Evolutionary Game Analysis of Citizen Data Collection Under Different Reward- Penalty Mechanisms by Zhe Tan, Tianzhe Liu, Fusheng Li, Huizhen Cao

“…The focus is on comparing and analyzing evolutionarily stable strategies of a collector and a citizen, followed by computational simulations. Key findings include: 1) Under no reward-penalty and static reward-penalty mechanisms, evolutionarily stable strategies typically result in either consistently active or consistently passive behaviors by both the collector and the citizen. …”
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RELIABILITY ANALYSIS OF TELESCOPIC ARM OF PIELINE-CATCHING VEHICLE BASED ON SEMI-SUPERVISED DEEP NEURAL NETWORK by YUAN Guozhi, LIU Wei, YAN Zilong, ZHANG Ruilin, ZHAO Mingxuan, SANG Jianbing

“…Traditional methods for reliability face challenges like high computational costs and low accuracy dealing with multidimensional uncertainties. …”
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Development and Analysis of a Methodology for Selecting Infrastructure Metrics for Predictive Incident Monitoring by Andrew Egorkin

“…The methodology is integrated into an industrial data processing pipeline (Prometheus → Kafka → Spark 3.5 → MLflow 2.11) and aligns with the data minimization principle outlined in GOST R 57580.1-2017 and FSTEC guidelines for information protection.…”
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Application of fuzzy credibility graph in climate mitigation strategy assessment by Ihsan Ullah, Saleem Abdullah, Marya Nawaz, Hameed Gul Ahmadzai

“…For this, we collect the expert information and the fuzzy credibility edges information about the climate change mitigation strategies, and process the proposed model to compute the relative closeness of the alternatives and identify the most suitable climate change mitigation strategy. …”
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Altering ROY polymorph crystallization in conventional and microfluidic crystallizers with acoustic cavitation by Mohammed Noorul Hussain, Arthur Demuynck, Tom Van Gerven

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Energy analysis and feasibility of using solar energy in the novel hybrid system of a solar hot plate dryer in Iran by Kimia Taki, Bahram Hosseinzadeh Samani, Mahsa Forouzandeh, Zahra Shafiee

“…Abstract The drying process in agriculture is energy-intensive and traditionally relies on fossil fuels, which are becoming less reliable and more expensive. …”
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Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints by Yinglong Dang, Xiaoguang Gao, Zidong Wang

“…A Bayesian network (BN) is an uncertainty processing model that simulates human cognitive thinking on the basis of probability theory and graph theory. …”
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Enhancement of electric field uniformity using 3-phase circular electrodes in RF heating applications by Jiyoung Moon, Bohwan Choi, Jinsoo Choi, Junhyeong Park, Byunghun Lee

“…Abstract This paper introduces a novel electrode structure designed to enhance electric field uniformity in radio frequency heating applications, such as food processing. The proposed 3-phase circular electrode structure, the top electrode, consists of innermost, middle, and outermost electrodes, with each electrode supplied with a voltage of a different phase. …”
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Urban change detection with airborne LiDAR for hostilities’ impact estimation: a case study of Kharkiv by Sergiy V. Kostrikov, Denys S. Serohin

“…Statistical characteristics of computed urban changes reveal distinct spatial patterns, enabling differentiation between the routine urban development observed in Tallinn, Estonia, and the war-affected Kharkiv. …”
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Gravitational entropy is observer-dependent by Julian De Vuyst, Stefan Eccles, Philipp A. Höhn, Josh Kirklin

“…Our work makes extensive use of the formalism of quantum reference frames (QRF); indeed, as we point out, the ‘observers’ considered here and in the previous works are nothing but QRFs. In the process, we demonstrate that the description of physical states and observables invoked by Chandrasekaran et al. [1] is equivalent to the Page-Wootters formalism, leading to the informal slogan “PW = CLPW”. …”
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Psychosocial impact of dental aesthetics among sudanese high school students. by Mustafa Abualela, Amal Hussein Abuaffan

“…Dental aesthetics were assessed by the IOTN Aesthetic Component (self-rated IOTN-AC). The data was processed and analyzed using computer software program “SPSS” (Statistical Package for Social Sciences) version 17. …”
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Transfer learning strategies for neural networks: A case study in amine gas treating units by Daniela Galatro, Manoj Machavolu, Gladys Navas

“…This work presents a framework where strategies are applied within a workflow created to enhance the accuracy and transferability of the transfer learning process. We used a case study for predicting corrosion rates in gas-treating units, employing datasets from two different amines (A and B), where the amine A dataset is large compared to the amine B dataset. …”
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Architectural design methods based on image recognition technology and virtual VR by Feng Li

“…The combination of visible image recognition and augmented reality can achieve intelligent processing and application of drawing information, improve design efficiency and quality, and optimize design experience.…”
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Effect of Low-Dose MDCT and Iterative Reconstruction on Trabecular Bone Microstructure Assessment. by Felix K Kopp, Konstantin Holzapfel, Thomas Baum, Radin A Nasirudin, Kai Mei, Eduardo G Garcia, Rainer Burgkart, Ernst J Rummeny, Jan S Kirschke, Peter B Noël

“…We investigated the effects of low-dose multi detector computed tomography (MDCT) in combination with statistical iterative reconstruction algorithms on trabecular bone microstructure parameters. …”
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Automatic eddy detection in the MIZ based on YOLO algorithm and SAR images by Nikita Sandalyuk, Eduard Khachatrian

“…Thus, we explored the feasibility of automating the eddy detection process by applying YOLOv8, a state-of-the-art computer vision model, to high-resolution synthetic aperture radar data, specifically targeting the dynamic region of the Fram Strait. …”
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Machine learning with knowledge constraints for design optimization of microring resonators as a quantum light source by Parisa Sadeghli Dizaji, Hamidreza Habibiyan

“…Abstract With careful design and integration, microring resonators can serve as a promising foundation for developing compact and scalable sources of non-classical light for quantum information processing. However, the current design flow is hindered by computational challenges and a complex, high-dimensional parameter space with interdependent variables. …”
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Comparison of various machine learning regression models based on Human age prediction by Dr.Manaf K Hussein

“…Recent advancements in machine learning have made it possible for computers to anticipate classification and prediction outcomes more accurately than humans. …”
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Qualitative and Quantitative Assessment of the Regenerate Bone Formed During Intramedullary Limb Lengthening Using a Goat (Caprine) Tibia Model: A Pilot Study by Anirejuoritse Bafor, Aidan Isler, Kell Sprangel, Sara McBride-Gagyi, Christopher A. Iobst

“…Introduction: With the increasing popularity of intramedullary limb lengthening, it has been observed that the regenerate bone formed during this process appears visually different from the regenerate bone formed during extramedullary limb lengthening using external fixators. …”
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AI-Driven Gamification and Biotechnical Systems in Cardiovascular Monitoring of Cyclic Sport Athletes by Shukurova Sayyora, Pulatova Mavlyuda, Adilbekov Taxir

“…Additionally, the analytical hierarchy process (AHP) framework is used to organize a systematic evaluation of predictive modeling techniques to identify some best practices related to specific biométrie parameters and athlete performance metrics.This methodological application then furthers the examination of the physiological and computational implications related to the use of AI-driven cardiovascular monitoring in terms of accuracy, efficiency, and adaptability. …”
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A lightweight framework to secure IoT devices with limited resources in cloud environments by Vivek Kumar Pandey, Dinesh Sahu, Shiv Prakash, Rajkumar Singh Rathore, Pratibha Dixit, Iryna Hunko

“…Abstract Billions of IoT devices increasingly function as gateways to cloud infrastructures, making them an inevitable target of cyber threats because of the limited resources and low processing capabilities of IoT devices. This paper proposes a lightweight decision tree-based intrusion detection framework suitable for real-time anomaly detection in a resource-constrained IoT environment. …”
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