Optimization of PID Controllers Using Groupers and Moray Eels Optimization with Dual-Stream Multi-Dependency Graph Neural Networks for Enhanced Dynamic Performance by Vaishali H. Kamble, Manisha Dale, R. B. Dhumale, Aziz Nanthaamornphong

“…This study presents a novel control strategy that integrates the Groupers and Moray Eels Optimization (GMEO) algorithm with a Dual-Stream Multi-Dependency Graph Neural Network (DMGNN) to optimize PID controller parameters. …”
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Optimization and comparative analysis of hybrid renewable energy systems for sustainable and clean energy production in rural Cameroon considering the loss of power supply probabil... by Yemeli Wenceslas Koholé, Clint Ameri Wankouo Ngouleu, Fodoup Cyrille Vincelas Fohagui, Ghislain Tchuen

“…System reliability is assessed using the maximum allowable loss of power supply probability, with values set at 0%, 2%, 5%, and 10%. The results indicate that the CSA algorithm outperforms the others, with the PV/Wind/TES configuration being the most cost-effective, followed by PV/TES, Wind/TES, PV/Wind/PHES, PV/PHES, and Wind/PHES systems. …”
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AI IS LEARNING HOW TO WRITE. ETHICAL PROBLEMS FOR JOURNALISM by Dan Valeriu VOINEA

“…The paper concludes that conscientious, ethical integration is crucial for harnessing AI's benefits while safeguarding journalistic integrity.…”
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Waste heat harness in a thermal energy system using TEGs, and SCO2 brayton cycle driven by renewable sources for electricity and liquid hydrogen Production: Thermo-Economic optimiz... by Amr S. Abouzied, Sarminah Samad, Pradeep Kumar Singh, Ahmed H. Janabi, Mohamed Shaban, Asma Ahmed A. Mohammed, Shoira Formanova, H. Elhosiny Ali, Samah G. Babiker, Abdulrahman M. Alansari

“…Furthermore, thermoelectric generators (TEG) are integrated to capture energy from waste heat sources. …”
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Higher performance enhancement of direct torque control by using Space Vector Modulation for doubly fed induction machine by Gouaamar Radouan, El Fadl Adiba, Bri Seddik, Mekrini Zineb

“…For highly perturbed systems, traditional Proportional-Integral (PI) speed controllers fail as their gain values are a function of system parameters that inherently change such as engine properties. …”
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River Radii: A Comparative National Framework for Remote Monitoring of Environmental Change at River Mouths by Shane Orchard, Francois Thoral, Matt Pinkerton, Christopher N. Battershill, Rahera Ohia, David R. Schiel

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Sustainable Innovation: Harnessing AI and Living Intelligence to Transform Higher Education by Hesham Mohamed Allam, Benjamin Gyamfi, Ban AlOmar

“…However, while AI has the potential to improve education significantly, it also introduces challenges, such as ethical concerns, data privacy risks, and algorithmic bias. The real challenge is not just about embracing AI’s benefits but ensuring it is used responsibly, fairly, and in a way that aligns with educational values. …”
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Genetic Subtype‐Based International Prognostic Index Prognostic Model in Diffuse Large B‐Cell Lymphoma by Lan Mi, Jili Deng, Jiayue Qin, Chen Zhang, Lixia Liu, Shunli Yang, Libin Chen, Hua‐Jun Wu, Haojie Wang, Jun Zhu, Hong Chen, Feng Lou, Shanbo Cao, Yuqin Song, Weiping Liu

“…Compared with IPI scoring system and classification algorithm model alone, the discrimination ability of prognostic model based on the new integrated model showed best discrimination of overall survival with concordance index value (0.773 vs. 0.724 vs. 0.648). …”
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HIV‐1 testing in the context of expanding PrEP modalities by Urvi M. Parikh, Jana L. Jacobs, Njambi Njuguna, Kristine Torjesen, John W. Mellors

“…The data from PrEP studies and scale‐up will help us assess the value of different tests and testing approaches for their inclusion in HIV detection algorithms across PrEP modalities.…”
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A feature extraction method based on improved resonance sparse decomposition for early faults in rolling bearings by SUN Meng, GAO Bingpeng, CHENG Jing

“…To overcome the difficulty in early fault diagnosis with weak fault characteristics of rolling bearings that are easily drowned out by noise in the complex operation environment, an early fault diagnosis method was proposed by integrating the improved artificial gorilla troops optimizer (IGTO) algorithm, the optimized resonance-based sparse signal decomposition (RSSD), multi-parameter and sparse maximum harmonics-to-noise-ratio deconvolution (SMHD) method. …”
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Indirect Measurement of Tensile Strength of Materials by Grey Prediction Models GMC(1,n) and GM(1,n) by Tzu-Li Tien

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Analysis of Parameterized Quantum Circuits: On the Connection Between Expressibility and Types of Quantum Gates by Yu Liu, Kazuya Kaneko, Kentaro Baba, Jumpei Koyama, Koichi Kimura, Naoyuki Takeda

“…In the context of variational-quantum-algorithm-based quantum machine learning (QML), a QML model composed of a highly expressible PQC and a sufficient number of qubits is theoretically capable of approximating any arbitrary continuous function. …”
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Identifying boundary conditions of an oil reservoir flow model from well pressure measurements. Part 1: Homogeneous reservoir by D. I. Usmanov, K. A. Potashev, D. R. Salimyanova

“…The stability of the algorithm for solving the inverse problem was analyzed against pressure measurement errors. …”
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A Security Posture Assessment of Industrial Control Systems Based on Evidential Reasoning and Belief Rule Base by Huishan Song, Yanbin Yuan, Yuhe Wang, Jianbai Yang, Hang Luo, Shiming Li

“…However, this integration also introduces challenges to the continuous operation of industrial processes. …”
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Efficient Frequency Management for Hybrid AC/DC Power Systems Based on an Optimized Fuzzy Cascaded PI−PD Controller by Awadh Ba Wazir, Sultan Alghamdi, Abdulraheem Alobaidi, Abdullah Ali Alhussainy, Ahmad H. Milyani

“…For instance, in the case of variable load change and variable RESs profile, the SBOA-FCPIPD controller has the best integral time absolute error (ITAE) value. The SBOA-FCPIPD controller’s ITAE value is 0.5101, while sine cosine adopted an improved equilibrium optimization algorithm-based adaptive type 2 fuzzy PID controller and obtained 4.3142. …”
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Advanced Machine Learning Methodology for Earthquake Magnitude Forecasting Using Comprehensive Seismic Data by Subhieh El-Salhi, Bashar Igried, Sari Awwad

“…A hybrid methodology was developed that integrates machine learning models with metaheuristic feature selection methods to enhance accuracy and robustness. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…This study proposes a hybrid model for clean coal ash content in dense medium separation by integrating empirical mode decomposition, long short-term memory networks, and sparrow search algorithm optimization. …”
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Generative AI as a tourism actor: Reconceptualising experience co-creation, destination governance and responsible innovation in the synthetic experience economy by Evangelos Christou, Anestis Fotiadis, Antonios Giannopoulos

“…Purpose: This conceptual study examines how Generative Artificial Intelligence (GenAI) reshapes value co creation, destination governance, and responsible innovation in tourism. …”
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Harnessing the sun: Framework for development and performance evaluation of AI-driven solar tracker for optimal energy harvesting by A M Almas Shahriyar Azad, Khaled Mohammad Shifullah Bhuiya, Sumaiya Rashid Shoshi, Jubayer Rahman Jamal, Sabbir Ahmed Udoy, Sadman Zilani, Abdullah Hawlather, Mehedi Hasan, Tabassum Roaidah Azad

“…These insights are integrated into a Multi-Objective Genetic Algorithm Adaptive Neuro-fuzzy Inference System (MOGA ANFIS), optimizing the solar tracking process using diverse solar tracking and environmental variables. …”
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MANAGING THE DEVELOPMENT OF AGRO-INDUSTRIAL CLUSTERS by D. V. Zavyalov, O. V. Saginova, N. B. Zavyalova

“…The article presents the concept of managing the development of agro-industrial clusters as self-organizing systems capable of integrating the activities of small and medium-sized businesses into the value-added chain based on modern information technologies. …”
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