Turbofan engine health status prediction with artificial neural network by Slawomir Szrama, Tomasz Lodygowski

“…The calculated parameter is then used as a response parameter for the machine learning algorithm. The case study is based on the artificial neural network which was two-layer feedforward network with sigmoid hidden neurons and linear output neurons. …”
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Theoretical analysis of power control and energy efficiency in full-duplex massive MIMO systems by Kwame Salum Ibwe, Libe Valentine Massawe

“…Unlike prior analyses that focus primarily on spectral efficiency, this study centers on energy-efficient operation, incorporating asymmetric traffic conditions and practical power constraints. An adaptive algorithm is also proposed to dynamically adjust SI cancellation for optimal EE–SE trade-off. …”
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METHODOLOGY TO IMPROVE THE ACCURACY OF DETERMINING THE POSITION OF UAVS EQUIPPED WITH SINGLE-FREQUENCY RECEIVERS FOR THE PURPOSES OF GATHERING DATA ON AVIATION OBSTACLES by Marta LALAK, Kamil KRASUSKI, Damian WIERZBICKI

“…The algorithm of the SPP method was improved with the use of IGS products.…”
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Multi-verse Optimization-based MPPT Design for PV-TEG System by Dahu LI, Hongyu ZHOU, Yue ZHOU, Yuze RAO, Wei YAO

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Disturbance Rejection and Uncertainty Analysis in Wind Turbines Using Model Predictive Control by Alok Kumar, Atul Kelkar

“…We have tailored the algorithm to the practical parameters of the National Renewable Energy Laboratory’s (NREL) Controls Advanced Research Turbine (CART) model. …”
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Vehicle routing problem in waste collection: a case study in Son Tra, Da Nang by Le Hoang Son, Truong Nguyen Song Ha, Nguyen Ngoc Phuong, Phan Bao An

“…By employing the Dijkstra algorithm, route optimization resulted in a significant reduction in average route length, from 12.94 ± 3.5 km to 9.42 ± 2.67 km, representing a 9-42% improvement. …”
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Multi-Platform Detection of Melon Leaf Abnormalities Using AVGHEQ and YOLOv7 by Sahrial Ihsani Ishak, Karlisa Priandana, Sri Wahjuni

“…This research develops a multiplatform system for detecting abnormalities in melon leaves, integrating an Internet of Things (IoT) approach using Jetson Nano, a Streamlit-based website, and a mobile application for real-time monitoring. …”
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Artificial intelligence: basic terms and concepts, the application in healthcare and clinical medicine by A. I. Lamotkin, D. I. Korabelnikov, I. A. Lamotkin

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Optimizing makespan and resource utilization in cloud computing environment via evolutionary scheduling approach. by Faten K Karim, Sara Ghorashi, Salem Alkhalaf, Saadia H A Hamza, Anis Ben Ishak, S Abdel-Khalek

“…Resource scheduling (RS) is the most significant nondeterministic polynomial time (NP) hard problem in the cloud, owing to its crucial impact on cloud performance. Previous research found that metaheuristics can dramatically increase CC performance if deployed as scheduling algorithms. …”
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Crowd-based collaboration caching mechanism in smart identifier network by Haifeng LI, Wei QUAN, Nan CHENG, Hongke ZHANG, Xuemin SHEN

“…Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.…”
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Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction by W. G. Jency, J. E. Judith

“…Swift development in wind power and extension of wind generation necessitates significant research in numerous fields. Due to this, wind power is weather dependent; it is fluctuating and is sporadic over numerous time periods. …”
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Content Creator Strategy as Tourism Journalism for Post-Covid-19 Pandemic Recovery by Wiki Angga Wiksana, Firmansyah, Dian Widya Putri, Doddy Iskandar Cakranegara

“…The collaboration business strategy carried out by PRMN with the google algorithm supports the creation of positive tourism content in marketing tourist destinations according to tourist targets.…”
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A case report of cannabis-induced bipolar-type schizoaffective disorder with persistent grandiose delusions by Mauricio Cantú-Pérez-Maldonado, Francisco Rodríguez-Lara, Martha Cavazos-Cantú, Manuel Gardea-Reséndez

“…Research on cannabis use and psychotic disorder association primarily focuses on schizophrenia to the detriment of other psychotic disorders, such as schizoaffective disorder (SAD). …”
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Effectiveness of the Spatial Domain Techniques in Digital Image Steganography by Rosshini Selvamani, Yusliza Yusoff

“…The purpose of this research is to determine the best and most effective algorithm among the three competitive spatial domain algorithms, which are Least Significant Bit (LSB), Optimum Pixel Adjustment Procedure (OPAP), and Pixel Value Differencing (PVD) which in regard demonstrated the efficacy of spatial domain algorithms. …”
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A Novel Strategy for Enhancing Performance of Rectangular Pulse Generators: Simulation and Optimization of Blumlein Pulse Forming Networks by Chuanwei Wang, Hongtao Li, Jinshui Xiao

“…Subsequently, an optimization design algorithm is utilized to derive the optimal device parameters. …”
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A DECISION SUPPORT TOOL FOR A WALKABLE INTEGRATED NEIGHBOURHOOD DESIGN USING A MULTICRITERIA DECISIONMAKING METHOD by Ali KEYVANFAR, Arezou SHAFAGHAT, Hasanuddin LAMIT

“…The WIND tool captures and forecasts pedestrians’ mind mapping, as well as sequential decision-making during walking, and then analyses the path walkability through a decision-tree- making (DTM) algorithm on both the segment scale and the neighbourhood scale. …”
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Post-Quantum Homomorphic Encryption: A Case for Code-Based Alternatives by Siddhartha Siddhiprada Bhoi, Arathi Arakala, Amy Beth Corman, Asha Rao

“…Homomorphic Encryption (HE) allows secure and privacy-protected computation on encrypted data without the need to decrypt it. Since Shor’s algorithm rendered prime factorisation and discrete logarithm-based ciphers insecure with quantum computations, researchers have been working on building post-quantum homomorphic encryption (PQHE) algorithms. …”
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Land-cover classification with remote sensing images based on low-rank fusion of multimodal features by LIU Wenjie, WU Xiaoning, DONG Fuan, ZHANG Jinwen, LI Yiyang, CHEN Yong

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Intelligent CO2 Monitoring for Diagnosis of Sleep Apnea Using Neural Cryptography Techniques by Manar Ahmed Hamza, Maha M. Althobaiti, Ola Abdelgney Omer Ali, Souad Larabi-Marie-Sainte, Majdy M. Eltahir, Anwer Mustafa Hilal, Mesfer Al Duhayyim, Ishfaq Yaseen

“…The accuracy of the GEP-KNN algorithm with different K values produced the highest accuracy at K=9 and k=10 of 95.12% and 95.67%; the lowest accuracy is K=1 of 65.34%.…”
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Adaptive switching and routing protocol design and optimization in internet of things based on probabilistic models by Yi Yang

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