Image information optimization processing based on fractional order differentiation and WT algorithm. by Qiong Long

“…Therefore, the study is based on wavelet transform algorithm and fractional order differentiation to perform edge detection and image fusion. …”
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A Novel Hierarchical Clustering Algorithm Based on Density Peaks for Complex Datasets by Rong Zhou, Yong Zhang, Shengzhong Feng, Nurbol Luktarhan

“…Clustering aims to differentiate objects from different groups (clusters) by similarities or distances between pairs of objects. …”
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Radiological Semiotics of Different Types of Nontuberculous Pulmonary Mycobacterioses by R. B. Amansakhedov, L. I. Dmitrieva, T. G. Smirnova, A. D. Egorova, A. E. Ergeshov

“…Objective: to determine, evaluate, and describe different radiological patterns of microbiologically identified nontuberculous pulmonary mycobacterioses (NTPM) based on multislice computed tomography data.   …”
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

“…This study systematically evaluated the performance of each feature selection algorithm under different population sizes, specifically by comparing their average running time and objective function values to identify the optimal feature subset. …”
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MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

“…To assess MOBCSA’s performance, evaluation experiments were conducted on six benchmark biomedical datasets using three different classifiers. …”
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Outlier Detection of Photovoltaic Power Generation System Data Based on GMM-IF Algorithm by Xin Li, Guoxin Du, Yuman Li, Zengqiang Ma, Lihu Liu, Minglong Jiang, Feiyu Liu, Tianming Mu

“…Additionally, it integrates an Isolation Forest (IF) as the decision-making mechanism for detailed detection, further enhancing detection accuracy. Under different operating conditions and actual photovoltaic array datasets, comparative experiments were conducted using different evaluation metrics and algorithms to verify the effectiveness and superiority of the GMM-IF algorithm. …”
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Energy-Efficient Data Recovery via Greedy Algorithm for Wireless Sensor Networks by Zhi-qiang Zou, Ze-ting Li, Shu Shen, Ru-chuan Wang

“…Furthermore, we study three different greedy algorithms under DAF_CSOR. Results of evaluation experiments show that the proposed sparsity-adaptive DAF_CSOR is relatively optimal in terms of recovery accuracy. …”
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Multi-Dimensional Feature Fusion and Enhanced Attention Streaming Movie Prediction Algorithm by Hanqing Hu, Tianmu Tian, Chengjing Liu, Xueyuan Bai

“…The experimental results show that the proposed algorithm FFLSTMEA achieves better prediction results with an average absolute error (MAE) of 3.50, a root mean square error (RMSE) of 5.28, and a coefficient of determination (R-squared) of 0.87 in the evaluation index. …”
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Mechanisms for Securing Autonomous Shipping Services and Machine Learning Algorithms for Misbehaviour Detection by Marwan Haruna, Kaleb Gebremichael Gebremeskel, Martina Troscia, Alexandr Tardo, Paolo Pagano

“…This paper proposes an approach that operates on two different levels to address cybersecurity. On one side, our solution is intended to secure communication channels between the SCCs and the vessels using Secure Exchange and COMmunication (SECOM) standard; on the other side, it aims to secure the underlying digital infrastructure in charge of data collection, storage and processing by relying on a set of machine learning (ML) algorithms for anomaly and intrusion detection. …”
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Sitting Posture Detection and Classification Using Machine Learning Algorithms on RapidMiner by Chawakorn Sri-ngernyuang, Prakrankiat Youngkong, Jinpitcha Mamom, Duangruedee Lasuka

“…In this study, a cushion pad with a pressure sensor implanted that can recognize and classify different postures using machine learning techniques is developed and evaluated. …”
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Automated Food Weight and Content Estimation Using Computer Vision and AI Algorithms by Bryan Gonzalez, Gonzalo Garcia, Sergio A. Velastin, Hamid GholamHosseini, Lino Tejeda, Gonzalo Farias

“…An RGB camera is employed to capture the tray delivery process in a self-service restaurant, providing test images for plate counting and content identification algorithm comparison, using standard evaluation metrics. …”
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Machine learning algorithms to detect patient–ventilator asynchrony: a feasibility study by Guillermo Gutierrez, Kendrew Wong, Arun Jose, Jeffrey Williams

“…The accuracy of these algorithms was evaluated based on their ability to correctly identify epochs, and their clinical reliability was assessed by comparing their predictions to those of clinicians with different levels of experience in asynchrony classification. …”
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Geological Stratification Technology Based on Artificial Intelligence Algorithms and Its Application Effects by GAO Yuan, YAO Weihua, CAI Shaofeng, LI Liang, XUE Yuan, ZHAO Peipei, WANG Xiaoyang, WEI Wei

“…Moreover, there are significant differences in stratification among different geological researchers, and the stratification results are unstable. …”
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Effective Estimation of Hourly Global Solar Radiation Using Machine Learning Algorithms by Abdurrahman Burak Guher, Sakir Tasdemir, Bulent Yaniktepe

“…The performance of the estimation models was evaluated by comparing each model with different statistical indicators and with previous studies. …”
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Parameter Identification in Triple-Diode Photovoltaic Modules Using Hybrid Optimization Algorithms by Dhiaa Halboot Muhsen, Haider Tarish Haider, Yaarob Al-Nidawi

“…A new formula is presented to adapt the control parameters (mutation factor and crossover rate) of the DEA. Seven different experimental data sets are used to improve the performance of the proposed differential evolution with an integrated mutation per iteration algorithm (DEIMA). …”
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MAF: An algorithm based on multi-agent characteristics for infrared and visible video fusion. by Yandong Liu, Linna Ji, Fengbao Yang, Xiaoming Guo

“…Addressing the limitation of existing infrared and visible video fusion models, which fail to dynamically adjust fusion strategies based on video differences, often resulting in suboptimal or failed outcomes, we propose an infrared and visible video fusion algorithm that leverages the autonomous and flexible characteristics of multi-agent systems. …”
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Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review by Charbel Mattar, Jacques Bou Abdo, Jacques Demerjian, Abdallah Makhoul

“…The review focuses on identifying the algorithms and simulators employed, their strengths and limitations, and how their performance is evaluated under different IoT network topologies. …”
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Recognition of Augmented Frontal Face Images Using FFT-PCA/SVD Algorithm by Francis Ayiah-Mensah, Louis Asiedu, Felix O. Mettle, Richard Minkah

“…The statistical evaluation revealed that there exists a significant difference in the average recognition distances for the face images with missingness and augmented face images when FFT-PCA/SVD is used for recognition. …”
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Weighted Energy-Balanced Efficient Routing Algorithm for Wireless Body Area Network by Zhuoming Li, Zhenyu Xu, Shengge Mao, Xing Tong, Xuejun Sha

“…Theoretical analysis and simulation result are demonstrated to evaluate the performance of the algorithm and represent that energy consumption of sensors in the network is reasonably scheduled and life cycle of the network is significantly extended. …”
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Parameter Optimization of MALDI-TOF MS Based on Improved Whale Optimization Algorithm by Yu-peng ZHANG, Yu-gong DANG, Hui-yuan YANG, Zhi-gang ZHOU, Gao-hang JIANG

“…Resolution is an important indicator to evaluate the performance of a mass spectrometer to distinguish ions with different mass-to-charge ratios. …”
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