Comparative Study of Cell Nuclei Segmentation Based on Computational and Handcrafted Features Using Machine Learning Algorithms by Rashadul Islam Sumon, Md Ariful Islam Mozumdar, Salma Akter, Shah Muhammad Imtiyaj Uddin, Mohammad Hassan Ali Al-Onaizan, Reem Ibrahim Alkanhel, Mohammed Saleh Ali Muthanna

“…In contrast, the Random Forest, Support Vector Machine, and K-means algorithms yielded lower segmentation performance metrics. …”
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Evaluating the performance of pixel-based and object-based multidimensional clustering algorithms for automated surface water mapping by Bohao Li, Kai Liu, Ming Wang, Yanfang Wang, Linmei Zhuang, Weihua Zhu, Chenxia Li, Linhao Zhang, Yanan Chen

“…Finally, we compared the performance of multidimensional clustering algorithms with that of the modified Otsu thresholding method and the multi-index threshold-based algorithm and found that the former has an advantage in automated surface water extraction.…”
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Advancing Cloud Classification Over the Tibetan Plateau: A New Algorithm Reveals Seasonal and Diurnal Variations by Fangling Bao, Husi Letu, Huazhe Shang, Xu Ri, Deliang Chen, Tandong Yao, Lesi Wei, Chenqian Tang, Shuai Yin, Dabin Ji, Yonghui Lei, Chong Shi, Yiran Peng, Jiancheng Shi

“…Compared with Clouds and the Earth's Radiant Energy System cloud‐type products and ISCCP results obtained from AHI data, this new algorithm markedly improved low‐cloud detection accuracy and better aligned with cloud phase results. …”
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A New Gradient Based Surface Defect Detection Method for the Ceramic Tile by Murat Alparslan Güngör

“…Ceramic tiles are controlled to detect surface defects after production because many defects may occur on their surface during production. …”
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Structural design and optimization of egg carrier for dynamic egg slit detection platforms. by Ronghua Meng, Yuxiang Tian, Siwei Huang

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Machine learning for Internet of things anomaly detection under low-quality data by Shangbin Han, Qianhong Wu, Yang Yang

“…However, the existing schemes ignore the problem of data quality, which leads to the unsatisfactory detection effect in practice. Therefore, practitioners may not know which algorithm to choose due to the lack of review and evaluation of anomaly detection methods under low-quality data. …”
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Inflight Parameter Identification and Icing Location Detection of the Aircraft: The Time-Varying Case by Yiqun Dong, Jianliang Ai

“…This paper considers inflight parameter identification and icing location detection of the aircraft in a more common time-varying nature. …”
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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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Pumping up your predictive power for cognitive state detection with the proper GAINS by Victoria Ribeiro Rodrigues, Jeremy R. Prieto, Szilard L. Beres, Chad Stephens, Christopher Myers, Nicholas J. Napoli

“…Detecting cognitive states and impairments through EEG signals is crucial for applications in aviation and medicine and has broad applications in the field of human–machine interaction. …”
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CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron by Zhenhua Gan, Dongyu He, Peishu Wu, Baoping Xiong, Nianyin Zeng, Fumin Zou, Feng Guo, Qin Bao, Fengyan Zhao

“…The gray-level of the fluorescent probe in detection image was obtained as the data set acquired by the microarray scanner at different exposure time. …”
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Enhancing IoT Network Security Through Deep Learning-Based Intrusion Detection by MOHAMMED FAWWAZ ALI MOHAMMED FAWWAZ ALI

“…It proposes a new deep learning-based Legitimate Load Testing (LLT) attack detection algorithm implemented in Python and supported by libraries such as TensorFlow, scikit-learn, and Seaborn. …”
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Automated Detection of Working Area of Peripheral Blood Smears Using Mathematical Morphology by Jesús Angulo, Georges Flandrin

“…The paper presents a technique to automatically detect the working area of peripheral blood smears stained with May‐Grünwuald Giemsa. …”
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Initial position detection scheme based on discrete pulse signal injection for PMSM by Weiping Duan, Chen Cen, Chen Zhang

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A Fast Fault Detection Scheme for Power Converters In Distributed Generation Systems by Gustavo M. S. Azevedo, Marcelo C. Cavalcanti, Francisco A. S. Neves, Fabricio Bradaschia

“… In this paper, a fault detection algorithm based on voltage disturbances is proposed and analyzed. …”
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Detection of opening motion characteristics in DC circuit breakers based on machine vision. by Zhaoyu Ku, Jinjin Li, Dongheng Li, Huajun Dong

“…The captured images are preprocessed, with coarse edges extracted using the Laplacian algorithm. Franklin moment convolution calculations are then applied to determine sub-pixel coordinates of the image edges based on these coarse edges. …”
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Detection and Analysis of Tooth Profile Deviation of Cycloidal Gear based on Projection Method by Mo Jingyu, Luo Shanming, Mao Lingxia, Fan Jianming

“…Based on the optical image measurement system and the Sobel edge detection algorithm,the complete tooth profile image and the actual tooth profile edge point coordinate of the cycloid gear are obtained. …”
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A policy conflict detection mechanism for multi-controller software-defined networks by You Lu, Qiming Fu, Xuefeng Xi, Zhenping Chen, Encen Zou, Baochuan Fu

“…First, it quantifies and classifies the software-defined policy conflict itself to provide the basis for detection mechanism; then, it proposes a conflict detection model and its deployment scheme for multi-controller software-defined networks; finally, based on the software-defined flow policy’s structure, a multi-branch tree-based policy conflict detection algorithm is proposed to accurately detect the universal types of conflicts. …”
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Detection of Obstacle Intrusion in Front of Train Based on Vehicle-borne LiDAR by ZENG Xiang, JIANG Guotao, PAN Wenbo, LENG Binghan, CHEN Guibin

“…This paper proposes a method to detect obstacle intrusion in front of the trains based on vehicle-borne LiDAR. …”
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Asumu Fractional Derivative Applied to Edge Detection on SARS-COV2 Images by Gustavo Asumu Mboro Nchama, Leandro Daniel Lau Alfonso, Roberto Rodríguez Morales, Ezekiel Nnamere Aneke

“…The experimental comparison show that the proposed method outperforms some edge detection methods. In the next paper, we are planning to improve and combine the proposed filters with artificial intelligence algorithm in order to program a training system for SARS-COV2 image classification with the aim of having a supplemental medical diagnostic.…”
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Early Detection of Mental Health Disorders based on Sentiment using Stacking Method by Naufal Maldini, Danang Wahyu Utomo, Rahmadika Putri Tresyani

“…These results outperform the individual algorithms tested in the research. The findings demonstrate the significant potential of sentiment analysis powered by machine learning for early detection of mental health disorders, making it a valuable tool to enhance diagnosis and intervention in mental health care more effectively.…”
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