Detection of early relapse in multiple myeloma patients by Tereza Růžičková, Monika Vlachová, Lukáš Pečinka, Monika Brychtová, Marek Večeřa, Lenka Radová, Simona Ševčíková, Marie Jarošová, Josef Havel, Luděk Pour, Sabina Ševčíková

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Computer-Aid System for Automated Jaundice Detection by Ahmad Yaseen Abdulrazzak, Saleem Latif Mohammed, Ali Al-Naji, Javaan Chahl

“…The results of this study are promising and open doors for new monitoring applications in various medical diseases detection with a high degree of accuracy. …”
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Review of Methods for Detection Helicobacter pylori in Kazakhstan by Lavrinenko Alyona, Seisenbekova Aizhan, Turemuratova Aidana, Shkreba Alexey, Yukhnevich Yekaterina

“…This may be due to the difficulty of detecting H. pylori and the unavailability of diagnostic methods. …”
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Recent Advances in Nanomaterials for Environmental Detection and Remediation by Jumin Hao, Qichen Wang, Jianfeng Zhang, Lili He, Liping Qiu

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Hand Detection Using Cascade of Softmax Classifiers by Yan-Guo Zhao, Feng Zheng, Zhan Song

“…Sliding-window based multiclass hand posture detections are often performed by detecting postures of each predefined category using an independent detector, which makes it lack efficiency and results in high postures confusion rates in real-time applications. …”
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Exposing Image Forgery by Detecting Consistency of Shadow by Yongzhen Ke, Fan Qin, Weidong Min, Guiling Zhang

“…We propose two tampered image detection methods based on consistency of shadow. The first method is based on texture consistency of shadow for the first kind of splicing image, in which the shadow as well as main body is copied and pasted from another image. …”
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Impact of stellar variability on exoplanet detectability and characterisation by Meunier, Nadège

“…Stellar variability has become a major issue to detect low mass planets using the radial velocity technique. …”
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Person Detection for an Orthogonally Placed Monocular Camera by Pavel Skrabanek, Petr Dolezel, Zdenek Nemec, Dominik Stursa

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Detection of Fuzzy Association Rules by Fuzzy Transforms by Ferdinando Di Martino, Salvatore Sessa

“…We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. …”
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The Effectiveness of Dipstick for the Detection of Urinary Tract Infection by Isaac Dadzie, Elvis Quansah, Mavis Puopelle Dakorah, Victoria Abiade, Ebenezer Takyi-Amuah, Richmond Adusei

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Computer Vision System for Facial Palsy Detection by Ali Saber Amsalam, Ali Al-Naji, Ammar Yahya Daeef, Javaan Chahl

Subjects: “…Non-Contact Palsy Detection…”
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Detection of Partial Discharge in Liquid via Interferometry by Liang Xue, Hao Zhou, Wenjing Wang, Junjie Chen, Lunming Qin, Chao Jiang, Haoyang Cui

Subjects: “…Partial discharge detection…”
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Detection of exoplanets: exploiting each property of light by Rouan, Daniel, Lagrange, Anne-Marie

“…Up to now and probably for still a long time, the only support of information used to detect exoplanets has been the analysis of light, either visible or infrared. …”
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Hybrid Intrusion Detection System for DDoS Attacks by Özge Cepheli, Saliha Büyükçorak, Güneş Karabulut Kurt

“…In this paper we propose a hybrid detection system, referred to as hybrid intrusion detection system (H-IDS), for detection of DDoS attacks. …”
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Convolutional neural networks for diabetic retinopathy detection by Darwin Patiño-Pérez, Luis Armijos-Valarezo, Luis Chóez-Acosta, Freddy Burgos-Robalino

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Authorship identification methods in student plagiarism detection by A. I. Paramonov, I. A. Trukhanovich

“…In the modern educational context the problem of plagiarism is urgent and requires the development of effective methods of detection and prevention of this phenomenon. The application of authorship identification methods in the field of student plagiarism detection is considered. …”
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Deep Learning Based DDoS Attack Detection by Xu Ziyi

“…In order to improve detection accuracy and generalization, this research suggests a deep learning-based detection model that combines the Long Short-Term Memory (LSTM) network architecture with Convolutional Neural Networks (CNN). …”
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Multichannel Saliency Detection Based on Visual Bionics by Lidan Cheng, Tianyi Li, Shijia Zha, Wei Wei, Jihua Gu

“…Inspired by the visual properties of the human eyes, the depth information of visual attention is integrated into the saliency detection to effectively solve problems such as low accuracy and poor stability under similar or complex background interference. …”
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Application of Targeted Proteomics in Food Safety Detection by CHEN Mengqi, PENG Miaoxi, LIU Jingwen, HUANG Chengdong, WU Zuqing, LING Li, YUAN Muyun, CHEN Wenrui, HU Songqing

“…The progress that has been made in the application of targeted proteomics in food safety detection in the last five years is summarized including authentication of animal-derived foods, analysis of food allergens, and detection of foodborne pathogens and their toxins. …”
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Scan Statistics for Detecting High-Variance Clusters by Lionel Cucala

“…Scan statistics are mostly used to detect spatial areas or time intervals in which the mean level of a given variable is more important. …”
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