A Machine Learning-Based Risk Prediction Model During Pregnancy in Low-Resource Settings by Kapil Tomar, Chandra Mani Sharma, Tanisha Prasad, Vijayaraghavan M. Chariar

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Forest Fire Detection Using Wireless Sensors and Networks by Mingyue Wang

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Performance of Continuous Digital Monitoring of Vital Signs with a Wearable Sensor in Acute Hospital Settings by Meera Joshi, Fahad M. Iqbal, Mansour Sharabiani, Hutan Ashrafian, Sonal Arora, Kenny McAndrew, Sadia Khan, Graham Cooke, Ara Darzi

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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

“…As a result, object detection in aerial images faces challenges like difficulty in extracting small target information and poor integration of spatial and semantic data. …”
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Exploring End-to-End object detection with transformers versus YOLOv8 for enhanced citrus fruit detection within trees by Zineb Jrondi, Abdellatif Moussaid, Moulay Youssef Hadi

“…Our approach employs a data-driven methodology, dividing the dataset into training and testing sets, with rigorous validation to ensure robustness.For DETR, evaluation results demonstrate promising performance across various IoU thresholds, indicating its effectiveness in accurately localizing fruits within bounding boxes. …”
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The Role of Freehand Transperineal Prostate Biopsy Under Local Anesthesia Without Antibiotics in Outpatient Settings by Gonglin Tang, Rui Yang, Jianing Sun, Feng Zhang, Jitao Wu, Hongwei Zhao

“…The conclusions suggest that FTPB under LA in an outpatient setting without antibiotics is safe, feasible, and efficient.…”
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Dissemination of ST101 blaOXA-48 producing Klebsiella pneumoniae at tertiary care setting by Hadir ElMahallawy, Mai Mahmoud Zafer, Mohamed Al-Agamy, Magdy Aly Amin, Mai Muhammed Mersal, Rayan Yousef Booq, Essam Alyamani, Samah Radwan

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Prevalence of cervical dysplasia and its relationship with socio-demographic characteristics in a low-resource setting by Babatunde Enoch Adewumi, Julius kolajo Dare, Rita Omobosola Alabi, Rosemary Oluwatosin Komolafe, Sonnen Atinge, Enoch Olaoluwa Olatoye, Halimat Eyitayo Issa, Bethrand Ozioma Chukwu, Emmanuel Kokori, Alexander Idu Entonu

“…Informed consent was obtained from each participant, and data were collected through structured questionnaires. …”
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cpop: Detecting Changes in Piecewise-Linear Signals by Paul Fearnhead, Daniel Grose

“… Changepoint detection is an important problem with a wide range of applications. …”
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Study on privacy preserving encrypted traffic detection by Xinyu ZHANG, Bingsheng ZHANG, Quanrun MENG, Kui REN

“…Existing encrypted traffic detection technologies lack privacy protection for data and models, which will violate the privacy preserving regulations and increase the security risk of privacy leakage.A privacy-preserving encrypted traffic detection system was proposed.It promoted the privacy of the encrypted traffic detection model by combining the gradient boosting decision tree (GBDT) algorithm with differential privacy.The privacy-protected encrypted traffic detection system was designed and implemented.The performance and the efficiency of proposed system using the CICIDS2017 dataset were evaluated, which contained the malicious traffic of the DDoS attack and the port scan.The results show that when the privacy budget value is set to 1, the system accuracy rates are 91.7% and 92.4% respectively.The training and the prediction of our model is efficient.The training time of proposed model is 5.16 s and 5.59 s, that is only 2-3 times of GBDT algorithm.The prediction time is close to the GBDT algorithm.…”
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An Intelligent Model for Facial Skin Colour Detection by Chih-Huang Yen, Pin-Yuan Huang, Po-Kai Yang

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Voice Detection Using Convolutional Neural Network by U. A. Vishniakou, B. H. Shaya

“…Unlike the existing modern works related to this area, proposed system was evaluated using a real set of environmental sound data, and not only on filtered or separated voice audio tracks. …”
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Stochastic List Generator for Iterative MIMO Detection by Stephen N. Jenkins, Behrouz Farhang-Boroujeny

“…We take note that to develop a low-complexity detector one should first obtain a list of candidate samples of the transmitted data symbols that closely match with the received signal. …”
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Robustness evaluation of commercial liveness detection platform by Pengcheng WANG, Haibin ZHENG, Jianfei ZOU, Ling PANG, Hu LI, Jinyin CHEN

“…Liveness detection technology has become an important application in daily life, and it is used in scenarios including mobile phone face unlock, face payment, and remote authentication.However, if attackers use fake video generation technology to generate realistic face-swapping videos to attack the living body detection system in the above scenarios, it will pose a huge threat to the security of these scenarios.Aiming at this problem, four state-of-the-art Deepfake technologies were used to generate a large number of face-changing pictures and videos as test samples, and use these samples to test the online API interfaces of commercial live detection platforms such as Baidu and Tencent.The test results show that the detection success rate of Deepfake images is generally very low by the major commercial live detection platforms currently used, and they are more sensitive to the quality of images, and the false detection rate of real images is also high.The main reason for the analysis may be that these platforms were mainly designed for traditional living detection attack methods such as printing photo attacks, screen remake attacks, and silicone mask attacks, and did not integrate advanced face-changing detection technology into their liveness detection.In the algorithm, these platforms cannot effectively deal with Deepfake attacks.Therefore, an integrated live detection method Integranet was proposed, which was obtained by integrating four detection algorithms for different image features.It could effectively detect traditional attack methods such as printed photos and screen remakes.It could also effectively detect against advanced Deepfake attacks.The detection effect of Integranet was verified on the test data set.The results show that the detection success rate of Deepfake images by proposed Integranet detection method is at least 35% higher than that of major commercial live detection platforms.…”
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Comparing vector and human surveillance strategies to detect arbovirus transmission: A simulation study for Zika virus detection in Puerto Rico. by Zachary J Madewell, Ryan R Hemme, Laura Adams, Roberto Barrera, Stephen H Waterman, Michael A Johansson

“…<h4>Objectives</h4>We leveraged a unique set of data from human and virological surveillance in Ae. aegypti during the 2016 ZIKV epidemic in Caguas, Puerto Rico, to compare alternative strategies for detecting and monitoring ZIKV activity.…”
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METHODS FOR EARLY DETECTION OF LUNG CANCER (REVIEW) by E. O. Rodionov, S. A. Tuzikov, S. V. Miller, D. E. Kulbakin, V. I. Chernov

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Exploring feature sparsity for out-of-distribution detection by Qichao Chen, Kuan Li, Zhiyuan Chen, Tomas Maul, Jianping Yin

“…Abstract Out-of-distribution (OOD) detection is a crucial problem in practice, especially, for the safe deployment of machine learning models in industrial settings. …”
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Detection of Crowd concentrations with YOLO V3 by Ba Duy Nguyen, Thanh Nhan Dinh, Thanh Bach Nguyen, Quoc Dinh Truong

“…The obtained results on test data extracted from 2 data sets STCrowd, SmartCity, and our self-collected dataset confirm the feasibility of the proposed method. …”
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Detection of Crowd concentrations with YOLO V3 by Ba Duy Nguyen, Thanh Nhan Dinh, Thanh Bach Nguyen, Quoc Dinh Truong

“…The obtained results on test data extracted from 2 data sets STCrowd, SmartCity, and our self-collected dataset confirm the feasibility of the proposed method. …”
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Breast Cancer Detection Using Deep Learning by ahmed Abed Maeedi, Dalal Abdulmohsin Hammood, Shatha Mezher Hasan

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