AI-powered approaches for enhancing remote sensing-based water contamination detection in ecological systems by Li Yang, Zhang Ziwen, Xinhao Lin, Junmiao Hei, Yixiao Wang, Ang Zhang

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Features of the Algorithmic Implementation of Difference Analogues of the Logistic Equation with Delay by Sergey D. Glyzin, Sergey A. Kashchenko, Anna O. Tolbey

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Estimation of emerald mineralization probability using machine learning algorithms by Daniela Neva-Rodriguez, Luis Hernán Ochoa-Gutierrez

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An Improved Northern Goshawk Optimization Algorithm for Mural Image Segmentation by Jianfeng Wang, Zuowen Bao, Hao Dong

“…To alleviate the aforementioned issues, this paper proposes a mural image segmentation algorithm based on OPBNGO by integrating the Northern Goshawk Optimization (NGO) algorithm with the off-center learning strategy, partitioned learning strategy, and Bernstein-weighted learning strategy. …”
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AI-enhanced patient-specific dosimetry in I-131 planar imaging with a single oblique view by Mostafa Jalilifar, Mahdi Sadeghi, Alireza Emami-Ardekani, Ahmad Bitarafan-Rajabi, Kouhyar Geravand, Parham Geramifar

“…Planar image counts, body thickness, patient BMI, age, S-values, and tissue attenuation coefficients were imported as input into the AI algorithm. …”
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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…The FIoU value of the unsupervised image cooperative segmentation algorithm reached 66.20, which is superior to the existing algorithms and can better match the real indoor scene. …”
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Dynamic path planning using a modified genetic algorithm by Awang Hendrianto Pratomo, Oyas Wahyunggoro, Hendri Himawan Triharminto

“…Genetic algorithm (GA) is well-known algorithm to find a feasible path planning which can be defined as global optimum problem. …”
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Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification by Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo

“…This study explores the use of the Random Forest (RF) algorithm as a machine learning approach to classify patients with BD and healthy controls based on electroencephalogram (EEG) data. …”
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Specifics of the Algorithmic Prescriptions in the Learning Process of the Gymnastics Exercises’ Techniques by Victor BUFTEA

“…The programmed actions of the algorithmic type are used procedurally, providing conditioning and mutual influences in approaching the subject of study, determining, at the same time, their integrative aspect. …”
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Rate of penetration prediction in drilling operations: a comparative study of AI models and meta-heuristic approaches by Fatemeh Mohammadinia, Ali Ranjbar, Fatemeh Ghazi, Seyyed Taha Hosseini

“…To further enhance model performance, metaheuristic optimization strategies such as the Crow Search Algorithm (CSA), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA) are integrated. …”
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Chronic Kidney Disease Prediction Based On Machine Learning Algorithms by Kethineni Likitha., Nithinchandra, Kumar Narendra, Sk Sajida Sultana.

“…This paper analyses the suitability of several machine learning algorithms for CKD prediction in consideration of health-related parameters like age, blood pressure, and blood glucose levels. …”
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GIS Analysis Model Integration and Service Composition Prospects by L. Ding, P. Cai, W. Huang, H. Zhang, F. Ding, W. Zhao, D. Tang, Z. Wang

“…Key algorithms are systematically integrated to optimize outcomes in urban planning, disaster management, and precision agriculture. …”
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Advancing AI in Higher Education: A Comparative Study of Large Language Model-Based Agents for Exam Question Generation, Improvement, and Evaluation by Vlatko Nikolovski, Dimitar Trajanov, Ivan Chorbev

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Decision-Time Learning and Planning Integrated Control for the Mild Hyperbaric Chamber by Nan Zhang, Qijing Lin, Zhuangde Jiang

“…Furthermore, a decision-time planning algorithm is developed and the planning process is further guided by incorporating a value network and an enhanced online policy. …”
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Design an intelligent model for suppliers productivity evaluation in sustainable supply chain by Majid Yarahmadi, Saeedeh Sakiniya

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Building Consumption Data Systems Driven by AI Plus Expert for Scientific and Technical Literature Information Resources by Guanghui YE, Kai TU, Lina HU, Li HAN, Zhiming FENG

“…Furthermore, the paper deconstructs and analyzes the risks associated with the involvement of AI in the construction of consumer-end data systems, including four types of risks: machine algorithm risks, annotation content risks, annotation data risks and application risks. …”
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Shape Optimization of Rubber Bushing Using Differential Evolution Algorithm by Necmettin Kaya

“…A differential evolution algorithm based approach is developed to optimize the rubber bushing through integrating a finite element code running in batch mode to compute the objective function values for each generation. …”
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Detection of Welding Defects Using the YOLOv8-ELA Algorithm by Yunxia Chen, Yangkai He, Lei Wu

“…To address the issue of the low precision in detecting defects in aluminum alloy weld seam digital radiography (DR) images using the current target detection algorithms, a modified algorithm named YOLOv8-ELA based on YOLOv8 is proposed. …”
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Pseudo-Target Optimization Strategy Based on Policy Iteration Algorithm by Yiming Meng, Daichen Liu, Ziyuan Wang

“…The maximum difference in the number of inflection points corresponding to different n values is nine. With the efficiency inversely proportional to the inflection point, this enables a balance between the steering characteristics of autonomous robots and the convergence speed of the algorithm in practical applications.…”
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Quasiparticle Cooling Algorithms for Quantum Many-Body State Preparation by Jerome Lloyd, Alexios A. Michailidis, Xiao Mi, Vadim Smelyanskiy, Dmitry A. Abanin

“…The effects of noise, which limits efficiency of variational quantum algorithms in near-term quantum processors, are investigated through the lens of the kinetic theory: we show how the steady-state quasiparticle populations depend on the noise rate, and we establish maximum noise values for achieving high-fidelity ground states. …”
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