Machine-Learning-Driven Approaches for Assessment, Delegation, and Optimization of Multi-Floor Building by Abtin Baghdadi, Harald Kloft

“…Optimization is performed using Multi-Objective Particle Swarm Optimization (MOPSO), enabling efficient exploration of Pareto-optimal solutions that balance deformation and material usage. …”
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Analyzing and Predicting the Agronomic Effectiveness of Fertilizers Derived from Food Waste Using Data-Driven Models by Ksawery Kuligowski, Quoc Ba Tran, Chinh Chien Nguyen, Piotr Kaczyński, Izabela Konkol, Lesław Świerczek, Adam Cenian, Xuan Cuong Nguyen

“…This study evaluates and estimates the agronomic effectiveness of food waste-derived fertilizers by analyzing plant yield and the internal efficiency of nitrogen utilization (IENU) via statistical and machine learning models. …”
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BEHAVIOUR OF INDIVIDUAL CONSUMERS AS AN OBJECT MANAGEMENT INTERESTS by Yurii Y. Petrunia, Vira Y. Petrunia, Olexander I. Guba

“…By contrast, the health condition affects the level of “social happiness” (social welfare), efficiency and productivity of social work (ability to perform a certain amount of work and provide a certain level of intensity), the corresponding costs of the state and local budgets connected with the prevention and treatment of diseases, the use of various compensation payments related to the health problems. …”
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Unmanned aerial vehicle image detection of maize-YOLOv8n seedling leakage by Jiaxin Gao, Feng Tan, Jiapeng Cui, Zhaolong Hou

“…This study advances precision agriculture by enhancing the efficiency and accuracy of maize planting management.…”
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Surface hydrogen migration significantly promotes electroreduction of acetonitrile to ethylamine by Yulong Tang, Jiejie Li, Yichao Lin, Moxing Cheng, Shuibo Wang, Ziqi Tian, Junjie Zhou, Haolei Zhang, Yunan Wang, Liang Chen

“…The CuO@Cu catalyst exhibits nearly 100% Faradaic efficiency (FE) over the entire range of potentials tested from −0.1 to −0.4 V vs. …”
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MapCalib: Toward Large-Scale Automatic Calibration for Roadside LiDAR Using High-Definition Map by C. Duan, H. Bian, Y. Guo, B. Li, M. Yan, J. Zhou

“…Next, a Semantic Universal Spatial Context (SUSC) descriptor is proposed to efficiently localize the LiDAR sensor positions within the HD map. …”
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A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting by Iman Ahmadianfar, Aitazaz Ahsan Farooque, Mumtaz Ali, Mehdi Jamei, Mozhdeh Jamei, Zaher Mundher Yaseen

“…The results show that the L-SKRidge method has an acceptable ability to provide accurate water level predictions. …”
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Reviewing the Blockchain’s Framework and its Role in Sustainable Industries by N. Nasurudeen Ahamed, Tanweer Alam, Mohamed Benaida

“…Authorisation is a prerequisite for a framework, ensuring that only those with proper authorisation can join the organisation. The ability of the manager to impose limitations on user access to the blockchain enhances security measures. …”
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Enhancing Deep Learning Sustainability by Synchronized Multi Augmentation with Rotations and Multi-Backbone Architectures by Nikita Gordienko, Yuri Gordienko, Sergii Stirenko

“…Deep learning applications for Edge Intelligence (EI) face challenges in achieving high model performance while maintaining computational efficiency, particularly under varying image orientations and perspectives. …”
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Penaeus vannamei aquaculture water quality prediction based on the improved back propagation neural network by DING Jinting, ZANG Zelin, HUANG Min

“…In order to overcome the disadvantages of traditional back propagation (BP) neural network including slow convergence speed, easy to fall into the shock, poor generalization ability and so on, the adaptive variable step size BP-neural network learning algorithm based on the fuzzy method had been developed, which can reduce the learning time of BP-neural network, improve the convergence efficiency and network stability.The computed results for water quality showed good agreement with the measured values. …”
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Optimizing gas well deliquification: Experimental analysis of surfactant-based strategies for liquid unloading in gas wells for enhanced recovery by Najeeb Anjum Soomro, Ubedullah Ansari, Bilal Shams, Muhammad Khan Memon, Darya Khan Bhutto, Zhang Rui, Yi Pan

“…The findings also contribute to enhanced oil and gas recovery by prolonging well lifespan, reducing operational costs, and improving production efficiency. This work serves as a foundation for future studies in surfactant-based well unloading strategies, paving the way for improved reservoir management and sustained hydrocarbon production.…”
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Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi‐kernel genomic prediction models integrating secondary traits and environmental covariates by Sudip Kunwar, Md Ali Babar, Diego Jarquin, Yiannis Ampatzidis, Naeem Khan, Janam Prabhat Acharya, Jordan McBreen, Samuel Adewale, Gina Brown‐Guedira

“…This study developed genomic prediction models to estimate these traits using diverse statistical methods while enhancing predictive ability (PA) by integrating environmental covariates (ECs) and secondary traits. …”
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Towards precision diagnosis: a novel hybrid DC-CAD model for lung disease detection leveraging multi-scale capsule networks and temporal dynamics by Esther Stacy E. B. Aggrey, Qin Zhen, Seth Larweh Kodjiku, Linda Delali Fiasam, Collins Sey, Chiagoziem C. Ukwuoma, Evans Aidoo, Emmanuel Osei-Mensah

“…DC-CAD is innovative in its ability to combine multi-scale feature extraction and temporal dynamic analysis, enabling the model to capture intricate spatial relationships and sequential changes in lung tissue. …”
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Hybrid Deep Learning for Human Fall Detection: A Synergistic Approach Using YOLOv8 and Time-Space Transformers by Yousef Sanjalawe, Salam Fraihat, Mosleh Abualhaj, Salam R. Al-E'Mari, Emran Alzubi

“…These results confirm the model’s ability to distinguish fall events from normal activities accurately. …”
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U-Shaped Dual Attention Vision Mamba Network for Satellite Remote Sensing Single-Image Dehazing by Tangyu Sui, Guangfeng Xiang, Feinan Chen, Yang Li, Xiayu Tao, Jiazu Zhou, Jin Hong, Zhenwei Qiu

“…In remote sensing single-image dehazing (RSSID), adjacency effects and the multi-scale characteristics of the land surface–atmosphere system highlight the importance of a network’s effective receptive field (ERF) and its ability to capture multi-scale features. Although multi-scale hybrid models combining convolutional neural networks and Transformers show promise, the quadratic complexity of Transformer complicates the balance between ERF and efficiency. …”
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Development and laboratory validation of an LVDC back-to-back system with residential inverter, PV, and battery-based power generation by Zaid Ali, David Raisz

“…Thorough simulations in Simulink and laboratory validations through a rapid prototyping platform, demonstrate the system’s ability to deliver stable and efficient power in both operational modes. …”
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Reduced‐Order Probabilistic Emulation of Physics‐Based Ring Current Models: Application to RAM‐SCB Particle Flux by Alfredo A. Cruz, Rashmi Siddalingappa, Piyush M. Mehta, Steven K. Morley, Humberto C. Godinez, Vania K. Jordanova

“…Reduced computational cost allows for significantly faster than real‐time forecasting, enhancing our ability to predict and respond to dynamic changes in the ring current, valuable for space weather monitoring and mitigation efforts. …”
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MANAGEMENT AND LEGAL ASPECTS OF ECONOMIC SECURITY OF ENTERPRISES IN THE PROCESS OF INNOVATION by V. Blikhar, М. Kopytko, O. Patsula, V. Synenkyi, V. Bulachek

“…It has been established that the efficiency of the financial and economic activity of an innovatively active enterprise depends, first of all, on a certain set of resources at the disposal of the given enterprise. …”
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AI-Driven Advancements in Orthodontics for Precision and Patient Outcomes by David B. Olawade, Navami Leena, Eghosasere Egbon, Jeniya Rai, Aysha P. E. K. Mohammed, Bankole I. Oladapo, Stergios Boussios

“…AI’s ability to analyze large datasets of dental records, X-rays, and 3D scans allows for highly individualized treatment plans, improving both clinical outcomes and patient satisfaction. …”
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Automated Parcel Locker Configuration Using Discrete Event Simulation by Eugen Rosca, Floriana Cristina Oprea, Anamaria Ilie, Stefan Burciu, Florin Rusca

“…The results show that the configuration of locker types significantly influences the system’s ability to maintain high customers service levels. …”
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