Improving Ethnic Diversity in Cancer Trials Through Healthcare Interpreter Training by Suzanne J. Grant, Mayra Ouriques, Abhijit Pal, Sharon Lee, Sheetal Challam, Lindsey Jasicki

“…Phase 2: Training was developed comprising five sections (basic concepts of clinical trials, governance and ethics, phases, informed consent and role of interpreters) using a blend of videos and presentations, interactive polls, and discussions. Pretraining and post‐training surveys were conducted to assess learnings. …”
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Anomaly Detection of Wind Turbines Based on Deep Small-World Neural Network by Yaguang LI, Meng LI

“…After that, the trained network was transformed into a DSWNN model by the randomly add-edges method, where the network parameters are fine-tuned by using minimal amounts of labeled data. …”
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Deriving equivalent symbol-based decision models from feedforward neural networks by Sebastian Seidel, Uwe M. Borghoff

“…Artificial intelligence (AI) has emerged as a transformative force across industries, driven by advances in deep learning and natural language processing, and fueled by large-scale data and computing resources. …”
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Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks by Maram Al Alfi, Pedro Peris-Lopez, Carmen Camara

“…This index is used to construct a graph representation, where nodes correspond to ECG features and edges reflect their relationships based on MI values. …”
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Knowledge graph based entity selection framework for ad-hoc retrieval by Pankaj Singh, Plaban Kumar Bhowmick

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Comparison of ensemble and correlation graphs in the task of classifying brain states based on fMRI data by Vlasenko, Daniil Vladimirovich, Ushakov, Vadim Gennadevich, Zaikin, Aleksei Anatolevich, Zakharov, Denis Gennadevich

“…Methods. This paper presents a novel method for representing fMRI data in graph form based on ensemble learning. …”
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Spatio-Temporal AI Modeling for Urban Traffic Calibration: A SUMO-Based Approach by Pablo Manglano-Redondo, Alvaro Paricio-Garcia, Miguel A. Lopez-Carmona

“… Urban traffic management is a critical challenge in modern cities, necessitating innovative solutions to optimize traffic flow and reduce congestion. This research presents the development of an AI engine leveraging spatio-temporal learning techniques for urban traffic calibration. …”
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A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection by Majid Joudaki, Mehdi Imani, Hamid R. Arabnia

“…The 2D Conv-RBM efficiently extracts spatial features such as edges, textures, and motion patterns while preserving spatial relationships and reducing parameters via weight sharing. …”
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Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction by Varun Shinde, Vineet Dhanawat, Ahmad Almogren, Anjanava Biswas, Muhammad Bilal, Rizwan Ali Naqvi, Ateeq Ur Rehman

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Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks by William Villegas-Ch, Jaime Govea, Alexandra Maldonado Navarro, Pablo Palacios Jativa

“…In this model, devices are represented as nodes and communications as weighted edges, integrating features such as communication frequency, transmitted data volume, and protocol type. …”
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Enhancing Transparency of Neural Networks for Super-Resolution in Remote Sensing Using Local Attribution Maps by M. Marani, M. Marani, X. Wei, X. Wei, F. Lamberti, H. Zhang, H. Zhang

“…As deep learning models advance, their use in Super Resolution (SR) tasks has become pivotal for enhancing remote sensing low-resolution (LR) satellite images. …”
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Multi-crop plant counting and geolocation using a YOLO-Powered GUI System by Renato Herrig Furlanetto, Nathan Schawn Boyd, Ana Claudia Buzanini

“…Crop counting has traditionally relied on manual field assessments or complex machine learning algorithms, which often struggle to identify small objects or underestimate the total count of objects present in the field. …”
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Confronting the Gap between Classroom Ideals and the Reality of Clinical Culture: A Student’s Perspective by Isabelle Band, Krishna Chokshi

“…The scar is long and crooked, with poorly aligned skin edges in several places. “Good enough,” the resident says. …”
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Super-Resolution of Landsat-8 Land Surface Temperature Using Kolmogorov–Arnold Networks with PlanetScope Imagery and UAV Thermal Data by Mahdiyeh Fathi, Hossein Arefi, Reza Shah-Hosseini, Armin Moghimi

“…Additionally, many deep learning (DL)-based super-resolution approaches, such as Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), require significant computational resources. …”
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Mul-material decomposition method for sandstone spectral CT images based on I-MultiEncFusion-Net by Yanfang Wu, Yanfang Wu, Yanfang Wu, Ran Zhang, Ran Zhang, Ran Zhang, Huihua Kong, Huihua Kong, Huihua Kong, Ping Chen, Ping Chen, Ping Chen, Yu Zou

“…Both simulated and practical results indicate that I-MultiEncFusion-Net exhibits superior generalization capability, preserves internal image details, and produces decomposed images with sharper edges.…”
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An Efficient Recommendation Algorithm Based on Heterogeneous Information Network by Ying Yin, Wanning Zheng

“…Heterogeneous information networks can naturally simulate complex objects, and they can enrich recommendation systems according to the connections between different types of objects. At present, a large number of recommendation algorithms based on heterogeneous information networks have been proposed. …”
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Analysis of the Possibility of Using Selected Artificial Intelligence Algorithms for the Assessment of the Microstructure of Vermicular Cast Iron by U. Janiszewska, Ł. Marcjan, S. Gajoch, K. Jaśkowiec, A. Bitka, M. Małysza, D. Wilk-Kołodziejczyk

“…This paper presents an analysis of artificial intelligence algorithms in the context of their applicability to the automatic analysis of microstructure images. …”
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Editing and updating the magazine. A constant dynamic by Manuel Gregorio Loza-Murguia

“…At the beginning of the year 2023, we cordially welcome your manuscripts, so that, after evaluation, they can be published, and we hope that this year will be full of new learnings and challenges.…”
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