SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…This module first locates the spatial neighbors of the labeledit can adapt to different data distributions and feature samples and then sets an adaptive threshold based on the spectral features of labeled samples to filter spatial neighbors, so as to obtain the spatial-spectral neighbors as pseudo-labeled samples. …”
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A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine by Yuqing Fan, Debao Yuan, Liuya Zhang, Maochen Zhao, Renxu Yang

“…The proposed LR method initially generated rice distribution maps based on phenology, and 300 sample points were selected for meta-identification of rice images via an enhanced pixel-based phenological feature composite method (Eppf-CM) utilizing high-resolution imagery. …”
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Macular form of post-kala-azar dermal leishmaniasis: Clinical features, diagnosis, and significance in the Kala-Azar Elimination Programme by V. Ramesh, Nilay Kanti Das

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Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data by Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong, Kumaran Kadirgama, Foo Benedict, Tan Jian Ding, Kharudin Ali, Azher M. Abed

“…On the server side, adaptive thresholding based on uncertainty symmetry is utilized to identify the optimal client for training the global mode. …”
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DeepSeek-AI-enhanced virtual reality training for mass casualty management: Leveraging machine learning for personalized instructional optimization. by Zhe Li, Lei Shi, Mingyu Pei, Wan Chen, Yutao Tang, Guozheng Qiu, Xibin Xu, Liwen Lyu

“…Future research should explore hybrid training models and incorporate physiological data to further enhance the efficacy of VR-based training systems.…”
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Problems of FSES 3+ implementation at different stages of professional training of future tourism industry workers in the context of competence approach in education by Elena Alexandrovna Yeremina, Tatyana Nicolaevna Poddubnaya, Vladimir Gavrilovich Minchenko

“…This circumstance has formulated the research problem: what are the problems of FSES 3+ implementation at different levels of professional training of future workers in tourism industry in the context of a competence-based approach in education? …”
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Gender and age-related features in office and home blood pressure control in patients with uncomplicated hypertension in real clinical practice. by K. M. Amosova, Iu. V. Rudenko

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Gender and age-related features in office and home blood pressure control in patients with uncomplicated hypertension in real clinical practice by Amosova K.M., Rudenko Iu.V.

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Dual-Alignment CLIP: Task-Specific Alignment of Text and Visual Features for Few-Shot Remote Sensing Scene Classification by Dongmei Deng, Ping Yao

“…However, existing CLIP-based methods still have two essential issues: 1) bias in text features; 2) unreliable similarity in image features. …”
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A Generalized Convolutional Neural Network Model Trained on Simulated Data for Fault Diagnosis in a Wide Range of Bearing Designs by Amirmasoud Kiakojouri, Ling Wang

“…The findings demonstrate the effectiveness of the developed CNN-based model for bearing fault classification, tackling training data scarcity and generalizability challenges while contributing to the development of intelligent fault diagnosis models for several industrial applications.…”
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Smartphone-derived multidomain features including voice, finger-tapping movement and gait aid early identification of Parkinson’s disease by Wee-Shin Lim, Sung-Pin Fan, Shu-I Chiu, Meng-Ciao Wu, Pu-He Wang, Kun-Pei Lin, Yung-Ming Chen, Pei-Ling Peng, Jyh-Shing Roger Jang, Chin-Hsien Lin

“…We investigated whether smartphone-derived multimodal features combined with machine learning algorithms can aid in early PD identification. …”
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Clinical and imaging features of parenchymal and non-parenchymal neuro-Behçet’s disease: a systematic review of case reports and series by Omar Al-omoush, Majd M. AlBarakat, Deya’a Alasmar, Ali Al-Khalaileh, Ahmad Alzoubi, Husam Tarakhan, Zaid Shakhatreh, Zaid Hatamleh, Mohammed Abu-saleh, Othman Saleh, Abdalrahman Altiti, Wafa’ A. Hazaymeh, Sakhr Alshwayyat, Hamdah Hanifa, Ethar Hazaimeh

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Correlation of Imaging Characteristics of Carotid Plaque with Clinical and Histopathological Features and Application of Artificial Intelligence Techniques in Identifying Carotid D... by G. Satyendra Ramnadh, Pritee Sharma, Vamsi Krishna Yerramsetty, Y. V. Satish Kumar, Rahul Agarwal, Prem Chand Gupta

“…AI showed 96% PPV for identifying >50% stenosis. Model training in identifying VP accuracy increased from 0.73 to 0.94 metrics. …”
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Burned Area Detection in the Eastern Canadian Boreal Forest Using a Multi-Layer Perceptron and MODIS-Derived Features by Hadi Mahmoudi Meimand, Jiaxin Chen, Daniel Kneeshaw, Mohammadreza Bakhtyari, Changhui Peng

“…This study develops, compares, and optimizes machine learning (ML)-based models for burned area classification in the eastern Canadian boreal forest from 2000 to 2023 using MODIS-derived features extracted from Google Earth Engine (GEE), and the feature extraction includes maximum, minimum, mean, and median values per feature to enhance spectral representation and reduce noise. …”
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Effect of 12 Weeks of Combined Training on the Serum Levels of Nesfatin-1 and Some Liver Enzymes in Men with Non-Alcoholic Fatty Liver Disease by Hadi Goudarzi, Ali Heidarianpour, Maryam Keshvari

“…The exercise program included 12 weeks of combined training, featuring two sessions per week of resistance training and one session of HIIT. …”
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A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features by Xing‐bo Cai, Ze‐hui Lu, Zhi Peng, Yong‐qing Xu, Jun‐shen Huang, Hao‐tian Luo, Yu Zhao, Zhong‐qi Lou, Zi‐qi Shen, Zhang‐cong Chen, Xiong‐gang Yang, Ying Wu, Sheng Lu

“…The intelligent classifier (SSM + NN) was trained using SSM features as input data and different fracture types as output data. …”
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A hybrid approach for binary and multi-class classification of voice disorders using a pre-trained model and ensemble classifiers by Mehtab Ur Rahman, Cem Direkoglu

“…Our hybrid approach, combines deep learning features with various powerful classifiers. In the first stage, high-level feature embeddings are extracted from voice data spectrograms using a pre-trained VGGish model. …”
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Gender-responsive governance and conflict management practices in selected maritime higher education institutions in the Philippines: basis for the development of the training plan by Niño Elson O. Salabas, Sylvino V. Tupas

“…The analysis considers the key variables, including age, gender, length of service, and educational attainment. Based on the findings, a Gender-Responsive Governance and Conflict Management Practices Enhancement Training Program will be designed to address identified gaps and challenges effectively.…”
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Evaluating the role of training data origin for country-scale cropland mapping in data-scarce regions: A case study of Nigeria by Joaquin Gajardo, Michele Volpi, Daniel Onwude, Thijs Defraeye

“…These results underscore the value of regionally focused training data, proper class imbalance handling, and multi-modal feature integration for improving cropland mapping in data-scarce regions. …”
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Vehicle Motion State Prediction Method Integrating Point Cloud Time Series Multiview Features and Multitarget Interactive Information by Ruibin Zhang, Yingshi Guo, Yunze Long, Yang Zhou, Chunyan Jiang

“…A temporal feature vector is constructed as the input data of the bidirectional long-term and short-term memory (BiLSTM) network, and the desired input-output mapping relationship is trained to predict the motion state of traffic participants. …”
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