Integrated model for segmentation of glomeruli in kidney images by Gurjinder Kaur, Meenu Garg, Sheifali Gupta

“…The integration of FPN and ResNet101 into the FResMRCNN model improves glomeruli detection, segmentation accuracy and stability by representing multi-scale features. …”
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Modeling the Urban Low-Altitude Traffic Space Based on the Land Administration Domain Model—Case Studies in Shenzhen, China by Chengpeng Li, Zhigang Zhao, Yebin Chen, Wei Zhu, Jiahao Qiu, Siyao Jiang, Renzhong Guo

“…In 2020, the concept of “3D land administration” was introduced, marking the emergence of three-dimensional geospatial regulation in land management practices. Semantic models featuring the LADM (Land Administration Domain Model) as their core are updated iteratively to promote various applications related to 3D geographic regulation, but there is still a gap in the research on low-altitude utilization. …”
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Nomogram combining dual-energy computed tomography features and radiomics for differentiating parotid warthin tumor from pleomorphic adenoma: a retrospective study by Zhiwei Gong, Jianying Li, Yilin Han, Shiyu Chen, Lijun Wang

“…The best-performing radiomics model was combined with independent DECT predictors to construct a model and nomogram. …”
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A hybrid LSTM-transformer model for accurate by Tianren Zhao, Yanhui Zhang, Minghao Wang, Wei Feng, Shengxian Cao, Gong Wang

“…These complementary features are fused to enable joint modeling of battery health states. …”
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The Relation between CSR and Innovation. Model Approach by Dawid Szutowski, Piotr Ratajczak

“…The data was examined with the use of the meta-synthesis approach. The authors’ model explaining the studied relation was proposed. …”
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A Large-Scale Inter-Comparison and Evaluation of Spatial Feature Engineering Strategies for Forest Aboveground Biomass Estimation Using Landsat Satellite Imagery by John B. Kilbride, Robert E. Kennedy

“…We conclude that spatial feature engineering strategies can yield nominal gains in model performance. …”
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Artificial intelligence can extract important features for diagnosing axillary lymph node metastasis in early breast cancer using contrast-enhanced ultrasonography by Tomohiro Oshino, Ken Enda, Hirokazu Shimizu, Megumi Sato, Mutsumi Nishida, Fumi Kato, Yoshitaka Oda, Mitsuchika Hosoda, Kohsuke Kudo, Norimasa Iwasaki, Shinya Tanaka, Masato Takahashi

“…Our model has an excellent diagnostic performance, and the extracted imaging features could be crucial for confirming ALN metastasis in clinical settings.…”
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Incorporated flexible load forecasting based on non-intrusive load monitoring: a TCN-based meta learning approach by Yun Zhang, Quanyan Shu, Feng Ding, Feng Liu, Shuiming Jiang, Wenlong Wu

“…The enhanced performance of the proposed method is attributed to the integration of feature extraction and model adaptation within a meta-learning framework.Future research could explore the incorporation of contextual information to further enhance performance.…”
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An innovative in-body adjustable triple-band Notch UWB monopole antenna with improved bandwidth performance by Mousa Abdollahvand, Mohammadreza Khorshidi, Sima Sobhi-Givi, Saptarshi Ghosh

“…Abstract This study introduces a compact ultra-wideband (UWB) monopole antenna featuring adjustable multi-band rejection capabilities while considering the influence of a human body model on stop bands to optimize bandwidth performance. …”
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The Validation of The Vocabulary Level Test With The Rasch Model by Ahmed Sattar, Omar Ahmed

“…An input  revealed the model of Rasch may sort to establish various validity's features that are taken from Messick's perspective has been examined, also Rasch analysis is used as an instructive case to show the validity of a vocabulary level test. …”
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Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological features by Zujuan Shan, Xinzhang Zhang, Yiwen Zhang, Shuailong Wang, Junfeng Wang, Xin Shi, Lin Li, Zhenhui Li, Liuyang Yang, Hao Liu, Wenliang Li, Junfeng Yang, Liansheng Yang

“…Key clinico-radiological and radiomics features were selected to construct models: a clinico-radiological model, a radiomics model, and a combined nomogram model for predicting these two tumor types. …”
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Generative Local Interpretable Model-Agnostic Explanations by Mohammad Nagahisarchoghaei, Mirhossein Mousavi Karimi, Shahram Rahimi, Logan Cummins, Ghodsieh Ghanbari

“…The use of AI and machine learning models in the industry is rapidly increasing. Because of this growth and the noticeable performance of these models, more mission-critical decision-making intelligent systems have been developed. …”
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Performance evaluation of a cold storage system using pure conduction simulation with nanomaterial integration by M. Saif Aldien, Ali Basem, Hussein A.Z. AL-bonsrulah, Adel Almarashi, Moaz Al-lehaibi, Nasrin B.M. Elbashir

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Machine Learning in the Design and Performance Prediction of Organic Framework Membranes: Methodologies, Applications, and Industrial Prospects by Tong Wu, Jiawei Zhang, Qinghao Yan, Jingxiang Wang, Hao Yang

“…Methodologically, ML workflows—spanning data construction, feature engineering, and model optimization—accelerate candidate screening, inverse design, and mechanistic interpretation, as demonstrated in gas separations and nascent liquid-phase applications. …”
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Optimizing Feature Selection in Sentiment Analysis of Bank Saqu: A Comparative Study of SVM and Random Forest using Information Gain and Chi-Square by Anelta Tirta Putri Subandono, Dhani Ariatmanto

“…Irrelevant features can degrade model performance, increase computational complexity, and lead to overfitting. …”
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Mechanical performance prediction of basalt fiber reinforced concrete based on random forest and hyperparameter optimization by Dalian Bai, Junwen Chen, Jialiang Wang, Cunpeng Liu

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Multi-Feature Long Short-Term Memory Facial Recognition for Real-Time Automated Drowsiness Observation of Automobile Drivers with Raspberry Pi 4 by Michael Julius R. Moredo, James Dion S. Celino, Joseph Bryan G. Ibarra

“…Through algorithm optimization, dataset expansion, and the integration of additional features and feedback mechanisms, the model can be improved in terms of performance and reliability.…”
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Sustainable building: Achieving thermal comfort in hot and humid climate using building performance simulation by Niniek Pratiwi, Abdi Gunawan Djafar, Rahmayanti Rahmayanti, Nur Mutmainnah, Arlan Kaharu

“…Among the simulation configurations, Model 3 which featured a metal roof with a cool roof technology, concrete walls, and added ventilation demonstrated the best thermal performance. …”
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Ground Segmentation Algorithm for Sloped Terrain and Sparse LiDAR Point Cloud by Victor Jimenez, Jorge Godoy, Antonio Artunedo, Jorge Villagra

“…Typical approaches rely on plane fitting or local geometric features, but their performance is reduced in situations with sloped terrain or sparse data. …”
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Day-Ahead Electricity Price Prediction and Error Correction Method Based on Feature Construction–Singular Spectrum Analysis–Long Short-Term Memory by Yuzhe Jiang, Weiqing Sun

“…A model combining feature construction (FC), singular spectrum analysis (SSA), and LSTM is used for electricity price prediction. …”
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