Current Trends and Advances in Extractive Text Summarization: A Comprehensive Review by Maryam Azam, Shah Khalid, Sulaiman Almutairi, Hasan Ali Khattak, Abdallah Namoun, Amjad Ali, Hafiz Syed Muhammad Bilal

“…These techniques include statistical, fuzzy logic, rule, optimization, graph, clustering-based, machine learning, and deep learning. …”
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Ontological approach to modeling innovation processes on the example of a distributed educational network of the University by D. G. Korneev, M. S. Gasparian, A. A. Mikryukov

“…In our opinion, it corresponds to world trends in the development of science in this field of knowledge.It is proposed to use the methods and methodologies of knowledge engineering as engineering methods: ontological engineering methods used for semantic modeling of the information and educational environment, allowing to represent the subject area in the form of a set of interconnected ontologies; methods for constructing and visualizing ontologies; methodologies for building databases and knowledge bases and forming complex queries to databases and knowledge bases; methods for semantic analysis of metadata; graph theory.As a result of the analysis of the objects of the information and educational environment, the requirements for the meta-description of educational objects and services are identified, and a description of the concepts of basic ontologies of the informational and educational environment is presented. …”
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Toward reliable fluorescence imaging: Optical prior-guided probabilistic reconstruction for structured illumination microscopy by Kun Lin, Junkang Dai, Huaian Chen, Yi Jin

“…For structured illumination microscopy (SIM) used for fast and long-term imaging at low excitation levels, the risk of unreliable misconceptions will be more non-negligible due to severe noise and super-resolution reconstruction. Here we present PG-SIM, a probabilistic SIM reconstruction method based on Bayesian neural networks and incorporating graph representation learning (GRL) to model optical prior knowledge. …”
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Improving SLICES crystal representation through CHGNet integration and parameter tuning by Bizhu Zhang, Kedeng Wu, Chang Zhang, Hang Xiao, Liangliang Zhu

“…To bridge this gap, we present an enhanced approach to the simplified line-input crystal-encoding system (SLICES) representation by incorporating the Crystal Hamiltonian Graph Neural Network (CHGNet) machine learning force field model. …”
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Remaining Useful Life Prediction of Airplane Engine Based on Bidirectional Mamba and Causal Discovery by Min Li, Longxia Zhu, Meiling Luo, Ting Ke

“…The new idea proposed is the Mamba deep learning model, which aims to find a good balance between predictive performance and computation cost. …”
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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…Due to long-range dependencies in point cloud feature extraction, the Dynamic Graph Convolution combined with Transformer (DGFormer) is developed as the point cloud feature encoder. …”
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Toward AI-Augmented Formal Verification: A Preliminary Investigation of ENGRU and Its Challenges by Chanon Dechsupa, Teerapong Panboonyuen, Wiwat Vatanawood, Praisan Padungweang, Chakchai So-In

“…These graphs are transformed into sequential representations as sub-paths, enabling ENGRU to learn the execution paths and predict system behaviors. …”
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Building the optimal hybrid spatial Data-Driven Model: Balancing accuracy and complexity by Emanuele Barca, Maria Clementina Caputo, Rita Masciale

“…Researchers and scholars have continually advanced this field with modern techniques such as Integrated Nested Laplace Approximation (INLA), Deep Learning (DL), and Graph Neural Networks (GNN) models. …”
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Goistrat: gene-of-interest-based sample stratification for the evaluation of functional differences by Carlos Uziel Pérez Malla, Jessica Kalla, Andreas Tiefenbacher, Gabriel Wasinger, Kilian Kluge, Gerda Egger, Raheleh Sheibani-Tezerji

“…Results To address this gap, we present a novel workflow for the stratification and further analysis of multi-omics samples with matched RNA-Seq data that relies on MSigDB curated gene sets, graph machine learning and ensemble clustering. …”
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Child-Sum (N2E2N)Tree-LSTMs: An interactive Child-Sum Tree-LSTMs to extract biomedical event by Lei Wang, Han Cao, Liu Yuan

“…Tree-LSTM can update gate and memory vectors from the multiple sub-units. Learning edge features can strengthen the expression ability of graph neural networks. …”
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A Retrieval-Augmented Generation Approach for Data-Driven Energy Infrastructure Digital Twins by Saverio Ieva, Davide Loconte, Giuseppe Loseto, Michele Ruta, Floriano Scioscia, Davide Marche, Marianna Notarnicola

“…Data integration and mining based on machine learning are integrated into a knowledge graph annotating asset status data, prediction outcomes, and background domain knowledge in order to support a retrieval-augmented generation approach, which enhances a conversational virtual assistant based on a large language model to provide user decision support in asset management and maintenance. …”
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Autonomous Mobile Robot Path Planning Techniques—A Review: Classical and Heuristic Techniques by Mubarak Badamasi Aremu, Ibrahim K. Kabir, Gamil Ahmed, Sami El-Ferik

“…We categorize existing approaches based on their core principles, including graph-based, heuristic-based, metaheuristic-based, and learning/reasoning-based methods. …”
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Comparative Analysis of YOLOv8 and HSV Methods for Traffic Density Measurement by Prof. I Gede Pasek Suta Wijaya, Muhamad Nizam Azmi, Ario Yudo Husodo

“…At the beginning of the abstract, we clearly present the problem of accurately measuring traffic density. …”
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HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…The proposed HyQ2 is integrated with graph-embedded and quantum variational circuits to validate and detect vulnerabilities from the 5G system's state transitions based on graphs extracted from log files. …”
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TrimNN: characterizing cellular community motifs for studying multicellular topological organization in complex tissues by Yang Yu, Shuang Wang, Jinpu Li, Meichen Yu, Kyle McCrocklin, Jing-Qiong Kang, Anjun Ma, Qin Ma, Dong Xu, Juexin Wang

“…However, the topological principles governing interactions among cell types within spatial patterns remain poorly understood. Here, we present the triangulation cellular community motif neural network (TrimNN), a graph-based deep learning framework designed to identify conserved spatial cell organization patterns, termed cellular community (CC) motifs, from spatial transcriptomics and proteomics data. …”
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The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time by Kang Chen, Tao Han, Fenghua Ling, Junchao Gong, Lei Bai, Xinyu Wang, Jing-Jia Luo, Ben Fei, Wenlong Zhang, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang

“…Abstract Given the complexity of the atmospheric system, current numerical weather prediction models struggle with accurate forecasts. Here we present FengWu, an Artificial-Intelligence-driven global medium-range forecasting system employing multi-modal and multi-task learning to simulate atmospheric dynamics at 0.25° spatial resolution across 13 pressure levels. …”
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Advanced beamforming and reflection control in intelligent reflecting surfaces with integrated channel estimation by Sakhshra Monga, Anmol Rattan Singh, Nitin Saluja, Chander Prabha, Shivani Malhotra, Asif Karim, Md. Mehedi Hassan

“…User interactions are captured using a permutation‐invariant graph neural network (GNN) architecture. Simulation results show that implicit channel estimation method requires fewer pilots than standard approaches, effectively learns to optimise sum rate or minimum‐rate targets, and generalises well. …”
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Introducing undergraduate students to human evolution through eco-immunology by Meena M. Balgopal, Meena M. Balgopal, Jennifer L. Neuwald, Jennifer L. Neuwald, Sumali Pandey

“…Student narrative examples regarding confidence, perceptions of graphical reasoning, and perceptions of interdisciplinary research are presented.DiscussionWe conclude that students can increase their performance and perceptions of eco-immunology and graphical reasoning through an active learning, graph reading module. …”
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Effect of involuntary and voluntary exercise in an enrichment environment on astrogliosis reaction of hippocampus white matter in type 3 diabetic rat models by Masoud Jamshidi, Mohammadreza Kordi, Fatemeh Shabkhiz

“…Statistical calculations were performed by GraphPad Prism software version 8, SPSS version 21, and Microsoft Excel software version 2010.Results: The present study results showed that the type-3 diabetes control group had the highest amount of GFAP expression. …”
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Fog Service Placement Optimization: A Survey of State-of-the-Art Strategies and Techniques by Hemant Kumar Apat, Veena Goswami, Bibhudatta Sahoo, Rabindra K. Barik, Manob Jyoti Saikia

“…To solve this problem, various authors proposed different algorithms like the randomized algorithm, heuristic algorithm, meta heuristic algorithm, machine learning algorithm, and graph-based algorithm for finding the optimal placement. …”
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