Application of machine learning in the determination of rock brittleness for CO2 geosequestration by Efenwengbe Nicholas Aminaho, Mamdud Hossain, Nadimul Haque Faisal, Reza Sanaee

“…The findings of the study revealed that the geochemical composition of formation fluids is related to the brittleness index of rocks. …”
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Clinical and situational analysis structured elements of caries intensities in motivation of the algorithm’s rehabilitation of caries pathology beside flying personnel of civil avi... by G. G. Ashurov, M. K. Shokirov, G. E. Mullodzhanov, D. T. Makhmudov, M. R. Gurezov

“…Study the structured factors of caries intensities in depending of cariesology status’ level besides flying personnel of the civil aviation for the reason’s motivations of the algorithm to rehabilitations of caries pathology.MATERIALS AND METHODS. …”
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Morphological and Syntactic Properties of Conjunction KHOT’… KHOT’... and Its Semantics by V. N. Zavialov, Lianmei Li

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ALGORITHM OF SIGNAL PROCESSING IN THE RADAR SYSTEM WITH CONTINUOUS FREQUENCY MODULATED RADIATION FOR DETECTION OF SMALL-SIZED AERIAL OBJECTS, ESTIMATION OF THEIR RANGE AND VELOCITY by I. F. Kupryashkin, N. V. Sokolik

“…The paper reveals the structure and defines the steps of the algorithm. The fundamental for the algorithm under consideration is the method of the range-Doppler image composition of the scanned area using digital signal processing. …”
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Integrating Soil, Leaf, Fruitlet, and Fruit Nutrients, Along with Fruit Quality, to Predict Post-Storage Quality of Staccato Sweet Cherries by Mehdi Sharifi, William Wolk, Keyvan Asefpour Vakilian, Hao Xu, Stephanie Slamka, Karen Fong

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DESIGN AND IMPLEMENTATION OF AN INDOOR AIR QUALITY MONITORING SYSTEM BASED ON RASPBERRY PI AND ARDUINO PLATFORMS by I. Rudavskyi, L. Kovaliv, Halyna Klym

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Characterizing leaf-deposited particles: Single-particle mass spectral analysis and comparison with naturally fallen particles by Dele Chen, Hua-Yun Xiao, Ningxiao Sun, Jingli Yan, Shan Yin

“…Employing a neural network algorithm based on adaptive resonance theory, we have identified distinct compositional profiles: NFPM predominantly consists of organic carbon (OC; 31.2%) and potassium-rich components (19.1%), whereas LDPM are largely composed of crustal species (53.9–60.6%). …”
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Fibre-orientation-driven defect probability mapping for machining-induced delamination and burr minimisation in carbon fibre-reinforced polymer (CFRP) composites by Norbert Geier

“…Machining-induced burrs and delamination compromise the integrity of polymer composite components reinforced by chopped carbon tows. …”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…In this study, advanced compositional models were developed using a broad range of machine learning (ML) techniques to predict Rs efficiently and reliably. …”
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A study of government regulation’s strategy for solving the algorithmic black-box puzzle of digital platforms: a complex network-based perspective by Gehui Zhu, Mingliang Tang, Xiao Jian, Tong Mu

“…The research results and relevant discussion are as follows: First, the simulation results of government regulatory intensity indicate the government’s regulatory strength for the algorithmic black-box problem needs to be kept at an appropriate standard. …”
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INCREASE THE ACCURACY OF DETERMINING THE VALUES OF HARMONIC COMPONENTS IN ELECTRICAL SIGNALS by G. P. Mussonov, A. S. Seleznev, V. V. Fedchishin

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Wireless routeing scheme for UAV-assisted access networks based on the link path loss by Beza Negash Getu, Ali Alnoman

“…The communication route between the sender and receiver is established with awareness of the link path loss between the cooperating UAV relay nodes. Then, Dijkstra’s shortest path algorithm is used to find the optimal route that has the minimum total path loss among all other possible routes. …”
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A Solution Method for Non-Linear Underdetermined Equation Systems in Grounding Grid Corrosion Diagnosis Based on an Enhanced Hippopotamus Optimization Algorithm by Jinhe Chen, Jianyu Qi, Yiyang Ao, Keying Wang, Xin Song

“…We propose the Enhanced Biomimetic Hippopotamus Optimization (EBOHO) algorithm, which distills the river-dwelling hippo’s ecological wisdom into three synergistic strategies: a beta-function herd seeding that replicates the genetic diversity of juvenile hippos diffusing through wetlands, an elite–mean cooperative foraging rule that echoes the way dominant bulls steer the herd toward nutrient-rich pastures, and a lens imaging opposition maneuver inspired by moonlit water reflections that spawn mirror candidates to avert premature convergence. …”
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Music Emotion Classification Based on Heterogeneous Graph Neural Networks by Jing-Ying Guo, Peng Wang

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Data-Driven ANN-Based Predictive Modeling of Mechanical Properties of 5Cr-0.5Mo Steel: Impact of Composition and Service Temperature by Muhammad Ishtiaq, Saurabh Tiwari, Molakatala Nagamani, Sung-Gyu Kang, Nagireddy Gari Subba Reddy

“…The mechanical properties of steel are intricately connected to their composition and service temperature. Predicting these properties across different work temperatures using traditional statistical methods, algorithms, and equations is highly challenging due to these complex interdependencies. …”
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ODIASP: An Open‐Source Software for Automated SMI Determination—Application to an Inpatient Population by Katia Charrière, Antoine Ragusa, Béatrice Genoux, Antoine Vilotitch, Svetlana Artemova, Charlène Dumont, Paul‐Antoine Beaudoin, Pierre‐Ephrem Madiot, Gilbert R. Ferretti, Ivan Bricault, Eric Fontaine, Jean‐Luc Bosson, Alexandre Moreau‐Gaudry, Joris Giai, Cécile Bétry

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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

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Triboinformatic analysis and prediction of B4C and granite powder filled Al 6082 composites using machine learning regression models by Amit Aherwar, Anamika Ahirwar, Vimal Kumar Pathak

“…To address these challenges, machine learning (ML) has emerged as a potent approach in predicting the mechanical and tribological behavior of advanced materials, including Al-based composites. The primary aim of this study is to combine experimental methodologies with ML algorithms to accurately predict the wear and coefficient of friction for B4C-granite composites, thereby aiding in the design and manufacturing of materials with enhanced wear performance. …”
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Investigation of a Novel Noninvasive Risk Analytics Algorithm With Laboratory Central Venous Oxygen Saturation Measurements in Critically Ill Pediatric Patients by Sarah A. Teele, MD, MSHPEd, Avihu Z. Gazit, MD, Craig Futterman, MD, William G. La Cava, PhD, David S. Cooper, MD, MPH, MBA, Steven M. Schwartz, MD, MS, Joshua W. Salvin, MD, MPH

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Automatic Analysis of Ultrasound Images to Estimate Subcutaneous and Visceral Fat and Muscle Tissue in Patients with Suspected Malnutrition by Antonio Cuesta-Vargas, José María Arjona-Caballero, Gabriel Olveira, Daniel de Luis Román, Diego Bellido-Guerrero, Jose Manuel García-Almeida

“…<b data-eusoft-scrollable-element="1">Conclusions:</b> These findings highlight the system’s potential for clinical use while emphasizing the need for further algorithmic refinements to improve precision in area calculations.…”
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