An Underwater Stereo Matching Method: Exploiting Segment-Based Method Traits without Specific Segment Operations by Xinlin Xu, Huiping Xu, Lianjiang Ma, Kelin Sun, Jingchuan Yang

“…In underwater images, irregular object surfaces and the absence of texture information make it difficult for stereo matching algorithms that rely on discrete disparity values to accurately capture the 3D details of underwater targets. …”
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Sugarcane Feed Volume Detection in Stacked Scenarios Based on Improved YOLO-ASM by Xiao Lai, Guanglong Fu

“…Experimental results demonstrate that the fused YOLO-ASM algorithm reduces sugarcane volume error rates across feed volumes of one to six by 3.45%, 3.23%, 6.48%, 5.86%, 9.32%, and 11.09%, respectively, compared to the original stereo matching algorithm. …”
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A Novel Dangerous Goods Detection Network Based on Multi-Layer Attention Mechanism in X-Ray Baggage Images by Xu Yang, Ting Lan, Yili Xu

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Research on Detection and Counting Method of Green Walnut Based on YOLOv8n-RBP by Bangbang Chen, Keke Tan, Kun Li, Baojian Ma, Xiangdong Liu

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Analysis of two decades of Landsat satellite images reveals long-term changes in aquatic and terrestrial vegetation in Bimini, The Bahamas with coastal development by Emily C. Cormier, Emmanuel Devred, Kristen L. Wilson, Matthew J. Smukall, Mariana M.P.B. Fuentes, Heike K. Lotze

“…Our study highlights the effectiveness of the AASG algorithm in mapping across time as well as the importance of mitigation efforts in reducing impacts on seagrass beds. …”
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Beyond human-in-the-loop: Sensemaking between artificial intelligence and human intelligence collaboration by Xinyue Hao, Emrah Demir, Daniel Eyers

“…Using a sensemaking framework and cognitive mapping methodology, we explored how HI interpret and interact with AI across pre-development, deployment, and post-development phases. …”
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In-Bed Posture Classification Using Pressure Data from a Sensor Sheet Under the Mattress by André Serra, Fernando Ribeiro, José Metrôlho

“…Techniques using pressure maps from sensors placed on top of the mattress, along with machine learning (ML) algorithms to classify main postures (prone, supine, left side, right side), have achieved up to 99% accuracy. …”
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Data protection enhancement in smart grid communication: An efficient multi-layer encrypting approach based on chaotic techniques and steganography by Osama abd Qasim, Sajjad Golshannavaz

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MRSNet: Multi-Resolution Scale Feature Fusion-Based Universal Density Counting Network by Yi Zhang, Wei Song, Mingyue Shao, Xiangchun Liu

“…It utilizes independent modules to process high- and low-resolution features, adaptively adjusts receptive field sizes, and incorporates dynamic sparse attention mechanisms to optimize feature information at each resolution, by integrating optimal features across multiple scales into density maps for counting evaluation. …”
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Comparative Validation and Misclassification Diagnosis of 30-Meter Land Cover Datasets in China by Xiaolin Xu, Dan Li, Hongxi Liu, Guang Zhao, Baoshan Cui, Yujun Yi, Wei Yang, Jizeng Du

“…Land cover maps with high accuracy are essential for environmental protection and climate change research. …”
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Quantifying conformational heterogeneity of 3D genome organization in fruit fly. by Samira Mali, Igor S Tolokh, Erik Cross, Alexey V Onufriev

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Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…Furthermore, these workflows lay the foundation for implementing long-term learning algorithms, a pivotal increment for monitoring initiatives. …”
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Overcoming the challenges of data integration in ecosystem studies with machine learning workflows: an example from the Santos project by Gustavo Fonseca, Danilo Candido Vieira

“…Furthermore, these workflows lay the foundation for implementing long-term learning algorithms, a pivotal increment for monitoring initiatives. …”
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Comparison of Neural Network, Ordinary Kriging, and Inverse Distance Weighting Algorithms for Seismic and Well-Derived Depth Data: A Case Study in the Bjelovar Subdepression, Croat... by Ana Brcković, Tomislav Malvić, Jasna Orešković, Josipa Kapuralić

“…In subsurface geological mapping, it is more than advisable to compare different solutions obtained with neural and other algorithms. …”
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SMA-YOLO: An Improved YOLOv8 Algorithm Based on Parameter-Free Attention Mechanism and Multi-Scale Feature Fusion for Small Object Detection in UAV Images by Shenming Qu, Chaoxu Dang, Wangyou Chen, Yanhong Liu

“…Consequently, we propose a UAV image small object detection algorithm, termed SMA-YOLO. Firstly, a parameter-free simple slicing convolution (SSC) module is integrated in the backbone network to slice the feature maps and enhance the features so as to effectively retain the features of small objects. …”
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LSTM-Based NLP Chatbot for Fish E-Marketplace at BBI Cangkiran Mijen by Tri Agus Wahyudi, Riana Defi Mahadji Putri, Ulfah Mediaty Arief, Vera Noviana Sulistyawan

“…Algorithm validation results show an accuracy of 97%, precision of 94%, and recall of 95%.…”
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Improving Offshore Wind Speed Forecasting with a CRGWAA-Enhanced Adaptive Neuro-Fuzzy Inference System by Yingjie Liu, Fahui Miao

“…The proposed CRGWAA integrates Chebyshev mapping initialization, an elite-guided reflection refinement operator, and a generalized quadratic interpolation strategy to enhance population diversity, adaptive exploration, and local exploitation capabilities. …”
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Development of a Collision-Free Path Planning Method for a 6-DoF Orchard Harvesting Manipulator Using RGB-D Camera and Bi-RRT Algorithm by Zifu Liu, Rizky Mulya Sampurno, R. M. Rasika D. Abeyrathna, Victor Massaki Nakaguchi, Tofael Ahamed

“…The experimental results validated our method, with the Bi-RRT algorithm achieving reliable collision-free path planning across all experimental sets. …”
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An improved lightweight tiny-person detection network based on YOLOv8: IYFVMNet by Fan Yang, Lihu Pan, Hongyan Cui, Linliang Zhang

“…To address these, four major innovations are introduced: (1) Fasternet is used to improve the bottleneck structure in the cross-stage feature fusion backbone network. This approach fully utilizes all feature map information while minimizing the computational and memory requirements. (2) the neck network structure is optimized using the Vovnet Gsconv Cross Stage Partial module. …”
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Uncovering latent biological function associations through gene set embeddings by Yuhang Huang, Fan Zhong, Lei Liu

“…Traditional graph-theoretical approaches have been instrumental in mapping key biological processes using high-confidence interaction data. …”
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