Tracking Secondary Raw Material Operational Framework—DataOps Case Study by Gabriel Pestana, Marisa Almeida, Nelson Martins

“…The ceramic and glass industries, integral to the EU Emissions Trading System (EU ETS), face significant challenges in achieving decarbonization despite advancements in energy efficiency. …”
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A comprehensive review of flood damage in mountainous regions: challenges, solutions, and advanced management technologies by Mohammad Roohi, Jila Dehghani, Maryam Irani, Paramiss Mina

“…Modern technologies, early warning systems, predictive models, and international collaboration are key to reducing flood losses and informing sustainable flood management.…”
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A model for making investment decisions contributing to the heating supply companies’ development, taking into account the restrictions arising in the applying tariffs conditions w... by T. B. Malkova, N. G. Verstina, M. V. Gamm

“…The simplex method is one of the methods for solving linear programming problems. An algorithm for optimizing the development function of the heating supply system by the simplex method and the index of the development of HSC in the conditions of applying tariffs using the “alternative boiler hous” method is proposed. …”
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DBN-BAAE: Enhanced Lightweight Anomaly Detection Mechanism with Boosting Adversarial Autoencoder by Yanru Chen, Bei Wu, Wang Zhong, Yanru Guo, Dizhi Wu, Yi Ren, Yuanyuan Zhang

“…The growing digitalization of Industrial Control Systems (ICSs) presents both significant benefits and security challenges, especially for small and medium-sized factories with limited resources. …”
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New <i>μ</i>-Synchronization Criteria for Nonlinear Drive–Response Complex Networks with Uncertain Inner Couplings and Variable Delays of Unknown Bounds by Anran Zhou, Chongming Yang, Chengbo Yi, Hongguang Fan

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A hybrid model for multimedia data compression using generative adversarial networks and chaotic encryption by P.T. Sivagurunathan, A. Sridevi

“…Compression performance of the proposed technique has been measured in terms of mean square error, peak signal to noise ratio, structural similarity index, compression ratio and space saving factors. The proposed system is also compared with existing techniques like Huffman encoding, JPEG, JPEG2000, run length encoding, discrete cosine transform etcetera and has been concluded that the proposed system performs in a better manner than the existing algorithms in terms of both encryption and compression.…”
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Power Harmonic Analysis via Neural Network and Quasi-synchronous Sampling Method by PENG Daming, XIAO Shenping, ZHOU Huanxi

“…Aiming at the accuracy of power system harmonic analysis with asynchronous sampling, a harmonic analysis algorithm based on quasi synchronous sampling algorithm and neural network is proposed in this paper. …”
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Minimizing Social and Economic Losses Due to Personnel Discharge in Conditions of Economic Crisis and Overcoming After-Effects of the New Corona-Virus Infection by L. V. Kartashova

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IMPROVING THE ACCURACY OF DETERMINING DEVIANT GROUPS IN THE SELECTION AND MONITORING OF THE CRITICAL INFORMATION INFRASTRUCTURE ENTERPRISES STAFF by Vladimir L. Evseev, Anton S. Burakov, Anatoly V. Marchenko

“…This method can be used in systems for monitoring and preventing staff deviant behavior in CII enterprises.…”
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Chaotic Mountain Gazelle Optimizer Improved by Multiple Oppositional-Based Learning Variants for Theoretical Thermal Design Optimization of Heat Exchangers Using Nanofluids by Oguz Emrah Turgut, Mustafa Asker, Hayrullah Bilgeran Yesiloz, Hadi Genceli, Mohammad AL-Rawi

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Integrating Metaheuristics and Machine Learning for Enhanced Vehicle Routing: A Comparative Study of Hyperheuristic and VAE-Based Approaches by Kassem Danach, Louai Saker, Hassan Harb

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Predicting the generalization of computer aided detection (CADe) models for colonoscopy by Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg

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FOPID-Controlled Self-Propelled Pipeline Inspection Robot for Internal Mapping of Small-Diameter Pipelines by Rizwan Aziz Mangi, Ghulam E. Mustafa Abro, Sufyan Ali Memon, Aneela Pathan, Khalil Muhammad Zuhaib, Maran Marimuthu

“…Conventional pipeline route mapping systems frequently depend on external sensing technology, like cameras and laser scanners. …”
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Use of machine learning to predict creativity among nurses: a multidisciplinary approach by Rola H. Mudallal, Majd T. Mrayyan, Mohammad Kharabsheh

“…This study was aimed to explore the factors influencing nurses’ creativity and to develop a decision support system using machine learning to predict creativity levels among nurses. …”
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Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism by Qiang Wang, Zhihang Yu, Shu Wang, Yunqiang Zhu, Xiaoliang Dai, Zhiqiang Zou, Weiming Huang, Christophe Claramunt

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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…The inherent complexity and inscrutability of vessel systems introduce obstacles in modeling and control. …”
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Machine Learning Advancements in Urban Traffic Simulation: A Comprehensive Survey by Harshit Maheshwari, Li Yang, Richard W. Pazzi

“…Another key contribution of this survey is a proof-of-concept case study, which utilizes a basic Reinforcement Learning algorithm to control traffic lights across multiple intersections. …”
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Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

“…Second, it additionally transforms vector values from the global coordinate to a reference coordinate when the target coordinate is different from the global coordinate by correcting yaw rotation to align with application-specific reference coordinate systems. We evaluated our algorithm on geomagnetic field-based indoor positioning and bidirectional step detection. …”
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Optimizing energy and load management in island microgrids for enhancing resilience against resource interruptions by Majid Hosseina, Mahmoud Samiei Moghaddam, Amir Hassannia

“…To effectively solve this high-dimensional, nonlinear problem, we employ the Multi-objective Moth Flame Algorithm (MOMFA), an enhanced metaheuristic evolutionary algorithm designed to handle complex trade-offs between cost, reliability, and resilience. …”
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HYBRID COMMUNICATION NETWORK OF MOBILE ROBOT AND QUAD-COPTER by Moustafa M. Kurdi

“…The function of QMRS consists of GPS used by Mobile Robot and image vision and image processing system from both robot and quad-copter and by using effective searching algorithm embedded inside the robot. …”
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