An Automatic Method for Powerline Extraction From ALS Point Cloud of Powerline Corridors by Di Cao, Cheng Wang, Haibo Liu, Su Zhang, Meng Du, Pu Wang, Sheng Nie, Sijin Cheng

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Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review by Shixiao Tan, Zhen Tang, Qiang He, Ying Li, Yuliang Cai, Jiawei Zhang, Di Fan, Zhenkai Guo

“…It emphasizes the need to integrate algebraic topology and graph convolutional deep learning to address multiscale dynamics, and proposes a unified framework for regulatory-compliant clinical translation that bridges the gap between research innovations and real-world clinical deployment, while outlining future research priorities focused on multimodal data fusion and regulatory-compliant validation frameworks.…”
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Big Data Analytics in IoT, social media, NLP, and information security: trends, challenges, and applications by Kamal Taha

“…By aligning algorithmic properties with domain-specific challenges, this study offers actionable insights for researchers and practitioners seeking effective analytic strategies in the evolving landscape of Big Data.…”
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Study of Cathode Materials for Na-Ion Batteries: Comparison Between Machine Learning Predictions and Density Functional Theory Calculations by Claudio Ronchetti, Sara Marchio, Francesco Buonocore, Simone Giusepponi, Sergio Ferlito, Massimo Celino

“…We trained crystal graph convolutional neural networks and geometric crystal graph neural networks, and we demonstrate the ability of the machine learning algorithms to predict the formation energy of the candidate materials as calculated by the density functional theory. …”
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Machine learning approaches for predicting the link of the global trade network of liquefied natural gas. by Pei Zhao, Hao Song, Guang Ling

“…Utilizing node and edge data from these networks, this research applies machine learning algorithms to predict future links based on local and global similarity-based indices (e.g., CN, JA, PA). …”
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A parameter centric service discovery framework for social digital twins in smart City by Farhan Amin, Salabat Khan, Gyu Sang Choi, Muhammad Ali Abid, Isabel de la Torre, Elisabeth Caro Montero, Irene Delgado Noya

“…Based on the advanced parameters’ selection, an efficient service discovery algorithm is proposed. The proposed model emphasizes efficiency by optimizing the service discovery through reduced social graph traversal (i.e., fewer hops), consideration of the service types, and integration of caching mechanisms. …”
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Beyond buzzwords: NLP reveals common threads in sustainable and circular construction discourse by Shakarim Aubakirov, Alexandr Pak, Iskander Akhmetov, Aidana Tleuken, Huseyin Atakan Varol, Assel Akzhalova, Ferhat Karaca

“…To achieve this, we employed three NLP methods: (1) TextRank, a graph-based ranking algorithm that extracts key structural relationships between terms in a document; (2) term frequency–inverse document frequency, a statistical measure that identifies the most significant terms based on their frequency and uniqueness within the corpus; and (3) semantic annotation (Wikifier), a method that links text tokens to structured knowledge bases such as Wikipedia for better contextual understanding. …”
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Trajectories of Cognitive Complaints in Patients With Breast Cancer and Their Association With Psychosocial and Neurobiological Factors by Rob Colaes, Gwen Schroyen, Rebeca Alejandra Gavrila Laic, Jeroen Blommaert, Sigrid Hatse, Ann Smeets, Stefan Sunaert, Sabine Deprez

“…Rs‐fMRI was analyzed using whole‐brain graph theory and connectivity in four cognition‐related networks. …”
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Can the number of confirmed COVID-19 cases be predicted more accurately by including lifestyle data? An exploratory study for data-driven prediction of COVID-19 cases in metropolit... by Sungwook Jung

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Lancsbox software options for the prospective investigation of the multilingual corpus for European studies by О. Ю. Андрушенко

“…The investigation describes the algorithms of implementing linguistic research as part of the project taught during the course “Multilingual Corpus and its Resources for European Studies (KNLU)” (Erasmus+ Program). …”
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Event Camera Denoising Using Asynchronous Spatio-Temporal Event Denoising Neural Network by W. Wu, H. Yao, C. Zhai, Z. Dai, X. Zhu

“…Compared to conventional cameras, event cameras represent a noteworthy advancement in neuromorphic imaging technology, garnering considerable attention from researchers due to their distinct advantages. However, event cameras are susceptible to significant levels of measurement noise, which can detrimentally affect the performance of algorithms reliant on event stream for tasks such as perception and navigation. …”
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Revolutionizing pharmacology: AI-powered approaches in molecular modeling and ADMET prediction by Irfan Pathan, Arif Raza, Adarsh Sahu, Mohit Joshi, Yamini Sahu, Yash Patil, Mohammad Adnan Raza, Ajazuddin

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Adult Hope Scale: validation in older adults by Kate Labrosciano, Jillian Dorrian, Braam Lowies, Roslyn Russell, Kurt Lushington

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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…The graph convolutional autoencoder (GCA) classifier is employed to classify cognitive fatigue detection. …”
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Operational considerations for approximating molecular assembly by Fourier transform mass spectrometry by Gabriella M. Weiss, Gabriella M. Weiss, Gabriella M. Weiss, Silke Asche, Hannah McLain, Angela H. Chung, Angela H. Chung, Angela H. Chung, S. Hessam M. Mehr, Leroy Cronin, Heather V. Graham

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Disease Diagnosis Systems Using Machine Learning and Deep learning Techniques Based on TensorFlow Toolkit: A review by Firdews A.Alsalman, Shler Khorshid, Amira Sallow

“…Machine learning and deep learning algorithms have become increasingly important in the medical field, especially for diagnosing disease using medical databases. …”
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Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

“…Nevertheless, the overgrowth of seedlings within the plugs can effect the accuracy of detection algorithms. A method for grading and locating strawberry seedlings based on a lightweight YOLOv8s model was presented in this research to effectively mitigate the interference caused by overgrown seedlings.…”
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The Use of Game Theory for Making Rational Decisions in Business Negations: A Conceptual Model by Kęstutis Peleckis

“…In order to create an algorithm of negotiations statements on theory of graphs, game theory and theory of heuristic algorithm were applied. …”
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Participatory approaches and Social Network Analysis to analyse the emergence of collective action for rural development: a case study in the Spanish Pyrenees by M. Teston, E. Sturaro, E. Muñoz-Ulecia, A. Tenza-Peral, S. Raniolo, E. Pisani, C. Pachoud, M. Ramanzin, D. Martín-Collado

“…The trust network was analysed using the Louvain’s algorithm to identify potential internal communities and the exponential random graph model (ERGM) to infer the shaping effects of actors’ attributes on the network’s structure. …”
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Convolutional transform learning based fusion framework for scale invariant long term target detection and tracking in unmanned aerial vehicles by Fatma S. Alrayes, Nazir Ahmad, Asma Alshuhail, Menwa Alshammeri, Ali Alqazzaz, Hassan Alkhiri, Jehad Saad Alqurni, Yahia Said

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