SARB-DF: A Continual Learning Aided Framework for Deepfake Video Detection Using Self-Attention Residual Block by P.G Prathibha, P. S. Tamizharasan, Alavikunhu Panthakkan, Wathiq Mansoor, Hussain Al Ahmad

“…We enable the deepfake detection process with continual learning to improve detection capability and improve generalization. The framework uses weight regularization and a dynamic sample set to continuously learn and adapt to new synthetic data. …”
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A Dual-Branch Deep Learning Framework Combining Xception and ResNet for Accurate Lung and Colon Cancer Detection by Chandrasekar Venkatachalam, Priyanka Shah

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Advancing Self-Supervised Learning for Building Change Detection and Damage Assessment: Unified Denoising Autoencoder and Contrastive Learning Framework by Songxi Yang, Bo Peng, Tang Sui, Meiliu Wu, Qunying Huang

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Intelligent Framework for Regional Tourism Ecological Efficiency Evaluation under High-Quality Development with Single-Valued Neutrosophic Information by Xiaoying Liu

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mmHSE: A Two-Stage Framework for Human Skeleton Estimation Using mmWave FMCW Radar Signals by Jiake Tian, Yi Zou, Jiale Lai

“…We present mmHSE, a two-stage framework for human skeleton estimation using dual millimeter-Wave (mmWave) Frequency-Modulated Continuous-Wave (FMCW) radar signals. …”
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DeepRNAac4C: a hybrid deep learning framework for RNA N4-acetylcytidine site prediction by Guohua Huang, Guohua Huang, Runjuan Xiao, Runjuan Xiao, Chunying Peng, Jinyun Jiang, Weihong Chen

“…While existing methods have made progress in ac4C site prediction, they still struggle with limited accuracy and generalization. To address these challenges, we propose DeepRNAac4C, a deep learning framework for RNA ac4C sites prediction. …”
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A Novel Computational Framework for Time-Fractional Higher-Order KdV Models: CLADM-Based Solutions and Comparative Analysis by Priti V. Tandel, Anant Patel, Trushitkumar Patel

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A strategic decision-making framework for evaluating barriers to green supply chain management using fractional fuzzy similarity measures by Salma Khan, Muhammad I. Syam, Hamza Ali Abujabal, Muhammad Rahim, Alhanouf Alburaikan, Hamiden Abd El-Wahed Khalifa

“…While there has been notable progress in developing similarity measures for various types of generalized fuzzy sets, including fractional fuzzy sets, there is still a lack of well-developed measures suited to the structure of $$\:p,q,r-$$ fractional fuzzy sets. …”
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Federated learning-based CT liver tumor detection using a teacher‒student SANet with semisupervised learning by Cheng-Shun Lee, Jenn-Jier James Lien, Kai Chain, Li-Chun Huang, Zhong-Wei Hsu

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THE RESTITUTION OF INDIVIDUAL AND COMMUNAL PROPERTIES IN LATVIA AFTER 1990 by Bianca Elena RADU

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Exploring the Acceptability of Traditional Medicine Clinic Implementation in Indonesian Public Health Centers by Sri Mumpuni Yuniarsih, Retna Siwi Padmawati, Ema Madyaningrum, Yodi Mahendradhata

“…Conclusion: Traditional medicine clinics in PHCs are generally well accepted, but their sustainability depends on addressing resource constraints and enhancing staff training. …”
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Identification of a novel ferroptosis-induced immunogenic cell death related signature based on a machine learning framework in colorectal cancer by Feng Zhu, Xin Liu, Huiyuan Li, Jianfeng Li, Hongzhang Liu, Yusheng Wang

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The Wicked Nature of AGI by Yeliz Figen Doker

“…Artificial general intelligence (AGI) represents an unprecedented ambition within the field of technology, aiming to create systems capable of matching or surpassing human abilities across multiple domains. …”
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Application of a dynamo-based intelligent drawing review program in the general code for building fire protection - Case study of subsection 7.4.7 by Yong Xu, Min Liu, Taiyang Zhang, Hongyuan Tang, Yingda Zhang

“…The case study demonstrates the practicality and scalability of the system in checking critical fire protection regulations. The proposed framework supports efficient design validation, reduces labor demands, and contributes to enhanced building safety. …”
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A distributed hybrid physics–AI framework for learning corrections of internal hydrological fluxes and enhancing high-resolution regionalized flood modeling by N. N. T. Huynh, P.-A. Garambois, B. Renard, F. Colleoni, J. Monnier, H. Roux

“…This research proposes a general spatially distributed hybrid modeling framework that seamlessly combines differentiable process-based models with neural networks. …”
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Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting by Shuai Jin, Qiang Li, Sanqiu Liu, Olebogeng Kevin Joel, Xiaohu Ge

“…Compared with the benchmark methods, extensive experimental results shown that better prediction accuracy and generalization are achieved by the proposed Federated-Transformer-KAN. …”
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CR-CLCD: A cross-regional cropland change detection framework with multi-view domain adaptation for high-resolution satellite imagery by Zhendong Sun, Xinyu Wang, Yanfei Zhong

“…To address these issues, a Cross-Region Cropland Change Detection (CR-CLCD) framework with Multi-View Domain Adaptation (MVDA) is proposed. …”
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CPEL: A Causality-Aware, Parameter-Efficient Learning Framework for Adaptation of Large Language Models with Case Studies in Geriatric Care and Beyond by Jinzhong Xu, Junyi Gao, Xiaoming Liu, Guan Yang, Jie Liu, Yang Long, Ziyue Huang, Kai Yang

“…In summary, CPEL demonstrates robust generalization and cross-domain adaptability, highlighting its scalability and effectiveness as a transformative solution for domain adaptation in specialized, resource-constrained fields.…”
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Modern models of teaching regional history at school by L. A. Urusmambetova

“…When writing the article, the modeling method was used to build models for the implementation of regional history in general education, and the deductive method was used to build options for the implementation of regional history within the framework of updated regulatory documentation. …”
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Supplementing the Build Activity in Design Science Research with Soft Systems Methodology: A Technique of Creating Frameworks for Guiding Interventions Against Unstructured Problem... by Agnes Nakakawa, Fiona P. M. Tulinayo, Geoffrey O. Tabo, Patrick van Bommel, Hans B. F. Mulder, Henderik A. Proper

“…In addition, there is no an elaborate procedure or logical thinking pattern that can be followed when building a DSR artifact, particularly a framework for solving an unstructured problem. Consequently, structural compositions of some artifacts insufficiently subscribe to several general design guidelines, which often hinders the artifacts from fulfilling their intended purposes. …”
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