A model of indoor thermal condition based on traditional acehnese houses using artificial neural network by Muslimsyah, Abdul Munir, Yuwaldi Away, Abdullah, Teuku Yuliar Arif, Andri Novandri

“…This study highlights the importance of considering traditional architecture in achieving comfortable living conditions. Through the integration of cultural values, architectural design, and environmental factors, this research evaluates the prediction of thermal conditions within Rumoh Aceh based on building orientation and location, serving as guidelines for architects in designing buildings in the Aceh region. …”
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A Novel Dynamic Weight Neural Network Ensemble Model by Kewen Li, Wenying Liu, Kang Zhao, Mingwen Shao, Lu Liu

“…In order to solve the problem that K -value cannot be selected automatically in the K -means clustering algorithm when conducting the selection of individuals, the K -value optimization algorithm based on distance cost function is put forward to find the optimal K -values. …”
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Hybrid mechanism and data driven approach for high-precision modeling of gas flow regulation systems of VFDR by Zongyu Zhang, Huan Wang, Meng Tang, Jie Zhang, Xinhan Hu

“…To mitigate dynamic response errors in the mechanistic model, a compensation strategy integrating error and similarity evolution with extreme learning machine (ELM) was implemented to generate compensation value. …”
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An Energy-Domain IR NUC Method Based on Unsupervised Learning by Ting Li, Xuefeng Lai, Sheng Liao, Yucheng Xia

“…The maximum change in the image corrected using the proposed algorithm was 1.29%.…”
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Finite Element Modeling of the behavior of Hybrid-Fiber Reinforced Concrete under Triaxial Compression by Ali Naserifar

“…In this research, the integration algorithm of the structural equations and the implementation of the William-Warnke behavioral model for fiber reinforced concrete are presented. …”
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A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…We derive a sample parameter correlation quantization matrix from oil chromatography fault data using association rules, which serves as the initial value for the NCA algorithm’s training metric matrix. …”
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Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

“…An improved DPC-AWKNN segmentation algorithm is proposed for segmenting the apple body. …”
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Healthcare Futures: Opportunities, Challenges and Risks in a Blockchain-Driven Environment by Robert Goldberg, Peter J. Pitts, Jennifer Hinkel

“…The integration of blockchain technology and smart contracts presents a transformative opportunity in healthcare financing by enabling the creation and trading of futures contracts based on the value of medical innovations. …”
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Research on the prediction model of UV spectral water quality parameters based on INFO-LSSVM by Li Chao, Li Wen, Luo Xueke, Yu Zhuofan, Han Yakai, Yu Facheng

“…The common nitrate nitrogen (NO3-N) and nitrite nitrogen (NO2-N) in water quality testing as the solution to be measured, the UV-visible absorption spectral data filtering, spectral data integration, the establishment of INFO-LSSVM nonlinear prediction model; comparison of GA-LSSVM, PSO-LSSVM and LSSVM algorithm models, the results show that the INFO-LSSVM prediction model is effective, and pro- vides a good solution for water quality testing. …”
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Predictive modeling of hydrogen production and methane conversion from biomass-derived methane using machine learning and optimisation techniques by Adegboyega Bolu Ehinmowo, Bright Ikechukwu Nwaneri, Joseph Oluwatobi Olaide

“…In this study, the integration of various machine learning algorithms with Bayesian optimisation, firefly algorithm, Levenberg-Marquardt, and differential evolution techniques were investigated for hydrogen production via thermocatalytic methane decomposition. …”
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Target behavior recognition of fully mechanized mining face based on multi-information self-attention by Yi YANG, Yanlei YANG, Tian WANG, Keping WANG

“…The algorithm is transformed by an ONNX model and accelerated using TensorRT to enable GPU inference, thereby enhancing its value for engineering applications. …”
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Spatial and temporal distribution patterns and factors influencing hepatitis B in China: a geo-epidemiological study by Kang Fang, Na Cheng, Chuang Nie, Wentao Song, Yunkang Zhao, Jie Pan, Qi Yin, Jiwei Zheng, Qinglin Chen, Tianxin Xiang

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Research on the Application of User Recommendation Based on the Fusion Method of Spatially Complex Location Similarity by Lili Wang, Ting Shi, Shijin Li

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A Study on Fitting Longitudinal Profiles of Railway Station Tracks by Junhao Zeng, Lianbo Deng, Wenqin Deng, Jinglan Jiang, Yuantian Huang

“…Finally, the effectiveness of the proposed model and algorithm is validated through a case study. With a total grade value adjustment of only 0.45‰ based on the least squares method, the proposed fitting algorithm achieves a 38.7% reduction in track raising and lowering compared to manual fitting. …”
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A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022 by W. Li, W. Li, Z. Yao, Z. Yao, Y. Qu, Y. Qu, H. Yang, Y. Song, L. Song, L. Wu, Y. Cui, Y. Cui

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Cumulative Prospect Theory-Driven Pigeon-Inspired Optimization for UAV Swarm Dynamic Decision-Making by Yalan Peng, Mengzhen Huo

“…To address the dynamic decision-making and control problem in unmanned aerial vehicle (UAV) swarms, this paper proposes a cumulative prospect theory-driven pigeon-inspired optimization (CPT-PIO) algorithm. Gray relational analysis and information entropy theory are integrated into cumulative prospect theory (CPT), constructing a prospect value model for Pareto solutions by setting reference points, defining value functions, and determining attribute weights. …”
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Internship management system with passwordless authentication for university stakeholders by St. Joseph M. Lumbog, Maricel M. Gaspar

“…The authentication method used in the system utilizes a Time-Based One-Time Password (TOTP), which operates security keys in the form of one-time passwords (OTP) that are sent to the users via email, short message service (SMS), or mobile application. The TOTP algorithm is used in the system, allowing time value as a moving factor. …”
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The Intuitive Trap: Understanding Cognitive Bias in the Digital Age by Cansu Akoglan

“…The fast-paced, heuristic-driven nature of digital content - ranging from rapidly evolving news feeds to algorithm-driven information ecosystems - means that intuitive processes often dominate user engagement, leading to cognitive biases. …”
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Optimal Dispatch of a Virtual Power Plant Considering Distributed Energy Resources Under Uncertainty by Obed N. Onsomu, Erman Terciyanlı, Bülent Yeşilata

“…This study thoroughly explores the dispatch of battery energy storage systems (BESSs) and diesel generators (DGs) through a distributionally robust joint chance-constrained optimization (DR-JCCO) framework utilizing the conditional value at risk (CVaR) and heuristic-X (H-X) algorithm, structured as a bilevel optimization problem. …”
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Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…Statistics of 0.3978 Moran index and P_Value value of 0.0000 showed spatial autocorrelation of soil moisture. …”
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