Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms by Anjan Kumar Pradhan, Prasad Gandham, Kanniah Rajasekaran, Niranjan Baisakh

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Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms? by Khabat Khosravi, Aitazaz A. Farooque, Sayed M. Bateni, Changhyun Jun, Dorsa Mohammadi, Zahra Kalantari, James R. Cooper

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Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes by Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad

“…This study advances previous research by simultaneously predicting multiple mechanical properties, offering an efficient alternative to expensive laboratory tests. …”
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Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations by J. Xia, L. Guan

“…<p>Cloud fraction as a vital component of meteorological satellite products plays an essential role in environmental monitoring, disaster detection, climate analysis and other research areas. Random forest (RF) and multilayer perceptron (MLP) algorithms were used in this paper to retrieve the cloud fraction of AGRI (Advanced Geosynchronous Radiation Imager) on board the Fengyun-4A (FY-4A) satellite based on its full-disk level-1 radiance observation. …”
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A new algorithm for automating power supply of an AC traction network with a sectioning points on switches by L. A. German, A. Yu. Popov, A. V. Samorukov, D. V. Ishkin, D. V. Yakunin, K. S. Subkhanverdiev

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Application of machine learning algorithms and SHAP explanations to predict fertility preference among reproductive women in Somalia by Jamilu Sani, Salad Halane, Abdiwali Mohamed Ahmed, Mohamed Mustaf Ahmed

“…This study leverages machine learning (ML) algorithms and Shapley Additive extensions (SHAP) to identify key predictors of fertility preferences among reproductive-aged women in Somalia. …”
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Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm by Mousa Mirmoradi, Mohammad Gholami Parashkoohi, Hamed Afshari, Ahmad Mohammadi

“…This study focuses on optimizing energy efficiency and environmental performance in the production of cotton and canola through the application of the Imperialist Competitive Algorithm (ICA). Conducted in the Dasht-e Gorgan region of Iran, the research provides a comprehensive analysis of energy inputs and outputs for both crops. …”
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Analysis of Disease-Induced Changes in Human Locomotor Patterns Through the Co-Joint Synergistic Attention Algorithm by Jingyao Chen, Chen Wang, Zeng-Guang Hou, Pingye Deng, Liang Peng, Pu Zhang, Ningcun Xu

“…Results: Through the co-joint synergistic attention algorithm, we found significant differences in joint synergy patterns between post-stroke patients and healthy individuals during upper and lower limb tasks. …”
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Study on the mechanical properties of stratified rock mass based on 3D printing technology and FDEM algorithm by Yongchao Tian, Kaifang Ren, Fan He, Yong Liu, Penghai Deng, Jiaqi Guo, Feiyue Sun, Xin Huang, Jun Zhang

“…According to the results of orthogonal test, the sensitivity of each dominant factor to the mechanical properties of specimens with precast crack is carefully evaluated. The research findings would lay a crucial theoretical foundation for deformation control and stability analysis in engineering practice associated with stratified rock mass and provide reference for the application of 3D printing technology and FDEM algorithm to rock mechanics.…”
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Optimal design of tilt integral derivative controller for a boost converter based on swarm-inspired algorithms by Adnan Mukhtar, Pyare Mohan Tiwari, Saud Alotaibi, Thabet Alzahrani, Borchala Namomsa, Mahrous Ahmed

“…The TID controller is designed with the aid of swarm inspired algorithms, particularly Artificial Bee Colony (ABC) and Salp Swarm Optimization (SSO). …”
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An open dataset and machine learning algorithms for Niacin Skin-Flushing Response based screening of psychiatric disorders by Xuening Lyu, Rimsa Goperma, Dandan Wang, Chunling Wan, Liang Zhao

“…The core of our methodology involves a novel algorithm featuring an Efficient-Unet based Deep Learning model for the precise segmentation of NSR areas. …”
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An Improved 2D Pose Estimation Algorithm for Extracting Phenotypic Parameters of Tomato Plants in Complex Backgrounds by Yawen Cheng, Ni Ren, Anqi Hu, Lingli Zhou, Chao Qi, Shuo Zhang, Qian Wu

“…Deep learning algorithms such as object detection and segmentation have been widely utilized to extract plant phenotypic parameters. …”
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Sliding window based rare partial periodic pattern mining algorithms over temporal data streams by K. Jyothi Upadhya, Ronan Lobo, Mini Shail Chhabra, Aman Paleja, B. Dinesh Rao, Geetha M., Prachi Sisodia, Bolusani Akshita Reddy

“…Recently, a variety of industries, including fraud detection, telecommunications, retail marketing, research, and medical have found applications for rare association rule mining, which uncovers unusual or unexpected combinations. …”
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Validation of an algorithm to evaluate the appropriateness of outpatient antibiotic prescribing using big data of Chinese diagnosis text by Li Wei, Siyan Zhan, Mei Zhang, Bin Cao, Houyu Zhao, Jiaming Bian, Liuyi Li, Yingqiu Ying, Zeyu Zhang, Xiaoying Yao

“…Objective We aimed to evaluate the validity of an algorithm to classify diagnoses according to the appropriateness of outpatient antibiotic use in the context of Chinese free text.Setting and participants A random sample of 10 000 outpatient visits was selected between January and April 2018 from a national database for monitoring rational use of drugs, which included data from 194 secondary and tertiary hospitals in China.Research design Diagnoses for outpatient visits were classified as tier 1 if associated with at least one condition that ‘always’ justified antibiotic use; as tier 2 if associated with at least one condition that only ‘sometimes’ justified antibiotic use but no conditions that ‘always’ justified antibiotic use; or as tier 3 if associated with only conditions that never justified antibiotic use, using a tier-fashion method and regular expression (RE)-based algorithm.Measures Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the classification algorithm, using classification made by chart review as the standard reference, were calculated.Results The sensitivities of the algorithm for classifying tier 1, tier 2 and tier 3 diagnoses were 98.2% (95% CI 96.4% to 99.3%), 98.4% (95% CI 97.6% to 99.1%) and 100.0% (95% CI 100.0% to 100.0%), respectively. …”
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Distributed hybrid energy storage photovoltaic microgrid control based on MPPT algorithm and equilibrium control strategy by Yanlong Qi, Rui Liu, Haisheng Lin, Junchen Zhong, Zhen Chen

“…In the performance comparison analysis of the research algorithm, the average accuracy and average loss value of the algorithm were 98.2% and 0.15, respectively, which were significantly better than the compared algorithms. …”
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Research on RF Intensity Temperature Sensing based on 1D-CNN by DING Meiqi, GUI Lin, WANG Ziyi, SHANG Disen, QIAN Min, LI Qiankun

“…Compared with the traditional Gaussian fitting algorithm, the demodulation speed of the 1D-CNN-based algorithm is improved by 2.72 times. 1D-CNN shows high stability and low error under different temperature conditions.…”
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Research on Lightweight Method of Insulator Target Detection Based on Improved SSD by Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie

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Research and Design of an Airfield Runway FOD Detection System Based on WSN by Li Ang

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Research on Information Security Mechanism Used in Network Video Surveillance System by Yanxia Zhang, Hong Li, Jun Chen, Xiaoguang Yang

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Ex-vivo validation of nine algorithms for quantifying infarcts with late gadolinium enhancement cardiovascular magnetic resonance by Sascha Kopic, Einar Heiberg, Henrik Engblom, Marcus Carlsson, David Nordlund, Robert Jablonowski, Mikael Kanski, Christos Xanthis, Sebastian Bidhult, Anthony H. Aletras, Håkan Arheden

“…Furthermore, the reported algorithm performance varies considerably between studies. …”
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