BaAM-YOLO: a balanced feature fusion and attention mechanism based vehicle detection network in aerial images by Xunxun Zhang, Xu Zhu

“…However, this task presents significant challenges due to factors such as scale variance, the presence of small vehicles, and complex scenes conditions. The demand for high-quality and precise vehicle detection exacerbates these challenges, particularly in complex environments characterized by low light and occlusion. …”
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Multi-Agent Hierarchical Graph Attention Actor–Critic Reinforcement Learning by Tongyue Li, Dianxi Shi, Songchang Jin, Zhen Wang, Huanhuan Yang, Yang Chen

“…To address the issues of complex information interaction and model scalability, we propose an innovative hierarchical graph attention actor–critic reinforcement learning method. …”
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Novel colloidal poly(MA-alt-1-dodecene)-g-PEO/ODA-MMT/AgNPs nanohybrid composites as antimicrobial, antifungal and anticancer platforms by D. Demircan, Z. M. O. Rzayev, K. Salimi

“…This work presents a new approach to synthesize the colloidal ODA-MMT-poly(maleic anhydride-alt-1-dodecene)-g-α,ω-methoxyhydroxyl-PEO/silver nanoparticles (AgNPs) nanohybrid composites (NHC) using the following synthetic pathways: (1) complex-radical alternating copolymerization of maleic anhydride with 1-dodecene α-olefin comonomer, (2) grafting of PEO onto alternating copolymer through esterification, (3) intercalating a copolymer-g-PEO between organoclay layers via complex formation of maleate carboxyl with octadecyl amine, and (4) in situ generation of AgNPs in polymer nanocomposite by annealing method under vacuum. …”
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Antioxidant Activity, Glycemic Response, and Functional Properties of Rice Cooked with Red Palm Oil by Samsu U. Nurdin, Siti Nurdjanah, Ramadhan Triyandi, Bambang Nurhadi

“…The formation of the amylose lipid complex and triglyceride layers protecting rice starch was confirmed by the new peaks of the FTIR spectra, the appearance of oil-coated starch morphology, and the changes in the proportion of C and O atoms. …”
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A Versatile and Modular Microfluidic System for Dynamic Cell Culture and Cellular Interactions by Qasem Ramadan, Rana Hazaymeh, Mohammed Zourob

“…Immune cells were stimulated through the epithelial layers and the expression of inflammatory cytokines was detected. …”
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The disinformation lifecycle: an integrated understanding of its creation, spread and effects by Kimberley Kruijver, Neill Bo Finlayson, Beatrice Cadet, Sico van der Meer

“…The C5 Interaction Model represents one of the first concerted efforts to bring diverse insights together into a comprehensive integrative framework. The complexity of the model shows that this process is non-liner and that there are a multitude of factors determining the lifecycle of disinformation, making it a highly complex phenomenon to research. …”
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RCLT-Net: An Indoor Panoramic Room Layout Estimation Framework Based on Consecutive Dilated Convolutions and Transformer by Qiucheng Sun, Zhengkai Deng, Jinlong Zhu

“…However, these methods often encounter challenges such as limited receptive fields, insufficient multi-scale feature interaction and integration capabilities, and blurred boundary estimations in complex scenes. To overcome these challenges, we propose ResCDC-Net, a novel feature extraction model that expands the receptive field by incorporating continuous dilated convolutions within convolutional layers and applying varying dilation rates in residual blocks. …”
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Heterogeneity of Deep Tight Sandstone Reservoirs Using Fractal and Multifractal Analysis Based on Well Logs and Its Correlation with Gas Production by Peiqiang Zhao, Qiran Lv, Yi Xin, Ning Wu

“…Deep tight sandstone reservoirs are characterized by low porosity and permeability, complex pore structure, and strong heterogeneity. …”
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Revolutionizing Image Encryption: Introducing the Beta Wavelet Map and DNA Coding Paradigm by Amani Fallah, Monia Hamdi, Nazik Alturki, Oumaima Saidani, Mourad Zaied

“…The strength of our work lies in the meticulous application of Beta Discrete Wavelet Transform (DWT) to encrypt images in the wavelet domain, adding an extra layer of complexity to the encryption process. This paper not only presents a cutting-edge solution for image security but also establishes a new paradigm in the field of encryption by seamlessly merging chaos theory, DNA coding, and wavelet transforms. …”
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Deep Learning Model for Analyzing EEG Signal Analysis by Varun Gupta, Vivek Kumar, Prince, Saurabh Singh, Young-Seok Lee, In-Ho Ra

“…To analyze the physiological information within the acquired EEG signal is very cumbersome due to the possibility of several factors, viz. noise and artifacts, complexity of brain dynamics, and inter-subject variability. …”
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Innovative computational model for optimal deep coal mining under large-scale crustal stress conditions by Shuanhu Li, Chi Li, De Yao, Yuanhao Xing

“…A novel computational model is proposed for key rock layer control under different crustal stress conditions. …”
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Nanoparticle Uptake and Crossing by Human In Vitro Models of Intestinal Barriers: A Scoping Review by Chiara Ritarossi, Valentina Prota, Francesca De Battistis, Chiara Laura Battistelli, Isabella De Angelis, Cristina Andreoli, Olimpia Vincentini

“…Its main limitation lies in the lack of structural complexity, as it does not replicate the diverse cell types and mucus layer present in the human intestinal epithelium. …”
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Optimization of Offshore Wind and Wave Energy Co-Generation System Based on Improved Seagull Optimization Algorithm by Xiaoshi Zhuang, Honglue Wan, Dongran Song, Xinyu Fan, Yuchen Wang, Qian Huang, Jian Yang

“…To address the high complexity layout optimization problem of an offshore wind and wave energy co-generation system, an improved seagull optimization algorithm-based method is proposed. …”
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Classification of Metro Facilities with Deep Neural Networks by Deqiang He, Zhou Jiang, Jiyong Chen, Jianren Liu, Jian Miao, Abid Shah

“…The number of parameters and the computational complexity are much smaller than similar DCNNs. We changed its architecture (the last softmax layer and the auxiliary classifier) and used transfer learning technology to retrain the common facility images in the metro tunnel. …”
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Rapid Dismantling of Aluminum Stranded Conductors: An Automated Approach by Zhinan Cao, Jie Feng, Shijun Xie, Qian Peng, Jiahui Chen, Cheng Wen, Jigang Huang

“…Currently, the dismantling of aluminum stranded conductors remains predominantly manual due to their structural complexity. To enhance the efficiency and reduce the labor intensity for dismantling aluminum stranded conductors, this study presents an innovative torque-driven dismantling method validated through dynamic simulation analysis. …”
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The effect of laser ablation on the corrosion behavior, morphology and wettability of TiAlCrSiZr coating deposited by PVD by Esmaeil Khorasani-javadi, Hassan Elmkhah, Erfan Lotfi-khojasteh, Ensiye Shabanlou, Babak Jaleh, Arash Fattah-alhosseini

“…Moreover, the water contact angle of laser irradiated samples increased with days passing owing to the absorption of carbon complexes. Analysis revealed a finer grain size and the presence of a more stable passive layer in the laser-irradiated region, contributing to the enhanced hydrophobicity and a 35 % decrease in corrosion current density compared to the as-deposited coating. …”
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Addressing Local Minima in Path Planning for Drones with Reinforcement Learning-Based Vortex Artificial Potential Fields by Boyi Xiao, Lujun Wan, Xueyan Han, Zhilong Xi, Chenbo Ding, Qiang Li

“…In complex environments, autonomous navigation for quadrotor drones presents challenges in terms of obstacle avoidance and path planning. …”
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GIS Copilot: towards an autonomous GIS agent for spatial analysis by Temitope Akinboyewa, Zhenlong Li, Huan Ning, M. Naser Lessani

“…We evaluated the copilot across over 100 tasks of varying complexity including basic (single tool/layer), intermediate (multistep with guidance), and advanced (multistep without guidance). …”
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An enhanced YOLOv8‐based bolt detection algorithm for transmission line by Guoxiang Hua, Huai Zhang, Chen Huang, Moji Pan, Jiyuan Yan, Haisen Zhao

“…The improved algorithm improves the accuracy of the bolt detection while reducing the computation complexity to achieve more lightweight model.…”
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Experimental Evaluation of Koala Scat Persistence and Detectability with Implications for Pellet-Based Fauna Census by Romane H. Cristescu, Klara Goethals, Peter B. Banks, Frank N. Carrick, Céline Frère

“…We studied how vegetation communities affect the detectability and decay rate of scats as exemplified by koalas Phascolarctos cinereus: scat detectability was highly and consistently dependent on ground layer complexity (introducing up to 16% non-detection bias); scat decay rates were highly heterogeneous within vegetation communities; exposure of scats to surface water and rain strongly accelerated scat decay rate and finally, invertebrates were found to accelerate scat decay rate markedly, but unpredictably. …”
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