INTEGRATION OF HETEROGENEOUS KNOWLEDGE IN INTELLECTUAL INFORMATION SYSTEMS BASED ON MULTI-AGENT SIMULATION by Yury A. Kravchenko, Markov V. Vladimir

“…The article considers the problem of creating a multi-agent models integrating heterogeneous prior knowledge about the subject of research in order to ensure the possibility of combining the analytical information from different domains in intellectual information systems. …”
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Perancangan Jaringan Wifi di Desa Landungsari Guna Efisiensi Tagihan Bulanan by Mohammad Andy Sampurno, Poerbaningtyas E

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Exploring a multi-path U-net with probability distribution attention and cascade dilated convolution for precise retinal vessel segmentation in fundus images by Ruihong Zhang, Guosong Jiang

“…Finally, the output from the dual-path U-Net is processed through a feature refinement module. …”
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Risk Management as Element of Economic Security in Companies Working with Digital Technologies by S. P. Burlankov, K. O. Semenov, E. V. Galaktionova, V. A. Komarov

“…At the same time advanced technologies of information protection were mentioned, such as blockchain, big data, artificial intellect, computer learning, and neuron nets.…”
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Antarctic Sea Ice Extraction for Remote Sensing Images via Modified U-Net Based on Feature Enhancement Driven by Graph Convolution Network by Wu Feng, Xiulin Geng, Xiaoyu He, Miao Hu, Jie Luo, Meihua Bi

“…Deep learning has been explored for sea ice extraction, but traditional convolutional neural network models are constrained by a limited perceptual field, making it difficult to obtain global contextual information from remote sensing images. A novel model named GEFU-Net, a modification of U-Net, is presented. …”
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Accurately Estimate and Analyze Human Postures in Classroom Environments by Zhaoyu Shou, Yongbo Yu, Dongxu Li, Jianwen Mo, Huibing Zhang, Jingwei Zhang, Ziyong Wu

“…Additionally, ECAv2Net is integrated into the high-resolution network HRNet to create ECAv2-HRNet. …”
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Delivering insecticide-treated nets (ITNs) through a digitized single-phase door-to-door strategy: lessons from Ondo state, Nigeria by Laitan Adeniyi, Elisabeth G. Chestnutt, Kunle Rotimi, Azuka Iwegbu, Olusola Oresanya, Julianna Smith, Kolawole Maxwell, Tarekegn A. Abeku

“…Abstract Background The use of insecticide-treated nets (ITNs) is a strategy recommended by the World Health Organization (WHO) for malaria prevention. …”
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STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS by Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer

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Insights into cetacean sightings, abundance, and feeding associations: observations from the boat lift net fishery in the Kaimana important marine mammal area, Indonesia by Mochamad Iqbal Herwata Putra, Yance Malaiholo, Achmad Sahri, Edy Setyawan, Sekar M. C. Herandarudewi, Abdy W. Hasan, Hanggar Prasetio, Nur Ismu Hidayat, Mark V. Erdmann

“…Our findings suggest a strong association between T. aduncus and lift-net fisheries, where they have been observed feeding on anchovies from outside the net in the morning. …”
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SDA-Net: A Spatially Optimized Dual-Stream Network with Adaptive Global Attention for Building Extraction in Multi-Modal Remote Sensing Images by Xuran Pan, Kexing Xu, Shuhao Yang, Yukun Liu, Rui Zhang, Ping He

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EEG-SymNet: multi-channel EEG signal-based schizophrenia diagnosis using channel recalibration and symmetric spatial temporal transformer network by Naif Alsharabi, Rakesh Kumar Mahendran, Gharbi Alshammari

“…First, Hierarchical Spatial Temporal Graph Neural Network (HSTG-Net) captures spatial features across channels, allowing for a comprehensive understanding of the EEG data. …”
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RED-Net: A Neural Network for 3D Thyroid Segmentation in Chest CT Using Residual and Dilated Convolutions for Measuring Thyroid Volume by Min-Ji Kim, Jin-A Kim, Naae Kim, Yul Hwangbo, Hyun Jeong Jeon, Dong-Hwa Lee, Ji Eun Oh

“…We designed a residual and dilated convolution neural network (RED-Net), which automatically measures thyroid volume by segmenting the thyroid gland in contrast-enhanced chest CT scans. …”
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Safety netting advice for acutely ill children presenting to ambulatory care: exploring parents’ opinions, ideas, and expectations through focus group interviews by Ruben Burvenich, Stefan Heytens, David A.G. Bos, Kaatje Van Roy, Thomas Struyf, Jaan Toelen, An De Sutter, Jan Y. Verbakel

“…Abstract Background Safety netting advice (SNA) is an essential component of the management of acutely ill children in ambulatory care. …”
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NGSTGAN: N-Gram Swin Transformer and Multi-Attention U-Net Discriminator for Efficient Multi-Spectral Remote Sensing Image Super-Resolution by Chao Zhan, Chunyang Wang, Bibo Lu, Wei Yang, Xian Zhang, Gaige Wang

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Factors Affecting Utilization of Insecticide Treated Nets in Households Among Children Under Five Years of Age in Kazo Town Council, Kazo District. by Tumwebaze, Rodgers

“…The study was carried on factors affecting utilization of insecticide treated nets in household’s song children under five years of age in Kazo town council, Kazo district. …”
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Building Footprint Extraction from High Resolution Aerial Images Using Generative Adversarial Network (GAN) Architecture by Arnick Abdollahi, Biswajeet Pradhan, Shilpa Gite, Abdullah Alamri

“…BConvLSTM combines encoded features (containing of more local information) and decoded features (containing of more semantic information) to improve the performance of the model even with the presence of complex backgrounds and barriers. …”
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FruitsMultiNet: A deep neural network approach to identify fruits through multi-scale feature fusion using mobile interface by Tasauf Mim, Md Mahbubur Rahman, Jahanur Biswas, Ahmad Shafkat, Khandaker Mohammad Mohi Uddin

“…The proposed research combines MobileNet and VGG16 to build a transfer learning (TL) principles-based framework named FruitsMultiNet. …”
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BRA-YOLOv7: improvements on large leaf disease object detection using FasterNet and dual-level routing attention in YOLOv7 by Rong Ye, Rong Ye, Quan Gao, Quan Gao, Tong Li, Tong Li

“…BRA-YOLOv7 incorporates PConv and FasterNet as replacements for the original network structure of YOLOv7, reducing the number of floating-point operations and improving efficiency. …”
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Magnetic Resonance Imaging Brain Segmentation Using Bi-Directional Convolutional Long Short-Term Memory U-Net With Densely Connected Convolutions by Meshari D. Alanazi, Amna Maraoui, Imen Werda, Ahmed Ben Atitallah, Turki M. Alanazi, Mohammed Albekairi, Anis Sahbani, Amr Yousef

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Advanced 3D Face Reconstruction from Single 2D Images Using Enhanced Adversarial Neural Networks and Graph Neural Networks by Mohamed Fathallah, Sherif Eletriby, Maazen Alsabaan, Mohamed I. Ibrahem, Gamal Farok

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