Unleashing the power of intelligence: revolutionizing malaria outbreak preparedness with an advanced warning system in Benin, West Africa by Gouvidé Jean Gbaguidi, Nikita Topanou, Walter Leal Filho, Komi Agboka, Guillaume K. Ketoh

“…SVM regression algorithm forecasts 80% prediction rate for malaria incidence. …”
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Advancements in the application of artificial intelligence in the field of colorectal cancer by Mengying Zhu, Mengying Zhu, Zhenzhu Zhai, Yue Wang, Fang Chen, Ruibin Liu, Ruibin Liu, Xiaoquan Yang, Guohua Zhao

“…This poses a significant threat to global public health. Early screening methods, such as fecal occult blood tests, colonoscopies, and imaging techniques, are crucial for detecting early lesions and enabling timely intervention before cancer becomes invasive. …”
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Evolution of wind field in the atmospheric boundary layer using multiple-source observations during the passage of Super Typhoon Doksuri (2305) by X. Wang, X. Wang, J. Xu, J. Xu, S. Wu, S. Wu, S. Wu, Q. Wang, G. Dai, G. Dai, P. Zhu, Z. Su, S. Chen, X. Shi, M. Fan

“…The data fusion method is developed to obtain the complete wind speed profiles covering the whole atmospheric boundary layer (ABL) based on the above instruments. …”
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Prediction on rock strength by mineral composition from machine learning of ECS logs by Dongwen Li, Xinlong Li, Li Liu, Wenhao He, Yongxin Li, Shuowen Li, Huaizhong Shi, Gaojian Fan

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Isolation and characterization of a novel coltivirus from Haemaphysalis concinna ticks in Northeastern China by Yu-Hong Yang, Ji-Xu Li, Rui-Chen Wang, Qi-Kai Yin, Shi-Hong Fu, Kai Nie, Qian-Qian Cui, Song-Tao Xu, Qiang Wei, Fan Li, Xing-Zhou Li, Huan-Yu Wang

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Using Deep Convolutional Neural Networks for Earthquake and Explosion Classification by Mingquan Hong, Hongcai Zhang, Lihua Wu, Jialiang Chen, Lijin Dai, Lujun Wang, Tengchao Dong, Jinling Yang, Lihua Fang

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Shifts in seasonal influenza patterns in Australia during and after COVID-19: A comprehensive analysis by Cynthia Lu, Ian G. Barr, Stephen Lambert, Kerrie Mengersen, Liping Wang, Weizhong Yang, Zhongjie Li, Sotiris Vardoulakis, Hilary Bambrick, Wenbiao Hu

“…Epidemic weeks were detected using a negative binomial threshold, and epidemic onset was estimated with a Bayesian Poisson count detection algorithm. …”
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Adaptive spatial-channel feature fusion and self-calibrated convolution for early maize seedlings counting in UAV images by Zhenyuan Sun, Zhenyuan Sun, Zhenyuan Sun, Zhi Yang, Zhi Yang, Yimin Ding, Yimin Ding, Boyan Sun, Boyan Sun, Saiju Li, Saiju Li, Zhen Guo, Zhen Guo, Lei Zhu, Lei Zhu

“…By integrating RSCconv and ASCFF into other detection frameworks such as Faster R-CNN, RetinaNet, and Deformable DETR, we observed enhanced detection and counting accuracy, further validating the effectiveness of our proposed method. …”
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Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…The models outperformed baseline methods, with LSTMs achieving an MAE of 1.8 for water demand prediction and autoencoders detecting anomalies with an F1-score of 95.5%.…”
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Investigation of Cryptosporidium spp. and Enterocytozoon bieneusi in free-ranged livestock on the southeastern Qinghai–Xizang Plateau, China by Xiaoxue Peng, Xu Wang, Jinhua Jian, Qingqiu Zuo, Hua Liu, Yaxue Wang, Yaxin Su, Jianping Cao, Bin Jiang, Yujuan Shen

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Near real‐time monitoring of wading birds using uncrewed aircraft systems and computer vision by Ethan P. White, Lindsey Garner, Ben G. Weinstein, Henry Senyondo, Andrew Ortega, Ashley Steinkraus, Glenda M. Yenni, Peter Frederick, S. K. Morgan Ernest

“…Wildlife population monitoring over large geographic areas is increasingly feasible due to developments in aerial survey methods coupled with the use of computer vision models for identifying and classifying individual organisms. …”
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Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

“…Mental health prediction systems based on NLP and wearable data delivered up to 91% accuracy in stress and depression detection, while hospital resource forecasting models using deep learning minimized errors in predicting emergency admissions. …”
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A large-scale dataset for training deep learning segmentation and tracking of extreme weather by Sol Kim, Andre Graubner, Lukas Kapp-Schwoerer, Karthik Kashinath, Konrad Schindler

“…The resulting annotations are demonstrated to have characteristics similar to other methods and those generated directly by domain experts.…”
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Identifying Coronal Mass Ejection Active Region Sources: An Automated Approach by Julio Hernandez Camero, Lucie M. Green, Alex Piñel Neparidze

“…Identifying the source regions of coronal mass ejections (CMEs) is crucial for understanding their origins and improving space weather forecasting. We present an automated algorithm for matching CMEs detected by the Large Angle Spectrometric Coronagraph with their source active regions, specifically Space Weather HMI Active Region Patches (SHARPs), between 2010 May and 2019 January. …”
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Characterization of the avian influenza viruses distribution in the environment of live poultry market in China, 2019–2023 by Hong Bo, Ye Zhang, Jie Dong, Xiyan Li, Xiang Zhao, Hejiang Wei, Zi Li, Dayan Wang

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Machine Learning-Based Grasshopper Species Classification using Neutrosophic Completed Local Binary Pattern by Mustafa İlçin, Nuh Alpaslan

“…However, this is a challenging process. Grasshopper detection methods are being developed using traditional forecasting methods by expert entomologists. …”
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Enhancing Business Success Prediction: A Data-Driven Machine Learning Mode by Deo Arpit, Korde Manish, Tiwari Anant, Jain Anant, Choudhary Akash

“…The model incorporates both financial and non-financial characteristics, solving research deficiencies concerning cooperative societies, governance, market rivalry, and external economic factors. Data preprocessing methods, including outlier detection, feature selection, and dimensionality reduction, improve model accuracy. …”
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Tracking Biosecurity Through the Diversity and Network Structure of International Trade by Kong-Wah Sing, Rachel Peden, Damien Hicks

“…Traditional correlations to total number of interceptions remained intractable, but machine learning tools demonstrated predictive power to forecast these temporal patterns. Combined, these methods provide a novel approach for biosecurity monitoring in plant and animal trade across international borders. …”
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Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data by Zhiwei Xun, Farag M. A. Altalbawy, Prakash Kanjariya, R. Manjunatha, Debasish Shit, M. Nirmala, Ajay Sharma, Sarbeswara Hota, Shirin Shomurotova, Fadhil Faez Sead, Hojjat Abbasi, Mohammad Mahtab Alam

“…Each plays a vital role in forecasting the oil production rate. To ensure reliability, robust data preprocessing was conducted using the Monte Carlo outlier detection (MCOD) method to recognize and manage data outliers. …”
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APPLIED ASPECTS OF MODERN ANTI-CRISIS FINANCIAL MANAGEMENT by Zoia S. Pestovska, Кateryna S. Romanova, Olesya S. Rosenberg

“…For early recognition of the signs and causes of the crisis in the enterprise, its prevention and elimination, it is necessary to use special methods of comprehensive diagnosis of the state of the enterprise. …”
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