An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal by Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo-Rial

“…This novel online processing pipeline has two main highlights: (i) a dedicated sample pre-processing module, which builds statistical and frequency-related features on the fly, and (ii) an explainability module. …”
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Design and Validation of an Edge-AI Fire Safety System with SmartThings Integration for Accelerated Detection and Targeted Suppression by Seung-Jun Lee, Hong-Sik Yun, Yang-Bae Sim, Sang-Hoon Lee

“…These findings demonstrate the system’s capacity to provide proactive, energy-efficient, and spatially targeted fire response suitable for high-value infrastructure. …”
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Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction by Lei Li, Xue Gao

“…To avoid the cost associated with manual labeling of the training data, the first-order gradient feature is used with the <i>k</i>-means algorithm to cluster and label the original training data set automatically into uphill and downhill training data sets. …”
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MODELS FOR DEVELOPMENT OF LEADERSHIP QUALITIES IN STUDENT YOUTH: DOMESTIC AND FOREIGN EXPERIENC by Lavrentieva Olena, Krupskyi Oleksandr

“…Current theories underlying the investigation of the youth leadership phenomenon have been considered, among which are the Trait Theory and the Great Person Theory, Theories of resonant, proactive, emotional, charismatic, democratic, transformational, situational, participative, servant leadership, and whatever. …”
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An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study by Yingfeng Ge, Jianan Yin, Caie Chen, Shuo Yang, Yuduan Han, Chonglong Ding, Jiaming Zheng, Yifan Zheng, Jinxin Zhang

“…Spectral, nonlinear, and functional connectivity features were extracted from the EEG data, subjected to feature selection and dimensionality reduction, and then fed into various machine learning classifiers for discrimination. …”
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Protecting digital assets using an ontology based cyber situational awareness system by Tariq Ammar Almoabady, Yasser Mohammad Alblawi, Ahmad Emad Albalawi, Majed M. Aborokbah, S. Manimurugan, Ahmed Aljuhani, Hussain Aldawood, P. Karthikeyan

“…The Isolation Forest algorithm excels in anomaly detection in high-dimensional datasets, while autoencoders provide nonlinear detection capabilities and adaptive feature learning. Together, they form a robust framework for proactive anomaly detection.MethodsThe proposed methodology leverages the Isolation Forest for efficient anomaly identification and autoencoders for feature learning and nonlinear anomaly detection. …”
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Identification and Speciation of Aspergillus in Clinical and Environmental Samples using Culture-Based Methods: A Laboratory-based Study in Hyderabad by Shaik Begum Meherunnisa, Mohd Ubaidullah Ansari, Mohammed Yasser Arafath K M, Juveria Sultana

“…Routine surveillance of Aspergillus species in both clinical and environmental samples can guide targeted antifungal therapy and support proactive infection control in healthcare environments. …”
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To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning by B. I. Ogunvoul, V. D. Budaev, D. O. Sizikov, N. V. Gorbakon, A. V. Vlasova

“…The application of Poisson distribution regression in combination with polynomial features allows to reveal the regularities of equipment failures, which depend on operating conditions and maintenance history. …”
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An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification by Ayesha Shaik, Shivanya Shomir Dutta, Ishaan Milind Sawant, Shreyas Kumar, Ananthakrishnan Balasundaram, Kanjar De

“…This research aims to empower healthcare professionals by providing a robust diagnostic tool that enhances accuracy and supports proactive management strategies. The model’s ability to analyze high-resolution images and capture complex features of skin lesions promises significant advancements in early detection and personalized treatment. …”
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Foresight for Career Development by Anna Kononiuk, Anna Pajak, Alicja Eva Gudanowska, Andrzej Magruk, Eva Rollnik-Sadowska, Justyna Kozlowska, Anna Sacio-Szymanska

“…It means the ability to adapt to new conditions, or proactive creation of the future, in a way that is favourable. …”
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Harnessing Semantic and Trajectory Analysis for Real-Time Pedestrian Panic Detection in Crowded Micro-Road Networks by Rongyong Zhao, Lingchen Han, Yuxin Cai, Bingyu Wei, Arifur Rahman, Cuiling Li, Yunlong Ma

“…Current detection models often rely on single-modality features, which limits their effectiveness in complex and dynamic crowd scenarios. …”
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MaxEnt-Based Distribution Modeling of the Invasive Species <i>Phragmites australis</i> Under Climate Change Conditions in Iraq by Nabaz R. Khwarahm

“…Policymakers should focus on regions with emerging suitability risks for proactive monitoring and management. Additionally, areas already infested by the species require enhanced surveillance and containment measures to mitigate ecological and socioeconomic impacts.…”
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Deep Learning Autoencoders for Fast Fourier Transform-Based Clustering and Temporal Damage Evolution in Acoustic Emission Data from Composite Materials by Serafeim Moustakidis, Konstantinos Stergiou, Matthew Gee, Sanaz Roshanmanesh, Farzad Hayati, Patrik Karlsson, Mayorkinos Papaelias

“…The autoencoder model reduces the dimensionality of the data while preserving essential features, enabling unsupervised clustering to identify distinct damage states. …”
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Prediction of induction motor faults using machine learning by Ademola Abdulkareem, Tochukwu Anyim, Olawale Popoola, John Abubakar, Agbetuyi Ayoade

“…Implementing such a model can enable proactive maintenance, ultimately leading to decreased downtime in industrial operations. …”
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DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model by Fatma S. Alrayes, Hamed Alqahtani, Wahida Mansouri, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Mahmud

“…Abstract Violence recognition in surveillance videos is a vital feature of current security systems. It can improve complete security measures, making it essential in generating safe public places and defending against unforeseen security tasks. …”
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Enhanced Ground Fissure Detection in Mining Areas Based on Visible&#x2013;Infrared Image Fusion and YOLOv5 by Yixin Zhao, Liangchen Zhao, Jihong Guo, Kangning Zhang, Chunwei Ling, Shirui Wang, Hua Bian

“…By combining complementary information from visible and infrared images, the fusion strategy improves the representation of fissure features, which are then processed by the YOLOv5 network for precise and efficient object detection. …”
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MANET Routing Protocols’ Performance Assessment Under Dynamic Network Conditions by Ibrahim Mohsen Selim, Naglaa Sayed Abdelrehem, Walaa M. Alayed, Hesham M. Elbadawy, Rowayda A. Sadek

“…Mobile Ad Hoc Networks (MANETs) are decentralized wireless networks characterized by dynamic topologies and the absence of fixed infrastructure. These unique features make MANETs critical for applications such as disaster recovery, military operations, and IoT systems. …”
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Integration of Metro Tunnel Equipment Safety Early Warning System Based on Static-Dynamic Analysis by FAN Lele, YU Ze, HE Likun, YUAN Shijie, LAN Jie, YU Weizhi, LIU Jian

“…The system collects vibration data through distributed sensors, extracts vibration features, and adopts a centralized management model for real-time monitoring and intelligent early-warning of equipment vibration status. …”
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INVESTMENT ENVIRONMENT OF THE NETHERLANDS by Viktoriia М. Sbitenkova

“…Furthermore, the Netherlands is proactive in fostering a favorable business environment through various government initiatives. …”
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Cognitive intelligence routing protocol for disaster management and underwater communication system in underwater acoustic network by Kiran Saleem, Lei Wang, Ahmad Almogren, Ernest Ntizikira, Ateeq Ur Rehman, Salil Bharany, Seada Hussen

“…The proposed system integrates a Multi-Agent System (MAS), blockchain technology, and acoustic communication to enhance security, optimize energy usage, and improve data transmission efficiency. Key features include intelligent node mechanisms, proactive bandwidth and interference management, a multi-hop paradigm, distance-aware longevity strategies, and robust cryptographic protocols. …”
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