Autonomous walking path planning of underground handling robot based on improved A* and DWA algorithm by Kekun ZHANG, Jiusheng BAO, Junwei AI, Xiaoming YUAN, Yan YIN, Maosen WANG, Shirong GE

“…Besides, aiming at the problem that the traditional DWA algorithm has poor running time and path length, the predictive path evaluation function is constructed by coordinating the constraints of underground roadway speed limit, mobile chassis drive motor limit and handling robot braking distance limit, and the obstacle evaluation sub-function is introduced to improve the DWA algorithm by measuring safety and efficiency. The simulation results show that the planned path length and autonomous walking time based on the improved DWA algorithm are shortened by 31.27% and 42.33% respectively, which effectively improves the dynamic obstacle avoidance ability and path planning performance of the handling robot. …”
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A Novel YOLO Algorithm Integrating Attention Mechanisms and Fuzzy Information for Pavement Crack Detection by Qingqing Li, Tianshu Wu, Tingfa Xu, Jianmei Lei, Jiu Liu

“…By embedding a region-based attention mechanism into the YOLOv11 network, the method enhances the model’s ability to focus on crack features. Specifically, the model network layers are progressively pruned to reduce the number of parameters and floating-point operations, thereby further improving operational efficiency and refining detection in the target regions. …”
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EOST-LSTM: Long Short-Term Memory Model Combined with Attention Module and Full-Dimensional Dynamic Convolution Module by Guangxin He, Wei Wu, Jing Han, Jingjia Luo, Lei Lei

“…The multi-scale spatial and temporal features of radar images can be fully extracted by an efficient multi-scale attention module to enhance the model’s ability to perceive global and local information. …”
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A review of AI for optimization of 3D printing of sustainable polymers and composites by Malik Hassan, Manjusri Misra, Graham W. Taylor, Amar K. Mohanty

“…In recent years, 3D printing has experienced significant growth in the manufacturing sector due to its ability to produce intricate and customized components. …”
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Design and Implementation of a Perfect Optical Vortex Sorter Using a Binary Dammann Grating by Redha H. Al Ibrahim, Shuiqin Zheng, Tien Khee Ng, Boon S. Ooi

“…Simulations and experiments were conducted, demonstrating the system's ability to map each topological charge to a unique radial location with high efficiency. …”
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A Transformerless Bidirectional Active Switched Inductor-Based SEPIC High-Gain DC–DC Converter With Buck–Boost Capability by Sunil Mandal, Prajof Prabhakaran, D. Arun Dominic, Arun P. Parameswaran

“…A key feature of the converter is its ability to provide bidirectional buck–boost operation in both power flow directions, while maintaining a reduced component count and improved efficiency through synchronous rectification. …”
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Near Real-Time Data-Driven Adaptive RAN Slicing of VR Traffic in ORAN by Andreas Casparsen, Beatriz Soret, Jimmy Jessen Nielsen, Petar Popovski

“…Open Radio Access Network (ORAN) provides a flexible framework for network slicing in 4G/5G systems, with xApps enabling efficient near-real-time resource management. The purpose of slicing is to allocate resources in a way that meets the heterogeneous demands posed by diverse services, while minimizing the amount of unused resources. …”
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CFD comparison of water based SiO2 nanofluid with benchmark MEA amine solution for CO2 capture through porous membrane contactor by Hadil Faris Alotaibi, Ahmed Mohsen, Bhavesh Kanabar, Abhinav Kumar, Nagaraj Patil, Debasish Shit, V. K. Bupesh Raja, Dhirendra Nath Thatoi, Deepak Gupta

“…Analysis of the results showed the approximately similar performance of SiO2-based nanofluid compared to MEA for separating CO2 (98.8% using SiO2-based nanofluid VS 99.5% using MEA). Despite lower efficiency, SiO2-based nanofluid can be well identified as an environmentally-friendly and efficient alternative absorbent for use in CO2-separation industries instead of chemically-detrimental MEA solutions. …”
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An intelligent non-destructive method to identify the quality of self-compacting concrete based on convolutional neural networks via image recognition by Zhong Xiao, Zixuan Liu, Xuying Guo, Jun Liu

“…The R2 of the proposed optimal CNN model can achieve 0.9987 with superior accuracy and strong generalization ability. It can provide a convenient and cheap method for the project management departments to achieve the intelligent, non-destructive and efficient supervision of concrete quality inspection.…”
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Enhanced distilled water productivity using an innovative semi-cylindrical tent-shaped solar still coupled with evacuated tubes by Abed Alrzaq Alshqirate, Omar Badran, Omar Quran, Ghazi Al-Marahleh, Abdullah N. Olimat, Aiman Al Alawin, Abdullah Al Shorman, Ali Alahmer

“…Additionally, the SCTSCET exhibited a 10 % higher hourly thermal efficiency and a peak exergy efficiency of 5.7 %, compared to 3.4 % for the conventional still, highlighting its superior ability to harness and utilize solar energy for distillation.…”
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Multi-wall carbon Nanotube surface-based functional nanoparticles for stimuli-responsive dual pharmaceutical compound delivery by Masoumeh Nabitabar, Maryam Shaterian, Hossein Danafar, Morteza Enhessari

“…Unique properties such as a high ratio of specific surface area to volume, high chemical stability, chemical adsorption ability, high capacity of drug and biomolecules of carbon nanotubes, as well as multiple drug loading at the same time The combination of ƒ-MWCNT-CUR-BSA MTX significantly impacts cancer therapy), are desirable as an alternative option for targeted drug delivery and high therapeutic efficiency.…”
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The liberation of embryonic stem cells. by Kathryn Blair, Jason Wray, Austin Smith

“…Along with efficient clonal propagation, these properties have made them an unparalleled tool for manipulation of the mouse genome. …”
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STEME: a robust, accurate motif finder for large data sets. by John E Reid, Lorenz Wernisch

“…We recently published an efficient approximation (STEME) to the EM algorithm that is at the core of many motif finders such as MEME. …”
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How Does the Heterogeneity of Members Affect the Evolution of Group Opinions? by An Lu, Haifeng Ling, Zhengping Ding

“…Understanding the impact of heterogeneity on the evolution of group opinions can enlighten us on how to effectively organize, redesign, and improve decision-making efficiency. This article explores mainly the effects of heterogeneity on the evolution of group opinions. …”
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Research progress in globular fruit picking recognition algorithm based on deep learning by LI Hui, ZHANG Jun, YU Shuochen, LI Zhixin

“…Meanwhile, the traditional manual picking method has become unable to meet the demand for fast and efficient picking. To solve the problem of labor shortage, the research and development of automated fruit picking equipment with integrated computer vision have become the key to solve the problem of labor shortage. …”
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Design of a vehicular emergency intercom system using electronic circuits and sensors by Holger Santillán, Carolina López, Kiara García, David Cárdenas

“…This project offers an innovative, efficient, and easy-to-implement solution for improving road safety, featuring high sensitivity to optimize emergency response. …”
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A review: Biogenic synthesis of Ca, Mg, Si nano fertilizers and their foliar studies on legume crops production by Saurabh Singh, Nilesh Mali, Aman Jain, Giriraj Tailor, Nelson Joseph P.

“…The review emphasizes how these biogenically synthesized nanofertilizer contribute to improved plant growth and soil health and focusing on their ability to enhance nutrient efficiency and reduce environmental impact.…”
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Real-time human-robot interaction and service provision using hybrid intelligent computing framework. by Mohammed Albekairi, Meshari D Alanazi, Turki M Alanazi, Mohamed Vall O Mohamed, Khaled Kaaniche, Anis Sahbani, Ali Elrashidi

“…This research introduces a Hybrid Intelligent Computing Model (HICM) to improve robots' ability to process inquiries autonomously. The goal is to make robots better at responding to human questions in real time with efficient, personalized, and context-specific solutions. …”
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Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

“…In addition, it is suitable for handling high-dimensional input data and produces efficient results with low computational cost. We evaluated the efficiency and performance of the ML algorithms using a set of metrics to measure their ability to accurately predict the HFF slope within the data set. …”
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Design and Development of an Omnidirectional Three-Wheeled Industrial Mobile Robot Platform by Johnny J. Yepez-Figueroa, Juan G. Victores, Edwin Daniel Oña, Carlos Balaguer, Alberto Jardón

“…This article highlights the importance of omnidirectional robots as a key solution for applications requiring precise mobility, efficiency and adaptability.…”
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