Editorial by Christian Gütl

“…Fayek, and Mayada Hadhoud from Egypt present their research on human activity recognition (HAR) and discuss a GA-based approach to automatically generate ConvLSTM architectures for human activity recognition. …”
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PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines by Praveen Kumar Sekharamantry, Marada Srinivasa Rao, Yarramalle Srinivas, Archana Uriti

“…In the last several years, much research has been conducted to determine the type of plant in each image automatically. The challenges in identifying the medicinal plants are due to the changes in the effects of image light, stance, and orientation. …”
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Efficient Method of Road Outlier Recognition Using Deep Learning Coupled with Data Augmentation Approach by Sarfaraz Natha, Fareed Ahmed Jokhio, Muhammad Shafique, Naeem Ahmed, Danish Munir Arain

“…These factors make it difficult to automatically identify various anomalies that occur while traveling, leading to emergencies, and endangering human life and property. …”
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Industrial Monitoring System with Real-time Alerts and Automated Protection Mechanisms by Nabusha, Alice, Asiimwe, Julius, Bature, U. I., Mugisha, Simon, Tusiime, Meron

“…This work presents the design and prototyping of an Industrial Monitoring and Protection System aimed at enhancing safety and operational efficiency in industrial environments. …”
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Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution by Norah A. Al-Johany, Fathy E. Eassa, Sanaa A. Sharaf, Eynas H. Balkhair, Sara M. Assiri

“…Traditional static analysis tools often focus only on defect detection, offering limited or no automated correction capabilities. This paper presents a novel static analysis tool designed to detect and automatically correct concurrency-related defects in OpenMP programs. …”
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Improving Stuttering Through Augmented Multisensory Feedback Stimulation by Giovanni Muscarà, Alessandra Vergallito, Valentina Letorio, Gaia Iannaccone, Martina Giardini, Elena Randaccio, Camilla Scaramuzza, Cristina Russo, Maria Giovanna Scarale, Jubin Abutalebi

“…Background/Objectives: Stuttering is a speech disorder involving fluency disruptions like repetitions, prolongations, and blockages, often leading to emotional distress and social withdrawal. Here, we present Augmented Multisensory Feedback Stimulation (AMFS), a novel personalized intervention to improve speech fluency in people who stutter (PWS). …”
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Estimation of Physical Stellar Parameters from Spectral Models Using Deep Learning Techniques by Esteban Olivares, Michel Curé, Ignacio Araya, Ernesto Fabregas, Catalina Arcos, Natalia Machuca, Gonzalo Farias

“…This article presents a new algorithm that uses techniques from the field of artificial intelligence to automatically estimate the physical parameters of massive stars from a grid of stellar spectral models. …”
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Discrepancies between physician review and algorithmic detection of the zoll rescuenet post-cardiac arrest case review by Ayal Z. Pierce, Cody Couperus, Jordan Parker, Allison LaRocco, Michael Mazzeffi, Nicholas A. Morris

“…Substantial variability was present for all variables with increased disagreement for longer pause times. …”
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SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…The exponential growth of Real-World Data (RWD), primarily collected from IoT sensors and spanning domains such as mobility, environment, and energy consumption, presents critical challenges due to its scale, heterogeneity, and structural variability. …”
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Knowledge Graph-Driven Approach in Aspect-Based Sentiment Analysis: Exploring the Impact of Embedding Techniques by Souha Al Katat, Chamseddine Zaki, Hussein Hazimeh, Ibrahim El Bitar, Rafael Angarita, Lionel Trojman

“…Despite the high performance of the existing embedding approaches for Aspect-Based Sentiment Analysis (ABSA), such as Word2Vec and GloVe, they still have several limitations, mainly in contextual understanding and relational insights of natural language, especially in complex and long sentences. This paper presents a novel approach that enhances ABSA by integrating knowledge graphs into a transformer model, where the graphs are automatically built from raw text without requiring external resources, making the system adaptable and fully data-driven. …”
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Automated compilation of Urdu poetry handwritten image datasets for optical character recognition by Irtaza Ijaz, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi, Junaid Shuja, Mohammad Ali Humayun

“…However, such datasets can be obtained from old handwritten books with reference text available online. This study presents a method to leverage this resource and automatically process Urdu handwritten poetry books with corresponding scripts available online. …”
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The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

“…Karst collapse, a sudden geological hazard with complex mechanisms and low predictability, presents significant threats to urban safety and sustainable development by jeopardizing human lives and infrastructure. …”
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Multi-view contrastive learning and symptom extraction insights for medical report generation by Qi Bai, Xiaodi Zou, Ahmad Alhaskawi, Yanzhao Dong, Haiying Zhou, Sohaib Hasan Abdullah Ezzi, Vishnu Goutham Kota, Mohamed Hasan Hasan AbdullaAbdulla, Sahar Ahmed Abdalbary, Xianliang Hu, Hui Lu

“…Abstract The task of generating medical reports automatically is of paramount importance in modern healthcare, offering a substantial reduction in the workload of radiologists and accelerating the processes of clinical diagnosis and treatment. …”
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Association of Sleep Lack with Blood Pressure and Kidney Functions among Young People in Erbil City by Ali Z. Omar, Ismail M. Maulood, Kareem K. Hamad, Hero N. Ali, Shayma B. Bapir, Almas M. R. Mahmud

“…Blood samples were taken to determine serum creatinine utilizing fully automatically biochemical analyzer and also glomerular filtration rate (GFR) was estimated and calculated according to the Cockcroft-Gault equation. …”
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Smart city rankings and startup ecosystems: An empirical analysis of inverse correlation across 77 smart cities by Aleksandra Kuzior, Viktoriia Marhasova, Viera Zozuľakova, Maria Kočnerova, Vitaliia Koibichuk, Lyudmila Ryabushka, Tetiana Vasylieva

“…This counterintuitive result challenges the assumption that technologically advanced cities automatically provide fertile ground for entrepreneurial activity. …”
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Quantifying axonal features of human superficial white matter from three-dimensional multibeam serial electron microscopy data assisted by deep learning by Qiyuan Tian, Chanon Ngamsombat, Hong-Hsi Lee, Daniel R. Berger, Yuelong Wu, Qiuyun Fan, Berkin Bilgic, Ziyu Li, Dmitry S. Novikov, Els Fieremans, Bruce R. Rosen, Jeff W. Lichtman, Susie Y. Huang

“…Myelin and myelinated axons were automatically segmented using deep convolutional neural networks (CNNs), assisted by transfer learning and dropout regularization techniques. …”
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Isolated Grid-Forming Control of Wave Energy Converter for Island Electrification by Md Imran Ullah, Tuanku Badzlin Hashfi, Jessica S. Dohler, Vinicius M. de Albuquerque, Aisuluu Aitkulova, Johan Forslund, Cecilia Bostrom, Addy Wahyudie, Irina Temiz

“…The results also demonstrate the converter’s ability to black-start the island load and automatically transition the load current with varying loads in a few milliseconds. …”
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The Aquatic Metatron: A large‐scale experimental facility to study the combined effects of habitat fragmentation and climate change on aquatic meta‐ecosystems by Murielle Richard, Alexandre Garreau, Elvire Bestion, Julien Cucherousset, Jose M. Montoya, Simon Blanchet

“…All mesocosms can be monitored automatically for abiotic and biotic factors (pH, dissolved oxygen, conductivity, turbidity and chlorophyll a) allowing for long‐term experimentation. …”
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GeoGraphRAG: A graph-based retrieval-augmented generation approach for empowering large language models in automated geospatial modeling by Jianyuan Liang, Shuyang Hou, Haoyue Jiao, Yaxian Qing, Anqi Zhao, Zhangxiao Shen, Longgang Xiang, Huayi Wu

“…Through the graph-driven solution planning phase, GeoGraphRAG automatically generates modeling solutions and geospatial code in response to specific user demands. …”
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Study and Realization of Dual-Mode Mobile Light Detection and Ranging Measurement System by Cai Chen, Xiangling Wu, Ming Guo, Xian Ren, Yuquan Zhou, Dengke Li, Liqiong Liao, Zitian Li

“…To address the positioning limitations of mobile measurement systems without GNSS signals, this paper presents a dual-mode mobile lidar measurement system that combines the GNSS/INS and INS/wheel speed sensor positioning methods, with a time-synchronization controller that automatically switches between the two modes to cope with the loss of GNSS signals. …”
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