Detecting Mentions of Green Practices in Social Media Based on Text Classification by Anna Valerevna Glazkova, Olga Vladimirovna Zakharova, Anton Viktorovich Zakharov, Natalya Nikolayevna Moskvina, Timur Ruslanovich Enikeev, Arseniy Nikolaevich Hodyrev, Vsevolod Konstantinovich Borovinskiy, Irina Nikolayevna Pupysheva

“…The approach includes the following steps: detecting the most frequent words for each practice type; automatic collecting texts in social media that contain the detected frequent words; expert verification and filtering of collected texts. …”
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Self-Attention GAN for Electromagnetic Imaging of Uniaxial Objects by Chien-Ching Chiu, Po-Hsiang Chen, Yi-Hsun Chen, Hao Jiang

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Dynamic Cohort Formation with Hierarchical Blockchain Using GDP for Enhanced FL by Sunila Fatima Ahmad, Zahra Abbas, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

“…Federated Learning (FL) can be defined as an effective solution for using the benefits of machine learning (ML) in distributed systems, in which the data of the clients remain protected. …”
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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…Subsequently, it details the core steps of data-driven methods, including the acquisition of operational data from various sensors (e.g., vibration, acoustic, strain), signal preprocessing methods, signal processing and feature extraction techniques covering time-domain, frequency-domain, time–frequency domain combination, and modal analysis among others, and the use of machine learning and artificial intelligence models for fault pattern learning and diagnosis. …”
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Real-time monitoring to predict depressive symptoms: study protocol by Yu-Rim Lee, Jong-Sun Lee

“…., active energy, exercise minutes, heart rate, heart rate variability, resting energy, resting heart rate, sleep patterns, steps, walking pace) data and Ecological Momentary Assessment (EMA) through smartphone and wearable-device for two weeks. …”
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Designing green and safe micro mobility routes: An advanced geo-analytic decision system based approach to sustainable urban infrastructure by Ömer Kaya

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Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach by Hoosang Lee, Jeha Ryu

“…Recent advancements in deep learning methods have significantly improved the performance of 3D Human Pose Estimation (HPE). …”
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Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques by Shihui Li, Lan Thi Nguyen, Wirapong Chansanam, Natthakan Iam-On, Tossapon Boongoen

“…The research begins with collecting and manually categorizing Dongba pictograph images, followed by these preprocessing steps to improve image quality: normalization, grayscale conversion, filtering, denoising, and binarization. …”
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Hybrid TCN-transformer model for predicting sustainable food supply and ensuring resilience by Ibrahim Alrashdi, Rasha M. Abd El-Aziz, Ahmed I. Taloba, Mohammed Farsi

“…It uses a Transformer Model's self-attention mechanism to capture the complex interactions across time steps. Hybrid design enables faster training, increased interpretability, and better prediction accuracy than current methods. …”
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Enhanced Model for Gestational Diabetes Mellitus Prediction Using a Fusion Technique of Multiple Algorithms with Explainability by Ahmad Hassan, Saima Gulzar Ahmad, Tassawar Iqbal, Ehsan Ullah Munir, Kashif Ayyub, Naeem Ramzan

“…It uses conventional Machine Learning (ML) and advanced Deep Learning (DL) algorithms. …”
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Enhancing Crowd Safety at Hajj: Real-Time Detection of Abnormal Behavior Using YOLOv9 by Amani A. Alsabei, Tahani M. Alsubait, Hosam H. Alhakami

“…A pivotal aspect of this research was the implementation of critical data pre-processing steps to enhance the object detection model’s performance. …”
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Creating a retinal image database to develop an automated screening tool for diabetic retinopathy in India by Ramachandran Rajalakshmi, Thyparambil Aravindakshan PramodKumar, Ashis Kumar Dhara, Geetha Kumar, Naziya Gulnaaz, Shramana Dey, Sourav Basak, B Uma Shankar, Raka Goswami, Raja Mohammed, Suchetha Manikandan, Sushmita Mitra, Harsimran Thethi, Saravanan Jebarani, Sinnakaruppan Mathavan, Tamilselvi Sarveswaran, Ranjit Mohan Anjana, Viswanathan Mohan, Sambuddha Ghosh, Tushar Kanti Bera, Rajiv Raman

“…This paper delineates the methodology employed for this significant undertaking, detailing the steps taken to create the large retinal image database, as well as the framework for developing a cost-effective, robust AI-based DR diagnostic tool. …”
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A fusion analytic framework for investigating functional brain connectivity differences using resting-state fMRI by Yeseul Jeon, Jeong-Jae Kim, SuMin Yu, Junggu Choi, Sanghoon Han, Sanghoon Han

“…The framework involves three steps: first, constructing ROI-based Functional Connectivity Networks (FCNs) to manage resting-state fMRI data; second, employing a Self-Attention Deep Learning Model (Self-Attn) for binary classification to generate attention distributions encoding group-level differences; and third, utilizing a Latent Space Item-Response Model (LSIRM) to extract group-representative ROI features, visualized on group summary FCNs.ResultsWe applied our framework to analyze four types of cognitive impairments, demonstrating their effectiveness in identifying significant ROIs that contribute to the differences between the two disease groups. …”
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Let’s get in sync: current standing and future of AI-based detection of patient-ventilator asynchrony by Thijs P. Rietveld, Björn J. P. van der Ster, Abraham Schoe, Henrik Endeman, Anton Balakirev, Daria Kozlova, Diederik A. M. P. J. Gommers, Annemijn H. Jonkman

“…Multiple forms of AI have been used for the automated detection of PVA, including rule-based algorithms, machine learning and deep learning. Three licensed algorithms are currently reported. …”
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ZAS-F: A Zero-Shot Abstract Sub-Goal Framework Empowers Robots for Long Horizontal Inventory Tasks by Yongshuai Wu, Jian Zhang, Shaoen Wu, Shiwen Mao, Ying Wang

“…ZAS-F is an imitation-learning-based method that efficiently learns a task policy from a few demonstrations. …”
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A MaxEnt-TRIGRS hybrid model with dynamic safety factor mapping for enhanced debris flow susceptibility assessment in rainfall-triggered terrains by Xinlong Xu, Yue Qiang, Li Li, Siyu Liang, Tao Chen, Wenjun Yang, Xinyi Tan, Xi Wang, He Yang

“…Additionally, to determine the optimal weighting between machine learning and the physical model, we tested three weight combinations and found that a 0.55:0.45 ratio (MaxEnt: TRIGRS) yields the best performance. …”
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Approximated 2-Bit Adders for Parallel In-Memristor Computing With a Novel Sum-of-Product Architecture by Christian Simonides, Dominik Gausepohl, Peter M. Hinkel, Fabian Seiler, Nima Taherinejad

“…Our approach can save up to 125.6 mJ of energy and 505 million steps compared to our exact approach.…”
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Accessibility of Massive Open Online Courses in Computer Sciences and Programming for Persons with Disabilities by E. A. Kosova, A S. Gapon, K. I. Redkokosh

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PhenoVision: A framework for automating and delivering research‐ready plant phenology data from field images by Russell Dinnage, Erin Grady, Nevyn Neal, Jonn Deck, Ellen Denny, Ramona Walls, Carrie Seltzer, Robert Guralnick, Daijiang Li

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Research on collision avoidance path planning method for mining and anchoring equipment in narrow and restricted space of tunneling laneways by Wenjuan YANG, Ran ZHANG, Xuhui ZHANG, Sihao TIAN, Zeyao WANG, Xili ZHENG, Zhiteng REN, Jicheng WAN, Yuyang DU, Hanbing ZHANG

“…Simulation results indicate that, compared to the PPO algorithm and the SAC algorithm, the MAES-SAC algorithm has improved the average reward value by 8.21% and 7.43% respectively, increased the maximum reward value by 0.25% and 0.14% respectively, reduced the steps to reach the maximum reward value by 3.06% and 6.63% respectively, and decreased the standard deviation by 10.07% and 6.99% respectively. …”
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