Multi-Criteria Optimization of a Standalone Photovoltaic System in Cyprus (Techno-Economic Analysis) by Athina Vogiatzoglou, Konstantinos Alexakis, Dimitris Askounis

“…This study proposes a two-stage optimization approach for standalone photovoltaic systems, employing three distinct optimization algorithms—NSGA-II, DEMO, and Particle Swarm Optimization—to minimize both the Loss of Load Probability (LLP) and the life cycle cost (LCC). …”
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Low-Carbon Slag Concrete Design Optimization Method Considering the Coupled Effects of Formwork Stripping, Strength Progress, and Carbonation Durability by Li-Na Zhang, Seung-Jun Kwon, Xiao-Yong Wang

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Uncertainty assessment for the Bayesian updating process of concrete strength properties by Matthias Haslbeck, Robert Kroyer, Andreas Taras, Thomas Braml

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Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

“…Abstract The most dangerous form of cancer is breast cancer. This disease is life-threatening because of its aggressive nature and high death rates. …”
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The relationship between activities of daily living and speech impediments based on evidence from statistical and machine learning analyses by Liu Jun, Hongguo Li, Yu Mao, Lan Hu, Dan Wu

“…The Barthel Index (BI) was used to assess ADL, and the correlation between ADL and SI was examined through statistical analyses. Machine learning algorithms (Support Vector Machine, Decision Tree, and Logistic Regression) were employed to validate the findings and elucidate the underlying relationship between ADL and SI.BackgroundSI poses significant challenges to the health and quality of life of middle-aged and older adults, increasing the demands on community-based and home care services. …”
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Benchmarking validity indices for evolutionary K-means clustering performance by Abiodun M. Ikotun, Faustin Habyarimana, Absalom E. Ezugwu

“…Abstract K-Means is a well-established clustering algorithm widely used in data analysis and various real-world applications. …”
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Optimized deep learning approach for lung cancer detection using flying fox optimization and bidirectional generative adversarial networks by Manal Abdullah Alohali, Hamed Alqahtani, Shouki A. Ebad, Faiz Abdullah Alotaibi, Venkatachalam K., Jaehyuk Cho

“…Lung cancer remains one of the most prevalent and life-threatening diseases, often diagnosed at an advanced stage due to the challenges in early detection. …”
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A Review of Advanced Deep Learning Methods of Multi-Target Segmentation for Breast Cancer WSIs by Qiaoyi Xu, Afzan Adam, Azizi Abdullah, Nurkhairul Bariyah

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Harmonized Integration of GWO and J-SLnO for Optimized Asset Management and Predictive Maintenance in Industry 4.0 by A. N. Arularasan, P. Ganeshkumar, Mohammad Alkhatib, Tahani Albalawi

“…The study encompasses the application of two different advanced optimization algorithms on asset management and predictive maintenance in Industry 4.0—Grey Wolf Optimization and Jaya-based Sea Lion Optimization (J-SLnO). …”
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Digital Technologies and Labour Relations: Legal Regulation in Russia and China by E. Ofman, M. Sagandykov

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Optimization of off-grid hybrid renewable energy systems for cost-effective and reliable power supply in Gaita Selassie Ethiopia by Elsabet Ferede Agajie, Takele Ferede Agajie, Isaac Amoussou, Armand Fopah-Lele, Wirnkar Basil Nsanyuy, Baseem Khan, Mohit Bajaj, Ievgen Zaitsev, Emmanuel Tanyi

“…To achieve the results, meta-heuristics such as the Multiobjective Gray wolf optimization algorithm (MOGWO) and Multiobjective Grasshopper optimization algorithm (MOGOA) were applied using MATLAB software. …”
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Detection of Obstacles in Tunnel Based on Vehicle-borne LiDAR by ZENG Xiang, JIANG Guotao, BAO Jiyu, LIU Bangfan, XIAO Zhihong

“…Finally, the obstacles tracking is achieved by means of the global nearest neighbor algorithm with improved distance metric and the Kalman filter, and the track of all obstacles is updated by a customized life state transition strategy. …”
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Energy consumption reduction for an ultra-low-cost artificial pancreas using an event-trigger MPC strategy by Jhon E. Goez-Mora, Pablo S. Rivadeneira

“…This work aims to evaluate the performance of an impulsive Model Predictive Control (MPC) strategy with an event-triggered (ET) approach implemented in an artificial pancreas (AP) system to determine if insulin injection is necessary, avoiding the execution of the control algorithm and the use of hardware associated to that in each sampling period. …”
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Coaching as a Tool for the Development Team by M. V. Savelyeva

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Optimizing Wireless Sensor Network longevity with hierarchical chain-based routing and vertical network partitioning techniques by V. Rama Krishna, Vuppala Sukanya, Mohd Abdul Hameed

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A supply chain analytics approach for optimizing milk collection routing in multi-depot networks by Mattia Neroni, Marta Rinaldi

“…We introduce a new formulation and propose six heuristic algorithms to minimize the distance covered in milk collection in the dairy sector. …”
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MODELING OF PROBLEMATIC SITUATIONS IN INTERSUBJECTIVE CONTROL THEORY by T. V. Moiseeva, N. Yu. Polyaeva

“…By developing a theory of joint search for solutions to problem situations in which social actors find themselves, it is proposed to supplement traditional management techniques with an intersubjective social management approach aimed at improving the quality of life of people. The aim of the research is the further development of intersubjective management theory and its supplementation by formalised means for practical application.Methods. …”
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Operational control of city engineering networks based on artificial intelligence systems by О. Стенін, В. Пасько, М. Солдатова, І. Дроздович

“… The functioning of a modern city is based on a complex of various means of ensuring the life of citizens and the work of organizations, including city engineering networks (CEN), which ensure the centralized supply of electricity, heat, gas, water, etc. …”
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Experimental study and techno-economic evaluation of an active fault detection kit in the prospect of future zero energy building installations by Christos Pechlivanis, Nick Rigogiannis, Andreas Tichalas, Faidra Kotarela, Nick Papanikolaou

“…Finally, a sustainability assessment study is performed, using the Life Cycle Cost Analysis tool.…”
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AUTOMATION OF THE PROCESS OF ENSURING THE CONFORMITY OF THE OBJECT TO THE “GREEN” CONSTRUCTION STANDARDS by R. A. Zherugov, M. H. Kangezova, A. A. Lapidus

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