Enhancing Visual Perception in Immersive VR and AR Environments: AI-Driven Color and Clarity Adjustments Under Dynamic Lighting Conditions by Maryam Abbasi, Paulo Váz, José Silva, Pedro Martins

“…We compared our approach with state-of-the-art color constancy algorithms, including Barron’s Convolutional Color Constancy and STAR, demonstrating superior performance. …”
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Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends by Christos Kyriklidis, Aikaterini Koutouvou, Konstantinos Moustakas, Vayos Karayannis, Constantinos Tsanaktsidis

“…In the literature, there exists a gap in relation to the financial and environmental aspects of biodiesel fuel production, which should also be investigated.…”
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Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements by Shuangping Li, Bin Zhang, Junxing Zheng, Dong Wang, Zuqiang Liu

“…Existing Light Detection and Ranging (LiDAR)-based methods also require skilled professionals for scanning and subsequent point cloud processing, thereby presenting technical challenges. …”
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How does artificial intelligence shape the productivity and quality of research in business studies? A systematic literature review and future research framework by Sugandha Agarwal, Qian Long Kweh, Dima Jamali, Walton Wider, Syed Far Abid Hossain, Muhammad Ashraf Fauzi

“…Methods like machine learning and natural language processing can effectively uncover patterns and trends that conventional research methods may overlook. We also highlight significant challenges that require attention, including data privacy, intellectual property rights, and algorithmic bias. …”
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Parameter Tuning for Local-Search-Based Matheuristic Methods by Guillermo Cabrera-Guerrero, Carolina Lagos, Carolina Castañeda, Franklin Johnson, Fernando Paredes, Enrique Cabrera

“…Algorithms that aim to solve optimisation problems by combining heuristics and mathematical programming have attracted researchers’ attention. …”
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Providing contexts for classification of transients in a wide-area sky survey: An application of noise-induced cluster ensemble by Tossapon Boongoen, Natthakan Iam-On, James Mullaney

“…Besides, parameter analysis is also given as a guideline for its application.…”
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MIMO Codes for Uniform Illumination Across Space and Time in VLC With Dimming Control by Uday Thummaluri, Abhinav Kumar, Lakshmi Natarajan

“…Hence, in this paper, we propose codes with generalized algorithms for encoding and decoding that maintain consistency in the illumination across space and time and achieve the desired dimming level. …”
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Confidence-Based Fusion of AC-LSTM and Kalman Filter for Accurate Space Target Trajectory Prediction by Caiyun Wang, Jirui Zhang, Jianing Wang, Yida Wu

“…Experimental results on simulated radar-based noisy trajectory data demonstrate that the proposed method outperforms conventional algorithms, offering superior precision and robustness. …”
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Eco-efficient industrial processes: Leveraging ai-powered management for reduced environmental footprint by Mombekova Sandugash, Akhmetova Sabira, Shaimerdenova Guldana, Alisheva Sandugash, Mussirepova Elmira, Kydyrbekova Aizat, Torebay Nursaule

“…Artificial intelligence is the ability of artificial intelligence to perform actions that were previously only accessible to the human brain. Its algorithms work with data on the basis that tools perform tasks and solve named tasks. …”
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Artificial intelligence model in the cognitive and learning activities of university subjects by N. Abishev, R. Ramazanov, M. Abaideldanova, K. Chesnokova, A. Baizhumayeva

“…The authors design this model using algorithms–sets of rules that enable programs to make decisions, recognize patterns, and generate predictions based on input data relevant to the learning and cognitive processes of university subjects. …”
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MUF-Net: A Novel Self-Attention Based Dual-Task Learning Approach for Automatic Left Ventricle Segmentation in Echocardiography by Juan Lyu, Jinpeng Meng, Yu Zhang, Sai Ho Ling

“…Our proposed method not only enhances the performance of semantic segmentation but also improves the consistency of segmentation between consecutive frames.…”
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Hierarchical organization of the forebrain cholinergic system in rats by Peter Varsanyi, Kevin Alloway, Candice Chavez, Matthew R. Gielow, Peter Gombkoto, Hideki Kondo, Zoltan Nadasdy, Laszlo Zaborszky

“…Summary: The basal forebrain (BF) cholinergic system (BFCS) participates in functions that are global across the brain, such as sleep-wake cycles, but also participates in capacities that are more behaviorally and anatomically specific, including sensory perception. …”
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Amyloid cardiomyopathy: сlinical significance and diagnostic value of magnetic resonance imaging by M. V. Ezhikova, S. N. Nasonova, D. V. Ustyuzhanin, M. A. Shariya, I. V. Zhirov, S. N. Tereshchenko

“…In addition, the development of diagnostic algorithms using non-invasive imaging methods can help not only in diagnosing AC at an early stage of the disease, but also in determining the type of amyloidosis, that determines the success of timely administration of disease-modifying therapy. …”
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Model Based Control System Design Using SysML, Simulink, and Computer Algebra System by Takashi Sakairi, Eldad Palachi, Chaim Cohen, Yoichi Hatsutori, Junya Shimizu, Hisashi Miyashita

“…The integration with a CAS enables the evaluation of mathematical constraints defined in SysML parametric diagrams. The authors also show the overall approach using a Dual Clutch Transmission (DCT) and a Cruise Control System as examples.…”
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The Development and Application of Multi-Cell Elliptical Superconducting Cavity Pre-Tuning Equipment by Ahong Li, Lin Meng, Huachang Liu, Yao Yang, Qiang Chen, Bo Li, Xiaolei Wu, Peihua Qu, Mengxu Fan, Wenzhong Zhou, Cong Zhang

“…This platform integrates three main components: real-time electric field measurements, data analysis based on tuning algorithms, and automated mechanical adjustment systems. …”
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Understanding thermalization in a non-Abelian gauge theory in terms of its soft modes by Sayak Guin, Harshit Pandey, Sayantan Sharma

“…We have implemented different algorithms to appropriately describe the dynamics of soft-modes for a wide range of temperatures and under non-equilibrium conditions. …”
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The role of precision tool positioning in enhancing machining accuracy by Tuyboyov Oybek, Baydullayev Azamat, Jeltuxin Andrey, Muxiddinov Zayniddin

“…Hybrid optimization techniques, including genetic algorithms, effectively balanced the trade-off between precision and productivity, achieving a 10% reduction in production time without sacrificing accuracy. …”
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Design of Onboard Real-Time Networks Based on SDN Technology by Vasily V. Balashov, Valery A. Kostenko, Tatiana I. Ermakova

“…An important direction for future work is development of algorithms for dynamic creation of virtual link routes in course of OEC reconfiguration. …”
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Spatial-Temporal Distance Metric Embedding for Time-Specific POI Recommendation by Ruifeng Ding, Zhenzhong Chen, Xiaolei Li

“…Extensive experiments are conducted to demonstrate the effectiveness of our proposed method and results show that ST-DME outperforms state-of-the-art algorithms for time-specific POI recommendation on two public LBSNs data sets.…”
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Seeking Mechanism Improvement of Optimum Prices for New Services in Long-Distance Trains through Use of Nonlinear-in-the-Parameter Analysis Models of Price Elasticity of Demand by S. S. Pastukhov

“…Under discussion are methodical approaches to comparative appraisal of application efficiency of various type nonlinear-in-the-parameter economic and mathematical models in the context of price elasticity of demand investigations. Also discussed are application issues of such models in the areas of optimum service fees seeking and profitability management. …”
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