Cost-effectiveness assessment of liquid biopsy for early detection of lung cancer in Brazil by Kátia Marie Senna, Ivan Ricardo Zimmermann, Márcia Gisele Santos da Costa, Bernardo Rangel Tura, José Ronyeryson dos Santos Evangelista, Marisa Santos

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Design and Analysis of an Effective Architecture for Machine Learning Based Intrusion Detection Systems by Noora Alromaihi, Mohsen Rouached, Aymen Akremi

“…The increase in new cyber threats is the result of the rapid growth of using the Internet, thus raising questions about the effectiveness of traditional Intrusion Detection Systems (IDSs). …”
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On the Optimum Detection of MIMO-SVD Signals With Strong Nonlinear Distortion Effects at the Transmitter by Joao Goncalves, M. Teresa Nogueira, Daniel Dinis, Joao Guerreiro, Rui Dinis

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ASB3 ablation has no detectable effects on spermatogenesis and fertility in male mice by Changtong Xu, Xiya Qiu, Aiyan Zheng, Yan Pu, Tiantian Wu, Jie Ding, Bo Zheng

“…Hence, we demonstrated that ASB3 ablation has no detectable effects on spermatogenesis and fertility in male mice.…”
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Change of sea ice content in the Arctic and the associated climatic effects: detection and simulation by I. I. Mokhov, V. A. Semenov, V. Ch. Khon, F. A. Pogarsky

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usfAD based effective unknown attack detection focused IDS framework by Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, Muna Al-Hawawreh, Md. Alamin Talukder

“…Ensuring robust protection against these threats necessitates the implementation of an effective Intrusion Detection System (IDS). For more than a decade, researchers have delved into supervised machine learning techniques to develop IDS to classify normal and attack traffic. …”
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Effectiveness of smartphone technology for detection of paediatric ocular diseases—a systematic review by Sruthi Vijendran, Yash Alok, Neetha I. R. Kuzhuppilly, Jayasheela R. Bhat, Yogish S. Kamath

“…Overall, these applications demonstrated the potential of smartphones in paediatric eye disease detection. Conclusion Smartphone applications are effective tools for detecting important causes of childhood eye disorders such as strabismus, retinopathy of prematurity, chalazion, and refractive errors. …”
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Effects of Hybridizing the U-Net Neural Network in Traffic Lane Detection Process by Aron Csato, Florin Mariasiu

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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…This approach not only secures effective features but also reduces the feature dimensionality, thereby decreasing the consumption of computational resources. …”
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YOLO-MES: An Effective Lightweight Underwater Garbage Detection Scheme for Marine Ecosystems by Chengxu Huang, Wenyuan Zhang, Beitian Zheng, Jiahao Li, Bochen Xie, Ruisi Nan, Zongming Tan, Baohua Tan, Neal N. Xiong

“…Marine pollution significantly impacts the sustainable development of marine ecosystems and the marine economy. Accurate detection of marine debris is essential for effective pollution control. …”
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An Effective Network Intrusion Detection System Using Recursive Feature Elimination Technique by Narendra Singh Yadav, Vijay Prakash Sharma, D. Sikha Datta Reddy, Saswati Mishra

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AI-Driven Improvements in Electrochemical Biosensors for Effective Pathogen Detection at Point-of-Care by Inderpreet Singh, Asmita Gupta, Chansi Gupta, Ashish Mani, Tinku Basu

“…The rapid and accurate detection of pathogens is vital for effective disease management and control. …”
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YOLO-SDD: An Effective Single-Class Detection Method for Dense Livestock Production by Yubin Guo, Zhipeng Wu, Baihao You, Lanqi Chen, Jiangsan Zhao, Ximing Li

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Novel Matching Algorithm for Effective Drone Detection and Identification by Radio Feature Extraction by Teng Wu, Yan Du, Runze Mao, Hui Xie, Shengjun Wei, Changzhen Hu

“…With the rapid advancement of drone technology, the demand for the precise detection and identification of drones has been steadily increasing. …”
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The effects of using BIM in detecting building design conflicts on architectural design products by Awder Omer Ali 1, a, *, Prof. Dr. Amjad Muhammed Ali Qaradaghi 2, a

“…This research paper investigates the effects of employing BIM in the detection of design conflicts within architectural projects. …”
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Cost-effectiveness assessment of liquid biopsy for early detection of lung cancer in Brazil. by Kátia Marie Senna, Ivan Ricardo Zimmermann, Márcia Gisele Santos da Costa, Bernardo Rangel Tura, José Ronyeryson Dos Santos Evangelista, Marisa Santos

“…<h4>Introduction</h4>Lung cancer has a low survival rate due to late diagnosis, with most cases detected at advanced stages. Liquid biopsy, a non-invasive alternative to tissue biopsy, has emerged as a potential screening tool for early lung cancer detection. …”
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Integrating ANN and ANFIS for effective fault detection and location in modern power grid by Yadav Goutam Kumar, Kirar Mukesh Kumar, Gupta S.C., Rajender Jatoth

“…The model’s performance is evaluated using a simulated power system environment, and its effectiveness is validated through extensive testing under different fault scenarios. …”
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Efficient and Cost-Effective Single Nucleotide Polymorphism Detection with Different Fluorescent Applications by A. Aydin, H. Baron, S. Bähring, H. Schuster, F.C. Luft

“…Three methods—5′ nuclease assay with TaqMan®, minisequencing, and oligonucleotide ligation assay (OLA)—were compared to detect five single nucleotide polymorphisms (SNPs) in three separate genes. …”
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YOLO-RD: A Road Damage Detection Method for Effective Pavement Maintenance by Wei Wang, Xiaoru Yu, Bin Jing, Ziqi Tang, Wei Zhang, Shengyu Wang, Yao Xiao, Shu Li, Liping Yang

“…Road damage detection is crucial for ensuring road safety and minimizing maintenance costs. …”
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Unsupervised Machine Learning for Effective Code Smell Detection: A Novel Method by Ruchin Gupta, Narendra Kumar, Sunil Kumar, Jitendra Kumar Seth

“…Among these, supervised machine learning (SML) has shown effectiveness in detecting code smells. However, SML techniques have significant limitations, including the dependency on expensive and high-quality labeled data, the need for representative training datasets, and the risk of introducing biases in labeled examples that lead to skewed predictions. …”
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