Methodology of Determining the Location of the Distribution Center of Material Flows in a Combined Scheme of Goods Delivery by Svetlana A. Zhestkova

“…We accept its rational coordinates according to the average values obtained for each selected node.Result. …”
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Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

“…As illustrated in Figure 17, the graph of the average grade calculated by both methods and across the two software platforms aligns closely, with variations in tonnage charts primarily reflected in the slope of the graph line at specific grades. …”
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Training-Free VLM-Based Pseudo Label Generation for Video Anomaly Detection by Moshira Abdalla, Sajid Javed

“…Temporal modeling is enhanced through the integration of transformers and Graph Convolutional Networks (GCNs) to capture both short- and long-range dependencies. …”
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LLM-Prop: predicting the properties of crystalline materials using large language models by Andre Niyongabo Rubungo, Craig Arnold, Barry P. Rand, Adji Bousso Dieng

“…Current methods for predicting crystal properties focus on modeling crystal structures using graph neural networks (GNNs). However, accurately modeling the complex interactions between atoms and molecules within a crystal remains a challenge. …”
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Investigation of comparative machine learning models in effluent dephenolization process onto H3PO4-anchored corn cob by Chijioke Elijah Onu, Joseph Tagbo Nwabanne, Ositadimma Chamberline Iheanocho, Paschal Enyinnaya Ohale, Chiamaka Peace Onu, Marcel Ikenna Ejimofor, Suraj Kumar Bhagat, Christian O. Asadu, Christopher C. Obi, Chidiogo Ezekwem

“…SEM micro-graph showed that the modified activated carbon has asymmetrical and interspatial pores which indicated desirable sorption properties of the adsorbent. …”
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AI-integrated IQPD framework of quality prediction and diagnostics in small-sample multi-unit pharmaceutical manufacturing: Advancing from experience-driven to data-driven manufact... by Kaiyi Wang, Xinhai Chen, Nan Li, Huimin Feng, Xiaoyi Liu, Yifei Wang, Yanfei Wu, Yufeng Guo, Shuoshuo Xu, Lu Yao, Zhaohua Zhang, Jun Jia, Zhishu Tang, Zhisheng Wu

“…In this framework, a novel path-enhanced double ensemble quality prediction model (PeDGAT) is proposed, which combines a graph attention network and path information to encode inter-unit long-range and sequential dependencies. …”
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Improving the pilot selection process by using eye-tracking tools by Slaviša Ivan Vlačić, Aleksandar Zdravko Knežević, Saptarshi Mandal, Sanja Rođenkov, Panos Vitsas

“…The results of the adopted network approach presented in the form of graphs and analysis of normalized importance measures showed that it was possible to extract specific saccade strategy for each participant. …”
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Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR by Shihab Ahmad Shahriar, Yunsoo Choi, Rashik Islam

“…Based on this, our study developed a hybrid modeling framework to forecast FWI over a 14-day horizon, integrating Graph Neural Networks (GNNs) with Temporal Convolutional Neural Networks (TCNNs), Long Short-Term Memory (LSTM), and Deep Autoregressive Networks (DeepAR). …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Objectives: In the face of the complex and changing network security environment, how to fight against Advanced Persistent Threat (APT) attacks has become an urgent problem for the entire security community. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Objectives: In the face of the complex and changing network security environment, how to fight against Advanced Persistent Threat (APT) attacks has become an urgent problem for the entire security community. …”
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Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

“…The average error in angle Z — 1.8°. The response time was less than 10 ms. …”
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Evaluating the kidney disease progression using a comprehensive patient profiling algorithm: A hybrid clustering approach. by Mohammad A Al-Mamun, Ki Jin Jeun, Todd Brothers, Ernest O Asare, Khaled Shawwa, Imtiaz Ahmed

“…The top three clusters were presented using comorbidities and medical procedures network graphs, and matched between two methods to find similarities and dissimilarities.…”
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The cartilage-generated bioelectric potentials induced by dynamic joint movement; an exploratory study by Jae-Hyun Lee, Ye-Seul Jang, Won-Du Chang

“…The recorded signals were processed into potential-time graphs, decomposed according to movement states, and analyzed through a deep neural network. …”
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Cardiotoxicity induced by chemotherapy and immunotherapy in cancer treatment: a bibliometric analysis by Xi Zhang, Yanfeng Xue, Mingyan Hao

“…To better understand current trends, research hotspots, and collaborative networks in this area, a bibliometric analysis of relevant literature was conducted. …”
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Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response by Shuyao Zhou, Depeng Kong, Mengke Wang, Baocheng Wang, Yuyao Lu, Honghao Lyu, Zhangli Lu, Yong Tao, Kaichen Xu, Geng Yang

“…Here, a 130 μm‐thick flexible tactile sensor array is designed, with spatial resolution enhanced by a tailored deep learning model, multistage attention‐based adaptive spatial–temporal graph convolutional networks (MS‐AASTGCN), simultaneously achieving a dynamic response of ≈30 ms and a super‐resolution factor of 75.19. …”
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An Efficient Evolutionary Task Scheduling/Binding Framework for Reconfigurable Systems by A. Al-Wattar, S. Areibi, G. Grewal

“…A supporting framework for efficient mapping of execution units to task graphs in a run-time reconfigurable system is also designed. …”
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Machine learning algorithms to predict stroke in China based on causal inference of time series analysis by Qizhi Zheng, Ayang Zhao, Xinzhu Wang, Yanhong Bai, Zikun Wang, Xiuying Wang, Xianzhang Zeng, Guanghui Dong

“…Participants This study employed a combination of Vector Autoregression (VAR) model and Graph Neural Networks (GNN) to systematically construct dynamic causal inference. …”
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Data analysis and evaluation of road weather information system integrated in Lithuania by Alfredas Laurinavičius, Donatas Čygas, Kęstutis Čiuprinskas, Lina Juknevičiūtė

“…The following main components make up the integrated road weather information system: a) spatial analysis of the road microclimate to produce temperature graphs; b) road pavement and atmospheric characteristics’ sensors providing information on the actual weather conditions on the roads; c) computer and information network. …”
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Deep Learning in Power Systems: A Bibliometric Analysis and Future Trends by Seyed Mahdi Miraftabzadeh, Andrea Di Martino, Michela Longo, Dario Zaninelli

“…Over 37,600 authors contributed, averaging 12 citations per paper. Keyword trends show traditional deep learning techniques like LSTMs and CNNs are widely used in power systems, while newer methods like advanced reinforcement learning, graph neural networks, and physics-informed neural networks are emerging, promising advancements in optimal power flow, V2G integrations, and grid resilience. …”
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Geospatial and temporal pattern of reported snakebite cases to health facilities in the Savannah Region, Ghana, 2018 – 2022 by Williams Azumah Abanga, Adjei Sarfo Kwabena, Jonas Adodoo, Gyesi Razak Issahaku, George Akowuah, Magdalene Akos Odikro, Delia Akosua Bandoh, Ernest Kenu, Chrysantus Kubio

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