Mixed Thermal and Renewable Energy Generation Optimization in Non-Interconnected Regions via Boolean Mapping by Pavlos Nikolaidis

“…The results, considering a non-interconnected power system, show that the proposed model based on artificial intelligence presents advantageous performance in terms of generating cost and complexity. This is particularly important in isolated networks, where even a-not-so great deviation between production and consumption may reflect as a major disturbance in terms of frequency and voltage.…”
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The Wood Pellet Sector: Barriers to Growth and Opinions of Manufacturers in Poland by Anna Klepacka, Wojciech Florkowski

“…Wood pellet demand is stimulated by a complex interaction of market forces and policies including EU climate, energy, and environmental regulations, Poland’s program to improve air quality, and subsidies for the replacement of inefficient stoves used by households. …”
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Prediction of Enthalpy of Mixing of Binary Alloys Based on Machine Learning and CALPHAD Assessments by Shuangying Huang, Guangyu Wang, Zhanmin Cao

“…The enthalpy of mixing, a critical thermodynamic property in the liquid phase reflecting element interaction strength and pivotal for studying phase equilibria, can now be predicted efficiently using machine learning. …”
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Inter-municipal cooperation in Serbia: Opportunities and practical scope by Stančetić Veran

“…The legislator in Serbia has not yet anticipated this kind of complex or integrative inter-municipal cooperation. …”
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A Model Transformation Method Based on Simulink/Stateflow for Validation of UML Statechart Diagrams by Runfang Wu, Ye Du, Meihong Li

“…In the validation phase, the converted model is tested for robustness using the fault injection method, and boundary condition anomalies that are not explicitly stated in the requirement specification are successfully detected. The experimental results show that the validation model generated by this method has improved validation efficiency in the NuSMV tool, which is significantly better than the traditional conversion method.…”
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A Study on the Hydrodynamic Excitation Characteristics of Pump and Pipeline Systems Considering the Weakly Compressible Fluid During the Pump Start-Up Condition by Yonggang Lu, Mengjiao Min, Wei Song, Yun Zhao, Zhengwei Wang

“…With increasing global energy transition and environmental awareness, liquefied natural gas (LNG) is rapidly developing as an efficient and clean energy source. LNG pumps are widely used in industrial applications. …”
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Critical Review and Benchmark Proposal on FE Modeling for Patch Loading Resistance of Slender Steel Plate Girders in Launched Bridges by Marck Anthony Mora Quispe

“…Traditional design methods enhance patch loading resistance through various stiffening techniques, with contributions typically estimated via code expressions calibrated on experimental data that do not always reflect the complexities of full-scale bridge applications. …”
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Potential benefits and challenges of artificial intelligence in human resource management in public institutions by Kelvin M. Mwita, Felician Andrew Kitole

“…Additionally, results on risks of using AI on HRM indicate that high-risk components like Human Resource Information System (HRIS), Recruitment, Compensation, and Performance Management face serious concerns such as bias and implementation complexity. Moderate-risk areas like succession planning and compliance show manageable challenges, while low-risk components like health and safety and employee relations reflect minimal issues. …”
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EU water directives through a semiotic lens: framing quality, risk, and circularity by Cheryl Marie Cordeiro

“…Circularity is positioned mainly as an industrial-efficiency paradigm rather than an ecologically embedded process. …”
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Reorganization of the Siberian divisions of Printing House « Nauka » in the 1990s: experiments and problems of survival by S. N. Lyutov, A. M. Panchenko, O. N. Alshevskaya

“…References in the article reflect the original titles of documents available to authors. …”
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Design a new scheme for image security using a deep learning technique of hierarchical parameters by Khazaal Yasmine M., Falih Mohanaed Ajmi, Majeed Abbas Hamid

“…In order to encrypt the image, multi-layered hierarchical processes are used, and there are layers added during the work for complexity and to thwart attacks. Manipulating the layers of the neural network in a hierarchical manner to benefit from the outputs of the layers in feedback reflects the importance of the contributions here. …”
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Discrimination of the Skin Cells from Cellular-Resolution Optical Coherence Tomography by Deep Learning by Jui-Yun Yi, Sheng-Lung Huang, Shiun Li, Yu-You Yen, Chun-Yeh Chen

“…Deep learning algorithms (particularly convolutional neural networks, CNN) that extract features from images efficiently process the OCT’s complex images. We used four models to classify the images of five types of 2D-OCT skin cells. …”
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“Journeys of the mind” in the Russian Cultural Society of the 1760-s. Educational and Publishing activity of Kheraskov Literary Circle by Natalia D. Bludilina

“…Bogdanovich) that to a certain extent reflected complex processes of the development of spiritual culture in the eighteenth century Russia. …”
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Development of Cellulosic Paper-Based Test Strips for Mercury(II) Determination in Aqueous Solution by Shoujuan Wang, Zhen Xu, Yongyi Fang, Zhongming Liu, Xin Zhao, Guihua Yang, Fangong Kong

“…The detection range of the test trip for Hg2+ was obtained at 0.1 μg/mL to 30 μg/mL. …”
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Evaluating feature extraction in ovarian cancer cell line co-cultures using deep neural networks by Osheen Sharma, Greta Gudoityte, Rezan Minozada, Olli P. Kallioniemi, Riku Turkki, Lassi Paavolainen, Brinton Seashore-Ludlow

“…Most studies focus on single cell types, overlooking the complexity of cellular interactions. Here, we establish an analysis pipeline to extract phenotypic features of cancer cells cultured with fibroblasts. …”
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EWOD Sensor for Rapid Quantification of Marine Dispersants in Oil Spill Management by Oriol Caro-Pérez, María Blanca Roncero, Jasmina Casals-Terré

“…The device’s potential extends beyond marine dispersants to detecting various contaminants affecting surface tension. …”
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Agent-Based Evacuation Modeling: Enhancing Building Safety in Emergency Scenarios by Miguel Islas-Toski, Erik Cuevas, Marco Pérez-Cisneros, Héctor Escobar

“…By incorporating these behavioral conditions, the model more accurately reflects the real-life reactions of individuals during evacuation, leading to more realistic and applicable results. …”
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High-Sensitivity Electrical Admittance Sensor with Regression Analysis for Measuring Mixed Electrolyte Concentrations by Chun-Chi Chen, Chih-Hung Hung, Han-Xiang Zhu, Ji-Zun Chen

“…The sensor device requires no complex operational procedures and can quickly complete measurements, making it well-suited for point-of-care applications. …”
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A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

“…The proposed approach achieves high-quality and efficient target allocation, jamming mode selection, and power control. …”
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ADVANCED NEURAL NETWORKS AND DEEP LEARNING TECHNIQUES IN FINANCIAL MARKET PREDICTION by ENE CEZAR CATALIN

“…ANN and DL have significantly reshaped financial analysis due to their capacity to identify complex patterns and improve market predictions. Mimicking the computational structure of the human brain, ANN processes interconnected data points enabling efficient analysis and forecasting. …”
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