Retrieving 4D landslide displacement using Pléiades satellite stereo pairs on the La Valette landslide by Sheng Fu, Steven M. de Jong, Wiebe Nijland, Mathieu Gravey, Philip Kraaijenbrink, Tjalling de Haas

“…However, traditional field investigations are time- and labor-consuming, which may limit the understanding of the landslide evolution and thereby mitigation. We propose a new 4D landslide displacement framework, combining satellite-based structure-from-motion, cross-correlation feature tracking for horizontal ground-surface deformation measurements with COSI-Corr, and DEM differencing for vertical ground-surface deformation. …”
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Experiences of End-of-Life Decision-Making in Equine Veterinary and Charity Teams by Amelia Cameron, Megan Geldard, Tim Mair, Gary England, John Burford, Sarah Freeman, Kristian Pollock, Eleanor Wilson

“…Participants found aspects of their roles emotionally challenging. This could be mitigated by supportive relationships and communication with colleagues. …”
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A hybrid model for detecting motion artifacts in ballistocardiogram signals by Yuelong Jiang, Han Zhang, Qizheng Zeng

“…Employing a dual-channel approach, the model integrates multi-scale feature judgment with a BiGRU–FCN deep learning model. …”
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A Novel LSTM Architecture for Automatic Modulation Recognition: Comparative Analysis With Conventional Machine Learning and RNN-Based Approaches by Sam Ansari, Soliman Mahmoud, Sohaib Majzoub, Eqab Almajali, Anwar Jarndal, Talal Bonny

“…This paradigm eliminates the need for manual feature extraction, enhances interpretability, and significantly boosts classification efficiency. …”
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Pre-Symptomatic Detection of Nicosulfuron Phytotoxicity in Vegetable Soybeans via Hyperspectral Imaging and ResNet-18 by Yun Xiang, Tian Liang, Yuanpeng Bu, Shiqiang Cai, Jingjie Guo, Zhongjing Su, Jinxuan Hu, Chang Cai, Bin Wang, Zhijuan Feng, Guwen Zhang, Na Liu, Yaming Gong

“…Herbicide phytotoxicity represented a critical constraint on crop safety in soybean–corn intercropping systems, where early detection of herbicide stress is essential for implementing timely mitigation strategies to preserve yield potential. Current methodologies lack rapid, non-invasive approaches for early-stage prediction of herbicide-induced stress. …”
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Exploring the effect of climate change on food supply chains in Africa: a systematic review with a focus on South Africa by Merishca Naicker, Denver Naidoo, Rob Slotow, Mjabuliseni Simon C. Ngidi

“…Thereafter the coding feature was used to tag the duplicates. A manual verification was then conducted, as NVivo does not allow for the automatic deletion of duplicates. …”
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Cybersecurity Framework: Addressing Resiliency in Welsh SMEs for Digital Transformation and Industry 5.0 by Nisha Rawindaran, Ambikesh Jayal, Edmond Prakash

“…Advanced analytical techniques, including regression testing, Principal Component Analysis (PCA), and data visualization, were employed to uncover key insights and patterns. A distinctive feature of the ROHAN model is its integration of AI-powered tools for real-time risk assessment and decision-making, reflecting the principles of Industry 5.0. …”
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GBiL: A hybrid gated recurrent units (GRU) and bidirectional long short-term memory (BiLSTM) model with Particle Swarm Optimization for a Robust VANET IDS by G. Shobana, A. Thillai Nathan, Dhev Sabharish Sivakumar, R. Arockia Xavier Annie

“…The IDS employs a hybrid approach for efficient intrusion detection, leveraging particle swarm optimization (PSO) after feature selection. To ensure a balanced dataset, data augmentation is applied using SMOTETomek, a combination of Synthetic Minority Over-sampling Technique (SMOTE) and Tomek Links. …”
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Attacks and countermeasures on federated learning via historical knowledge modeling by Songsong Zhang, Zhengliang Jiang, Hang Gao, Suying Gui, Tiegang Gao

“…Despite defenses like statistical feature analysis and topology distance detection, HisMSA still degrades performance by 5%-20%. …”
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Mini-scale traffic flow optimization: an iterative QUBOs approach converting from hybrid solver to pure quantum processing unit by Hadi Salloum, Sanzhar Zhanalin, Amer Al Badr, Yaroslav Kholodov

“…By breaking the problem into smaller parts, we mitigate the challenges associated with embedding large-scale problems into the QPU, which often presents computational difficulties. …”
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Gonadal Dysfunction in Wolfram Syndrome: A Prospective Study by Gema Esteban-Bueno, Juan Luis Fernández-Martínez

“…<b>Conclusions:</b> Gonadal dysfunction is a significant yet overlooked feature of WFS, requiring systematic evaluation during puberty and beyond. …”
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Utilizing deep learning for intelligent monitoring and early warning of slope disasters in public space design by Wang Ting, Ying Wang

“…The model's adaptability to environmental changes represents a significant improvement in urban design and disaster mitigation strategies.…”
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Forecasting loan, deferred rate and customer segmentation in banking industry: A computational intelligence approach by Mahtab Vasheghani, Ebrahim Nazari Farokhi, Behrooz Dolatshah

“…This study proposes a novel hybrid model integrating Multi-Layer Perceptron (MLP) neural networks with Self-Adaptive Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) frameworks. GA handles feature selection, while PSO optimizes MLP hyperparameters (e.g., learning rate, neurons, activation functions). …”
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HIDS-RPL: A Hybrid Deep Learning-Based Intrusion Detection System for RPL in Internet of Medical Things Network by Abdelwahed Berguiga, Ahlem Harchay, Ayman Massaoudi

“…The suggested model, designated HIDS-RPL, results from the hybridization of the Convolutional Neural Network (CNN) for feature extraction and the Long Short Term Memory neural network (LSTM), typically employed for sequence data prediction. …”
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STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS by Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer

“…The spectral spatial feature mapper (SSFM), mixed parallel spatial attention (MPSA), and spatio-temporal attention mapper (STAM) modules of the STA-AgriNet extract key classification-defining, discriminative patterns for semantic segmentation. …”
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Federated Knowledge Distillation With 3D Transformer Adaptation for Weakly Labeled Multi-Organ Medical Image Segmentation by Tareq Mahmod AlZubi, Hamza Mukhtar

“…Fed3D-KDNet employs a dual knowledge distillation strategy to mitigate catastrophic forgetting and improve cross-client knowledge transfer, ensuring robust generalization across heterogeneous datasets. …”
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Artificial intelligence-driven real-world battery diagnostics by Jingyuan Zhao, Xudong Qu, Yuyan Wu, Michael Fowler, Andrew F. Burke

“…Emerging technologies such as explainable artificial intelligence (XAI), AI for IT operations (AIOps), lifelong machine learning to mitigate catastrophic forgetting, and cloud-based digital twins open new opportunities for intelligent battery life-cycle assessment. …”
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Few-shot relation extraction approach for threat intelligence based on multi-level attention mechanism and hybrid prototypical network by Yushun Xie, Junchi Bao, Rui Zong, Zhaoquan Gu, Haiyan Wang

“…To enhance the representational capacity of feature vectors, RETI-MA-HP incorporates a self-training module to refine the BERT-based encoder. …”
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Spatiotemporal associations between air pollution and emergency room visits for cardiovascular and cerebrovascular diseases in Korea using a multivariate graph autoencoder modeling... by Sohee Wang, Seungpil Jeong, Eunhee Ha

“…Pearson correlation coefficients were used to construct adjacency matrices, which, along with normalized feature matrices, were used as inputs to the GAE. …”
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Enhancing electric vehicle range through real-time failure prediction and optimization: Introduction to DHBA-FPM model with an artificial intelligence approach by Yunus Emre Ekici, Teoman Karadağ, Ozan Akdağ, Ahmet Arif Aydin, Hüseyin Ozan Tekin

“…The DHBA incorporates a Dynamic Fitness-Distance Balance (DFDB) mechanism and a novel spiral motion feature to enhance search precision, leading to the DHBA-FPM (Developed-Honey Badger Algorithm - Failure Prediction Model). …”
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