Unmanned aerial vehicle hierarchical detection of leaf blast in rice crops based on a specific spectral vegetation index by Guangming LI, Dongxue ZHAO, Jinpeng LI, Shuai FENG, Chunling CHEN

“…ANOVA and the Relief-F algorithm were used to identify spectral bands sensitive to the disease and developed a new vegetation index, the rice blast index (RBI). …”
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The optimum sizing of zero-emission water-cooled VCR cycle based on exergo-economic-environmental assessment criteria by triple-objective MPSO by Seyedeh Mohadeseh Miri, Mahmood Farzaneh-Gord, Alireza Hosseinpour, Mohit Bajaj, Ievgen Zaitsev

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Hedge-Algebra-Based Phase-Locked Loop for Distorted Utility Conditions by Dinko Vukadinović, Tien Duy Nguyen, Cat Ho Nguyen, Nhu Lan Vu, Mateo Bašić, Ivan Grgić

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A new iterative multi-step method for solving nonlinear equation by Muhammad Usman, Javed Iqbal, Alamgir Khan, Ikram Ullah, Hasib Khan, Jehad Alzabut, Hisham Mohammad Alkhawar

“…This study introduces an advanced iterative technique designed to solve nonlinear equations with simple roots efficiently. The newly developed algorithm achieves an impressive convergence order of sixteen, utilizing only five functional evaluations per iteration. …”
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Co-Optimization of Market and Grid Stability in High-Penetration Renewable Distribution Systems with Multi-Agent by Dongli Jia, Zhaoying Ren, Keyan Liu

“…By bridging market participation with operational resilience, this work contributes actionable insights for developing interoperable electricity market architectures in energy transition scenarios.…”
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Flow Control of Tractor Multi-Channel Hydraulic Tester Based on AMESim and PSO-Optimized Fuzzy-PID by Qinglun Li, Xuefeng Bai, Yang Lu, Xiaoting Deng, Zhixiong Lu

“…To improve the dynamic response, linearity, and control accuracy of the YYSCT-250-3 tractor multi-circuit hydraulic output power tester, this study develops a particle swarm optimization (PSO)-tuned fuzzy-proportional–integral–derivative (Fuzzy-PID) control strategy. …”
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A Penalty Approach for Solving Generalized Absolute Value Equations by Zahira Kebaili, Hassina Grar, Mohamed Achache

“…Under a mild assumption, we show that the solution of the considered sequence converges to that of GAVE if the penalty parameter tends to infinity. An algorithm is developed where its corresponding theoretical arguments are well established. …”
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Modeling and Control for an Aerial Work Quadrotor with a Robotic Arm by Wenwu Zhu, Fanzeng Wu, Haibo Du, Lei Li, Yao Zhang

“…By treating the quadrotor and robotic arm as a unified system, an integrated dynamic model is developed, which accurately captures the coupled dynamics between the aerial platform and the manipulator. …”
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Identification of key genes in periodontitis by Xianyang Cheng, Shan Shen

“…The findings not only offer valuable insights for developing early diagnostic strategies and therapeutic interventions but also provide a robust theoretical framework to guide future investigations into the molecular mechanisms underlying this complex disease.…”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Subsequently, a unified characterization method is developed to model the amplitude-frequency characteristics of flexibility resources, ensuring compatibility with pinch analysis requirements. …”
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Medical Center for Remote Monitoring of COVID-19 patients: organization experience and efficiency assessment by V. A. Boykov, S. A. Baranovskaya, I. A. Deev, E. V. Taranukha, I. P. Shibalkov, M. A. Babeshina

“…The project of the Medical Center for Remote Monitoring was developed on the basis of data from theoretical and empirical analyses of the current state of the healthcare system in the Tomsk region and the epidemiological situation with regard to COVID-19. …”
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Estimation of the Basic Reproductive Number and Mean Serial Interval of a Novel Pathogen in a Small, Well-Observed Discrete Population. by Kendra M Wu, Steven Riley

“…We then developed an inferential model for the likelihood of these case data as a function of R0 and Tg. …”
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Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program by Iraklis Varlamis

“…By engaging with real-world datasets, students develop resilience, adaptability, and problem-solving abilities, which are essential for navigating the complexities of data science in professional settings. …”
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State-Space Analysis and Complexity Assessment of Puzzle Games Using Colored Petri Nets by Ahmad Taghinezhad-Nia, Saeid Pashazadeh

“…By synthesizing model-checking techniques with ML-based algorithmic implementations, we develop an optimized search strategy for traversing the state space graph, enabling the derivation of quantitative complexity metrics. …”
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An Automatic Damage Detection Method Based on Adaptive Theory-Assisted Reinforcement Learning by Chengwen Zhang, Qing Chun, Yijie Lin

“…The aim of this paper is to construct a real-time automated damage detection method by developing a theory-assisted adaptive mutiagent twin delayed deep deterministic (TA2-MATD3) policy gradient algorithm. …”
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THE LATEST TOOLS FOR OPTIMIZING THE TAX REGULATION OF THE INSURANCE BUSINESS by Оксана Десятнюк, Ольга Кнейслер, Наталія Спасів, Ірина Гузела

“…The foundation of the developed scientific-methodological approach is the algorithm of actions for determining the actual deviation of the tax base from the calculated trend cycle. …”
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On the Design of Super Constellations by Thrassos K. Oikonomou, Dimitrios Tyrovolas, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Panagiotis Sarigiannidis, George K. Karagiannidis

“…By utilizing the decision regions formulated by GPD-D, a tight closed-form approximation for the symbol error probability (SEP) of SAPSK constellations is derived, while a detection algorithm with <inline-formula> <tex-math notation="LaTeX">$\mathcal {O}(1)$ </tex-math></inline-formula> time complexity is developed to ensure fast and efficient SAPSK symbol detection. …”
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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

“…The developed models showed an average absolute percentage error in the range of 5.9 – 8.9%. …”
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Establishment of prognostic risk model related to disulfidptosis and immune infiltration in hepatocellular carcinoma by Zhe Xu, Chong Pang, Xundi Xu

“…A prognostic model was developed combining clinicopathological factors with satisfactory predictive accuracy. …”
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The study on dynamic modeling and path planning of a manta ray-inspired underwater glider by Yi Zhang, Jianing Zhang, Zhiyang Guo, Lei Zhang, Yuchen Shang, Weimin Chen

“…A novel dynamic model for the gliding mode is developed, which takes the acceleration of a movable mass and the rate of change of a buoyancy control device as control inputs. …”
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