Models, systems, networks in economics, engineering, nature and society by N.D. Pechalin

“…An algorithm is proposed and an approbation of the search and selection of optimal control when influencing the system is carried out in order to carry out a technologically complex project with limited resources and time. …”

Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

“…This design enables DVE-YOLO to capture dynamic object features, reveal correlations of detected objects across frames, and facilitate efficient tracking and detection. …”
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Low-Frequency Model Constrained Petrophysical Estimation Based on Canonical Correlation Analysis by Hanming Chen, Lingqian Wang, Yamei Cao, Ning Wang, Hui Zhou, Mingyu Yang

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Development of a low-cost modular snake-like robot with 2-DOF modules for rescue operations in collapsed environments with fast communication by G Seeja, Arockia Selvakumar Arockia Doss, Berlin Hency, AS Faraz Ahmed

“…Locating trapped or lost individuals is critical in search and rescue, directly impacting survival rates and responder safety. Rapid victim detection enhances response efficiency and enables timely rescue actions. …”
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Technological Culture and Politics: Artificial Intelligence as the New Frontier of Political Communication by Daniele Battista, Emiliana Mangone

“…Through this type of analysis, knowledge will contribute to the understanding of the complex dynamics related to the use of AI in politics by offering a critical perspective and a picture of the different connections.…”
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Lightweight Attention-Based CNN Architecture for CSI Feedback of RIS-Assisted MISO Systems by Anming Dong, Yupeng Xue, Sufang Li, Wendong Xu, Jiguo Yu

“…This approach not only improves network representational efficiency but also reduces redundant computations, leading to optimized computational complexity. …”
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Multi‐trait multi‐environment genomic prediction of preliminary yield trial in pulse crop by Rica Amor Saludares, Sikiru Adeniyi Atanda, Lisa Piche, Hannah Worral, Francoise Dariva, Kevin McPhee, Nonoy Bandillo

“…Abstract Phenotypic selection of complex traits such as seed yield and protein in the preliminary yield trial (PYT) is often constrained by limited seed availability, resulting in trials with few environments and minimal to no replications. …”
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Synthesis and evaluation of Moringa-functionalized Fe nanoparticles in water treatment via RSM by Sehrish Fatima, Naeem Abbas, Javed Iqbal, Misbah Irshad, Mian Habib Ur Rahman Mahmood, Muhammad Aadil, Muhammad Hammad Khan

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Performance of single-agent and multi-agent language models in Spanish language medical competency exams by Fernando R. Altermatt, Andres Neyem, Nicolas Sumonte, Marcelo Mendoza, Ignacio Villagran, Hector J. Lacassie

“…Single-agent strategies included Zero-Shot, Few-Shot, Chain-of-Thought (CoT), Self-Reflection, and MED-PROMPT, while multi-agent strategies involved Voting, Weighted Voting, Borda Count, MEDAGENTS, and MDAGENTS. …”
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Machine learning for asphaltene polarizability: Evaluating molecular descriptors by Arun K. Sharma, Owen McMillan, Selsela Arsala, Supreet Gandhok, Rylend Young

“…Asphaltenes are complex polycyclic organic molecules in crude oil that readily aggregate and precipitate under varying thermodynamic conditions. …”
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Machine learning enables legal risk assessment in internet healthcare using HIPAA data by Shixian Liu, Hailing Liu, Siyu Fan, Leming Song, Zeyu Wang

“…DNN demonstrates strong capabilities in handling complex nonlinear relationships, and XGBoost further improves classification accuracy by optimizing decision tree models through gradient boosting. …”
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Investigating the effect of localized heat treatment and bioinspired structure on the crashworthiness of bumper subsystem by Israel Endale Asres, Ermias Gebrekidan Koricho, Ephrem Zeleke Kassa

“…New Car Assessment Program (NCAP) standard compliant numerical simulations were used to evaluate the performance of all the alternative models. For the selection of the best performing alternative model, complex proportional assessment method (COPRAS) is used. …”
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Design and analysis of a single source seven level common ground SC based multilevel inverter topology with high reliability by Md Tahmid Hussain, Adil Sarwar, Md Reyaz Hussan, Mohd Tariq, Shafiq Ahmad, Farhad Ilahi Bakhsh, Mohammad Zaid, Adamali Shah Noor Mohamed, Baseem Khan

“…Existing multilevel inverter (MLI) topologies often suffer from high voltage stress, increased THD, and complex control requirements. This study aims to design a compact inverter with improved performance metrics, including efficiency, total harmonic distortion (THD), and voltage stress. …”
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Applications of machine learning and deep learning in agriculture: A comprehensive review by Muhammad Waqas, Adila Naseem, Usa Wannasingha Humphries, Phyo Thandar Hlaing, Porntip Dechpichai, Angkool Wangwongchai

“…The findings underscore that ML and DL facilitate the analysis of complex datasets, enabling data-driven decision-making, reducing reliance on subjective expertise, and improving farm management strategies. …”
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Molecular mechanisms underlying leaf enlargement in spaceflight-mutated ‘Deqin’alfalfa by Qian Kuang, Rui Ding, Die Huang, Chenggang He, Hua Jiang

“…Abstract Background As a tetraploid plant, alfalfa (Medicago sativa L.) exhibits complex genetic mechanisms that pose significant challenges for the integration and stabilization of superior traits. …”
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Clinical Performance of Bulk-Fill Versus Incremental Composite Restorations in Primary Teeth: A Systematic Review of In Vivo Evidence by Maria Sarapultseva, Desheng Hu, Alexey Sarapultsev

“…Two reviewers independently performed study selection, data extraction, and risk-of-bias assessments using the Cochrane RoB 2.0 tool. …”
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Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation by Adil Khan, Majid Khan, Waseem Akhtar Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen

“…GEP is a computational technique that mimics biological gene expression processes to evolve computer programs or models capable of solving complex problems through the iterative generation, selection, and recombination of code segments. …”
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari, M. Murugappan, Javeed Shaikh-Mohammed, Muhammad E. H. Chowdhury

“…Most improved RF versions modify attribute selection processes or combine them with other machine learning algorithms, increasing their complexity. …”
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Characterization of “sweet spots” and optimization of volume fracturing parameters in deep tight reservoirs of Subei Basin by TANG Jiandong, ZHANG Shunkang, LIN Shiwei, GE Zhengjun, LIN Bo

“…A multi-parameter comprehensive characterization and evaluation methodology was established for tight sandstone reservoirs, accurate delineation of tight reservoirs and effectively guiding reservoir classification and “sweet spot” selection. For volume fracturing, engineering techniques were implemented such as increasing fracture-controlled volume, using temporary plugging and diversion to enhance fracture complexity, and employing combined proppant injection to increase fracture filling volume. …”
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Performance Comparison of Multi-Objective Optimizers for Dynamic Balancing of Six-Bar Watt Linkages Using a Fully Cartesian Model by María T. Orvañanos-Guerrero, Claudia N. Sánchez, Luis Eduardo Robles-Jiménez, Sara Carolina Gómez-Delgado

“…A wide set of optimization methods is analyzed and compared, and among them, the S-Metric Selection Evolutionary Multi-objective Optimization Algorithm (SMS-EMOA) demonstrates superior performance. …”
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