Two Decades of Coastal Development across the Arabian Gulf: Insights from Remote Sensing and Machine Learning by B. Dahy, R. Sousa, M. Sultan, J. A. Burt

“…These findings emphasize the complex interactions between urbanization and environmental processes, underscoring the need for sustainable planning strategies. Future research will focus on detailed analyses of vegetation, urbanization trends, and long-term inundation patterns to better support climate adaptation and regional resilience planning in the Arabian Gulf.…”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…This method provides an advanced risk management tool for power companies, helping to increase the operational efficiency of smart grids and encouraging further research toward greater intelligence in the field.…”
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Understanding acceptance and resistance toward generative AI technologies: a multi-theoretical framework integrating functional, risk, and sociolegal factors by Priyanka Shrivastava

“…Additionally, the manuscript now highlights demographic diversity, including variations in age, gender, and academic discipline, as relevant to AI adoption patterns. Ethical concerns, including algorithmic bias, data ownership, and the labor market impact of AI, are addressed to offer a more holistic understanding of resistance behavior. …”
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An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications by Yasir Rafique, Jue Wu, Abdul Wahab Muzaffar, Bilal Rafique

“…It is quickly becoming an integral part of operations, as it yields successful and convenient results. This research provides an enhanced integrated fuzzy logic-based deep learning technique (EIFL-DL) for recent industrial challenges. …”
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Evaluation of future land use change impacts on soil erosion for holota watershed, Ethiopia by Abebe Chala Guder, Worku Firomsa Kabeta

“…The novelty of this research lies in its integration of cutting-edge remote sensing technologies, such as GEE and the CA-Markov model, to predict the combined impact of LULC changes on soil erosion in a data-scarce region, providing actionable insights for conservation planning in Ethiopian highlands. …”
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Penerapan Feature Engineering dan Hyperparameter Tuning untuk Meningkatkan Akurasi Model Random Forest pada Klasifikasi Risiko Kredit by Nadea Putri Nur Fauzi, Siti Khomsah, Aditya Dwi Putra Wicaksono

“…This research aims to improve the accuracy of the Random Forest algorithm classification model by implementing parameter tuning and feature engineering. …”
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Releasing the octoPus, an open-source digital tool to promote Integrated Pest Management by Simone Bregaglio, Eugenio Rossi, Lorenzo Ascari, Gabriele Mongiano, Eleonora Del Cavallo, Sofia Bajocco, Luisa Maria Manici, Antonio Gerardo Pepe, Chiara Bassi, Rocchina Tiso, Fabio Pietrangeli, Giovanna Cattaneo, Camilla Nigro, Marco Secondo Gerardi, Simone Bussotti, Angela Sanchioni, Danilo Tognetti, Mariangela Sandra, Irene De Lillo, Paolo Framarin, Sandra Di Ferdinando, Riccardo Bugiani

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SmoothDectector: A Smoothed Dirichlet Multimodal Approach for Combating Fake News on Social Media by Akinlolu Oluwabusayo Ojo, Fatma Najar, Nuha Zamzami, Hanen T. Himdi, Nizar Bouguila

“…This reliance limits the ability of researchers to explore different modeling assumptions freely. …”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…Additionally, the customized ABC algorithm specifically optimizes hyperparameters to increase the adaptability and performance of the model under varying market conditions. …”
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Exploiting compressed sensing and polynomial-based progressive secret image sharing for visually secure image selection encryption with authentication by Zhihua Gan, Shiping Song, Lin Zhou, Daojun Han, Jiangyu Fu, Xiuli Chai

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An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

“…To address these challenges, this study proposes a novel deep reinforcement learning (DRL)-based framework, integrating a convolutional neural network (CNN) for hierarchical feature extraction and a recurrent neural network (RNN) for sequential pattern recognition and time-series modeling. To enhance model performance, we introduce a novel non-dominated sorting artificial bee colony (NSABC) algorithm, which fine-tunes the hyper-parameters of the CNN-RNN structure, including weights, biases, the number of layers, and neuron configurations. …”
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Perceiving Fifth Facade Colors in China’s Coastal Cities from a Remote Sensing Perspective: A New Understanding of Urban Image by Yue Liu, Richen Ye, Wenlong Jing, Xiaoling Yin, Jia Sun, Qiquan Yang, Zhiwei Hou, Hongda Hu, Sijing Shu, Ji Yang

“…This study targeted 56 Chinese coastal cities, decoding the spatiotemporal patterns of their fifth facade color (FFC). Through developing an innovative natural color optimization algorithm, the oversaturation and color bias of Sentinel-2 imageries were addressed. …”
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Chest CT-based analysis of radiomic and volumetric differences in epicardial adipose tissue in HFrEF patients with and without AF by Xiu-ying Song, Yu-lan Ma, Jia-min Han, Qian Xie, Hong-xia Zhang, Yu-hua Ma, Jian-feng Hu, Ai-rong Yang

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Deciphering Socio-Spatial Integration Governance of Community Regeneration: A Multi-Dimensional Evaluation Using GBDT and MGWR to Address Non-Linear Dynamics and Spatial Heterogene... by Hong Ni, Jiana Liu, Haoran Li, Jinliu Chen, Pengcheng Li, Nan Li

“…By merging community-expressed sentiment mapping with morphometric urban analysis, this interdisciplinary research pioneers a protocol for socio-spatial integrated urban transitions—one where algorithmic urbanism meets human-scale needs, not technological determinism. …”
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An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

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Objectively measured environmental factors in relation to school travel mode among adolescents: a decision tree analysis by Lena Malnes, Tommy Haugen, Emma Charlott Andersson Nordbø, Andreas Ivarsson, Elin Kolle, Geir Kåre Resaland, Runar Barstad Solberg, Andreas Åvitsland, Sveinung Berntsen

“…A decision tree analysis was conducted utilizing the chi-squared automatic interaction detection algorithm to discern patterns in the data. The present study has a cross-sectional design. …”
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AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review by Nusrat Jahan Sarna, Farzana Ahmed Rithen, Umme Salma Jui, Sayma Belal, Al Amin, Tasnim Kabir Oishee, A. K. M. Muzahidul Islam

“…By analyzing vast datasets, AI can uncover hidden fraud patterns and dynamically adapt to emerging threats. …”
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An analysis of spatial changes in the manufacturing industry in china’s three major urban clusters from 2015 to 2019 using POI data by Chenxi Jin, Chenjing Fan, Yiwen Gong, Xinran Huang, Shiqi Li, Runhan Liu, Chunwei Guo, Yuxin Liu

“…Here, we analyzed spatial patterns of the manufacturing industry using point-of-interest (POI) data and a machine learning classification algorithm based on the Naive Bayes classifier. …”
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Prevalence of EGFR Mutations in Vietnamese Patients with Resected Early Stage Non-Small Cell Lung Cancer: EARLY-EGFR Study by Dao TV, Dinh VL, Doan TV, Phuong TL

“…Tu Van Dao,1,2,* Van Luong Dinh,3,4,* Thanh Vinh Doan,5 Tri Le Phuong6 1Cancer Research and Clinical Trials Center, Department of Optimal Therapy, Vietnam National Cancer Hospital, Hanoi, Vietnam; 2Oncology Department, Hanoi Medical University, Hanoi, Vietnam; 3Lung Transplant Center, National Lung Hospital, Hanoi, Vietnam; 4TB and Lung Diseases Department, Hanoi Medical University, Hanoi, Vietnam; 5Oncology Department, Pham Ngoc Thach Hospital, Ho Chi Minh City, Vietnam; 6Medical Affairs, AstraZeneca Vietnam, Ho Chi Minh City, Vietnam*These authors contributed equally to this workCorrespondence: Tu Van Dao, Cancer Research and Clinical Trials Center, Department of Optimal Therapy, Vietnam National Cancer Hospital, Hanoi, Vietnam, Email daovantu@hmu.edu.vnIntroduction: Comprehensive profiling of mutations in the EGFR gene is vital for selecting patients eligible for EGFR targeted therapies.Methods: We investigated the prevalence of EGFR mutations and treatment patterns in patients with early stage non-small cell lung cancer (NSCLC) in Vietnam as a part of EARLY-EGFR (Clinical Trial Identifier: NCT04742192), a global, real-world study. …”
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A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification by Goluguri N.V. Rajareddy, Kaushik Mishra, Satish Kumar Satti, Gurpreet Singh Chhabra, Kshira Sagar Sahoo, Amir H. Gandomi

“…This model is further refined by including Quaternion convolution layers, which enhance colour information processing, and Atrous convolution layers, which improve depth perception, particularly in extracting disease patterns. To boost the model's predictive accuracy, the Chaotic Honey Badger Algorithm (CHBA) is employed to optimize the CNN hyperparameters, resulting in an impressive average accuracy of 93.5 %. …”
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