synthesis, characterization, adsorption, t... by Asma O. Obaid, Amnah S. Al Zbedy, Kamelah S. Alrashdi, Meshari M. Aljohani, Sara A. Alqarni, Ameena M. Al-Bonayan, Hana M. Abumelha, Nashwa M. El-Metwaly

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Optimization of Oil Yield from the Macro Algae Spirogyra by Solvent Extraction Process Using RSM and ANN by S. Aravind, Debabrata Barik, Nagaraj Ashok

“…The coefficient of determination, R2 of 98.92%, and the mean absolute percentage deviation (MAPD) of 0.492% for ANN revealed that the current model created with a network topology of 3 : 11 : 1 with tansig (hyperbolic tangent sigmoid) transfer function in the input layer and purelin (pure linear) transfer function in the output layer trained with trainlm (Levenberg–Marquardt) algorithm found to provide the optimal solution with better accuracy in prediction of the output. …”
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Cascade Machine Learning Approach Applied to Short-Term Medium Horizon Demand Forecasting by Bruno Brentan, Ariele Zanfei, Martin Oberascher, Robert Sitzenfrei, Joaquin Izquierdo, Andrea Menapace

“…This work proposes a cascade model incorporating Long–Short-Term Memory (LSTM) and Multi-Layer Perceptron (MLP), which offers a more reliable model to forecast short-term (hourly) and medium horizon (week) water demand. …”
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Thermo mechanical Finite Element Analysis of the plasma Wire Arc Additive Manufacturing process in DEFORM® 13 by Marcel Czipin, Alexander Wenda, Karin Hartl, Emre Akalin, Martin Stockinger

“…A single layer quad-mesh approach was employed alongside dummy heat sources to simulate the process by accurate layer wise activation within the arc welding module. …”
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Multi-Mode Hand Gesture-Based VR Locomotion Technique for Intuitive Telemanipulation Viewpoint Control in Tightly Arranged Logistic Environments by Jaehoon Jeong, Haegyeom Choi, Donghun Lee

“…The system utilizes a head-mounted display (HMD) camera to capture hand skeleton data, which a multi-layer perceptron (MLP) model processes. The model classifies gestures into three modes: translation, rotation, and fixed, corresponding to fist, pointing, and unknown gestures, respectively. …”
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