Beyond accuracy: Multimodal modeling of structured speaking skill indices in young adolescents by Candy Olivia Mawalim, Chee Wee Leong, Guy Sivan, Hung-Hsuan Huang, Shogo Okada

“…The experimental results demonstrate that fusing interpretable features, including prosody, action units, and turn-taking, significantly enhances the accuracy of spoken English skill prediction, achieving an overall accuracy of 83% when a machine learning model based on the light gradient boosting algorithm is used. Furthermore, this research underscores the significant influence of external factors, such as interviewer behavior and the interview setting, particularly on the coherence aspect of spoken English proficiency. …”
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…Whereas the CNNs extract spatial features from medical images, the LSTMs model the temporal patterns of wearable sensor data. Such a configuration increases the prediction accuracy by 10% more than that achieved by the individual models. …”
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Multimodal image fusion for ich detection and classification using parallel Dl models by Sri Sangepu Nagaraju, S. Prince Mary, V. Pavani Chandra, Nandam Gayatri

“…This paper introduces an innovative multimodal medical image fusion method using parallel Deep Learning (DL) models. The research uses a carefully chosen multimodal dataset, including CT and MRI, and a novel segmentation algorithm called DFA-UNet. …”
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An Explainable Machine Learning Model for Predicting Macroseismic Intensity for Emergency Management by Federico Mori, Giuseppe Naso

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Financial Technology and Financial Inclusion in Remote Areas of Algeria. Analytical Study Using Data Mining by Hassiba Hadouga

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AI and Human Resources in a Literature-Driven Investigation Into Emerging Trends by Cristina Iancu, Simona-Vasilica Oprea

“…The analysis brings out a steady growth in publication volume, with an average of 2,500 papers annually and a significant concentration of research within domains such as neural networks, algorithm optimization and digital transformation. …”
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Enhanced residual attention-based subject-specific network (ErAS-Net): facial expression-based pain classification with multiple attention mechanisms by Mahdi Morsali, Aboozar Ghaffari

“…Through transfer learning and multiple attention mechanisms, the proposed deep learning model is designed to mimic human perception of facial expressions, thereby enhancing its pain recognition ability and capturing the unique features of each individual’s facial expressions based on their specific patterns. The UNBC-McMaster Shoulder Pain dataset is used to demonstrate the effectiveness of the proposed deep learning algorithm, which achieves impressive values of 98.77% accuracy for binary classification and 94.21% for four-level pain intensity classification using tenfold cross-validation. …”
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An Improvement of the Load Transfer Method for Energy Piles Under Thermo-Mechanical Loads by Haofan Yang, Haowen Pan, Chenfeng Zong, Ziyi Wang, Gang Jiang

“…Due to its widespread adoption, research on energy pile analysis theory has advanced significantly. …”
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sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules by Yutong Xia, Dawei Qiu, Cheng Zhang, Jing Liu

“…This improves the model’s ability to extract and understand complex data patterns.ResultsThe experimental results demonstrated that the model achieved recognition accuracies of 98.24%, 93.52%, and 92.27% respectively on the Ninapro DB1, Ninapro DB2, and Ninapro DB4 datasets. …”
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Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

“…Machine learning (ML) enhanced SHM by analyzing sensor data to identify damage patterns often missed by human analysts. ML models captured complex relationships in data, leading to accurate predictions and early issue detection. …”
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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

“…Automated storage and retrieval systems (AS/RS) play a crucial role in modern logistics, yet effectively monitoring cargo stacking patterns remains challenging. While computer vision and deep learning offer promising solutions, existing methods struggle to balance detection accuracy, computational efficiency, and environmental adaptability. …”
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N-SOFT SETS ASSOCIATION RULE AND ITS APPLICATION FOR PROMOTION STRATEGY IN DISTANCE EDUCATION by Fatia Fatimah, Selly Anastassia Amellia Kharis, Fauzan Ihza Fajar

“…Based on the results, the NSSAR algorithm gave relationship patterns between the number of new students based on region, study program, diploma of origin, and information media. …”
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Validation of salivary uric acid remote self-monitoring for early prediction of hypertensive disorders of pregnancy: study protocol for a prospective, observational, multicentre co... by Isabel Reading, Amarnath Bhide, Ramesh Ganapathy, Baskaran Thilaganathan, Basia Chmielewska

“…We will validate a predictive algorithm that analyses colour data from several consecutive samples to detect patterns that predict whether HDP is likely to occur. …”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…A multilayer DNN serves as the classification algorithm to identify N6-methyladenine sites accurately. …”
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AGEN: Adaptive Error Control-Driven Cross-View Geo-Localization Under Extreme Weather Conditions by Mengmeng Xu, Hongxiang Lv, Hai Zhu, Enlai Dong, Fei Wu

“…Inspired by the strengths of the DINOv2 network, particularly its strong performance in global feature extraction, while acknowledging its limitations in capturing fine-grained details, we integrate the DINOv2 network with the Local Pattern Network (LPN) algorithm module to extract valuable classification features more efficiently. …”
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A novel smart surveillance approach to strengthen health facility-based disease surveillance in Tanzania by Ms Happy Mkali, MD Alix Miauton, Dr. Alexandra Kulinkina, Ms. Magreth Joram, MD Caroline Enos, Mr. Lazar Pavicevic, Mr. Vincent Faivre, Dr. MD Rainer Tan, Dr. Sabine Renggli, Ms. Theopista Lotto, Mr. Sinamgoda Ngailla, MD Godfrey Kavishe, Mr. Ibrahim Mtebene, Mr. Peter Agrea, MD Lameck Luwanda, Mr Geofrey Ashery, MD Chacha Mangu, Dr. MD Nyanda Ntinginya, Prof. Dr. Honorati Masanja, Prof. Dr. MD Isabella Eckerle, Prof. Dr. MD Valerie D'Acremont

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Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine... by Chenghui Cao, Chenghui Cao, Wenwu Liu, Xin Guo, Shuwei Weng, Yang Chen, Yonghong Luo, Shuai Wang, Botao Zhu, Botao Zhu, Yuxuan Liu, Yuxuan Liu, Daoquan Peng

“…Thus, we aimed to identify and validate efferocytosis linked signatures for detection of MASH.MethodsWe retrieved gene expression patterns of MASH from the GEO database and then focused on assessing the differential expression of efferocytosis-related genes (EFRGs) between MASH and control groups. …”
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Population status and impact of climate change on the distribution of vulnerable multipurpose plant Hippophae rhamnoides ssp. turkestanica for conservation in Trans-Himalaya, India by Shiv Paul, Shiv Paul, Khilendra Singh Kanwal, Anil Kumar, Sher Singh Samant, Sher Singh Samant, Indra Dutt Bhatt, Rakesh Chandra Sundriyal, Rakesh Chandra Sundriyal, Swaran Lata

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Convergence in key month of phenology-based mangrove species classification using sentinel-2 imagery data: insights from structural and physiological indices by Yangcan Bao, Xiaofeng Lin, Mingming Jia, Zhongyong Xiao, Cuiping Wang, Jiangfu Liao, Yinghui Zhang

“…The results of this study highlight the key phenological patterns and provide guidance for VI selection in future research.…”
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Mapping of Local Climate Zones and Heat Hazard Assessment from a Historical-Future Perspective by Jiayi Ren, Jun Yang, Wenbo Yu, Nan Cong, Xiangming Xiao, Jianhong Xia, Xueming Li

“…Local climate zone (LCZ) characterization reduces LULC uncertainty in climate research. This study designed a future multiscenario LCZ thermal environment assessment framework that integrates remote sensing images, a patch-level land use simulation model, and a contribution algorithm. …”
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