Estimating Maize Leaf Water Content Using Machine Learning with Diverse Multispectral Image Features by Yuchen Wang, Jianliang Wang, Jiayue Li, Jiacheng Wang, Hanzeyu Xu, Tao Liu, Juan Wang

“…The results indicate that the RFR model performs optimally during the seedling stage, with a root relative mean square error (RRMSE) of 2.99%, whereas estimation errors are larger during the tasseling stage, with an RRMSE of 4.13%. …”
Get full text

Escalate Prognosis of Parkinson’s Disease Employing Wavelet Features and Artificial Intelligence from Vowel Phonation by Rumana Islam, Mohammed Tarique

“…These wavelet features can enhance the classification performance of machine learning models. …”
Get full text

Boosting Degradation Representation Learning for Blind Image Super-Resolution by YUAN Jiang, MA Ji, ZHOU Dengwen

Get full text

A Systematic Literature Review: Classifying IoT Botnet Data Features Based on Its Lifecycle by Shihao Liu, Fariza Fauzi, Ven Jyn Kok

“…Additionally, an IoT botnet malicious activity map is presented to address the challenges faced by current detection models. This study also highlights key limitations and future research directions, offering valuable insights to improve the performance of IoT botnet detection systems.…”
Get full text

WSCDNet: A Window Structural Similarity Guided Deep Feature Recalibration Method for Remote Sensing Image Change Detection by Siming Fu, Sijun Dong, Xiaoliang Meng

“…This enables the model to better capture temporal information during feature extraction. …”
Get full text

Enhanced CO₂ Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally

“…However, challenges such as high-dimensional feature spaces, feature redundancy, and hyperparameter sensitivity limit the efficiency of machine learning (ML) models in CO₂ emissions forecasting. …”
Get full text

New prognostic features and personalized treatment strategies of mitochondrial related genes in colorectal cancer patients by Qizheng Xu, Zhiwen Wang, Shan-Tao Huang, Jia-Yu Shi, Yan Zhu, Han-Qing Pang

“…Cellular assays were performed to validate the effectiveness of identified drugs. …”
Get full text

Prognostic feature based on androgen-responsive genes in bladder cancer and screening for potential targeted drugs by Jiang Zhao, Qian Zhang, Cunle Zhu, Wu Yuqi, Guohui Zhang, Qianliang Wang, Xingyou Dong, Benyi Li, Xiangwei Wang

Get full text

Chronic liver disease detection using ranking and projection-based feature optimization with deep learning by Sumaiya Noor, Salman A. AlQahtani, Salman Khan

“…Additionally, Shapley Additive exPlanations (SHAP) are applied to perform global interpretation analysis, helping to select optimal features by assessing their contributions to the overall model. …”
Get full text

A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization by Mohammad Amin, Khalid M. O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook, Ahmad Nasayreh, Nesrine Atitallah, Ali Gharaibeh, Raneem Hamad, Raed Abu Zitar, Aseel Smerat, Laith Abualigah

“…Compared with existing state‐of‐the‐art models, our proposed system demonstrates superior performance. …”
Get full text

A Style Transfer Method for Chinese Landscape Painting Based on Detail Feature Extraction and Fusion by Jinghao HU, Guohua GENG, Meijun XIONG, Siyi LI, Yuhe ZHANG

“…This approach introduces the Swin–Transformer within the StyTr² network framework and uses the visual transformer to preserve the features of landscapes. In addition, the layered architecture of the Swin–Transformer and the sliding window attention mechanism are utilized to extract finer details of the artistic features of landscape paintings while reducing the model’s training complexity. …”
Get full text

Marine object detection in forward-looking sonar images via semantic-spatial feature enhancement by Zhen Wang, Zhen Wang, Jianxin Guo, Shanwen Zhang, Nan Xu

“…To overcome these challenges, we propose a novel semantic-spatial feature enhanced detection model, namely YOLO-SONAR, tailored for marine object detection in forwardlooking sonar imagery. …”
Get full text

Long COVID in Elderly COPD Patients: Clinical Features, Pulmonary Function Decline, and Proteomic Insights by Li S, Zhao H, Zhang M, Yuan T, Chai D, Shen Z, Qin C, Li Y, Pan M

“…Proteomic analysis indicated disruptions in inflammation and energy metabolism, potentially underlying long COVID in these patients. The machine learning model identified wheezing, the duration of SARS-CoV-2 infection, EIF2S3 (eukaryotic translation initiation factor 2 subunit gamma), current FEV1/FVC (%), and the course of COPD as key features distinguishing Long-COVID patients, and exhibited excellent performance.Conclusion: Elderly COPD patients with a longer COPD course and duration of COVID-19 are more prone to develop long COVID, with decreased pulmonary ventilation and diffusion ability. …”
Get full text

Deep feature batch correction using ComBat for machine learning applications in computational pathology by Pierre Murchan, Pilib Ó Broin, Anne-Marie Baird, Orla Sheils, Stephen P Finn

“…Conclusion: ComBat harmonization of deep learning-derived histology features effectively reduces the risk of AI models learning confounding features in WSIs, ensuring more reliable performance estimates. …”
Get full text

GFDet: Multi-Level Feature Fusion Network for Caries Detection Using Dental Endoscope Images by Nan Gao, Yukai Li, Peng Chen, Jijun Tang, Tianshuang Liu

“…For experiments on the collected dataset, the F1-score of our model is 75.6%, which out-performances the state-of-the-art models by 7.1%.…”
Get full text

Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties by Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, Abdul Halim Abdul Latif, Ida Bagus Suananda Yogi, Said Jadid A. Kadir

“…In contrast, XGBoost model performed better (R2 = 0.87, RMSLE = 0.195) using only elastic properties as features. …”
Get full text

Detection of Architectural Dysplastic Features from Histopathological Imagery of Oral Mucosa Using Neural Networks by Watchanan Chantapakul, Sirikanlaya Vetchaporn, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Ritipong Wongkhuenkaew, Uklid Yeesarapat, Nutchapon Chamusri, Mansuang Wongsapai

“…A signature library containing image patches was constructed and utilized to train the models. The best-performing model in the validation set attained an average accuracy of 97.52%. …”
Get full text

Association of CSF neurogenin-1 levels with cognitive decline and structural MRI features in older adults by Suling Chen, Xinwu Ye, Qing Wang

“…To examine the association of CSF neurogenin-1 levels with changes in cognitive performance and neurodegeneration over time, we performed a series of linear mixed-effects models. …”
Get full text

Optimizing Feature Selection and Machine Learning Algorithms for Early Detection of Prediabetes Risk: Comparative Study by Mahmoud B Almadhoun, MA Burhanuddin

Get full text

MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion by Mustaqeem Khan, Phuong-Nam Tran, Nhat Truong Pham, Abdulmotaleb El Saddik, Alice Othmani

“…This CMT can effectively analyze local and global speech features and their corresponding text. To boost efficiency, MemoCMT leverages recent advancements in pre-trained models: HuBERT extracts meaningful features from the audio, while BERT analyzes the text. …”
Get full text