Development of YOLO-Based Mobile Application for Detection of Defect Types in Robusta Coffee Beans by Eko Dwi Nugroho, Miranti Verdiana, Muhammad Habib Algifari, Aidil Afriansyah, Hafiz Budi Firmansyah, Alya Khairunnisa Rizkita, Richard Arya Winarta, David Gunawan

“…However, the identification of defects in coffee beans is still largely performed manually, making the process error-prone and time-consuming. This study aims to develop a YOLO-based mobile application to detect defects in Robusta coffee beans quickly and accurately. …”
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Development of Automated Fire Control System: An Integrated Solution for Gas, Fire, and Smoke Detection by Syed Saad Ali, Shujaat Ali, Sajjad Ali, Asad A. Zaidi, Ahsan Zafar, Saqib Munawwar, Muhammad Shafique

Subjects: “…Real-time fire smoke detection…”
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Development of a Multiplex RT-PCR for the Simultaneous Detection of Five Viruses and Viroids in Peach by Jeong-Eun Kim, Boram Kwon, Eun Jung Heo, Eunhae Baek, Gahyun Son, Hyun Joo Shin

“…A multiplex reverse transcription-polymerase chain reaction (mRT-PCR) assay was developed for the simultaneous detection of three viruses and two viroids infecting peach trees, including apple chlorotic leaf spot virus, plum bark necrosis stem pitting-associated virus, peach-associated luteovirus, peach latent mosaic viroid, and hop stunt viroid, which have been reported in peach trees in Korea. …”
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Development of a semicomprehensive detection method for paramyxoviruses and its validation using Indonesian bats by Dela Ria Nesti, Kyoko Hayashida, Tatsuki Sugi, Wayan T. Artama, Hery Wijayanto, Naoko Kawai, Junya Yamagishi

“…Here, we developed a semicomprehensive detection method integrating group-wide RT-PCR for paramyxoviruses and multiplex next-generation sequencing. …”
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Combined Thermal Index Development for Urban Heat Island Detection in Area of Split, Croatia by Majda Ćesić, Katarina Rogulj, Andrija Krtalić

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Improvement of design anti-pattern detection with spatio-temporal rules in the software development process by Łukasz Puławski

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Development of a New Approach to the Problem of Detecting the Integrity Violations of a Digital Image by Bobok I., Kobozeva A.

“…The aim of the work is to de-velop the new approach to the examination of the integrity of images, which will provide the possibility of building universal methods for detecting its violations, effective regardless of the strength and type of influences that change them. …”
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Developing a hybrid feature selection method to detect botnet attacks in IoT devices by Alshaeaa H.Y., Ghadhban Z.M., Ministry of Education, Iraq

“…This article aims to develop a hybrid feature selection method to find the most influential features based on three feature selection methods, correlation, generalized normal distribution optimization, and lasso, to detect botnet attacks in IoT devices. …”
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Design, Development, and Method Evaluation of Aptamer-Based Diagnostics for the Detection of Multidrug-Resistant Bacteria by N. Jaya Lakshmi, Hariprasad Puttaswamy

“…This study aims to identify highly specific aptamers that can bind specifically to <i>P. aeruginosa</i> using whole-bacterium SELEX at any stage of growth with an extensive study of binding site interaction and identification. The objective is to develop an aptamer-based kit enabling rapid point-of-care detection of <i>P. aeruginosa</i> in clinical and environmental samples.…”
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Arrhythmia detection with transfer learning architecture integrating the developed optimization algorithm and regularization method by Fatma Akalın, Pınar Dervişoğlu Çavdaroğlu, Mehmet Fatih Orhan

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Development and Validation of a Deep Learning System for the Detection of Nondisplaced Femoral Neck Fractures by Lianxin Wang, Ce Zhang, Yaozong Wang, Xin Yue, Yunbang Liang, Naikun Sun

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Development of isothermal nucleic acid amplification technologies for rapid detection of Porcine Enterovirus-G. by Sarshti Kaushik, Sushila Maan, Kanisht Batra, Swati Sindhu, Vijay Kadian, Aman Kumar

“…Therefore, there is an immediate need for isothermal nucleic acid amplification techniques-specifically, Recombinase Polymerase Amplification (RPA) and Polymerase Spiral Reaction (PSR) that offer rapid, sensitive, and field-deployable detection of PEV-G. In this study, we successfully developed and optimized two isothermal nucleic acid amplification assays namely RPA/RT-RPA and PSR/RT-PSR to detect PEV-G in swine populations in Haryana. …”
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Development of an Immunoassay for the Detection of Amyloid Beta 1-42 and Its Application in Urine Samples by Anurak Wongta, Surat Hongsibsong, Somporn Chantara, Mookda Pattarawarapan, Ratana Sapbamrer, Korawan Sringarm, Zhen-Lin Xu, Hong Wang

“…Currently, methods for detecting Aβ1-42 are complicated and expensive. The present study is aimed at developing an indirect competitive enzyme-linked immunosorbent assay (ic-ELISA) to detect Aβ1-42 by using a polyclonal antibody from alpaca, an application used in urine samples. …”
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Editorial Expression of Concern: Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram by Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Dong Geum Shin, Yeongyeon Na, Jwa-Kyung Kim, Hyung-Seok Lee, Young Rim Song, Yeha Lee, Sung Gyun Kim

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Development of a point of care (POC) test as an immunobiosensor for okadaic acid detection in mussels by E. Daniso, P. Melpignano, M. Cocchi, S. Susmel, F. Tulli

“…An immunobiosensor test, based on immunoaffinity reaction utilizing commercially available monoclonal antibodies, has been optimized and validated for the detection of okadaic acid in mussel (Mytilus galloprovincialis) extracts, with a limit of detection of 60 µg/kg, a sensitivity of 0.68 n° of counts/ ug/Kg and a screening test range between of 60–350 ug/kg. …”
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An exploration study to detect important factors influencing on development of RFID in after sales services by Gholamreza Hashemzadeh, Ali Namkin, Mohammad Hassani

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Providing a Prostate Cancer Detection and Prevention Method With Developed Deep Learning Approach by Alireza Zarei, Elias Mazrooei Rad, Shahryar Salmani Bajestani, Seyyed Ali Zendehbad

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Development of a Tool for Comprehensive Balance Assessment Based on Artificial Intelligence and Anomaly Detection by Márcio Fagundes Goethel, Klaus Magno Becker, Franciele Carvalho Santos Parolini, Ulysses Fernandes Ervilha, João Paulo Vilas-Boas

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Early Detection of Common Skin Diseases, Including Leprosy: Development and Validation of an Awareness Questionnaire by Ulfah Abqari, Ulfah Abqari, Muhammad Atoillah Isfandiari, Yudhy Dharmawan, Yudhy Dharmawan, Nadhila Beladina, Janet Matani, Mursyidul Ibad, Dian Kusuma, Feby Dwirahmadi, Jan Hendrik Richardus, Ida J. Korfage

“…This study aimed to develop and validate a questionnaire assessing community awareness and early detection of common skin diseases, including leprosy, in Indonesia.MethodsThe questionnaire was drafted in English, translated into Bahasa Indonesia, and tested for face validity, content validity, and internal consistency. …”
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Cloning and expression of reticuloendotheliosis virus (REV) and development of indirect-ELISA for detection of antibody to REV by YU Chong, HUANG Yong, TIAN Ming-xing, SHI Min, LI Min, ZHAO Fang-fang

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