Cooperative Mechanism for Energy Transportation and Storage in Internet of Energy by Weigang Hou, Guoda Tian, Lei Guo, Xiaojie Wang, Xu Zhang, Zhaolong Ning

“…To improve the energy conversion ability and well utilize renewable resources, J. Rifkin first put forward the concept of “Internet of energy IoE)”. …”
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Segmentation of Stone Slab Cracks Based on an Improved YOLOv8 Algorithm by Qitao Tian, Runshu Peng, Fuzeng Wang

“…Overall, YOLOv8-Seg greatly improves segmentation accuracy and robustness in industrial crack detection on natural stone slabs, offering a strong solution for intelligent visual inspection in real-world applications.…”
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Path Planning of Surface vessel based on improved IRRT* algorithm by Hao Yu, Xin Wang, Hao Peng

“…The number of path turns has been reduced by 86 %, 90 % and 90 % respectively, which provides an effective solution for the path planning of Surface vessels in complex water environment.…”
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Optimum Design of RC Beams Strengthened with Externally Bonded FRP Using Pattern Search by Noor Mohammed Sheet, Baraa J. M. AL-Eliwi, Rabi M. Najem

“…In this context, an extensive parametric study was conducted to determine the ability to redesign the FRP material dimensions compared to previously published data. …”
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Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems by Lhassane Idoumghar, Mahmoud Melkemi, René Schott, Maha Idrissi Aouad

“…When a local optimal solution is reached with PSO, all particles gather around it, and escaping from this local optima becomes difficult. …”
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Content-based dynamic superframe adaptation for Internet of Medical Things by Yousaf Zia, Arshad Farhad, Faisal Bashir, Kashif Naseer Qureshi, Ghufran Ahmed

“…These low-powered technologies have the ability to integrate several communicating and interacting devices for the purpose of wide range applications such as Smart homes and healthcare applications. …”
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Improved Multiverse Optimization Algorithm for Fuzzy Flexible Job-Shop Scheduling Problem by Jin-Cheng Fang, A-Feng Zeng, Shao-Feng Zheng, Wen-Di Zhao, Xu He

“…Third, four kinds of neighborhood structures were designed to improve the local search ability of the algorithm. In the decoding operation, we adopted the shift-left strategy to completely utilize the idle time of the machine. …”
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A High Efficient Antimicrobial and Corrosion Inhibitor in High-Salinity Oilfield Reinjection Water by WEI Xiao-jing, SHI Xin, REN Tian-hui, ZENG Wen-guang, LIU Dong-mei

“…The scale of reinjection pipeline in high-salinity oilfield in Northwest China was serious, many kinds of bactria bred, and there was serious corrosion under scale.In order to reduce bacterial corrosion to the oilfield reinjection water pipe , a kind of high efficient antimicrobial and corrosion inhibitor was developed.Through the combination of antimicrobial di-decyl dimethyl ammonium chloride and several kinds of D-amino acid, it was realized with sterilization rate all higher than 96% for saprophytic bacteria which attached to scale, iron bacteria and sulfate reducing bacteria which attached to scale.Besides, the effect of time and temperature on the sterilization rate of the combined antimicrobial was investigated.Results showed that the sterilizing rate of this kind of combined antimicrobial increased as the sterilizing time lengthened and reached nearly 100% after 12 h.In saline solution with temperatures ranging from 40 ℃ to 70 ℃, the sterilizing rates were higher than 97.5%, showing an excellent stability toward temperature.Meanwhile, the addition of several kinds of D-amino acid conferred the combined antimicrobial and corrosion inhibitor with certain corrosion inhibition ability.Thus, this kind of antimicrobial corrosion inhibitor could be an ideal alternative to relieve the corrosion situation of high-salinity oilfield reinjection water tubes.…”
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Automation system for finding parking places by О. Napadii, N. Tsopa, Ye. Batrak

“…The article continues the analysis of existing solutions, exploring such well-known mobile applications as ParkMobile and SpotHero, sensor-based and IoT systems, as well as integrated parking technologies. …”
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Optimizing community-based aquaponics: Evaluating the impact of rotary drum filter implementation on water conservation and operational efficiency by Muhammad Fuad, Arief Budihardjo Mochamad, Shofwan Agus, Sumartono Agus, Setyawan Budi, Inandin Nabiha Puteri

“…Moreover, the study highlights the RDF’s ability to minimize labor requirements, making it an ideal solution for community-driven projects with limited resources. …”
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Fault Classification in Diesel Engines Based on Time-Domain Responses through Signal Processing and Convolutional Neural Network by Gabriel Hasmann Freire Moraes, Ronny Francis Ribeiro Junior, Guilherme Ferreira Gomes

“…In today’s interconnected industrial landscape, the ability to predict and monitor the operational status of equipment is crucial for maintaining efficiency and safety. …”
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A Supervised Machine Learning-Based Approach for Task Workload Prediction in Manufacturing: A Case Study Application by Valentina De Simone, Valentina Di Pasquale, Joanna Calabrese, Salvatore Miranda, Raffaele Iannone

“…These findings highlight the potential of machine learning to improve workload forecasting in manufacturing, offering a practical and easily implementable solution for SMEs.…”
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Enhancing transferability of machine learning-based polarizability models in condensed-phase systems via atomic polarizability constraint by Mandi Fang, Yinqiao Zhang, Zheyong Fan, Daquan Tan, Xiaoyong Cao, Chunlei Wei, Nan Xu, Yi He

“…The constrained TNEP model demonstrated improved accuracy in predicting molecular polarizabilities for larger clusters and condensed-phase systems, attributed to the model’s refined ability to properly partition molecular polarizabilities into atomic contributions across systems with diverse configurational features. …”
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Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification. by Xuemei Bai, Yuqing Zhang, Chenjie Zhang, Zhijun Wang

“…However, the domain difference between the source and target domains makes the generalization ability of the model extremely challenging. To reduce the dependence on labeled data, Unsupervised Domain Adaptation (UDA) methods have become an effective way to solve this problem. …”
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Energy-efficient neuromorphic system using novel tunnel FET based LIF neuron design for adaptable threshold logic and image analysis applications by Faisal Bashir, Furqan Zahoor, Ali Alzahrani, Haider Abbas

“…Lastly, we implement a multilayer SNN that confirms the image recognition ability of the proposed neuron with 92.1 $$\%$$ accuracy.…”
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Advances in solid-state NMR methods for studying RNA structures and dynamics by Jinhan He, Xiaole Liu, Shenlin Wang

“…SSNMR has several distinct advantages, including flexibility in sample states, the ability to capture dynamic features of RNA in solid form, and suitability to character RNAs in various sizes. …”
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DualCascadeTSF-MobileNetV2: A Lightweight Violence Behavior Recognition Model by Yuang Chen, Yong Li, Shaohua Li, Shuhan Lv, Fang Lin

“…By introducing the Dual Cascade Temporal Shift and Fusion module, the model further enhances the feature correlation ability in the time dimension and solves the problem of information sparsity caused by multiple temporal shifts. …”
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Species distribution of Cannabis sativa: Past, present and future. by Anna Halpin-McCormick, Tai McClellan Maaz, Michael B Kantar, Kasey E Barton, Rishi R Masalia, Nick Batora, Kerin Law, Eleanor J Kuntz

“…Temperature and precipitation variables and soil variable data were combined for species distribution modeling in the present day and showed high and improved predictive ability together as opposed to when examined in isolation. …”
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Static Behavior of a Modified Through-Core Connection between CFST Column and Composite Beam by Qi-shi Zhou, Hua-wei Fu, Xu-hong Zhou, Yu-jie Yu, Qian-ren Wang

“…Through-core connection has been proven to be an ideal solution to ensure a rigid connection between steel beams and CFST columns. …”
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Distinguishable IQ Feature Representation for Domain-Adaptation Learning of WiFi Device Fingerprints by Abdurrahman Elmaghbub, Bechir Hamdaoui

“…However, DL-based RFFP methods face major challenges concerning their ability to adapt to domain (e.g., day/time, location, channel, etc.) changes and variability. …”
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