Comparison of Statistical Algorithms for the Detection of Infectious Disease Outbreaks in Large Multiple Surveillance Systems. by Doyo G Enki, Paul H Garthwaite, C Paddy Farrington, Angela Noufaily, Nick J Andrews, Andre Charlett

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A comparative assessment of machine learning models and algorithms for osteosarcoma cancer detection and classification by Amoakoh Gyasi-Agyei

“…The empirical model based on the extra trees algorithm and fitted to class-balanced dataset via random oversampling and multicollinearity removed via principal component analysis proved to be the best, as it detected and classified osteosarcoma cancer in 10 ms with 97.8% area under the receiver operating characteristics curve and acceptably low false alarm and misdetection. …”
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Comparative evaluation of multimarker algorithms for early-stage HCC detection in multicenter prospective studies by Jinlin Hou, Thomas Berg, Arndt Vogel, Teerha Piratvisuth, Jörg Trojan, Enrico N. De Toni, Masatoshi Kudo, Katarina Malinowsky, Peter Findeisen, Johannes Kolja Hegel, Wenzel Schöning, Kairat Madin, Konstantin Kroeniger, Henry Lik-Yuen Chan, Ashish Sharma

“…Background & Aims: We compared the clinical performance of the novel GAAD (gender [biological sex], age, alpha-fetoprotein [AFP], des-gamma carboxyprothrombin [DCP]) and GALAD (gender [biological sex], age, AFP, Lens culinaris agglutinin-reactive AFP [AFP-L3], DCP) algorithms to deduce the clinical utility of AFP-L3 for detecting early-stage hepatocellular carcinoma (HCC) from chronic liver disease (CLD). …”
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A Multiuser Detection Algorithm in the Uplink SC-FDMA System for Green Communication Network by Peng Bao, Qingyang Guan, Mingxiang Guan

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Assessing ML classification algorithms and NLP techniques for depression detection: An experimental case study. by Giuliano Lorenzoni, Cristina Tavares, Nathalia Nascimento, Paulo Alencar, Donald Cowan

“…<h4>Conclusions</h4>More comprehensive assessments of ML classification algorithms and NLP techniques for depression detection can advance the state of the art in terms of improved experimental settings and performance.…”
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Performance of Deep Learning-Based Algorithm for Detection of Pediatric Intussusception on Abdominal Ultrasound Images by Zheming Li, Chunze Song, Jian Huang, Jing Li, Shoujiang Huang, Baoxin Qian, Xing Chen, Shasha Hu, Ting Shu, Gang Yu

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Social Bot Detection using Machine Learning Algorithms: A Survey and Research Challenges by Kayhan Zrar Ghafoor

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An Explainable LSTM-Based Intrusion Detection System Optimized by Firefly Algorithm for IoT Networks by Taiwo Blessing Ogunseyi, Gogulakrishan Thiyagarajan

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Detection Algorithm for Air Duct Clamp on Trains Based on RSA-YOLOv10n by WANG Dairong, ZHAO Yuhong, QU Xiaozhang, LIU Yi

“…To address challenges in the detection of air duct clamps due to factors such as dim environments and small objects in train detection, such as insufficient detection accuracy and low detection efficiency, this paper proposes a RSA-YOLOv10n-based detection algorithm, developed utilizing a dataset of air duct clamps collected from trains. …”
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Research on Target Detection Algorithm for Solder Joint Defects Based on the Improved YOLOv8 by Chengkai Zhang, Xiaocui Feng, Pujun Mao, Fuyan Lv

“…Aiming at the problem of low accuracy in solder joint defect detection caused by the complex background and difficult to extract defect features of circuit boards using through-hole technology (THT), an improved YOLOv8 solder joint defect target detection algorithm was proposed. …”
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Boosting Malware Detection with AlexNet and Optimized Neural Networks Using the Grasshopper Algorithm by Mohammed Aswad

Subjects: “…Malware detection…”
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Using Machine Learning Algorithms for Automatic Cyber Bullying Detection in Arabic Social Media by Bedoor Y. AlHarbi, Mashael S. AlHarbi, Nouf J. AlZahrani, Meshaiel M. Alsheail, Dina M. Ibrahim

“…Successful prevention depends on automatically detecting malicious messages. Automatic detection of bullying in the text of social media by analyzing the text "twits" via one of the machine learning algorithms. …”
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ResM-FusionNet for efficient landslide detection algorithm with a hybrid architecture by Xuqing Ren, Xu Wu, Donghao Zhai, Xiangpeng Wang, Ningbo He, Mehreen Tarif

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Detection algorithm for wearing safety helmet under mine based on improved YOLOv5s by Yuanbin WANG, Sixiong WEI, Huaying WU, Yu DUAN, Meng LIU

“…Aiming at the problems of low accuracy and high missed detection rate of personnel safety helmet detection algorithm caused by complex environment under mine, an improved mine safety helmet detection algorithm based on YOLOv5s is proposed. …”
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Photovoltaic panel defect detection algorithm based on infrared imaging and improved YOLOv8 by Jingdong Wang, Zhu Cheng

“…Furthermore, comparisons with several state-of-the-art detection algorithms reveal that the proposed method consistently delivers improved detection performance, validating its effectiveness as a robust solution for photovoltaic panel defect detection.…”
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CSK based on Priority Call Algorithm for Detection and Securing Platoon from Inside Attacks by Mohammed Al Sheıkhly, Sefer Kurnaz

“…The research in this paper focuses on design, detection and the mitigation of attacks in a vehicle platoon. priority call algorithm in combination with color-shift keying modulation is used to protect the platoon alleviating the undesirable impacts such as collisions, oscillations and disintegration in the platoon caused by the attacks.…”
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Adaptive Fractional Differentiation Harris Corner Detection Algorithm for Vision Measurement of Surface Roughness by Rui-Yin Tang, Zhou-Mo Zeng

“…The Harris algorithm via fractional order derivative (the adaptive fractional differentiation Harris corner detection algorithm), which adaptively adjusts the fractal dimension parameter, has been investigated for an analysis of image processing relevant to surface roughness by vision measurements. …”
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DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network by Peitao Cheng, Xuanjiao Lei, Haoran Chen, Xiumei Wang

“…As a computer vision task, object detection algorithms can be applied to various real-world scenarios. …”
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Deep Learning Approach for Arm Fracture Detection Based on an Improved YOLOv8 Algorithm by Gerardo Meza, Deepak Ganta, Sergio Gonzalez Torres

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Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms. by Afnan M Alhassan, Nouf I Altmami

“…Identifying mitosis is crucial for cancer diagnosis, but accurate detection remains difficult because of class imbalance and complex morphological variations in histopathological images. …”
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