Spatial Statistic Analysis of Earthquakes in Aceh Province Year 1921-2014: Cluster Seismicity by Muzailin Affan, Muhammad Syukri, Linda Wahyuna, Hizir Sofyan

“…The selected techniques are Average Nearest Neighbor, Moran Global Index, the Getis-Ord General G, Anselin Local Moran Index, the Getis-Ord Gi*, and Kernel Density Estimation. Each technique is implemented using GIS so that calculations can be done efficiently and quickly. …”
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A novel multiscale feature enhancement network using learnable density map for red clustered pepper yield estimation by Chenming Cheng, Chenming Cheng, Jin Lei, Jin Lei, Zicui Zhu, Lijian Lu, Lijian Lu, Zhi Wang, Zhi Wang, Jiali Tao, Jiali Tao, Xinyan Qin, Xinyan Qin

“…This highlights the model’s ability to achieve the highest accuracy while maintaining efficient deployment capabilities. The proposed method provides an robust algorithmic support for efficient and intelligent yield estimation in RCP.…”
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Genetic variability and trait associations for physiological and agronomic characteristics in bread wheat genotypes under drought stress and well-watered conditions by Mohammed O. Alshaharni, Fatmah A. Safhi, Nora M. Al Aboud, Dmitry E. Kucher, Eman Fayad, Mohammed Alqurashi, Rahmah N. Al-Qthanin, Ibtesam S.M. Almami, Heba I. Ghamry, Diaa Abd El-Moneim, Mohamed M. Kamara, Abdelraouf M. Ali

“…Significant variations were detected among irrigation regimes, genotypes, and their interactions for all assessed characteristics. …”
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Feature fusion with attributed deepwalk for protein–protein interaction prediction by Mei-Yuan Cao, Suhaila Zainudin, Kauthar Mohd Daud

“…While experimental methods for detecting PPIs exist, computational approaches offer a more efficient alternative. …”
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DA-Net: Dual Attention Network for Haze Removal in Remote Sensing Image by Namwon Kim, Il-Seok Choi, Seong-Soo Han, Chang-Sung Jeong

“…The previous deep learning models make use of large convolutional kernel and attention mechanisms for efficient dehazing. …”
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Improved YOLOv8 Algorithm was Used to Segment Cucumber Seedlings Under Complex Artificial Light Conditions by Duokuo Zhang, Na Li, Mingfu Zhao, Kun Xu

“…Finally, the efficient sub-pixel upsampling block (ESPUB) is designed to improve image resolution without compromising computational efficiency, thereby enhancing the model’s adaptability. …”
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Rapid Classification of Milk Using a Cost-Effective Near Infrared Spectroscopy Device and Variable Cluster–Support Vector Machine (VC-SVM) Hybrid Models by Eleonora Buoio, Valentina Colombo, Elena Ighina, Francesco Tangorra

“…This approach provides the dairy industry with a practical, simple and efficient solution to quickly identify skimmed, semi-skimmed and whole milk and detect potential fraud.…”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…This circuit is designed to detect and eliminate the computational effort associated with zero values in the sparse convolutional kernels, thereby enhancing energy efficiency. (2) The data access patterns in convolutional neural networks introduce significant pressure on the high-latency off-chip memory access process. …”
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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

“…Algorithms are constructed in the discrete generalized Mittag-Leffler (GML) kernel for mathematical simulations, emphasizing the effects of the infection resulting from multiple factors. …”
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Candidate gene identification and marker development for seed coat peeling rate in peanut (Arachis Hypogaea L.) by Hongfei Liu, Ziqi Sun, Feiyan Qi, Xiao Wang, Meng Zhang, Juan Wang, Xiaobo Wang, Ziqiang Mo, Mingbo Zhao, Chenyang Zhi, Mengmeng Wang, Zhiyuan Zhou, Linhong Xu, Wenzhao Dong, Zheng Zheng, Xinyou Zhang

“…The seed coat plays a crucial role in resisting pests and diseases, and seed coat peeling rate (SCPR) is a key factor influencing the efficiency and quality of mechanical shelling. Given the high kernel breakage rate and susceptibility to Aspergillus flavus infection during mechanical shelling, gene mining for SCPR holds significant theoretical and practical value. …”
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Bridge Crack Segmentation Algorithm Based on Improved U-Net by Yanhao Fang, Jie LYu, Yonghua Xia, Yingke Wang

“…This enhances the detection of crack-related features and suppresses irrelevant textures. …”
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Associations among blood heavy metals, neurofilament light chains and cognition function in US adults: NHANES 2013–2014 by YuYan Zhou, YaKun Wang, ChunFang Qiu, YuXuan Man, XiaoNian Zhu, ShengKui Tan, HuaiCai Zeng, XueFeng Guo, ZhengBao Zhang

“…Additionally, generalized linear models (GLMs), weighted quantile sum regression (WQS), Bayesian kernel machine regression (BKMR), quantile-based g computation (qgcomp), and restricted cubic splines (RCS) analyses were employed to examine the associations between heavy metals exposure and sNfL level. …”
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DCMC-UNet: A Novel Segmentation Model for Carbon Traces in Oil-Immersed Transformers Improved with Dynamic Feature Fusion and Adaptive Illumination Enhancement by Hongxin Ji, Jiaqi Li, Zhennan Shi, Zijian Tang, Xinghua Liu, Peilin Han

“…To ensure the effective detection of internal insulation defects, this study employs a self-developed micro-robot for internal visual inspection. …”
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Automatic Potato Crop Beetle Recognition Method Based on Multiscale Asymmetric Convolution Blocks by Jingjun Cao, Xiaoqing Xian, Minghui Qiu, Xin Li, Yajie Wei, Wanxue Liu, Guifen Zhang, Lihua Jiang

“…Specifically, it comprises several multiscale asymmetric convolution blocks, which are designed to extract features at multiple scales, mainly by integrating different-sized asymmetric convolution kernels in parallel. We evaluated the MSAC-ResNet through comprehensive model training and testing on a beetle image dataset of 11,325 images across 20 beetle categories. …”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…QSVM employs quantum kernels to map data into a higher-dimensional Hilbert space, so that the model can detect complex patterns in MM drug resistance. qPCA reduces dimensionality without loss of important variance, and thus improves computation efficiency. …”
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In vitro investigation of Mangifera indica L. peel extracts: antibacterial, antioxidant, and docking studies by Salwa M. El-Sayed, Basma T. Abd-Elhalim, Khalid A. El-Dougdoug, Rawia F. Gamal, Ghada G. El-Bana, Nesma Nabil Ibrahim Mohamed

“…Mangos (Mangifera indica L.) and their byproduct peels and kernels are nutrient-dense, distinctive, affordable, efficient, natural, and environmentally friendly sources of antibacterial agents, antioxidants, and other active chemicals. …”
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