Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

“…Abstract The automatic detection and counting of wheat spike images are of great significance for yield prediction and variety evaluation. Therefore, accurate and timely estimation of spike numbers is crucial for wheat production. …”
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Prevalence of Nonalcoholic Steatohepatitis and Associated Fibrosis Stages Among US Adults Using Imaging-Based vs Biomarker-Based Noninvasive Tests by Jesse Fishman, Tom O'Connell, Christina M. Parrinello, Jonathan J. Woolley, Eric Bercaw, Michael R. Charlton

“…Use of biomarker-based noninvasive test values for prediction of NASH yielded a wider range of estimates with FIB-4, and a considerably lower range of estimates with APRI.…”
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Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

“…Key performance metrics-prediction accuracy, mean absolute error (MAE), precision, recall, F1-score, and confusion matrix—are employed to evaluate the performance. …”
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Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach. by Hamidreza Moradi, H Timothy Bunnell, Bradley S Price, Maryam Khodaverdi, Michael T Vest, James Z Porterfield, Alfred J Anzalone, Susan L Santangelo, Wesley Kimble, Jeremy Harper, William B Hillegass, Sally L Hodder, National COVID Cohort Collaborative (N3C) Consortium

“…Models leveraged the patients' characteristics, the severity of COVID-19 at diagnosis, and the calculated proportion of days on different treatment combinations after diagnosis as features to predict the outcome. Then, the most accurate model is utilized by eXplainable Artificial Intelligence (XAI) algorithms to provide insights about the learned treatment combination impacts on the model's final outcome prediction.…”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

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Advances and trends of modern and contemporary research on the geology of coal-measure minerals in China by Yong QIN

“…Additionally, it is necessary to pay attention to the accumulation mechanisms and resource prediction methods for helium in coal measures.…”
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Optimized Design of 3D Spatial Images Based on Kalman Filter Equation by Wei Shan

“…The algorithm takes the first row of the matrix image as the initial parameter of the Kalman filter prediction equation and then takes the first row of the recovered image as the initial parameter of the second Kalman filter prediction equation. …”
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Influence of Support Vector Regression (SVR) on Cryogenic Face Milling by Rao M. C. Karthik, Rashmi L. Malghan, Fuat Kara, Arunkumar Shettigar, Shrikantha S. Rao, Mervin A. Herbert

“…Hybrid-bias (BNN-SVR) is the best suitable prediction model as it provides significant evidence by attaining less error in predicting Ra. …”
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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

“…By incorporating cost-sensitive learning methods, the proposed model focus more on the critical data that determines device characteristics, leading to accurate prediction of key device characteristics under various parameters. …”
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Precision Imaging for Early Detection of Esophageal Cancer by Po-Chun Yang, Chien-Wei Huang, Riya Karmakar, Arvind Mukundan, Tsung-Hsien Chen, Chu-Kuang Chou, Kai-Yao Yang, Hsiang-Chen Wang

“…The experimental results revealed that the prediction performance of the training model was notably enhanced when using HSI compared to general NBI training. …”
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Hybrid Analysis of Biochar Production from Pyrolysis of Agriculture Waste Using Statistical and Artificial Intelligent-Based Modeling Techniques by Hani Hussain Sait, Ramesh Kanthasamy, Bamidele Victor Ayodele

“…This study used response surface methodology (RSM) and artificial neural networks (ANNs) to optimize and predict the production of biochar from the pyrolysis of palm kernel shells. …”
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The Role of the Monocyte-to-Lymphocyte Ratio in Acute Ischemic Stroke Patients with Acute Kidney Injury by Fen Jiang, Zhen Shi, Xiangyang Liu, Jiaxuan Xiang, Jie Lei, Bo Yang, XiangLi Lei, Xuewei Li

“…We also looked into the MLR’s function in predicting hospital mortality in AIS patients. Methods. …”
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An Efficient Malware Detection Approach Based on Machine Learning Feature Influence Techniques for Resource-Constrained Devices by Subir Panja, Subhash Mondal, Amitava Nag, Jyoti Prakash Singh, Manob Jyoti Saikia, Anup Kumar Barman

“…The ETC model prediction yields comparable results, confirming the viability of the suggested model. …”
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Association of Serum Adiponectin with Intima Media Thickness of Dorsalis Pedis Artery and Macroangiopathy in Type 2 Diabetes by Tao Chen, Mei Tu, Lihua Huang, Youping Zheng

“…In receiver operating characteristic analyses, the area under the curve for traditional risk factors plus adiponectin for prediction of macroangiopathy was 0.984, while that of traditional risk factors alone was 0.972. …”
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Association between 5-item modified frailty index and clinical outcomes in elderly rectal cancer patients after radical surgery by Hong Wu, Feiyu Shi, Chenhao Hu, Lei Zhang, Penghong Qu, Junjun She

“…The postoperative severe complications nomogram and CSS prediction nomogram AUC values were 0.726 and 0.844, respectively, both demonstrating promising predictive capabilities. …”
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Artificial intelligence-based approaches for multi-station modelling of dissolve oxygen in river by G. Elkiran, V. Nourani, S.I. Abba, J. Abdullahi

“…The simulated results of dissolved oxygen at three stations indicated that, multi-linear regression is found not to be efficient for predicting dissolved oxygen. In addition, both artificial intelligence models were found to be more capable and satisfactory for the prediction. …”
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TDCN: A novel temporal depthwise convolutional network for short-term load forecasting by Mingping Liu, Chenxu Xia, Yuxin Xia, Suhui Deng, Yuhao Wang

“…The results demonstrate that the proposed model outperforms existing approaches in terms of prediction accuracy, computational efficiency, and generalization.…”
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Enhancing microbial predator–prey detection with network and trait-based analyses by Cristina Martínez Rendón, Christina Braun, Maria Kappelsberger, Jens Boy, Angélica Casanova-Katny, Karin Glaser, Kenneth Dumack

“…The combination of network analyses and trait assignment increased confidence in the prediction of predator–prey interactions, as we show that 82% of all experimentally investigated correlations could be verified. …”
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Anomalous Circulation Patterns in Association with Summertime Regional Daily Precipitation Extremes over Northeast China by Chuanlei Chen, Zhaoyong Guan, Min Jiao, Pengyu Hu

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TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach by Mirza Akhi, Ciaran Eising, Lubna Luxmi Dhirani

“…The proposed TCN-based DDoS prediction and mitigation method achieves 99.98% and 95% accuracy on the MQTT dataset. …”
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