Optimal Locating and Sizing of Unified Power Quality Conditioner for Multi-Objective Congestion Management by Hybrid Fuzzy- Harmony Search Algorithm by Alireza Moradi, Seyed Mohammad Reza Hashemi, Seyed Masoud Mirrezaei

“…The results indicate that using the proposed method, congestion management is done optimally, which not only does not reduce system security, but also increases its security margin.…”
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Micro-classification of orchards and agricultural croplands by applying object based image analysis and fuzzy algorithms for estimating the area under cultivation by Bakhtiar Feizizadeh, Ali KHedmat Zadeh, Mohammad Reza Nikjoo

“…We also applied textures, geometric, NDVI, GLCM, brightness algorithms based on fuzzy operators and assign class algorithm. …”
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Expediency Analysis of Clustering Algorithms for Electric Two-Wheeler Driving Cycle Development Under Indian Smart City Driving Conditions by Azhaganathan Gurusamy, Akshat Bokdia, Harsh Kumar, A. Radhika, Bragadeshwaran Ashok, Chellamuthu Gunavathi

“…Then, the Calinski Harabasz index (CHI), Davies-Bouldin index (DBI), and silhouette score are used to assess the homogeneity and completeness of selected clustering algorithms in the data cluster. Overall, the E2WUDC is developed using X-means which is selected as a suitable clustering algorithm based on the performance indices. …”
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Unveiling smart contract vulnerabilities: Toward profiling smart contract vulnerabilities using enhanced genetic algorithm and generating benchmark dataset by Sepideh HajiHosseinKhani, Arash Habibi Lashkari, Ali Mizani Oskui

“…Many of them, such as rule-based methods, machine learning techniques, and neural networks, also struggle to detect complex vulnerabilities due to limited data availability. …”
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Restrictive intraoperative fluid optimisation algorithm improves outcomes in patients undergoing pancreaticoduodenectomy: A prospective multicentre randomized controlled trial. by Laurence Weinberg, Damian Ianno, Leonid Churilov, Ian Chao, Nick Scurrah, Clive Rachbuch, Jonathan Banting, Vijaragavan Muralidharan, David Story, Rinaldo Bellomo, Chris Christophi, Mehrdad Nikfarjam

“…We aimed to evaluate perioperative outcomes in patients undergoing pancreaticoduodenectomy with or without a cardiac output goal directed therapy (GDT) algorithm. We conducted a multicentre randomised controlled trial in four high volume hepatobiliary-pancreatic surgery centres. …”
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Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

“…This algorithm aims to create a prediction map of habitats dominated by Quercus cerris, which is also known as the relevancy map.Through the utilisation of the Natural Numerical Network, a training accuracy of 95.24% was achieved. …”
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Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses by Pengfei Jin, Linghui Zhang, Hong Yang, Tingting Jiang, Chenyang Xu, Jiehui Huang, Zhongyu Zhang, Lei Shi, Xu Wang

“…Conclusion The modified CT algorithms not only enhanced inter-reader consistency but also improved the diagnostic capability for ccRCC in small renal masses.…”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S. Jatti, Nitin K. Khedkar, Rahul B. Dhabale, Ashwini V. Jatti

“…This type of neural network receives input from an image and extracts features from the image while also providing learnable parameters to effectively do the classification, detection, and many other tasks. …”
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Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti

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A Digital Ground Distance Relaying Algorithm to Reduce the Effect of Fault Resistance during Single Phase to Ground and Simultaneous Faults by Mohammad Razaz, Seyyed Ghodratollah Seifossadat, Morteza Razaz, Mahmood Joorabian

“…This paper intends to provide an algorithm of fault resistance compensation for digital ground distance relay considering the voltage and current transformer effects. …”
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System Evaluation and Management of College Students’ Physical Exercise Behavior Stages Integrating Bayesian Association Rules Data Mining Algorithm by Juan Shi

“…The experimental results show that after using MapReduce parallelization, the improved algorithm can not only process larger-scale data sets, but also save a lot of running time. …”
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Harnessing Data-mining Algorithms to Model and Evaluate Factors Influencing Distortion Product Otoacoustic Emission Variations in a Mining Industry by Sajad Zare, Reza Esmaeili, Mojtaba Nakhaei pour

“…Conversely, age had the slightest effect on OAEs (weighing between 6% and 11%). The results also showed that the DL algorithm had higher accuracy compared to the SVM algorithm. …”
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Optimizing Trajectories for Rechargeable Agricultural Robots in Greenhouse Climatic Sensing Using Deep Reinforcement Learning with Proximal Policy Optimization Algorithm by Ashraf Sharifi, Sara Migliorini, Davide Quaglia

“…While agricultural robots are inherently useful for automating various farming tasks, their presence can also be leveraged to collect measurements along their paths. …”
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Toward a learnable Artificial Intelligence Model for Aerosol Chemistry and Interactions (AIMACI) based on the Multi-Head Self-Attention algorithm by Z. Xia, C. Zhao, C. Zhao, C. Zhao, Z. Yang, Q. Du, J. Feng, C. Jin, J. Shi, H. An, H. An

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Intelligent Operation Dynamic Characteristics of Heat Pump System in Integrated Electric-thermal Cooperative Grid Based on Game Optimization Algorithm by Liang Anqi, Zeng Shuang, Ren Jiahang, Zhang Xinyue, Cao Feng, Yu Xiaoling, Song Yulong, Xing Qijing, Yang Xu, Ma Lin

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Modeling and Solving the Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times by Firefly Algorithm (Case Study: Automotive Industry) by Mustafa Mohammadi, Seyed Ahmad Shayannia, Mohamadreza Lotfi, Javad Rezaeian Zaidi

“…According to the ARE result, the difference in the results between the two algorithms is negligible. Then, the sequence results are determined according to the desired algorithm for 5 tasks considered for automobile parts. …”
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Simulation of Two Stands Cold Rolling Mill Process Using Neural Networks and Genetic Algorithms in Combination to Avoid the Chatter Phenomenon by Behzad Bahraminejad, Mehrdad Dehghani, Sayed Ali Mousavi

“…To simulate the experiment, a neural network is trained and weights and bias values of the neural network with genetic optimization algorithm were used to get an optimal neural network which reduces bugs on the test data. …”
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RARE: right algorithm for the right errand; a multi-model machine learning-based approach for tourism routes and spots recommendation by Ling Luo

“…However, traditional static route-based algorithms struggle to adapt to the rapid expansion of the tourism industry, necessitating the development of dynamic, machine-learning-driven solutions. …”
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Exploring the Potential of Blockchain Data as Pseudorandom Numbers for Microtonal Algorithmic Composition. A Case Study on Blockchain Music 2.5 by Krzysztof Kicior

“…Through a comprehensive case study of a self-written, self-generating piece (Blockchain Music 2.5, 2023), we demonstrate the practical implementation of blockchain-generated numbers, showcasing their potential in exploring new post-tonal dimensions and producing unique sonic textures based on the predetermined set of rules. We also discuss the implications, challenges, and potential future directions of incorporating blockchain-generated numbers in algorithmic music composition. …”
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A Study on the Design of a New Three-Dimensional Seismic Isolation Bearing Based on an Improved Genetic Algorithm for Bridge Engineering by Ying Sheng, Zhenchao Yang, Yu Meng, Bin Jia

“…However, passive seismic isolation devices, due to their non-adjustable performance parameters, struggle to achieve effective seismic isolation across a wide frequency range of 0 Hz to 20 Hz in response to random and varying seismic loads. (2) Methods: The sensitivity of the design parameters of the seismic isolation bearing was analyzed using the optimization center gradient method, and an improved genetic algorithm was employed to quickly optimize and obtain the optimal design parameters. (3) Results: The effectiveness of the three-dimensional seismic isolation bearing was validated through experiments. (4) Conclusions: The multi-factor sensitivity analysis approach used in this study for designing novel isolation bearings is applicable not only to seismic design in bridges but also serves as a reference for parameter design in isolation bearings requiring medium to high precision in seismic performance.…”
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